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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "81bb6f5f-9d11-46a3-9e3c-042873122296",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/charkins/miniconda3/envs/melodies-monet_aircraft/lib/python3.9/site-packages/dask/dataframe/_pyarrow_compat.py:17: FutureWarning: Minimal version of pyarrow will soon be increased to 14.0.1. You are using 11.0.0. Please consider upgrading.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "from melodies_monet import driver"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "357444ae-d085-46fa-8557-00f83f5ad7cd",
+   "metadata": {},
+   "source": [
+    "### Driver class\n",
+    "\n",
+    "Now lets create an instance of the python driver analysis class. It consists of 4 main parts; model instances, observation instances, a paired instance of both. This will allow us to move things around the plotting function for spatial and overlays and more complex plots.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "4f19da3d-3db9-436f-98f8-8c5dd4223ec3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'analysis': {'start_time': '2019-09-05-12:00:00',\n",
+       "  'end_time': '2019-09-06-00:00:00',\n",
+       "  'output_dir': '/wrk/charkins/melodies_monet/aircraft/develop_sumvars/output',\n",
+       "  'debug': True},\n",
+       " 'model': {'wrfchem_v4.2': {'files': '/wrk/users/charkins/melodies-monet_data/wrfchem/run_CONUS_fv19_BEIS_1.0xISO_RACM_v4.2.2_racm_berk_vcp_noI_phot_soa/0905/*',\n",
+       "   'mod_type': 'wrfchem',\n",
+       "   'mod_kwargs': {'mech': 'racm_esrl_vcp'},\n",
+       "   'radius_of_influence': 12000,\n",
+       "   'mapping': {'firexaq': {'oa_tot': 'OA_PM1_AMS_JIMENEZ',\n",
+       "     'SO4A': 'Sulfate_PM1_AMS_JIMENEZ',\n",
+       "     'NH4A': 'Ammonium_PM1_AMS_JIMENEZ',\n",
+       "     'NO3A': 'Nitrate_PM1_AMS_JIMENEZ',\n",
+       "     'EC': 'BC_mass_90_550_nm_SCHWARZ'}},\n",
+       "   'variables': {'pres_pa_mid': {'rename': 'pressure_model',\n",
+       "     'unit_scale': 1,\n",
+       "     'unit_scale_method': '*'},\n",
+       "    'temperature_k': {'rename': 'temp_model',\n",
+       "     'unit_scale': 1,\n",
+       "     'unit_scale_method': '*'}},\n",
+       "   'variable_summing': {'oa_tot': {'vars': ['orgpai',\n",
+       "      'orgpaj',\n",
+       "      'asoa1i',\n",
+       "      'asoa1j',\n",
+       "      'asoa2i',\n",
+       "      'asoa2j',\n",
+       "      'asoa3i',\n",
+       "      'asoa3j',\n",
+       "      'asoa4i',\n",
+       "      'asoa4j',\n",
+       "      'bsoa1i',\n",
+       "      'bsoa1j',\n",
+       "      'bsoa2i',\n",
+       "      'bsoa2j',\n",
+       "      'bsoa3i',\n",
+       "      'bsoa3j',\n",
+       "      'bsoa4i',\n",
+       "      'bsoa4j'],\n",
+       "     'ylabel_plot': 'Organic Aerosol Total'},\n",
+       "    'SO4A': {'vars': ['so4aj', 'so4ai'], 'ylabel_plot': 'SO4A'},\n",
+       "    'NH4A': {'vars': ['nh4aj', 'nh4ai'], 'ylabel_plot': 'NH4A'},\n",
+       "    'NO3A': {'vars': ['no3aj', 'no3ai'], 'ylabel_plot': 'NO3A'},\n",
+       "    'EC': {'vars': ['ecj', 'eci'], 'ylabel_plot': 'EC'}},\n",
+       "   'projection': 'None',\n",
+       "   'plot_kwargs': {'color': 'dodgerblue', 'marker': '^', 'linestyle': ':'}}},\n",
+       " 'obs': {'firexaq': {'filename': '/wrk/d2/rschwantes/obs/firex-aq/R1/10s_merge/firexaq-mrg10-dc8_merge_20190905_R1.ict',\n",
+       "   'obs_type': 'aircraft',\n",
+       "   'resample': '600S',\n",
+       "   'variables': {'OA_PM1_AMS_JIMENEZ': {'unit_scale': 1,\n",
+       "     'unit_scale_method': '*',\n",
+       "     'nan_value': -777777,\n",
+       "     'LLOD_value': -888888,\n",
+       "     'LLOD_setvalue': 0.0,\n",
+       "     'ylabel_plot': 'OA_PM1_AMS_JIMENEZ'},\n",
+       "    'Sulfate_PM1_AMS_JIMENEZ': {'unit_scale': 1,\n",
+       "     'unit_scale_method': '*',\n",
+       "     'nan_value': -777777,\n",
+       "     'LLOD_value': -888888,\n",
+       "     'LLOD_setvalue': 0.0,\n",
+       "     'ylabel_plot': 'Sulfate_PM1_AMS_JIMENEZ'},\n",
+       "    'Ammonium_PM1_AMS_JIMENEZ': {'unit_scale': 1,\n",
+       "     'unit_scale_method': '*',\n",
+       "     'nan_value': -777777,\n",
+       "     'LLOD_value': -888888,\n",
+       "     'LLOD_setvalue': 0.0,\n",
+       "     'ylabel_plot': 'Ammonium_PM1_AMS_JIMENEZ'},\n",
+       "    'Nitrate_PM1_AMS_JIMENEZ': {'unit_scale': 1,\n",
+       "     'unit_scale_method': '*',\n",
+       "     'nan_value': -777777,\n",
+       "     'LLOD_value': -888888,\n",
+       "     'LLOD_setvalue': 0.0,\n",
+       "     'ylabel_plot': 'Nitrate_PM1_AMS_JIMENEZ'},\n",
+       "    'BC_mass_90_550_nm_SCHWARZ': {'unit_scale': 1,\n",
+       "     'unit_scale_method': '*',\n",
+       "     'nan_value': -777777,\n",
+       "     'LLOD_value': -888888,\n",
+       "     'LLOD_setvalue': 0.0,\n",
+       "     'ylabel_plot': 'BC_mass_90_550_nm_SCHWARZ'},\n",
+       "    'Latitude_YANG': {'rename': 'latitude',\n",
+       "     'unit_scale': 1,\n",
+       "     'unit_scale_method': '*'},\n",
+       "    'Longitude_YANG': {'rename': 'longitude',\n",
+       "     'unit_scale': 1,\n",
+       "     'unit_scale_method': '*'},\n",
+       "    'P_BUI': {'rename': 'pressure_obs',\n",
+       "     'unit_scale': 100,\n",
+       "     'unit_scale_method': '*'},\n",
+       "    'T_BUI': {'rename': 'temp_obs', 'unit_scale': 1, 'unit_scale_method': '*'},\n",
+       "    'MSL_GPS_Altitude_YANG': {'rename': 'altitude',\n",
+       "     'unit_scale': 1,\n",
+       "     'unit_scale_method': '*'}}}},\n",
+       " 'plots': {'plot_grp1': {'type': 'timeseries',\n",
+       "   'fig_kwargs': {'figsize': [12, 6]},\n",
+       "   'default_plot_kwargs': {'linewidth': 2.0, 'markersize': 10.0},\n",
+       "   'text_kwargs': {'fontsize': 18.0},\n",
+       "   'domain_type': ['all'],\n",
+       "   'domain_name': ['CONUS'],\n",
+       "   'data': ['firexaq_wrfchem_v4.2'],\n",
+       "   'data_proc': {'rem_obs_nan': True,\n",
+       "    'ts_select_time': 'time',\n",
+       "    'ts_avg_window': None,\n",
+       "    'set_axis': False,\n",
+       "    'altitude_yax2': {'altitude_variable': 'altitude',\n",
+       "     'altitude_ticks': 1000,\n",
+       "     'ylabel2': 'Altitude (m)',\n",
+       "     'plot_kwargs_y2': {'color': 'g'},\n",
+       "     'altitude_unit': 'm',\n",
+       "     'altitude_scaling_factor': 1}}},\n",
+       "  'plot_grp2': {'type': 'vertprofile',\n",
+       "   'fig_kwargs': {'figsize': [10, 14]},\n",
+       "   'default_plot_kwargs': {'linewidth': 4.0, 'markersize': 10.0},\n",
+       "   'text_kwargs': {'fontsize': 18.0},\n",
+       "   'domain_type': ['all'],\n",
+       "   'domain_name': ['CONUS'],\n",
+       "   'data': ['firexaq_wrfchem_v4.2'],\n",
+       "   'data_proc': {'rem_obs_nan': True,\n",
+       "    'set_axis': False,\n",
+       "    'interquartile_style': 'shading'},\n",
+       "   'altitude_variable': 'altitude',\n",
+       "   'vertprofile_bins': [0,\n",
+       "    1000,\n",
+       "    2000,\n",
+       "    3000,\n",
+       "    4000,\n",
+       "    5000,\n",
+       "    6000,\n",
+       "    7000,\n",
+       "    8000,\n",
+       "    9000,\n",
+       "    10000,\n",
+       "    11000,\n",
+       "    12000],\n",
+       "   'vmin': None,\n",
+       "   'vmax': None},\n",
+       "  'plot_grp3': {'type': 'violin',\n",
+       "   'fig_kwargs': {'figsize': [10, 8]},\n",
+       "   'text_kwargs': {'fontsize': 25.0},\n",
+       "   'domain_type': ['all'],\n",
+       "   'domain_name': ['CONUS'],\n",
+       "   'data': ['firexaq_wrfchem_v4.2'],\n",
+       "   'data_proc': {'rem_obs_nan': True, 'set_axis': False}},\n",
+       "  'plot_grp4': {'type': 'scatter_density',\n",
+       "   'fig_kwargs': {'figsize': [10, 10]},\n",
+       "   'default_plot_kwargs': {'linewidth': 4.0, 'markersize': 10.0},\n",
+       "   'text_kwargs': {'fontsize': 18.0},\n",
+       "   'domain_type': ['all'],\n",
+       "   'domain_name': ['CONUS'],\n",
+       "   'data': ['firexaq_wrfchem_v4.2'],\n",
+       "   'data_proc': {'rem_obs_nan': True,\n",
+       "    'set_axis': False,\n",
+       "    'vmin_x': None,\n",
+       "    'vmax_x': None,\n",
+       "    'vmin_y': None,\n",
+       "    'vmax_y': None},\n",
+       "   'color_map': {'colors': ['royalblue', 'cyan', 'yellow', 'orange'],\n",
+       "    'over': 'red',\n",
+       "    'under': 'blue'},\n",
+       "   'xlabel': 'Model',\n",
+       "   'ylabel': 'Observation',\n",
+       "   'title': 'Scatter Density Plot',\n",
+       "   'fill': True,\n",
+       "   'shade_lowest': True,\n",
+       "   'vcenter': None,\n",
+       "   'extensions': ['min', 'max']},\n",
+       "  'plot_grp5': {'type': 'taylor',\n",
+       "   'fig_kwargs': {'figsize': [8, 8]},\n",
+       "   'default_plot_kwargs': {'linewidth': 2.0, 'markersize': 10.0},\n",
+       "   'text_kwargs': {'fontsize': 16.0},\n",
+       "   'domain_type': ['all'],\n",
+       "   'domain_name': ['CONUS'],\n",
+       "   'data': ['firexaq_wrfchem_v4.2'],\n",
+       "   'data_proc': {'rem_obs_nan': True, 'set_axis': True}},\n",
+       "  'plot_grp6': {'type': 'boxplot',\n",
+       "   'fig_kwargs': {'figsize': [8, 6]},\n",
+       "   'text_kwargs': {'fontsize': 20.0},\n",
+       "   'domain_type': ['all'],\n",
+       "   'domain_name': ['CONUS'],\n",
+       "   'data': ['firexaq_wrfchem_v4.2'],\n",
+       "   'data_proc': {'rem_obs_nan': True, 'set_axis': False}}},\n",
+       " 'stats': {'stat_list': ['MB', 'MdnB', 'R2', 'RMSE'],\n",
+       "  'round_output': 2,\n",
+       "  'output_table': False,\n",
+       "  'output_table_kwargs': {'figsize': [7, 3],\n",
+       "   'fontsize': 12.0,\n",
+       "   'xscale': 1.4,\n",
+       "   'yscale': 1.4,\n",
+       "   'edges': 'horizontal'},\n",
+       "  'domain_type': ['all'],\n",
+       "  'domain_name': ['CONUS'],\n",
+       "  'data': ['firexaq_wrfchem_v4.2']}}"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "control_fn='control_wrfchem_aircraft_sumpmspecies.yaml'\n",
+    "an = driver.analysis()\n",
+    "an.control=control_fn\n",
+    "an.read_control() \n",
+    "an.control_dict  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fb53cf65-f164-4f94-82b1-00883f5a1c55",
+   "metadata": {},
+   "source": [
+    "### Loading the model data\n",
+    "\n",
+    "driver will automatically loop through the \"models\" found in the model section of the yaml file and create an instance of the driver.model class for each that includes the label, mapping information, and xarray object as well as the filenames. Note it can open multiple files easily by including hot keys "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "45f05883-652e-48d6-8ec5-300e2b49d04d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "NOTE: model.wrfchem_v4.2.projection is 'None' (str), but we assume you want `None` (Python null sentinel). To avoid this warning, update your control file to remove the projection setting or set to `~` or `null` if you want null value in YAML.\n",
+      "wrfchem\n",
+      "/wrk/users/charkins/melodies-monet_data/wrfchem/run_CONUS_fv19_BEIS_1.0xISO_RACM_v4.2.2_racm_berk_vcp_noI_phot_soa/0905/*\n",
+      "**** Reading WRF-Chem model output...\n"
+     ]
+    }
+   ],
+   "source": [
+    "an.open_models()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "8882b7d8-27ac-4be7-a2b9-49f5ba460954",
+   "metadata": {},
+   "outputs": [
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+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:         (y: 284, x: 440, time: 31, z: 50)\n",
+       "Coordinates:\n",
+       "    longitude       (y, x) float32 -122.3 -122.2 -122.1 ... -60.68 -60.52 -60.37\n",
+       "    latitude        (y, x) float32 21.19 21.22 21.24 21.27 ... 50.28 50.24 50.2\n",
+       "  * time            (time) datetime64[ns] 2019-09-05 ... 2019-09-06T06:00:00\n",
+       "Dimensions without coordinates: y, x, z\n",
+       "Data variables: (12/36)\n",
+       "    nh4ai           (time, z, y, x) float32 0.01599 0.016 ... 9.37e-05 9.374e-05\n",
+       "    so4ai           (time, z, y, x) float32 0.05252 0.05254 ... 0.0002829\n",
+       "    bsoa4j          (time, z, y, x) float32 1.181e-16 1.182e-16 ... 1.402e-15\n",
+       "    asoa4j          (time, z, y, x) float32 6.167e-10 6.163e-10 ... 4.61e-16\n",
+       "    orgpai          (time, z, y, x) float32 0.0005077 0.0005082 ... 1.042e-14\n",
+       "    nh4aj           (time, z, y, x) float32 0.2267 0.2267 ... 9.586e-05\n",
+       "    ...              ...\n",
+       "    surfpres_pa     (time, y, x) float32 1.008e+05 1.008e+05 ... 1.007e+05\n",
+       "    oa_tot          (time, z, y, x) float32 0.01354 0.01355 ... 4.639e-08\n",
+       "    SO4A            (time, z, y, x) float32 0.7969 0.7971 ... 0.01461 0.01461\n",
+       "    NH4A            (time, z, y, x) float32 0.2426 0.2427 ... 0.0001896\n",
+       "    NO3A            (time, z, y, x) float32 2.362e-16 2.363e-16 ... 0.0001896\n",
+       "    EC              (time, z, y, x) float32 0.01193 0.01193 ... 1.013e-12\n",
+       "Attributes: (12/15)\n",
+       "    FieldType:                 104\n",
+       "    MemoryOrder:               XYZ\n",
+       "    description:               Ammonium  conc. Aitken mode\n",
+       "    units:                     ug/kg-dryair\n",
+       "    stagger:                   \n",
+       "    coordinates:               XLONG XLAT XTIME\n",
+       "    ...                        ...\n",
+       "    MOAD_CEN_LAT:              39.617638\n",
+       "    STAND_LON:                 -97.0\n",
+       "    MAP_PROJ:                  1\n",
+       "    CEN_LAT:                   39.617638\n",
+       "    CEN_LON:                   -97.77487\n",
+       "    mapping_tables_to_airnow:  {&#x27;OZONE&#x27;: &#x27;o3&#x27;, &#x27;PM2.5&#x27;: &#x27;PM2_5_DRY&#x27;, &#x27;PM10&#x27;: ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fb877ad6-71e6-4548-9658-b9cc0369a189' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fb877ad6-71e6-4548-9658-b9cc0369a189' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 284</li><li><span>x</span>: 440</li><li><span class='xr-has-index'>time</span>: 31</li><li><span>z</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-01437973-04c9-4eb3-a896-ddd1b9604791' class='xr-section-summary-in' type='checkbox'  checked><label for='section-01437973-04c9-4eb3-a896-ddd1b9604791' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-122.3 -122.2 ... -60.52 -60.37</div><input id='attrs-1d8ca1e9-1dd1-4a55-bd10-15d5796ec9aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d8ca1e9-1dd1-4a55-bd10-15d5796ec9aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6ed392c-413e-40ed-8823-a2c6b2d1c2e8' class='xr-var-data-in' type='checkbox'><label for='data-d6ed392c-413e-40ed-8823-a2c6b2d1c2e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>TRUELAT1 :</span></dt><dd>33.0</dd><dt><span>TRUELAT2 :</span></dt><dd>45.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>STAND_LON :</span></dt><dd>-97.0</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>CEN_LON :</span></dt><dd>-97.77487</dd></dl></div><div class='xr-var-data'><pre>array([[-122.282745, -122.17581 , -122.0688  , ...,  -73.00513 ,\n",
+       "         -72.8974  ,  -72.789795],\n",
+       "       [-122.31329 , -122.20625 , -122.09914 , ...,  -72.97595 ,\n",
+       "         -72.86813 ,  -72.760376],\n",
+       "       [-122.34393 , -122.236786, -122.12955 , ...,  -72.94672 ,\n",
+       "         -72.838776,  -72.730896],\n",
+       "       ...,\n",
+       "       [-135.0139  , -134.86354 , -134.71295 , ...,  -60.804962,\n",
+       "         -60.65219 ,  -60.499634],\n",
+       "       [-135.08081 , -134.93024 , -134.77945 , ...,  -60.74051 ,\n",
+       "         -60.587524,  -60.434753],\n",
+       "       [-135.14793 , -134.99716 , -134.84618 , ...,  -60.675873,\n",
+       "         -60.522675,  -60.36969 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>21.19 21.22 21.24 ... 50.24 50.2</div><input id='attrs-4b63a8bd-56d1-4a57-9417-ec04228fcff3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b63a8bd-56d1-4a57-9417-ec04228fcff3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a56d967-3e28-44cb-a02b-4df32b6f6f13' class='xr-var-data-in' type='checkbox'><label for='data-0a56d967-3e28-44cb-a02b-4df32b6f6f13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>TRUELAT1 :</span></dt><dd>33.0</dd><dt><span>TRUELAT2 :</span></dt><dd>45.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>STAND_LON :</span></dt><dd>-97.0</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>CEN_LON :</span></dt><dd>-97.77487</dd></dl></div><div class='xr-var-data'><pre>array([[21.18737 , 21.215775, 21.244072, ..., 21.520782, 21.493614,\n",
+       "        21.466347],\n",
+       "       [21.287056, 21.315514, 21.343864, ..., 21.621033, 21.593834,\n",
+       "        21.566513],\n",
+       "       [21.386795, 21.41529 , 21.443687, ..., 21.721321, 21.694077,\n",
+       "        21.66671 ],\n",
+       "       ...,\n",
+       "       [49.581253, 49.624477, 49.667526, ..., 50.08878 , 50.047417,\n",
+       "        50.005882],\n",
+       "       [49.678635, 49.721916, 49.76504 , ..., 50.18683 , 50.145416,\n",
+       "        50.103832],\n",
+       "       [49.775967, 49.819294, 49.862473, ..., 50.28482 , 50.24335 ,\n",
+       "        50.20171 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-09-05 ... 2019-09-06T06:00:00</div><input id='attrs-9a33ab0a-1be0-465d-9dfd-4b3644afc316' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a33ab0a-1be0-465d-9dfd-4b3644afc316' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86abbce3-7924-415b-9a84-650f21866215' class='xr-var-data-in' type='checkbox'><label for='data-86abbce3-7924-415b-9a84-650f21866215' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>TRUELAT1 :</span></dt><dd>33.0</dd><dt><span>TRUELAT2 :</span></dt><dd>45.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>STAND_LON :</span></dt><dd>-97.0</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>CEN_LON :</span></dt><dd>-97.77487</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-09-05T00:00:00.000000000&#x27;, &#x27;2019-09-05T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T02:00:00.000000000&#x27;, &#x27;2019-09-05T03:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T04:00:00.000000000&#x27;, &#x27;2019-09-05T05:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T06:00:00.000000000&#x27;, &#x27;2019-09-05T07:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T08:00:00.000000000&#x27;, &#x27;2019-09-05T09:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T10:00:00.000000000&#x27;, &#x27;2019-09-05T11:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T12:00:00.000000000&#x27;, &#x27;2019-09-05T13:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T14:00:00.000000000&#x27;, &#x27;2019-09-05T15:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T16:00:00.000000000&#x27;, &#x27;2019-09-05T17:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T18:00:00.000000000&#x27;, &#x27;2019-09-05T19:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T20:00:00.000000000&#x27;, &#x27;2019-09-05T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T22:00:00.000000000&#x27;, &#x27;2019-09-05T23:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-06T00:00:00.000000000&#x27;, &#x27;2019-09-06T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-06T02:00:00.000000000&#x27;, &#x27;2019-09-06T03:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-06T04:00:00.000000000&#x27;, &#x27;2019-09-06T05:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-06T06:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-359669f7-cfd6-4765-8786-45adaa2cb393' class='xr-section-summary-in' type='checkbox'  ><label for='section-359669f7-cfd6-4765-8786-45adaa2cb393' class='xr-section-summary' >Data variables: <span>(36)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>nh4ai</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01599 0.016 ... 9.374e-05</div><input id='attrs-68b1e138-89db-4370-aee8-d07ed0caf037' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68b1e138-89db-4370-aee8-d07ed0caf037' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26e5acd3-b9ce-4276-a366-54daa36875c4' class='xr-var-data-in' type='checkbox'><label for='data-26e5acd3-b9ce-4276-a366-54daa36875c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.59935523e-02, 1.59977470e-02, 1.74840316e-02, ...,\n",
+       "          2.41441030e-05, 6.09729286e-05, 4.88047372e-05],\n",
+       "         [1.59983449e-02, 1.59974229e-02, 1.74858868e-02, ...,\n",
+       "          1.42319768e-05, 5.81992063e-05, 7.45962243e-05],\n",
+       "         [1.58023685e-02, 1.57986227e-02, 1.78322028e-02, ...,\n",
+       "          6.59883426e-06, 4.29360007e-05, 7.45992147e-05],\n",
+       "         ...,\n",
+       "         [4.68807448e-05, 4.69427141e-05, 4.62347052e-05, ...,\n",
+       "          1.28488564e-05, 1.53656129e-05, 6.84840561e-05],\n",
+       "         [4.69887018e-05, 4.71158855e-05, 4.62152348e-05, ...,\n",
+       "          1.40702405e-05, 1.57189661e-05, 6.87225329e-05],\n",
+       "         [4.69215120e-05, 4.69716979e-05, 4.61624186e-05, ...,\n",
+       "          1.48276313e-05, 1.60852724e-05, 1.61112439e-05]],\n",
+       "\n",
+       "        [[1.59735531e-02, 1.59783326e-02, 1.74624007e-02, ...,\n",
+       "          2.13098319e-05, 5.87698705e-05, 4.84136326e-05],\n",
+       "         [1.59788858e-02, 1.59797817e-02, 1.74698979e-02, ...,\n",
+       "          1.49440939e-05, 5.74959777e-05, 7.60271578e-05],\n",
+       "         [1.57835819e-02, 1.57819279e-02, 1.78143810e-02, ...,\n",
+       "          6.80350195e-06, 4.23181191e-05, 7.60421681e-05],\n",
+       "...\n",
+       "          9.50563044e-05, 9.45897555e-05, 9.45583815e-05],\n",
+       "         [9.99811527e-05, 9.99288168e-05, 9.97971147e-05, ...,\n",
+       "          9.13997355e-05, 9.17485304e-05, 9.17258003e-05],\n",
+       "         [9.98852120e-05, 9.98717587e-05, 9.97781099e-05, ...,\n",
+       "          9.12865289e-05, 9.16279969e-05, 9.16662393e-05]],\n",
+       "\n",
+       "        [[9.99803669e-05, 9.99803669e-05, 9.99803597e-05, ...,\n",
+       "          9.99476033e-05, 9.99760450e-05, 9.99672338e-05],\n",
+       "         [1.00038218e-04, 1.00016558e-04, 1.00022698e-04, ...,\n",
+       "          9.99189288e-05, 9.99363765e-05, 9.99809854e-05],\n",
+       "         [1.00050835e-04, 1.00023950e-04, 1.00017256e-04, ...,\n",
+       "          9.98631949e-05, 9.99115655e-05, 9.99810145e-05],\n",
+       "         ...,\n",
+       "         [9.99811964e-05, 9.99457552e-05, 9.99812037e-05, ...,\n",
+       "          9.43289924e-05, 9.40979298e-05, 9.41011240e-05],\n",
+       "         [9.99811818e-05, 9.99839685e-05, 9.99462791e-05, ...,\n",
+       "          9.33853007e-05, 9.37842051e-05, 9.37718287e-05],\n",
+       "         [9.99473486e-05, 9.99344775e-05, 9.99191034e-05, ...,\n",
+       "          9.33073316e-05, 9.37023869e-05, 9.37356745e-05]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>so4ai</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.05252 0.05254 ... 0.0002829</div><input id='attrs-cd7f5ac0-a08b-4065-8fdc-6aeff4bd1117' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd7f5ac0-a08b-4065-8fdc-6aeff4bd1117' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2de3134b-f60e-45ce-9fd5-83df8a4b0106' class='xr-var-data-in' type='checkbox'><label for='data-2de3134b-f60e-45ce-9fd5-83df8a4b0106' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[5.25225662e-02, 5.25355078e-02, 5.99281490e-02, ...,\n",
+       "          9.65458574e-04, 3.63283372e-03, 3.08378297e-03],\n",
+       "         [5.25377877e-02, 5.25333360e-02, 5.99295236e-02, ...,\n",
+       "          8.13267659e-04, 3.63977347e-03, 3.81569657e-03],\n",
+       "         [5.20005897e-02, 5.19856438e-02, 6.14752211e-02, ...,\n",
+       "          3.94816539e-04, 2.72673764e-03, 3.81581462e-03],\n",
+       "         ...,\n",
+       "         [3.09140254e-02, 3.09540331e-02, 3.44571061e-02, ...,\n",
+       "          2.35060486e-03, 3.08855344e-03, 3.52486456e-03],\n",
+       "         [3.07232812e-02, 3.07622850e-02, 3.19669694e-02, ...,\n",
+       "          2.58265832e-03, 3.12473183e-03, 3.52691649e-03],\n",
+       "         [3.07055339e-02, 3.07392012e-02, 3.19811627e-02, ...,\n",
+       "          1.67752787e-01, 3.08456391e-01, 3.09415013e-01]],\n",
+       "\n",
+       "        [[5.24639301e-02, 5.24787866e-02, 5.98640889e-02, ...,\n",
+       "          1.01339980e-03, 3.60467657e-03, 3.05887708e-03],\n",
+       "         [5.24806827e-02, 5.24844453e-02, 5.98833710e-02, ...,\n",
+       "          8.61676643e-04, 3.61682032e-03, 3.81532870e-03],\n",
+       "         [5.19452095e-02, 5.19392267e-02, 6.14237003e-02, ...,\n",
+       "          4.07025713e-04, 2.68857274e-03, 3.81546025e-03],\n",
+       "...\n",
+       "          3.26206937e-04, 3.25260480e-04, 3.25152650e-04],\n",
+       "         [3.60499514e-04, 3.60458478e-04, 3.60420032e-04, ...,\n",
+       "          3.13499739e-04, 3.14440316e-04, 3.14362376e-04],\n",
+       "         [3.60301201e-04, 3.60252685e-04, 3.60351463e-04, ...,\n",
+       "          3.13111406e-04, 3.14027187e-04, 3.14158329e-04]],\n",
+       "\n",
+       "        [[3.10719828e-04, 3.10694624e-04, 3.10690288e-04, ...,\n",
+       "          3.13148397e-04, 3.13170312e-04, 3.13142780e-04],\n",
+       "         [3.10746167e-04, 3.10678908e-04, 3.10670817e-04, ...,\n",
+       "          3.13058525e-04, 3.13046068e-04, 3.13121534e-04],\n",
+       "         [3.10715142e-04, 3.10631673e-04, 3.10613686e-04, ...,\n",
+       "          3.12980730e-04, 3.12975113e-04, 3.13069613e-04],\n",
+       "         ...,\n",
+       "         [2.96521641e-04, 2.96469778e-04, 2.96454353e-04, ...,\n",
+       "          2.84808630e-04, 2.84317299e-04, 2.84326932e-04],\n",
+       "         [2.96555256e-04, 2.96474347e-04, 2.96403276e-04, ...,\n",
+       "          2.82946537e-04, 2.83057976e-04, 2.83020665e-04],\n",
+       "         [2.96365761e-04, 2.96327577e-04, 2.96322687e-04, ...,\n",
+       "          2.82710331e-04, 2.82811088e-04, 2.82911526e-04]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bsoa4j</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.181e-16 1.182e-16 ... 1.402e-15</div><input id='attrs-8ec01a5f-b50e-46a6-b543-88d1862c674b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ec01a5f-b50e-46a6-b543-88d1862c674b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c4085d2-a57e-4f8d-9c0b-32942340a382' class='xr-var-data-in' type='checkbox'><label for='data-5c4085d2-a57e-4f8d-9c0b-32942340a382' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.18121431e-16, 1.18156702e-16, 1.18178513e-16, ...,\n",
+       "          4.81047091e-10, 4.25347535e-11, 2.81543655e-14],\n",
+       "         [1.18155127e-16, 1.18178288e-16, 1.18186282e-16, ...,\n",
+       "          1.15763757e-12, 3.74054933e-14, 1.64370799e-15],\n",
+       "         [1.18177269e-16, 1.18173206e-16, 1.18185276e-16, ...,\n",
+       "          3.82266435e-15, 1.06786994e-14, 1.83348413e-15],\n",
+       "         ...,\n",
+       "         [5.51225399e-10, 5.55976043e-10, 6.97762459e-10, ...,\n",
+       "          1.05062770e-06, 6.31150556e-07, 1.98135885e-09],\n",
+       "         [6.35624720e-10, 6.39935327e-10, 7.22283067e-10, ...,\n",
+       "          6.37635992e-07, 4.10349116e-07, 2.16425877e-09],\n",
+       "         [6.36406650e-10, 6.36915687e-10, 7.19594162e-10, ...,\n",
+       "          5.45561477e-07, 2.96293990e-07, 3.88206104e-07]],\n",
+       "\n",
+       "        [[1.17931100e-16, 1.17964095e-16, 1.17980850e-16, ...,\n",
+       "          2.25164595e-10, 1.88460168e-11, 1.80198924e-14],\n",
+       "         [1.17967231e-16, 1.17992510e-16, 1.18003998e-16, ...,\n",
+       "          1.09088541e-12, 2.24971815e-14, 2.00832316e-15],\n",
+       "         [1.17991795e-16, 1.17982915e-16, 1.17995435e-16, ...,\n",
+       "          4.32033602e-15, 9.49236790e-15, 1.97244899e-15],\n",
+       "...\n",
+       "          1.55431171e-15, 1.55090007e-15, 1.54354560e-15],\n",
+       "         [2.50855075e-15, 2.51825098e-15, 2.52007993e-15, ...,\n",
+       "          1.58059397e-15, 1.55482024e-15, 1.54874564e-15],\n",
+       "         [2.49803399e-15, 2.49231398e-15, 2.51038945e-15, ...,\n",
+       "          1.54910002e-15, 1.52073415e-15, 1.53162393e-15]],\n",
+       "\n",
+       "        [[1.93761984e-15, 1.92903686e-15, 1.91021684e-15, ...,\n",
+       "          4.02173912e-15, 4.02050075e-15, 4.01425516e-15],\n",
+       "         [1.90423107e-15, 1.89465071e-15, 1.86750436e-15, ...,\n",
+       "          4.00495727e-15, 3.99622267e-15, 4.00536216e-15],\n",
+       "         [1.88395798e-15, 1.87231784e-15, 1.85834963e-15, ...,\n",
+       "          4.00735692e-15, 3.99562721e-15, 4.00335215e-15],\n",
+       "         ...,\n",
+       "         [2.21496363e-15, 2.25598183e-15, 2.25854093e-15, ...,\n",
+       "          1.38762483e-15, 1.43868536e-15, 1.43798941e-15],\n",
+       "         [2.21753014e-15, 2.25744466e-15, 2.24892563e-15, ...,\n",
+       "          1.38015083e-15, 1.41666313e-15, 1.41165145e-15],\n",
+       "         [2.24227578e-15, 2.23744960e-15, 2.23672369e-15, ...,\n",
+       "          1.35790266e-15, 1.39335300e-15, 1.40208263e-15]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>asoa4j</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.167e-10 6.163e-10 ... 4.61e-16</div><input id='attrs-7c13467d-0e90-4a7a-ac36-01b847c5dd9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c13467d-0e90-4a7a-ac36-01b847c5dd9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08b9b201-e393-4a0f-9c0f-63613cd251b8' class='xr-var-data-in' type='checkbox'><label for='data-08b9b201-e393-4a0f-9c0f-63613cd251b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[6.16723894e-10, 6.16293572e-10, 6.76145862e-10, ...,\n",
+       "          4.63644980e-08, 3.63938994e-08, 3.27256906e-08],\n",
+       "         [6.18747165e-10, 6.19161722e-10, 6.76170064e-10, ...,\n",
+       "          3.45972566e-08, 4.02617282e-08, 1.89403870e-09],\n",
+       "         [6.19707119e-10, 6.16512674e-10, 6.57035648e-10, ...,\n",
+       "          3.59100727e-09, 1.08517728e-08, 1.85850257e-09],\n",
+       "         ...,\n",
+       "         [1.75383479e-06, 1.76309163e-06, 1.81821054e-06, ...,\n",
+       "          1.32106118e-06, 8.71104248e-07, 2.95814995e-09],\n",
+       "         [1.78410403e-06, 1.77620188e-06, 1.80991060e-06, ...,\n",
+       "          7.85815985e-07, 5.63915535e-07, 3.01461656e-09],\n",
+       "         [1.79623578e-06, 1.78769471e-06, 1.82137444e-06, ...,\n",
+       "          6.78334345e-07, 4.03206315e-07, 5.33823425e-07]],\n",
+       "\n",
+       "        [[6.44054365e-10, 6.44844456e-10, 7.11910975e-10, ...,\n",
+       "          4.50678819e-08, 3.36991306e-08, 3.21814078e-08],\n",
+       "         [6.46152132e-10, 6.51445509e-10, 7.12801207e-10, ...,\n",
+       "          3.68042805e-08, 3.61612003e-08, 2.15791540e-09],\n",
+       "         [6.46733334e-10, 6.49413467e-10, 6.92733537e-10, ...,\n",
+       "          4.09815115e-09, 9.71987379e-09, 2.12030105e-09],\n",
+       "...\n",
+       "          4.87489749e-16, 4.87125895e-16, 4.84683158e-16],\n",
+       "         [8.49918736e-16, 8.81436514e-16, 8.78715844e-16, ...,\n",
+       "          4.96213817e-16, 4.88196704e-16, 4.86179283e-16],\n",
+       "         [8.74297456e-16, 8.72278076e-16, 8.75295896e-16, ...,\n",
+       "          4.85768578e-16, 4.76873832e-16, 4.80491192e-16]],\n",
+       "\n",
+       "        [[8.17611893e-16, 8.14458654e-16, 8.09815749e-16, ...,\n",
+       "          1.46073606e-15, 1.46066004e-15, 1.45833811e-15],\n",
+       "         [8.10908898e-16, 8.06675057e-16, 7.99938815e-16, ...,\n",
+       "          1.45450147e-15, 1.45163712e-15, 1.45513717e-15],\n",
+       "         [8.07444904e-16, 8.02269797e-16, 7.98429350e-16, ...,\n",
+       "          1.45368747e-15, 1.45031501e-15, 1.45350674e-15],\n",
+       "         ...,\n",
+       "         [7.50319837e-16, 7.92711295e-16, 7.86474803e-16, ...,\n",
+       "          4.52631537e-16, 4.76687696e-16, 4.76440416e-16],\n",
+       "         [7.51529665e-16, 7.95335562e-16, 7.83516329e-16, ...,\n",
+       "          4.47209732e-16, 4.66127578e-16, 4.64365273e-16],\n",
+       "         [7.89945891e-16, 7.88231232e-16, 7.79185132e-16, ...,\n",
+       "          4.39478121e-16, 4.57939099e-16, 4.61004723e-16]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orgpai</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0005077 0.0005082 ... 1.042e-14</div><input id='attrs-0d2a28ce-9d80-4a1b-a5ee-e16ac4ba3a85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d2a28ce-9d80-4a1b-a5ee-e16ac4ba3a85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e3af026-0042-425d-93b3-dcec54d0384f' class='xr-var-data-in' type='checkbox'><label for='data-1e3af026-0042-425d-93b3-dcec54d0384f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[5.07701421e-04, 5.08178666e-04, 5.53371618e-04, ...,\n",
+       "          2.84812195e-05, 3.51304552e-05, 2.52839181e-05],\n",
+       "         [5.07852586e-04, 5.07837685e-04, 5.51590871e-04, ...,\n",
+       "          9.77676700e-06, 3.85554849e-05, 1.16730868e-16],\n",
+       "         [5.21755836e-04, 5.21652051e-04, 5.74971316e-04, ...,\n",
+       "          6.81125641e-07, 7.72738804e-06, 1.16743745e-16],\n",
+       "         ...,\n",
+       "         [1.82134390e-04, 1.85277604e-04, 2.84517417e-04, ...,\n",
+       "          8.54045094e-04, 5.41983638e-04, 1.22569175e-16],\n",
+       "         [2.82404653e-04, 3.02433531e-04, 3.16144753e-04, ...,\n",
+       "          3.25078581e-04, 3.06457106e-04, 1.22764508e-16],\n",
+       "         [2.70094984e-04, 2.73670652e-04, 2.99474836e-04, ...,\n",
+       "          2.91866629e-04, 2.49771198e-04, 2.92232784e-04]],\n",
+       "\n",
+       "        [[5.07076387e-04, 5.07500954e-04, 5.52202633e-04, ...,\n",
+       "          1.86120942e-05, 2.82891160e-05, 2.17326815e-05],\n",
+       "         [5.07244258e-04, 5.07287914e-04, 5.51133358e-04, ...,\n",
+       "          8.43631278e-06, 2.97986517e-05, 1.16506325e-16],\n",
+       "         [5.20938716e-04, 5.20758855e-04, 5.74239413e-04, ...,\n",
+       "          6.27470058e-07, 5.70674365e-06, 1.16517548e-16],\n",
+       "...\n",
+       "          3.11296625e-16, 2.80134998e-16, 2.80042089e-16],\n",
+       "         [9.99811618e-17, 9.99810493e-17, 1.16752361e-16, ...,\n",
+       "          1.44767169e-16, 1.36800572e-16, 1.36766651e-16],\n",
+       "         [9.99810229e-17, 9.99810361e-17, 1.16730127e-16, ...,\n",
+       "          1.44587876e-16, 1.36620816e-16, 1.36677845e-16]],\n",
+       "\n",
+       "        [[9.99803743e-17, 9.99803743e-17, 9.99803611e-17, ...,\n",
+       "          1.00354167e-16, 9.99809964e-17, 9.99810096e-17],\n",
+       "         [1.00008088e-16, 9.99864425e-17, 9.99803479e-17, ...,\n",
+       "          1.00325368e-16, 9.99808839e-17, 9.99809898e-17],\n",
+       "         [1.00013389e-16, 9.99865087e-17, 9.99875013e-17, ...,\n",
+       "          1.00320954e-16, 9.99807648e-17, 9.99809964e-17],\n",
+       "         ...,\n",
+       "         [9.99812015e-17, 9.99810692e-17, 1.01406103e-16, ...,\n",
+       "          3.45823774e-15, 1.66416529e-14, 1.66422204e-14],\n",
+       "         [9.99811751e-17, 9.99811883e-17, 1.08659577e-16, ...,\n",
+       "          2.38524796e-15, 1.04298521e-14, 1.04284757e-14],\n",
+       "         [9.99811751e-17, 9.99810493e-17, 1.08630037e-16, ...,\n",
+       "          2.38325658e-15, 1.04207533e-14, 1.04244540e-14]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nh4aj</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2267 0.2267 ... 9.586e-05</div><input id='attrs-1de58309-c482-4f6e-abc6-8e788d3f8f41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1de58309-c482-4f6e-abc6-8e788d3f8f41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-269bc490-dcdc-4181-97b3-b96c5cd44d9d' class='xr-var-data-in' type='checkbox'><label for='data-269bc490-dcdc-4181-97b3-b96c5cd44d9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.26651669e-01, 2.26697996e-01, 2.25284651e-01, ...,\n",
+       "          4.67564631e-03, 3.12494091e-03, 2.95535731e-03],\n",
+       "         [2.26716369e-01, 2.26661846e-01, 2.25267351e-01, ...,\n",
+       "          3.29404417e-03, 2.97534862e-03, 3.65701527e-03],\n",
+       "         [2.29980290e-01, 2.29881585e-01, 2.29946539e-01, ...,\n",
+       "          3.14981304e-03, 2.94260099e-03, 3.65716638e-03],\n",
+       "         ...,\n",
+       "         [4.13437316e-04, 4.13614674e-04, 3.59492697e-04, ...,\n",
+       "          1.03501498e-03, 9.58674704e-04, 3.83782294e-03],\n",
+       "         [3.85780877e-04, 3.86547355e-04, 3.68886627e-04, ...,\n",
+       "          1.03292719e-03, 9.64168285e-04, 3.85566265e-03],\n",
+       "         [3.85550928e-04, 3.85755324e-04, 3.68272129e-04, ...,\n",
+       "          1.02345180e-03, 9.56895121e-04, 9.63393250e-04]],\n",
+       "\n",
+       "        [[2.26486385e-01, 2.26548254e-01, 2.25170761e-01, ...,\n",
+       "          3.95025825e-03, 3.03886039e-03, 2.95816176e-03],\n",
+       "         [2.26558059e-01, 2.26564661e-01, 2.25233600e-01, ...,\n",
+       "          3.26731568e-03, 2.96213734e-03, 3.72587913e-03],\n",
+       "         [2.29816005e-01, 2.29788527e-01, 2.29885563e-01, ...,\n",
+       "          3.15303076e-03, 2.94490135e-03, 3.72660812e-03],\n",
+       "...\n",
+       "          1.05677886e-04, 1.05253544e-04, 1.05218634e-04],\n",
+       "         [9.99811527e-05, 9.99288168e-05, 9.97971147e-05, ...,\n",
+       "          1.08673128e-04, 1.07807842e-04, 1.07781132e-04],\n",
+       "         [9.98852120e-05, 9.98717587e-05, 9.97781099e-05, ...,\n",
+       "          1.08538537e-04, 1.07666216e-04, 1.07711145e-04]],\n",
+       "\n",
+       "        [[9.99803669e-05, 9.99803669e-05, 9.99803597e-05, ...,\n",
+       "          9.99476033e-05, 9.99760450e-05, 9.99672338e-05],\n",
+       "         [1.00038189e-04, 1.00016543e-04, 1.00022698e-04, ...,\n",
+       "          9.99189288e-05, 9.99363765e-05, 9.99809854e-05],\n",
+       "         [1.00050835e-04, 1.00023950e-04, 1.00017256e-04, ...,\n",
+       "          9.98632313e-05, 9.99115655e-05, 9.99810145e-05],\n",
+       "         ...,\n",
+       "         [9.99811964e-05, 9.99457552e-05, 9.99811164e-05, ...,\n",
+       "          9.55392024e-05, 9.49607274e-05, 9.49639580e-05],\n",
+       "         [9.99811818e-05, 9.99839685e-05, 9.99462427e-05, ...,\n",
+       "          9.57757729e-05, 9.59069584e-05, 9.58942910e-05],\n",
+       "         [9.99473486e-05, 9.99344775e-05, 9.99190670e-05, ...,\n",
+       "          9.56958174e-05, 9.58232849e-05, 9.58573291e-05]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>so4aj</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.7444 0.7445 ... 0.01432 0.01433</div><input id='attrs-c3f84cfe-6977-48a0-9f73-a25db91b33cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3f84cfe-6977-48a0-9f73-a25db91b33cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1b7b602-1881-4665-8bd7-f70ad47bf23e' class='xr-var-data-in' type='checkbox'><label for='data-b1b7b602-1881-4665-8bd7-f70ad47bf23e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.744378  , 0.7445184 , 0.77224624, ..., 0.1869689 ,\n",
+       "          0.18617879, 0.18672971],\n",
+       "         [0.74458313, 0.7443841 , 0.7721236 , ..., 0.18824084,\n",
+       "          0.18606944, 0.18702713],\n",
+       "         [0.75685096, 0.7564882 , 0.79278946, ..., 0.18847388,\n",
+       "          0.18686913, 0.18703476],\n",
+       "         ...,\n",
+       "         [0.2718915 , 0.27200434, 0.26687452, ..., 0.18802528,\n",
+       "          0.19164017, 0.19720854],\n",
+       "         [0.25094604, 0.2510145 , 0.2535428 , ..., 0.18897685,\n",
+       "          0.19118065, 0.19757473],\n",
+       "         [0.2510633 , 0.2511934 , 0.2535852 , ..., 0.23150332,\n",
+       "          0.23212557, 0.2334287 ]],\n",
+       "\n",
+       "        [[0.7439351 , 0.7441262 , 0.77198607, ..., 0.18786055,\n",
+       "          0.18638182, 0.18689534],\n",
+       "         [0.74415964, 0.74419296, 0.7721192 , ..., 0.18839982,\n",
+       "          0.1863269 , 0.1869488 ],\n",
+       "         [0.756404  , 0.75630593, 0.79270715, ..., 0.18864894,\n",
+       "          0.1870903 , 0.18695623],\n",
+       "...\n",
+       "         [0.01766273, 0.01766701, 0.01767321, ..., 0.01749475,\n",
+       "          0.01749045, 0.01748464],\n",
+       "         [0.0176646 , 0.01766553, 0.01766663, ..., 0.01748581,\n",
+       "          0.01747961, 0.01747528],\n",
+       "         [0.01765782, 0.01765545, 0.01766326, ..., 0.01746415,\n",
+       "          0.01745665, 0.01746393]],\n",
+       "\n",
+       "        [[0.01522538, 0.01522414, 0.01522393, ..., 0.01534651,\n",
+       "          0.01534648, 0.01534513],\n",
+       "         [0.01522886, 0.01522556, 0.01522491, ..., 0.0153421 ,\n",
+       "          0.01534039, 0.01534306],\n",
+       "         [0.01522974, 0.01522565, 0.01522433, ..., 0.01533825,\n",
+       "          0.01533692, 0.01534051],\n",
+       "         ...,\n",
+       "         [0.01452966, 0.01453065, 0.0145333 , ..., 0.01435104,\n",
+       "          0.0143379 , 0.01433839],\n",
+       "         [0.01453131, 0.01453112, 0.01453113, ..., 0.01434357,\n",
+       "          0.01433506, 0.01433317],\n",
+       "         [0.0145258 , 0.01452393, 0.01452717, ..., 0.0143316 ,\n",
+       "          0.01432255, 0.01432764]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eci</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0007997 0.0008006 ... 2.314e-15</div><input id='attrs-e76ed130-5289-4e09-bfa1-bdfbe17838cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e76ed130-5289-4e09-bfa1-bdfbe17838cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1348e322-6b00-408f-ae7d-9b2b8a7edd4c' class='xr-var-data-in' type='checkbox'><label for='data-1348e322-6b00-408f-ae7d-9b2b8a7edd4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[7.99672736e-04, 8.00571754e-04, 8.78357037e-04, ...,\n",
+       "          1.62123706e-05, 5.45413277e-05, 4.28723251e-05],\n",
+       "         [7.99911038e-04, 7.99895090e-04, 8.74780642e-04, ...,\n",
+       "          1.23414484e-05, 6.51495575e-05, 1.16730868e-16],\n",
+       "         [8.23869719e-04, 8.23715935e-04, 9.11804265e-04, ...,\n",
+       "          1.38582345e-06, 1.51011418e-05, 1.16743745e-16],\n",
+       "         ...,\n",
+       "         [3.64296749e-04, 3.70583584e-04, 5.69078256e-04, ...,\n",
+       "          1.70810916e-03, 1.08398485e-03, 1.22569175e-16],\n",
+       "         [5.64852380e-04, 6.04913221e-04, 6.32337760e-04, ...,\n",
+       "          6.49994530e-04, 6.12950942e-04, 1.22764508e-16],\n",
+       "         [5.40231238e-04, 5.47383155e-04, 5.98995655e-04, ...,\n",
+       "          5.83628134e-04, 4.99575748e-04, 5.84502879e-04]],\n",
+       "\n",
+       "        [[7.98685418e-04, 7.99471047e-04, 8.76281876e-04, ...,\n",
+       "          1.48355703e-05, 4.55665067e-05, 3.69105728e-05],\n",
+       "         [7.98949855e-04, 7.99023837e-04, 8.74057529e-04, ...,\n",
+       "          1.16923547e-05, 5.04982927e-05, 1.16506325e-16],\n",
+       "         [8.22492351e-04, 8.22155795e-04, 9.10561415e-04, ...,\n",
+       "          1.28001102e-06, 1.11970758e-05, 1.16517548e-16],\n",
+       "...\n",
+       "          1.38796976e-16, 1.40701622e-16, 1.40654943e-16],\n",
+       "         [9.99811618e-17, 9.99810493e-17, 1.16752454e-16, ...,\n",
+       "          1.08917651e-16, 1.08966434e-16, 1.08939429e-16],\n",
+       "         [9.99810229e-17, 9.99810361e-17, 1.16730233e-16, ...,\n",
+       "          1.08782727e-16, 1.08823273e-16, 1.08868695e-16]],\n",
+       "\n",
+       "        [[9.99803743e-17, 9.99803743e-17, 9.99803611e-17, ...,\n",
+       "          1.00357668e-16, 9.99809964e-17, 9.99810096e-17],\n",
+       "         [1.00008088e-16, 9.99864425e-17, 9.99803479e-17, ...,\n",
+       "          1.00328869e-16, 9.99808839e-17, 9.99809898e-17],\n",
+       "         [1.00013435e-16, 9.99865484e-17, 9.99876469e-17, ...,\n",
+       "          1.00328915e-16, 9.99807648e-17, 9.99809964e-17],\n",
+       "         ...,\n",
+       "         [9.99812015e-17, 9.99810692e-17, 1.01291019e-16, ...,\n",
+       "          8.26238871e-16, 3.64218026e-15, 3.64230351e-15],\n",
+       "         [9.99811751e-17, 9.99811883e-17, 1.07661262e-16, ...,\n",
+       "          5.72243018e-16, 2.31484173e-15, 2.31453616e-15],\n",
+       "         [9.99811751e-17, 9.99810493e-17, 1.07631980e-16, ...,\n",
+       "          5.71765292e-16, 2.31282219e-15, 2.31364360e-15]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>no3aj</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.181e-16 1.182e-16 ... 9.585e-05</div><input id='attrs-d5f633ef-5cbd-4cab-8d26-7a0230909683' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5f633ef-5cbd-4cab-8d26-7a0230909683' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8124c50f-4954-4db2-8570-cd1889dfd414' class='xr-var-data-in' type='checkbox'><label for='data-8124c50f-4954-4db2-8570-cd1889dfd414' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.18121431e-16, 1.18156702e-16, 1.18178513e-16, ...,\n",
+       "          3.20839777e-09, 3.82770526e-09, 3.83849796e-09],\n",
+       "         [1.18155127e-16, 1.18178288e-16, 1.18186282e-16, ...,\n",
+       "          3.21569149e-09, 3.64556318e-09, 4.78445150e-09],\n",
+       "         [1.18177269e-16, 1.18173206e-16, 1.18185276e-16, ...,\n",
+       "          3.12861870e-09, 3.40867246e-09, 4.45211468e-09],\n",
+       "         ...,\n",
+       "         [1.14070747e-06, 1.16318120e-06, 1.33090509e-06, ...,\n",
+       "          3.74417618e-06, 3.89309116e-06, 5.07249524e-06],\n",
+       "         [1.10670942e-06, 1.12333475e-06, 1.32308139e-06, ...,\n",
+       "          4.33066589e-06, 4.31071203e-06, 5.54031021e-06],\n",
+       "         [1.22645611e-06, 1.35736241e-06, 1.59745207e-06, ...,\n",
+       "          3.76505477e-06, 4.90046250e-06, 5.00424312e-06]],\n",
+       "\n",
+       "        [[1.17931100e-16, 1.17964095e-16, 1.17980850e-16, ...,\n",
+       "          3.78158438e-09, 4.02864586e-09, 4.03170519e-09],\n",
+       "         [1.17967231e-16, 1.17992510e-16, 1.18003998e-16, ...,\n",
+       "          3.43996054e-09, 3.86955756e-09, 5.03586595e-09],\n",
+       "         [1.17991795e-16, 1.17982915e-16, 1.17995435e-16, ...,\n",
+       "          3.35468409e-09, 3.61349439e-09, 4.68814010e-09],\n",
+       "...\n",
+       "          1.05677565e-04, 1.05260318e-04, 1.05225401e-04],\n",
+       "         [9.99811527e-05, 9.99288168e-05, 9.97970783e-05, ...,\n",
+       "          1.08680266e-04, 1.07814842e-04, 1.07788132e-04],\n",
+       "         [9.98852120e-05, 9.98717587e-05, 9.97780662e-05, ...,\n",
+       "          1.08545661e-04, 1.07673208e-04, 1.07718144e-04]],\n",
+       "\n",
+       "        [[9.99803669e-05, 9.99803669e-05, 9.99803597e-05, ...,\n",
+       "          9.99476033e-05, 9.99760450e-05, 9.99672338e-05],\n",
+       "         [1.00038189e-04, 1.00016543e-04, 1.00022698e-04, ...,\n",
+       "          9.99189288e-05, 9.99363765e-05, 9.99809854e-05],\n",
+       "         [1.00050835e-04, 1.00023950e-04, 1.00017256e-04, ...,\n",
+       "          9.98632313e-05, 9.99115655e-05, 9.99810145e-05],\n",
+       "         ...,\n",
+       "         [9.99811964e-05, 9.99457552e-05, 9.99811164e-05, ...,\n",
+       "          9.55311843e-05, 9.49529785e-05, 9.49562091e-05],\n",
+       "         [9.99811818e-05, 9.99839613e-05, 9.99461990e-05, ...,\n",
+       "          9.57696247e-05, 9.58991150e-05, 9.58864548e-05],\n",
+       "         [9.99473341e-05, 9.99344702e-05, 9.99190233e-05, ...,\n",
+       "          9.56896693e-05, 9.58154487e-05, 9.58494857e-05]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>asoa3j</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.778e-08 1.776e-08 ... 1.985e-14</div><input id='attrs-bb6ba37d-5ef6-4fb7-9af1-6c020e2aa0ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb6ba37d-5ef6-4fb7-9af1-6c020e2aa0ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b5e396d-f052-46f2-b086-4a39d40a58b2' class='xr-var-data-in' type='checkbox'><label for='data-8b5e396d-f052-46f2-b086-4a39d40a58b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.77779409e-08, 1.77598274e-08, 1.87479703e-08, ...,\n",
+       "          4.74332694e-07, 3.60801522e-07, 3.24561398e-07],\n",
+       "         [1.78379196e-08, 1.78497128e-08, 1.87276239e-08, ...,\n",
+       "          3.54154338e-07, 3.99038498e-07, 1.82374631e-08],\n",
+       "         [1.71004331e-08, 1.70225789e-08, 1.76406516e-08, ...,\n",
+       "          3.66382409e-08, 1.07807480e-07, 1.77743722e-08],\n",
+       "         ...,\n",
+       "         [3.02809422e-05, 3.04607747e-05, 3.14049139e-05, ...,\n",
+       "          6.69357360e-06, 4.43048657e-06, 1.50570774e-08],\n",
+       "         [2.96701182e-05, 2.95528462e-05, 2.81862522e-05, ...,\n",
+       "          3.95206962e-06, 2.85951933e-06, 1.53097126e-08],\n",
+       "         [2.98650120e-05, 2.97300412e-05, 2.82474575e-05, ...,\n",
+       "          3.43210695e-06, 2.05422816e-06, 2.70408896e-06]],\n",
+       "\n",
+       "        [[1.86557578e-08, 1.86749798e-08, 1.99001295e-08, ...,\n",
+       "          4.61569670e-07, 3.34611457e-07, 3.19674882e-07],\n",
+       "         [1.87168645e-08, 1.88907308e-08, 1.98925729e-08, ...,\n",
+       "          3.77096711e-07, 3.58906874e-07, 2.08172839e-08],\n",
+       "         [1.78705335e-08, 1.79479969e-08, 1.86091480e-08, ...,\n",
+       "          4.18310258e-08, 9.67082130e-08, 2.03168753e-08],\n",
+       "...\n",
+       "          2.15172932e-14, 2.14709757e-14, 2.13737753e-14],\n",
+       "         [3.04741245e-14, 3.04012254e-14, 3.04847022e-14, ...,\n",
+       "          2.16153423e-14, 2.13741903e-14, 2.12941288e-14],\n",
+       "         [3.01604580e-14, 3.00923396e-14, 3.03693600e-14, ...,\n",
+       "          2.12018987e-14, 2.09250257e-14, 2.10685215e-14]],\n",
+       "\n",
+       "        [[3.05052038e-14, 3.04055588e-14, 3.02289322e-14, ...,\n",
+       "          5.13164238e-14, 5.12923783e-14, 5.12136720e-14],\n",
+       "         [3.02461879e-14, 3.00979978e-14, 2.98259850e-14, ...,\n",
+       "          5.11049197e-14, 5.09863995e-14, 5.10988075e-14],\n",
+       "         [3.00908353e-14, 2.99098582e-14, 2.97623424e-14, ...,\n",
+       "          5.10730950e-14, 5.09280897e-14, 5.10362389e-14],\n",
+       "         ...,\n",
+       "         [2.69529662e-14, 2.71409939e-14, 2.72004726e-14, ...,\n",
+       "          1.98123395e-14, 2.03449098e-14, 2.03355839e-14],\n",
+       "         [2.69956244e-14, 2.71745517e-14, 2.71051458e-14, ...,\n",
+       "          1.95264235e-14, 2.00422259e-14, 1.99747970e-14],\n",
+       "         [2.69941015e-14, 2.69366896e-14, 2.69600812e-14, ...,\n",
+       "          1.92269093e-14, 1.97283308e-14, 1.98459091e-14]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bsoa2j</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.271e-08 7.264e-08 ... 1.108e-12</div><input id='attrs-e5d31fdf-bb08-4e40-966b-09176c92c6e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5d31fdf-bb08-4e40-966b-09176c92c6e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73ad0bd3-1761-45f6-8568-72717b6b0ccf' class='xr-var-data-in' type='checkbox'><label for='data-73ad0bd3-1761-45f6-8568-72717b6b0ccf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[7.27086658e-08, 7.26431040e-08, 5.40276659e-08, ...,\n",
+       "          9.54271684e-08, 6.70524898e-08, 5.96956369e-08],\n",
+       "         [7.29337799e-08, 7.28739735e-08, 5.40130394e-08, ...,\n",
+       "          6.53336372e-08, 7.33796881e-08, 3.36043215e-09],\n",
+       "         [8.33305123e-08, 8.29022895e-08, 5.57992408e-08, ...,\n",
+       "          5.59510749e-09, 1.65849094e-08, 2.75485745e-09],\n",
+       "         ...,\n",
+       "         [1.00701172e-07, 1.01371938e-07, 1.15342381e-07, ...,\n",
+       "          8.67934505e-05, 5.30751131e-05, 1.67631711e-07],\n",
+       "         [9.78297763e-08, 9.76210970e-08, 9.79923342e-08, ...,\n",
+       "          5.04042728e-05, 3.43929605e-05, 1.79042914e-07],\n",
+       "         [9.83526220e-08, 9.80022463e-08, 9.79576882e-08, ...,\n",
+       "          4.36788687e-05, 2.48212637e-05, 3.25417204e-05]],\n",
+       "\n",
+       "        [[7.59008287e-08, 7.59814327e-08, 5.68085561e-08, ...,\n",
+       "          8.88234268e-08, 6.18666007e-08, 5.88202091e-08],\n",
+       "         [7.61330199e-08, 7.66441346e-08, 5.68842715e-08, ...,\n",
+       "          6.95703619e-08, 6.60159998e-08, 3.83853838e-09],\n",
+       "         [8.69140493e-08, 8.72326282e-08, 5.87297926e-08, ...,\n",
+       "          6.38928954e-09, 1.48931250e-08, 3.15131121e-09],\n",
+       "...\n",
+       "          1.28465576e-12, 1.27911418e-12, 1.27347536e-12],\n",
+       "         [1.43375925e-12, 1.43794503e-12, 1.44354721e-12, ...,\n",
+       "          1.28244193e-12, 1.26953201e-12, 1.26481041e-12],\n",
+       "         [1.42647179e-12, 1.42326537e-12, 1.43825262e-12, ...,\n",
+       "          1.25796541e-12, 1.24313884e-12, 1.25150433e-12]],\n",
+       "\n",
+       "        [[1.49021507e-12, 1.48610855e-12, 1.48093744e-12, ...,\n",
+       "          2.24023296e-12, 2.23473215e-12, 2.23156476e-12],\n",
+       "         [1.48715046e-12, 1.47963586e-12, 1.47123362e-12, ...,\n",
+       "          2.23049487e-12, 2.22141489e-12, 2.22197564e-12],\n",
+       "         [1.48622445e-12, 1.47730266e-12, 1.47132567e-12, ...,\n",
+       "          2.22640656e-12, 2.21563219e-12, 2.21593620e-12],\n",
+       "         ...,\n",
+       "         [1.25284603e-12, 1.26187808e-12, 1.26918994e-12, ...,\n",
+       "          1.12402882e-12, 1.13069081e-12, 1.13010003e-12],\n",
+       "         [1.25631189e-12, 1.25793950e-12, 1.26420185e-12, ...,\n",
+       "          1.10839452e-12, 1.11846925e-12, 1.11473092e-12],\n",
+       "         [1.24966487e-12, 1.24686958e-12, 1.25768970e-12, ...,\n",
+       "          1.09151002e-12, 1.10106423e-12, 1.10758440e-12]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>asoa1i</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.119e-05 3.094e-05 ... 9.203e-09</div><input id='attrs-5ddb05d0-c4ba-494f-b1c2-7d6df1a7a712' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ddb05d0-c4ba-494f-b1c2-7d6df1a7a712' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b514e176-7485-4a8d-98cd-3974857409d2' class='xr-var-data-in' type='checkbox'><label for='data-b514e176-7485-4a8d-98cd-3974857409d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[3.11878030e-05, 3.09420284e-05, 3.04521782e-05, ...,\n",
+       "          2.17272391e-05, 6.12232034e-05, 4.42893870e-05],\n",
+       "         [3.16620390e-05, 3.16743499e-05, 2.98864124e-05, ...,\n",
+       "          1.24932103e-05, 6.76687050e-05, 3.01953423e-06],\n",
+       "         [1.22785536e-06, 5.62670095e-07, 2.69296088e-08, ...,\n",
+       "          4.76194714e-07, 8.51770710e-06, 2.95117411e-06],\n",
+       "         ...,\n",
+       "         [1.22529483e-16, 1.22588127e-16, 4.13850241e-04, ...,\n",
+       "          1.32057161e-04, 9.27903093e-05, 1.47964883e-07],\n",
+       "         [1.22585626e-16, 1.22653931e-16, 7.02906691e-04, ...,\n",
+       "          5.17706321e-05, 4.91372521e-05, 1.45203487e-07],\n",
+       "         [1.22631260e-16, 1.22713157e-16, 6.75306306e-04, ...,\n",
+       "          4.19990101e-05, 3.48603680e-05, 4.77933609e-05]],\n",
+       "\n",
+       "        [[3.95497264e-05, 3.96365031e-05, 4.06415238e-05, ...,\n",
+       "          2.15403543e-05, 5.65031296e-05, 4.33553942e-05],\n",
+       "         [4.00180506e-05, 4.15654322e-05, 4.00494282e-05, ...,\n",
+       "          1.39146277e-05, 6.06677277e-05, 3.44577847e-06],\n",
+       "         [8.68769712e-06, 9.45736974e-06, 8.56821134e-06, ...,\n",
+       "          4.87992054e-07, 7.08817424e-06, 3.37259053e-06],\n",
+       "...\n",
+       "          1.13067022e-08, 1.11846932e-08, 1.11330856e-08],\n",
+       "         [4.32609992e-09, 4.38024728e-09, 4.53561189e-09, ...,\n",
+       "          1.06318740e-08, 1.06404467e-08, 1.05990132e-08],\n",
+       "         [4.34556613e-09, 4.33575620e-09, 4.51909310e-09, ...,\n",
+       "          1.04180344e-08, 1.04078577e-08, 1.04821902e-08]],\n",
+       "\n",
+       "        [[4.88934937e-09, 4.91319696e-09, 5.00141528e-09, ...,\n",
+       "          3.22509686e-09, 3.05945358e-09, 3.05474024e-09],\n",
+       "         [5.29306243e-09, 5.26726573e-09, 5.37757883e-09, ...,\n",
+       "          3.21219806e-09, 3.04113223e-09, 3.00492320e-09],\n",
+       "         [5.60414115e-09, 5.57052982e-09, 5.62421665e-09, ...,\n",
+       "          3.20385851e-09, 2.98485769e-09, 3.00190739e-09],\n",
+       "         ...,\n",
+       "         [3.68164965e-09, 3.67171649e-09, 3.89644006e-09, ...,\n",
+       "          9.56344515e-09, 9.51035339e-09, 9.50623935e-09],\n",
+       "         [3.69435793e-09, 3.97378486e-09, 3.96811339e-09, ...,\n",
+       "          9.33946609e-09, 9.29104971e-09, 9.26098220e-09],\n",
+       "         [3.94841138e-09, 3.94033739e-09, 3.94762090e-09, ...,\n",
+       "          9.20153376e-09, 9.15103282e-09, 9.20347532e-09]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>asoa1j</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0006114 0.0006109 ... 3.555e-08</div><input id='attrs-88b7f149-9057-4567-b6a3-d86d4b3dc786' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88b7f149-9057-4567-b6a3-d86d4b3dc786' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66269bad-d38b-47d6-8a45-784677075f93' class='xr-var-data-in' type='checkbox'><label for='data-66269bad-d38b-47d6-8a45-784677075f93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[6.11387892e-04, 6.10906922e-04, 5.52874524e-04, ...,\n",
+       "          2.01578150e-04, 1.50750857e-04, 1.35638242e-04],\n",
+       "         [6.13407406e-04, 6.13895594e-04, 5.52723068e-04, ...,\n",
+       "          1.50565451e-04, 1.66693877e-04, 7.48966386e-06],\n",
+       "         [6.23481581e-04, 6.21146406e-04, 5.39054919e-04, ...,\n",
+       "          1.55411799e-05, 4.52241256e-05, 7.31949604e-06],\n",
+       "         ...,\n",
+       "         [6.63454179e-03, 6.68685371e-03, 6.40758127e-03, ...,\n",
+       "          1.87735612e-04, 1.23304562e-04, 4.15064306e-07],\n",
+       "         [6.21991465e-03, 6.20858883e-03, 4.92765894e-03, ...,\n",
+       "          1.05606283e-04, 7.64046563e-05, 4.06806834e-07],\n",
+       "         [6.25393959e-03, 6.23282231e-03, 4.93249111e-03, ...,\n",
+       "          9.24712222e-05, 5.55804509e-05, 7.22284894e-05]],\n",
+       "\n",
+       "        [[6.38822094e-04, 6.39559061e-04, 5.82676032e-04, ...,\n",
+       "          1.96245572e-04, 1.39916549e-04, 1.33699141e-04],\n",
+       "         [6.40908547e-04, 6.46296772e-04, 5.82988898e-04, ...,\n",
+       "          1.60372176e-04, 1.50035077e-04, 8.55783856e-06],\n",
+       "         [6.49517111e-04, 6.52290648e-04, 5.66650182e-04, ...,\n",
+       "          1.77475176e-05, 4.06068611e-05, 8.37545667e-06],\n",
+       "...\n",
+       "          4.67676955e-08, 4.63617091e-08, 4.61547245e-08],\n",
+       "         [1.55999533e-08, 1.59317732e-08, 1.61054707e-08, ...,\n",
+       "          4.63606256e-08, 4.61044039e-08, 4.59333016e-08],\n",
+       "         [1.58066698e-08, 1.57712705e-08, 1.60447300e-08, ...,\n",
+       "          4.54805189e-08, 4.51444571e-08, 4.54511380e-08]],\n",
+       "\n",
+       "        [[1.79243251e-08, 1.80119724e-08, 1.83354150e-08, ...,\n",
+       "          1.14278897e-08, 1.12956329e-08, 1.12783747e-08],\n",
+       "         [1.93642773e-08, 1.92696685e-08, 1.96674517e-08, ...,\n",
+       "          1.13805951e-08, 1.12285328e-08, 1.10035812e-08],\n",
+       "         [2.05588258e-08, 2.04355857e-08, 2.06505106e-08, ...,\n",
+       "          1.13591909e-08, 1.12614922e-08, 1.09928076e-08],\n",
+       "         ...,\n",
+       "         [1.35877922e-08, 1.40947325e-08, 1.43555425e-08, ...,\n",
+       "          3.64517945e-08, 3.61531498e-08, 3.61368535e-08],\n",
+       "         [1.36344713e-08, 1.38656304e-08, 1.43312766e-08, ...,\n",
+       "          3.61760826e-08, 3.58937200e-08, 3.57745549e-08],\n",
+       "         [1.37722811e-08, 1.37425804e-08, 1.42544003e-08, ...,\n",
+       "          3.56282115e-08, 3.53388465e-08, 3.55466980e-08]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bsoa3j</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.48e-09 1.479e-09 ... 5.636e-14</div><input id='attrs-33cfab56-f265-4395-a7d3-7bccb32cd481' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33cfab56-f265-4395-a7d3-7bccb32cd481' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b84c73f-d350-4b91-aa39-b59dc106b0a3' class='xr-var-data-in' type='checkbox'><label for='data-5b84c73f-d350-4b91-aa39-b59dc106b0a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.48005852e-09, 1.47888224e-09, 1.09252163e-09, ...,\n",
+       "          6.19441742e-09, 2.24300112e-09, 1.71363701e-09],\n",
+       "         [1.48466739e-09, 1.48356505e-09, 1.09129394e-09, ...,\n",
+       "          1.86048787e-09, 2.10726747e-09, 9.76588740e-11],\n",
+       "         [1.68618508e-09, 1.67766911e-09, 1.12030640e-09, ...,\n",
+       "          1.61418434e-10, 4.78119044e-10, 7.95973912e-11],\n",
+       "         ...,\n",
+       "         [7.64410224e-09, 7.70478437e-09, 8.81455708e-09, ...,\n",
+       "          1.25533506e-05, 7.56836653e-06, 2.36897364e-08],\n",
+       "         [8.00668687e-09, 8.03254796e-09, 8.10601630e-09, ...,\n",
+       "          7.28428586e-06, 4.86720683e-06, 2.54649315e-08],\n",
+       "         [8.03007971e-09, 8.02360933e-09, 8.09026623e-09, ...,\n",
+       "          6.29213264e-06, 3.51724134e-06, 4.60464435e-06]],\n",
+       "\n",
+       "        [[1.54481283e-09, 1.54659852e-09, 1.14909848e-09, ...,\n",
+       "          4.16306412e-09, 1.91585725e-09, 1.68741066e-09],\n",
+       "         [1.54957758e-09, 1.56005475e-09, 1.14981558e-09, ...,\n",
+       "          1.97964156e-09, 1.89444949e-09, 1.11526122e-10],\n",
+       "         [1.75841219e-09, 1.76487547e-09, 1.17890253e-09, ...,\n",
+       "          1.84297480e-10, 4.29315639e-10, 9.10309120e-11],\n",
+       "...\n",
+       "          6.40671530e-14, 6.38423098e-14, 6.35533970e-14],\n",
+       "         [9.12739394e-14, 9.12479388e-14, 9.15198500e-14, ...,\n",
+       "          6.44550941e-14, 6.36418747e-14, 6.34037568e-14],\n",
+       "         [9.05274594e-14, 9.03236226e-14, 9.11746264e-14, ...,\n",
+       "          6.32238131e-14, 6.23059343e-14, 6.27327237e-14]],\n",
+       "\n",
+       "        [[8.79073493e-14, 8.75956683e-14, 8.69701514e-14, ...,\n",
+       "          1.57719988e-13, 1.57633902e-13, 1.57392179e-13],\n",
+       "         [8.69147554e-14, 8.64894500e-14, 8.55457740e-14, ...,\n",
+       "          1.57070415e-13, 1.56694211e-13, 1.57034786e-13],\n",
+       "         [8.63003516e-14, 8.57819200e-14, 8.52481131e-14, ...,\n",
+       "          1.57007355e-13, 1.56543439e-13, 1.56865921e-13],\n",
+       "         ...,\n",
+       "         [8.02547048e-14, 8.05900350e-14, 8.09844609e-14, ...,\n",
+       "          5.65067131e-14, 5.76067107e-14, 5.75803036e-14],\n",
+       "         [8.03650901e-14, 8.06338029e-14, 8.06823683e-14, ...,\n",
+       "          5.59259941e-14, 5.69223894e-14, 5.67309261e-14],\n",
+       "         [8.00974209e-14, 7.99267404e-14, 8.02509982e-14, ...,\n",
+       "          5.50684274e-14, 5.60310431e-14, 5.63649266e-14]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bsoa4i</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.113e-11 2.112e-11 ... 4.836e-16</div><input id='attrs-67307aa7-a8cb-470c-9a22-a537b63f706f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67307aa7-a8cb-470c-9a22-a537b63f706f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63d462d9-9cec-45b2-adaf-d58e9ebbb047' class='xr-var-data-in' type='checkbox'><label for='data-63d462d9-9cec-45b2-adaf-d58e9ebbb047' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.11262795e-11, 2.11189434e-11, 1.78909821e-11, ...,\n",
+       "          6.08846445e-11, 1.68766893e-11, 4.16472886e-14],\n",
+       "         [2.11400515e-11, 2.10892484e-11, 1.77818142e-11, ...,\n",
+       "          7.54171506e-14, 5.69691118e-14, 7.32342727e-16],\n",
+       "         [2.36919043e-11, 2.36020960e-11, 1.71624277e-11, ...,\n",
+       "          1.16738120e-16, 1.71795868e-15, 8.08917947e-16],\n",
+       "         ...,\n",
+       "         [1.22529483e-16, 1.22588127e-16, 8.25028865e-11, ...,\n",
+       "          7.07310278e-07, 4.63854548e-07, 7.06328052e-10],\n",
+       "         [1.94433723e-11, 3.57351579e-11, 1.67965739e-10, ...,\n",
+       "          2.96712443e-07, 2.56951409e-07, 7.72499231e-10],\n",
+       "         [1.58556328e-11, 2.03889527e-11, 1.61260366e-10, ...,\n",
+       "          2.31198626e-07, 1.79098549e-07, 2.49698815e-07]],\n",
+       "\n",
+       "        [[2.14533166e-11, 2.14569786e-11, 1.82711988e-11, ...,\n",
+       "          2.93728028e-11, 7.43670663e-12, 3.52925764e-14],\n",
+       "         [2.14648056e-11, 2.14888732e-11, 1.81731297e-11, ...,\n",
+       "          7.74605057e-14, 4.70713929e-14, 8.78233988e-16],\n",
+       "         [2.40214723e-11, 2.40197012e-11, 1.75187920e-11, ...,\n",
+       "          1.16513021e-16, 1.48863531e-15, 8.63850786e-16],\n",
+       "...\n",
+       "          5.01182513e-16, 5.02174865e-16, 5.00298422e-16],\n",
+       "         [7.67912658e-16, 7.66096037e-16, 7.73949515e-16, ...,\n",
+       "          4.64458976e-16, 4.65827463e-16, 4.64329750e-16],\n",
+       "         [7.60461945e-16, 7.58867776e-16, 7.71302273e-16, ...,\n",
+       "          4.56679190e-16, 4.57426697e-16, 4.60111262e-16]],\n",
+       "\n",
+       "        [[6.01245956e-16, 5.98898616e-16, 5.93764167e-16, ...,\n",
+       "          1.17194790e-15, 1.17021625e-15, 1.16850397e-15],\n",
+       "         [5.92099271e-16, 5.89471033e-16, 5.81981886e-16, ...,\n",
+       "          1.16736069e-15, 1.16355762e-15, 1.16648518e-15],\n",
+       "         [5.86992191e-16, 5.83797871e-16, 5.79350842e-16, ...,\n",
+       "          1.16825759e-15, 1.16324379e-15, 1.16591004e-15],\n",
+       "         ...,\n",
+       "         [6.73040627e-16, 6.43412897e-16, 6.58758011e-16, ...,\n",
+       "          5.00941585e-16, 5.00655446e-16, 5.00483975e-16],\n",
+       "         [6.73745570e-16, 6.39066136e-16, 6.55391425e-16, ...,\n",
+       "          4.73639913e-16, 4.87318436e-16, 4.86038093e-16],\n",
+       "         [6.34945850e-16, 6.33634855e-16, 6.52129766e-16, ...,\n",
+       "          4.67941287e-16, 4.81331713e-16, 4.83576827e-16]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bsoa1i</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.181e-16 1.182e-16 ... 1.402e-11</div><input id='attrs-29a47421-184e-4559-b1db-1e35c6c8cac4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29a47421-184e-4559-b1db-1e35c6c8cac4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f697415-3da8-4867-a694-22fc297090a4' class='xr-var-data-in' type='checkbox'><label for='data-8f697415-3da8-4867-a694-22fc297090a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.18121431e-16, 1.18156702e-16, 1.18178513e-16, ...,\n",
+       "          6.16355919e-07, 1.73852402e-06, 1.25629185e-06],\n",
+       "         [1.18155127e-16, 1.18178288e-16, 1.18186282e-16, ...,\n",
+       "          3.50561152e-07, 1.91977119e-06, 8.68603820e-08],\n",
+       "         [1.18177269e-16, 1.18173206e-16, 1.18185276e-16, ...,\n",
+       "          1.17684165e-08, 2.02913881e-07, 7.17207982e-08],\n",
+       "         ...,\n",
+       "         [1.22529483e-16, 1.22588127e-16, 1.22669058e-16, ...,\n",
+       "          4.28539322e-04, 2.82806199e-04, 4.28474607e-07],\n",
+       "         [1.22585626e-16, 1.22653931e-16, 2.72913866e-07, ...,\n",
+       "          1.61565185e-04, 1.49249900e-04, 4.43744568e-07],\n",
+       "         [1.22631260e-16, 1.22713157e-16, 2.49823046e-07, ...,\n",
+       "          1.29466600e-04, 1.05021260e-04, 1.45010607e-04]],\n",
+       "\n",
+       "        [[1.17931100e-16, 1.17964095e-16, 1.17980850e-16, ...,\n",
+       "          6.09214453e-07, 1.60461855e-06, 1.23061341e-06],\n",
+       "         [1.17967231e-16, 1.17992510e-16, 1.18003998e-16, ...,\n",
+       "          3.91726843e-07, 1.72210127e-06, 9.91202427e-08],\n",
+       "         [1.17991795e-16, 1.17982915e-16, 1.17995435e-16, ...,\n",
+       "          1.22295010e-08, 1.68861590e-07, 8.19616091e-08],\n",
+       "...\n",
+       "          1.39834325e-11, 1.39065504e-11, 1.38430430e-11],\n",
+       "         [3.54538079e-12, 3.63003898e-12, 3.74147675e-12, ...,\n",
+       "          1.29609570e-11, 1.30722976e-11, 1.30218605e-11],\n",
+       "         [3.60156978e-12, 3.59351546e-12, 3.72762888e-12, ...,\n",
+       "          1.27036472e-11, 1.27898178e-11, 1.28796505e-11]],\n",
+       "\n",
+       "        [[2.38130804e-12, 2.38442144e-12, 2.42275796e-12, ...,\n",
+       "          2.02872528e-12, 2.05448180e-12, 2.05159067e-12],\n",
+       "         [2.46143015e-12, 2.44903295e-12, 2.48249858e-12, ...,\n",
+       "          2.02016745e-12, 2.04271040e-12, 1.95790086e-12],\n",
+       "         [2.76996828e-12, 2.75387504e-12, 2.80844857e-12, ...,\n",
+       "          1.84671506e-12, 1.86892884e-12, 1.95414409e-12],\n",
+       "         ...,\n",
+       "         [2.99548125e-12, 3.03176039e-12, 3.28368062e-12, ...,\n",
+       "          1.45330796e-11, 1.44822765e-11, 1.44766144e-11],\n",
+       "         [2.99743975e-12, 3.02562662e-12, 3.28373938e-12, ...,\n",
+       "          1.41330819e-11, 1.41566888e-11, 1.41107568e-11],\n",
+       "         [3.00508490e-12, 2.99855149e-12, 3.26704983e-12, ...,\n",
+       "          1.39266116e-11, 1.39447455e-11, 1.40239270e-11]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>asoa2i</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.988e-08 5.911e-08 ... 3.31e-10</div><input id='attrs-165d075a-1497-44be-8dc0-e93e12906f16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-165d075a-1497-44be-8dc0-e93e12906f16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a39c1b36-b9ff-4437-809a-759e4b550fe9' class='xr-var-data-in' type='checkbox'><label for='data-a39c1b36-b9ff-4437-809a-759e4b550fe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[5.98808256e-08, 5.91147469e-08, 8.11800831e-08, ...,\n",
+       "          7.83904170e-07, 2.21314986e-06, 1.60093305e-06],\n",
+       "         [6.13743154e-08, 6.14496187e-08, 7.95318513e-08, ...,\n",
+       "          4.51104029e-07, 2.44627199e-06, 1.09625468e-07],\n",
+       "         [1.18177269e-16, 1.18173206e-16, 1.18185276e-16, ...,\n",
+       "          1.72844157e-08, 3.08858432e-07, 1.06873991e-07],\n",
+       "         ...,\n",
+       "         [1.22529483e-16, 1.22588127e-16, 1.22669058e-16, ...,\n",
+       "          3.40408951e-05, 2.35831940e-05, 3.71754503e-08],\n",
+       "         [1.22585626e-16, 1.22653931e-16, 1.31717825e-05, ...,\n",
+       "          1.35769742e-05, 1.27550429e-05, 3.73678297e-08],\n",
+       "         [1.22631260e-16, 1.22713157e-16, 1.12703365e-05, ...,\n",
+       "          1.08804734e-05, 8.94449113e-06, 1.24055114e-05]],\n",
+       "\n",
+       "        [[8.61493348e-08, 8.64320739e-08, 1.15798855e-07, ...,\n",
+       "          7.77079435e-07, 2.04220260e-06, 1.56694614e-06],\n",
+       "         [8.76294948e-08, 9.25058004e-08, 1.14145671e-07, ...,\n",
+       "          5.02241448e-07, 2.19283675e-06, 1.25068908e-07],\n",
+       "         [1.66850960e-08, 1.92042542e-08, 2.16179483e-08, ...,\n",
+       "          1.76893007e-08, 2.57185633e-07, 1.22100758e-07],\n",
+       "...\n",
+       "          4.18313856e-10, 4.13520440e-10, 4.11631035e-10],\n",
+       "         [6.50997145e-10, 6.66414091e-10, 6.70114964e-10, ...,\n",
+       "          3.94469041e-10, 3.91927102e-10, 3.90406985e-10],\n",
+       "         [6.61266042e-10, 6.59809596e-10, 6.67697897e-10, ...,\n",
+       "          3.86559063e-10, 3.83393095e-10, 3.86120469e-10]],\n",
+       "\n",
+       "        [[1.08959652e-09, 1.08866904e-09, 1.09487641e-09, ...,\n",
+       "          1.18358690e-09, 1.18116983e-09, 1.17935872e-09],\n",
+       "         [1.11154330e-09, 1.10610932e-09, 1.11393239e-09, ...,\n",
+       "          1.17873133e-09, 1.17412990e-09, 1.17510790e-09],\n",
+       "         [1.12834520e-09, 1.12157006e-09, 1.12565834e-09, ...,\n",
+       "          1.17468546e-09, 1.17027077e-09, 1.17188548e-09],\n",
+       "         ...,\n",
+       "         [5.60129831e-10, 5.56057589e-10, 5.68214198e-10, ...,\n",
+       "          3.41399714e-10, 3.43321649e-10, 3.43176959e-10],\n",
+       "         [5.61688585e-10, 5.62577540e-10, 5.67728919e-10, ...,\n",
+       "          3.32713329e-10, 3.34038852e-10, 3.32982197e-10],\n",
+       "         [5.58825097e-10, 5.57631552e-10, 5.64759295e-10, ...,\n",
+       "          3.27908811e-10, 3.29116179e-10, 3.30960259e-10]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>asoa2j</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.938e-06 1.936e-06 ... 1.239e-09</div><input id='attrs-a689e3d4-c15d-47f1-9a1b-0baf8ee689ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a689e3d4-c15d-47f1-9a1b-0baf8ee689ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9438445-55e2-4c2f-b535-e0779564078f' class='xr-var-data-in' type='checkbox'><label for='data-d9438445-55e2-4c2f-b535-e0779564078f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.93793699e-06, 1.93649521e-06, 1.90879086e-06, ...,\n",
+       "          7.25575137e-06, 5.44862814e-06, 4.90200046e-06],\n",
+       "         [1.94434006e-06, 1.94596373e-06, 1.90935884e-06, ...,\n",
+       "          5.41871850e-06, 6.02535692e-06, 2.71915439e-07],\n",
+       "         [1.92044558e-06, 1.91209210e-06, 1.85257466e-06, ...,\n",
+       "          5.60993499e-07, 1.63308164e-06, 2.65068650e-07],\n",
+       "         ...,\n",
+       "         [4.20422817e-04, 4.23197867e-04, 4.35914437e-04, ...,\n",
+       "          4.84625489e-05, 3.13629243e-05, 1.04282876e-07],\n",
+       "         [4.07659652e-04, 4.06187464e-04, 3.64339619e-04, ...,\n",
+       "          2.79513279e-05, 1.98844355e-05, 1.04690919e-07],\n",
+       "         [4.10260749e-04, 4.08478460e-04, 3.64620297e-04, ...,\n",
+       "          2.43328359e-05, 1.43384968e-05, 1.88006688e-05]],\n",
+       "\n",
+       "        [[2.02394313e-06, 2.02634078e-06, 2.00957311e-06, ...,\n",
+       "          7.06281526e-06, 5.05585786e-06, 4.83086887e-06],\n",
+       "         [2.03057903e-06, 2.04746993e-06, 2.01220473e-06, ...,\n",
+       "          5.77112041e-06, 5.42199723e-06, 3.10617651e-07],\n",
+       "         [2.00301110e-06, 2.01154467e-06, 1.95014150e-06, ...,\n",
+       "          6.40567123e-07, 1.46582988e-06, 3.03223800e-07],\n",
+       "...\n",
+       "          1.70473746e-09, 1.69047187e-09, 1.68290215e-09],\n",
+       "         [2.34750086e-09, 2.34239872e-09, 2.34664932e-09, ...,\n",
+       "          1.71226189e-09, 1.68862813e-09, 1.68235259e-09],\n",
+       "         [2.32386466e-09, 2.31862041e-09, 2.33776754e-09, ...,\n",
+       "          1.67971592e-09, 1.65341840e-09, 1.66466685e-09]],\n",
+       "\n",
+       "        [[3.99445366e-09, 3.99110345e-09, 4.01386613e-09, ...,\n",
+       "          4.33435554e-09, 4.32586900e-09, 4.31923919e-09],\n",
+       "         [4.07491196e-09, 4.05498568e-09, 4.08368495e-09, ...,\n",
+       "          4.31651204e-09, 4.30009228e-09, 4.30306946e-09],\n",
+       "         [4.13891144e-09, 4.11406820e-09, 4.12904599e-09, ...,\n",
+       "          4.30150582e-09, 4.28592539e-09, 4.29137481e-09],\n",
+       "         ...,\n",
+       "         [2.06725992e-09, 2.08325335e-09, 2.08601891e-09, ...,\n",
+       "          1.25878075e-09, 1.26522448e-09, 1.26464983e-09],\n",
+       "         [2.07297868e-09, 2.08089901e-09, 2.08419104e-09, ...,\n",
+       "          1.24971478e-09, 1.25151400e-09, 1.24733146e-09],\n",
+       "         [2.06704809e-09, 2.06264117e-09, 2.07304129e-09, ...,\n",
+       "          1.23066435e-09, 1.23204069e-09, 1.23933541e-09]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bsoa1j</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0003429 0.0003426 ... 5.35e-11</div><input id='attrs-a4993586-a8b4-46ba-b31a-5716527e72cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4993586-a8b4-46ba-b31a-5716527e72cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42107e30-511a-4902-80d7-78ef9bb8b1df' class='xr-var-data-in' type='checkbox'><label for='data-42107e30-511a-4902-80d7-78ef9bb8b1df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[3.42933781e-04, 3.42648593e-04, 3.07193463e-04, ...,\n",
+       "          5.72077306e-06, 4.28910062e-06, 3.85535759e-06],\n",
+       "         [3.43998428e-04, 3.43750813e-04, 3.07140144e-04, ...,\n",
+       "          4.23757865e-06, 4.73782484e-06, 2.15448779e-07],\n",
+       "         [3.84636456e-04, 3.82713799e-04, 3.44585307e-04, ...,\n",
+       "          3.60765341e-07, 1.07218239e-06, 1.77881788e-07],\n",
+       "         ...,\n",
+       "         [5.07839786e-06, 5.11286271e-06, 5.40442170e-06, ...,\n",
+       "          6.34469441e-04, 3.84753366e-04, 1.20193749e-06],\n",
+       "         [4.60892352e-06, 4.59572175e-06, 4.36800201e-06, ...,\n",
+       "          3.51514376e-04, 2.38538865e-04, 1.24320911e-06],\n",
+       "         [4.63595779e-06, 4.61769150e-06, 4.36931396e-06, ...,\n",
+       "          3.05476016e-04, 1.73563982e-04, 2.25641052e-04]],\n",
+       "\n",
+       "        [[3.57632991e-04, 3.58033547e-04, 3.22774518e-04, ...,\n",
+       "          5.54520284e-06, 3.97871690e-06, 3.80014944e-06],\n",
+       "         [3.58737801e-04, 3.61118640e-04, 3.23243410e-04, ...,\n",
+       "          4.51329379e-06, 4.26411907e-06, 2.46172277e-07],\n",
+       "         [4.00853052e-04, 4.02315432e-04, 3.62499268e-04, ...,\n",
+       "          4.12054305e-07, 9.63076218e-07, 2.03542655e-07],\n",
+       "...\n",
+       "          5.68386588e-11, 5.68527343e-11, 5.65982886e-11],\n",
+       "         [1.27844116e-11, 1.30342490e-11, 1.32322131e-11, ...,\n",
+       "          5.57449226e-11, 5.59622730e-11, 5.57541444e-11],\n",
+       "         [1.29316306e-11, 1.29025913e-11, 1.31812998e-11, ...,\n",
+       "          5.46867968e-11, 5.47972570e-11, 5.51676309e-11]],\n",
+       "\n",
+       "        [[8.72959430e-12, 8.74111634e-12, 8.88167231e-12, ...,\n",
+       "          7.49995292e-12, 7.28340045e-12, 7.27285506e-12],\n",
+       "         [9.40466628e-12, 9.35911591e-12, 9.51490362e-12, ...,\n",
+       "          7.46849371e-12, 7.24045737e-12, 7.16927472e-12],\n",
+       "         [9.73801855e-12, 9.67912556e-12, 9.70748395e-12, ...,\n",
+       "          7.64433829e-12, 7.40668551e-12, 7.15569531e-12],\n",
+       "         ...,\n",
+       "         [1.10550943e-11, 1.14348496e-11, 1.15870031e-11, ...,\n",
+       "          5.50010940e-11, 5.45367744e-11, 5.45143132e-11],\n",
+       "         [1.10621425e-11, 1.14695042e-11, 1.16069888e-11, ...,\n",
+       "          5.41426105e-11, 5.40280078e-11, 5.38460561e-11],\n",
+       "         [1.13935805e-11, 1.13694210e-11, 1.15444486e-11, ...,\n",
+       "          5.33230161e-11, 5.31886826e-11, 5.35022825e-11]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bsoa2i</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.181e-16 1.182e-16 ... 2.959e-13</div><input id='attrs-f3e8df0a-61a6-4f59-8338-601e5166cd80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3e8df0a-61a6-4f59-8338-601e5166cd80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17d2b959-310e-4ebe-8ab8-6d5107d02460' class='xr-var-data-in' type='checkbox'><label for='data-17d2b959-310e-4ebe-8ab8-6d5107d02460' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.18121431e-16, 1.18156702e-16, 1.18178513e-16, ...,\n",
+       "          1.04770912e-08, 2.72472676e-08, 1.95127168e-08],\n",
+       "         [1.18155127e-16, 1.18178288e-16, 1.18186282e-16, ...,\n",
+       "          5.45349721e-09, 2.98070262e-08, 1.35479250e-09],\n",
+       "         [1.18177269e-16, 1.18173206e-16, 1.18185276e-16, ...,\n",
+       "          1.81727744e-10, 3.13964232e-09, 1.11074105e-09],\n",
+       "         ...,\n",
+       "         [1.22529483e-16, 1.22588127e-16, 1.22669058e-16, ...,\n",
+       "          5.84613153e-05, 3.89660636e-05, 5.97584631e-08],\n",
+       "         [1.22585626e-16, 1.22653931e-16, 5.38489653e-09, ...,\n",
+       "          2.29423531e-05, 2.14939628e-05, 6.39066471e-08],\n",
+       "         [1.22631260e-16, 1.22713157e-16, 4.81879292e-09, ...,\n",
+       "          1.82539534e-05, 1.49629823e-05, 2.08875772e-05]],\n",
+       "\n",
+       "        [[1.17931100e-16, 1.17964095e-16, 1.17980850e-16, ...,\n",
+       "          9.88768978e-09, 2.50257273e-08, 1.91112477e-08],\n",
+       "         [1.17967231e-16, 1.17992510e-16, 1.18003998e-16, ...,\n",
+       "          6.08784934e-09, 2.67375544e-08, 1.54557167e-09],\n",
+       "         [1.17991795e-16, 1.17982915e-16, 1.17995435e-16, ...,\n",
+       "          1.88910068e-10, 2.61238831e-09, 1.26895550e-09],\n",
+       "...\n",
+       "          3.17583525e-13, 3.16277386e-13, 3.14868926e-13],\n",
+       "         [3.97675138e-13, 4.01407179e-13, 4.02284949e-13, ...,\n",
+       "          2.95533482e-13, 2.95916774e-13, 2.94772670e-13],\n",
+       "         [3.98224991e-13, 3.97335837e-13, 4.00845860e-13, ...,\n",
+       "          2.89584518e-13, 2.89518057e-13, 2.91546762e-13]],\n",
+       "\n",
+       "        [[4.06569581e-13, 4.05444423e-13, 4.04033225e-13, ...,\n",
+       "          6.11773273e-13, 6.10322502e-13, 6.09457417e-13],\n",
+       "         [4.05751821e-13, 4.03702327e-13, 4.01246988e-13, ...,\n",
+       "          6.09123483e-13, 6.06685600e-13, 6.06862976e-13],\n",
+       "         [4.05397287e-13, 4.02964093e-13, 4.01367009e-13, ...,\n",
+       "          6.07941377e-13, 6.05108737e-13, 6.05198834e-13],\n",
+       "         ...,\n",
+       "         [3.39534878e-13, 3.39619825e-13, 3.43898114e-13, ...,\n",
+       "          3.04006467e-13, 3.08844638e-13, 3.08695831e-13],\n",
+       "         [3.40479625e-13, 3.45139444e-13, 3.43838619e-13, ...,\n",
+       "          2.94066177e-13, 2.98689838e-13, 2.97745417e-13],\n",
+       "         [3.42895607e-13, 3.42137831e-13, 3.42104112e-13, ...,\n",
+       "          2.89808813e-13, 2.94289956e-13, 2.95938160e-13]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>no3ai</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.181e-16 1.182e-16 ... 9.374e-05</div><input id='attrs-5780b4a4-5f4f-414c-928f-415b1190a6a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5780b4a4-5f4f-414c-928f-415b1190a6a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6163e981-6ce5-4a15-be72-1bb98b003910' class='xr-var-data-in' type='checkbox'><label for='data-6163e981-6ce5-4a15-be72-1bb98b003910' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.18121431e-16, 1.18156702e-16, 1.18178513e-16, ...,\n",
+       "          1.65675251e-11, 7.46850568e-11, 6.33889052e-11],\n",
+       "         [1.18155127e-16, 1.18178288e-16, 1.18186282e-16, ...,\n",
+       "          1.38934532e-11, 7.13089310e-11, 9.75938011e-11],\n",
+       "         [1.18177269e-16, 1.18173206e-16, 1.18185276e-16, ...,\n",
+       "          6.55443321e-12, 4.97365343e-11, 9.08146336e-11],\n",
+       "         ...,\n",
+       "         [1.29347811e-07, 1.32013881e-07, 1.71169006e-07, ...,\n",
+       "          4.64808494e-08, 6.23983638e-08, 9.05161457e-08],\n",
+       "         [1.34798910e-07, 1.36922196e-07, 1.65759630e-07, ...,\n",
+       "          5.89911053e-08, 7.02781264e-08, 9.87493252e-08],\n",
+       "         [1.49259591e-07, 1.65279957e-07, 2.00238475e-07, ...,\n",
+       "          5.45475984e-08, 8.23760757e-08, 8.36881142e-08]],\n",
+       "\n",
+       "        [[1.17931100e-16, 1.17964095e-16, 1.17980850e-16, ...,\n",
+       "          2.03999127e-11, 7.79117743e-11, 6.59833785e-11],\n",
+       "         [1.17967231e-16, 1.17992510e-16, 1.18003998e-16, ...,\n",
+       "          1.57337390e-11, 7.51092660e-11, 1.02757670e-10],\n",
+       "         [1.17991795e-16, 1.17982915e-16, 1.17995435e-16, ...,\n",
+       "          7.23862203e-12, 5.19257762e-11, 9.56624294e-11],\n",
+       "...\n",
+       "          9.50546528e-05, 9.45878419e-05, 9.45564752e-05],\n",
+       "         [9.99811527e-05, 9.99288168e-05, 9.97971147e-05, ...,\n",
+       "          9.14005650e-05, 9.17496582e-05, 9.17269135e-05],\n",
+       "         [9.98852120e-05, 9.98717587e-05, 9.97781099e-05, ...,\n",
+       "          9.12873584e-05, 9.16291174e-05, 9.16673598e-05]],\n",
+       "\n",
+       "        [[9.99803669e-05, 9.99803669e-05, 9.99803597e-05, ...,\n",
+       "          9.99476251e-05, 9.99760450e-05, 9.99672338e-05],\n",
+       "         [1.00038189e-04, 1.00016543e-04, 1.00022698e-04, ...,\n",
+       "          9.99189433e-05, 9.99363765e-05, 9.99809854e-05],\n",
+       "         [1.00050827e-04, 1.00023943e-04, 1.00017256e-04, ...,\n",
+       "          9.98631949e-05, 9.99115655e-05, 9.99810145e-05],\n",
+       "         ...,\n",
+       "         [9.99811964e-05, 9.99457552e-05, 9.99811164e-05, ...,\n",
+       "          9.43344930e-05, 9.40987884e-05, 9.41019971e-05],\n",
+       "         [9.99811818e-05, 9.99839685e-05, 9.99462791e-05, ...,\n",
+       "          9.33899864e-05, 9.37857403e-05, 9.37733566e-05],\n",
+       "         [9.99473486e-05, 9.99344775e-05, 9.99191034e-05, ...,\n",
+       "          9.33120173e-05, 9.37039222e-05, 9.37371951e-05]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bsoa3i</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.181e-16 1.182e-16 ... 1.553e-14</div><input id='attrs-ced112e5-342e-4753-b800-bef3ecce8591' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ced112e5-342e-4753-b800-bef3ecce8591' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34ed3a14-239e-4ef9-a39b-06c637212aa0' class='xr-var-data-in' type='checkbox'><label for='data-34ed3a14-239e-4ef9-a39b-06c637212aa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.18121431e-16, 1.18156702e-16, 1.18178513e-16, ...,\n",
+       "          7.42542083e-10, 9.12424580e-10, 5.63654734e-10],\n",
+       "         [1.18155127e-16, 1.18178288e-16, 1.18186282e-16, ...,\n",
+       "          1.58373245e-10, 8.60219618e-10, 3.93722416e-11],\n",
+       "         [1.18177269e-16, 1.18173206e-16, 1.18185276e-16, ...,\n",
+       "          5.31128613e-12, 9.01382996e-11, 3.20932309e-11],\n",
+       "         ...,\n",
+       "         [1.22529483e-16, 1.22588127e-16, 6.92903734e-10, ...,\n",
+       "          8.46537841e-06, 5.55951601e-06, 8.44507575e-09],\n",
+       "         [1.22585626e-16, 1.22653931e-16, 1.45765811e-09, ...,\n",
+       "          3.34269043e-06, 3.04397236e-06, 9.08932041e-09],\n",
+       "         [1.22631260e-16, 1.22713157e-16, 1.39963019e-09, ...,\n",
+       "          2.64735604e-06, 2.12281566e-06, 2.95782661e-06]],\n",
+       "\n",
+       "        [[1.17931100e-16, 1.17964095e-16, 1.17980850e-16, ...,\n",
+       "          4.98884933e-10, 7.77876652e-10, 5.51985069e-10],\n",
+       "         [1.17967231e-16, 1.17992510e-16, 1.18003998e-16, ...,\n",
+       "          1.76393636e-10, 7.71738284e-10, 4.49055966e-11],\n",
+       "         [1.17991795e-16, 1.17982915e-16, 1.17995435e-16, ...,\n",
+       "          5.54194364e-12, 7.49205975e-11, 3.66559769e-11],\n",
+       "...\n",
+       "          1.64942336e-14, 1.65226092e-14, 1.64501964e-14],\n",
+       "         [2.53838817e-14, 2.56858167e-14, 2.57091135e-14, ...,\n",
+       "          1.52718041e-14, 1.53308728e-14, 1.52730527e-14],\n",
+       "         [2.54858695e-14, 2.54293114e-14, 2.56152470e-14, ...,\n",
+       "          1.49720256e-14, 1.50063305e-14, 1.51100429e-14]],\n",
+       "\n",
+       "        [[2.40518377e-14, 2.39665228e-14, 2.37958609e-14, ...,\n",
+       "          4.31269468e-14, 4.30935263e-14, 4.30275085e-14],\n",
+       "         [2.37742785e-14, 2.36582773e-14, 2.34008115e-14, ...,\n",
+       "          4.29501778e-14, 4.28368956e-14, 4.29566627e-14],\n",
+       "         [2.36072877e-14, 2.34658789e-14, 2.33195811e-14, ...,\n",
+       "          4.29395086e-14, 4.27957264e-14, 4.29094965e-14],\n",
+       "         ...,\n",
+       "         [2.18181203e-14, 2.18338497e-14, 2.19910776e-14, ...,\n",
+       "          1.60214859e-14, 1.62385313e-14, 1.62319007e-14],\n",
+       "         [2.18483899e-14, 2.17332561e-14, 2.19107755e-14, ...,\n",
+       "          1.53302935e-14, 1.56758372e-14, 1.56274055e-14],\n",
+       "         [2.15879526e-14, 2.15417267e-14, 2.17959009e-14, ...,\n",
+       "          1.51136512e-14, 1.54501012e-14, 1.55346707e-14]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ecj</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01113 0.01113 ... 1.011e-12</div><input id='attrs-2b1b518a-a84a-45f8-8a71-a4682c541323' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b1b518a-a84a-45f8-8a71-a4682c541323' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac814986-e2d8-43e5-be88-4e2ffd1a6c11' class='xr-var-data-in' type='checkbox'><label for='data-ac814986-e2d8-43e5-be88-4e2ffd1a6c11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.11275641e-02, 1.11325281e-02, 1.17978370e-02, ...,\n",
+       "          1.73147433e-04, 2.00162976e-04, 1.91354819e-04],\n",
+       "         [1.11306962e-02, 1.11279683e-02, 1.17820231e-02, ...,\n",
+       "          1.70154075e-04, 2.42395559e-04, 1.16734071e-16],\n",
+       "         [1.14368899e-02, 1.14318179e-02, 1.22618387e-02, ...,\n",
+       "          2.64336268e-05, 6.52555827e-05, 1.16746948e-16],\n",
+       "         ...,\n",
+       "         [5.32607595e-03, 5.35478257e-03, 7.03477487e-03, ...,\n",
+       "          8.61222763e-03, 4.99146990e-03, 1.37699102e-16],\n",
+       "         [6.52478915e-03, 6.69798488e-03, 7.92532787e-03, ...,\n",
+       "          4.26735217e-03, 3.05668777e-03, 1.38047272e-16],\n",
+       "         [6.42222539e-03, 6.45880355e-03, 7.77959544e-03, ...,\n",
+       "          3.79386474e-03, 2.46002828e-03, 2.86725047e-03]],\n",
+       "\n",
+       "        [[1.11200688e-02, 1.11252265e-02, 1.17884660e-02, ...,\n",
+       "          1.62661978e-04, 1.65168341e-04, 1.63162316e-04],\n",
+       "         [1.11235240e-02, 1.11239441e-02, 1.17810573e-02, ...,\n",
+       "          1.59965493e-04, 1.84562843e-04, 1.16509541e-16],\n",
+       "         [1.14278272e-02, 1.14253536e-02, 1.22580118e-02, ...,\n",
+       "          2.54503429e-05, 4.96966204e-05, 1.16520764e-16],\n",
+       "...\n",
+       "          4.05578315e-14, 2.41089277e-14, 2.41009334e-14],\n",
+       "         [9.99817640e-17, 9.99816515e-17, 1.16779784e-16, ...,\n",
+       "          1.45638913e-14, 9.85713332e-15, 9.85468963e-15],\n",
+       "         [9.99816383e-17, 9.99816383e-17, 1.16757549e-16, ...,\n",
+       "          1.45458495e-14, 9.84418218e-15, 9.84829199e-15]],\n",
+       "\n",
+       "        [[9.99809302e-17, 9.99809302e-17, 9.99809170e-17, ...,\n",
+       "          1.00584547e-16, 9.99815456e-17, 9.99815522e-17],\n",
+       "         [1.00008975e-16, 9.99873293e-17, 9.99819691e-17, ...,\n",
+       "          1.00555688e-16, 9.99814331e-17, 9.99815456e-17],\n",
+       "         [1.00019563e-16, 9.99926828e-17, 9.99977451e-17, ...,\n",
+       "          1.00550699e-16, 9.99813206e-17, 9.99815655e-17],\n",
+       "         ...,\n",
+       "         [9.99817574e-17, 9.99816383e-17, 1.01952227e-16, ...,\n",
+       "          5.22102342e-15, 1.35908960e-12, 1.35913579e-12],\n",
+       "         [9.99817442e-17, 9.99817442e-17, 1.13079970e-16, ...,\n",
+       "          2.61373259e-14, 1.01139464e-12, 1.01126106e-12],\n",
+       "         [9.99817309e-17, 9.99816118e-17, 1.13049213e-16, ...,\n",
+       "          2.61155047e-14, 1.01051231e-12, 1.01087107e-12]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>asoa4i</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.371e-11 1.35e-11 ... 2.037e-16</div><input id='attrs-9ef9eaca-2fe9-422d-a7ae-3c71e8a5e6a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ef9eaca-2fe9-422d-a7ae-3c71e8a5e6a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c70c52a-669f-49f5-9a81-11e63e667244' class='xr-var-data-in' type='checkbox'><label for='data-5c70c52a-669f-49f5-9a81-11e63e667244' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.37077086e-11, 1.34997291e-11, 2.93988271e-11, ...,\n",
+       "          5.09111908e-09, 1.47283492e-08, 1.06463576e-08],\n",
+       "         [1.41837479e-11, 1.43183000e-11, 2.87286826e-11, ...,\n",
+       "          2.94625679e-09, 1.62881069e-08, 7.63601016e-10],\n",
+       "         [1.18177269e-16, 1.18173206e-16, 1.18185276e-16, ...,\n",
+       "          1.30510533e-10, 2.14691265e-09, 7.49336426e-10],\n",
+       "         ...,\n",
+       "         [1.22529483e-16, 1.22588127e-16, 1.22669058e-16, ...,\n",
+       "          8.93259426e-07, 6.42250598e-07, 1.05454090e-09],\n",
+       "         [1.22585626e-16, 1.22653931e-16, 1.22776446e-16, ...,\n",
+       "          3.64911699e-07, 3.55004715e-07, 1.07602161e-09],\n",
+       "         [1.22631260e-16, 1.22713157e-16, 1.22775560e-16, ...,\n",
+       "          2.89414487e-07, 2.45042486e-07, 3.45403208e-07]],\n",
+       "\n",
+       "        [[2.18331291e-11, 2.19401806e-11, 4.15833895e-11, ...,\n",
+       "          5.05148723e-09, 1.35750993e-08, 1.04104032e-08],\n",
+       "         [2.23057961e-11, 2.38942338e-11, 4.08720870e-11, ...,\n",
+       "          3.27975425e-09, 1.45847565e-08, 8.68875583e-10],\n",
+       "         [1.17991795e-16, 1.62790706e-13, 9.83482067e-13, ...,\n",
+       "          1.34318889e-10, 1.79459159e-09, 8.53792981e-10],\n",
+       "...\n",
+       "          1.97587124e-16, 1.97601074e-16, 1.96965283e-16],\n",
+       "         [3.07949310e-16, 2.78957252e-16, 2.84604764e-16, ...,\n",
+       "          1.84452383e-16, 1.85382015e-16, 1.84875264e-16],\n",
+       "         [2.76961960e-16, 2.76397359e-16, 2.83667628e-16, ...,\n",
+       "          1.81826025e-16, 1.82542059e-16, 1.83449456e-16]],\n",
+       "\n",
+       "        [[2.95733242e-16, 2.94870724e-16, 2.93603907e-16, ...,\n",
+       "          4.72195722e-16, 4.71441121e-16, 4.70800606e-16],\n",
+       "         [2.94050055e-16, 2.92879667e-16, 2.90901290e-16, ...,\n",
+       "          4.70478204e-16, 4.68948409e-16, 4.70054475e-16],\n",
+       "         [2.92893908e-16, 2.91463031e-16, 2.90820689e-16, ...,\n",
+       "          4.70769583e-16, 4.68517534e-16, 4.69600042e-16],\n",
+       "         ...,\n",
+       "         [2.76191477e-16, 2.37480722e-16, 2.49460944e-16, ...,\n",
+       "          2.09689226e-16, 2.09516485e-16, 2.09456901e-16],\n",
+       "         [2.76522217e-16, 2.34318165e-16, 2.48392041e-16, ...,\n",
+       "          1.99382609e-16, 2.05082757e-16, 2.04627040e-16],\n",
+       "         [2.32850813e-16, 2.32383833e-16, 2.47228959e-16, ...,\n",
+       "          1.97366366e-16, 2.02943244e-16, 2.03746483e-16]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orgpaj</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01205 0.01205 ... 5.047e-12</div><input id='attrs-d661cd77-34f8-465e-91b8-8f3c9b34ac78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d661cd77-34f8-465e-91b8-8f3c9b34ac78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fa35885-70b8-430c-85ee-6f03418bd130' class='xr-var-data-in' type='checkbox'><label for='data-9fa35885-70b8-430c-85ee-6f03418bd130' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.20468009e-02, 1.20505858e-02, 1.26520414e-02, ...,\n",
+       "          1.87387239e-04, 1.27506893e-04, 1.10459514e-04],\n",
+       "         [1.20502049e-02, 1.20472293e-02, 1.26434397e-02, ...,\n",
+       "          1.22149751e-04, 1.41065815e-04, 1.16734071e-16],\n",
+       "         [1.22580910e-02, 1.22526474e-02, 1.30568612e-02, ...,\n",
+       "          1.27885341e-05, 3.36620215e-05, 1.16746948e-16],\n",
+       "         ...,\n",
+       "         [2.66283751e-03, 2.67718988e-03, 3.51712084e-03, ...,\n",
+       "          4.30608541e-03, 2.49570142e-03, 1.37699102e-16],\n",
+       "         [3.26214544e-03, 3.34873726e-03, 3.96236172e-03, ...,\n",
+       "          2.13406514e-03, 1.52822549e-03, 1.38047272e-16],\n",
+       "         [3.21086822e-03, 3.22915521e-03, 3.88950156e-03, ...,\n",
+       "          1.89719221e-03, 1.22990820e-03, 1.43350777e-03]],\n",
+       "\n",
+       "        [[1.20385140e-02, 1.20428400e-02, 1.26443217e-02, ...,\n",
+       "          1.43787620e-04, 1.00673074e-04, 9.36623910e-05],\n",
+       "         [1.20422738e-02, 1.20426705e-02, 1.26422783e-02, ...,\n",
+       "          1.10086963e-04, 1.06500767e-04, 1.16509541e-16],\n",
+       "         [1.22490935e-02, 1.22470381e-02, 1.30536407e-02, ...,\n",
+       "          1.22969996e-05, 2.56008661e-05, 1.16520764e-16],\n",
+       "...\n",
+       "          1.79888277e-13, 9.48170714e-14, 9.47856092e-14],\n",
+       "         [9.99817640e-17, 9.99816515e-17, 1.16782060e-16, ...,\n",
+       "          5.87665767e-14, 3.17588431e-14, 3.17509758e-14],\n",
+       "         [9.99816383e-17, 9.99816383e-17, 1.16759799e-16, ...,\n",
+       "          5.86937861e-14, 3.17171148e-14, 3.17303489e-14]],\n",
+       "\n",
+       "        [[9.99809302e-17, 9.99809302e-17, 9.99809170e-17, ...,\n",
+       "          1.00587042e-16, 9.99815456e-17, 9.99815522e-17],\n",
+       "         [1.00008975e-16, 9.99873293e-17, 9.99819691e-17, ...,\n",
+       "          1.00558170e-16, 9.99814331e-17, 9.99815456e-17],\n",
+       "         [1.00019622e-16, 9.99927423e-17, 9.99982679e-17, ...,\n",
+       "          1.00553247e-16, 9.99813206e-17, 9.99815655e-17],\n",
+       "         ...,\n",
+       "         [9.99817574e-17, 9.99816383e-17, 1.01958415e-16, ...,\n",
+       "          1.59583870e-14, 6.71439380e-12, 6.71462278e-12],\n",
+       "         [9.99817442e-17, 9.99817442e-17, 1.12960102e-16, ...,\n",
+       "          1.42566121e-13, 5.04997650e-12, 5.04931036e-12],\n",
+       "         [9.99817309e-17, 9.99816118e-17, 1.12929397e-16, ...,\n",
+       "          1.42447089e-13, 5.04557203e-12, 5.04736314e-12]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>asoa3i</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.758e-09 1.748e-09 ... 5.474e-15</div><input id='attrs-668243b6-0852-4911-aca0-c76435332c45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-668243b6-0852-4911-aca0-c76435332c45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1baf54d-ebd5-4f22-a8de-c2c29894fd85' class='xr-var-data-in' type='checkbox'><label for='data-c1baf54d-ebd5-4f22-a8de-c2c29894fd85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.75848591e-09, 1.74816395e-09, 2.81223600e-09, ...,\n",
+       "          5.15640011e-08, 1.46488333e-07, 1.05950242e-07],\n",
+       "         [1.77138348e-09, 1.76863590e-09, 2.76608314e-09, ...,\n",
+       "          2.97404217e-08, 1.61938914e-07, 7.35261807e-09],\n",
+       "         [1.49560461e-10, 1.28093092e-10, 1.32344885e-10, ...,\n",
+       "          1.18477472e-09, 2.06386623e-08, 7.16651405e-09],\n",
+       "         ...,\n",
+       "         [1.22529483e-16, 1.22588127e-16, 1.22669058e-16, ...,\n",
+       "          4.70588657e-06, 3.33441722e-06, 5.36764722e-09],\n",
+       "         [1.22585626e-16, 1.22653931e-16, 1.22776446e-16, ...,\n",
+       "          1.93590449e-06, 1.83957025e-06, 5.46456880e-09],\n",
+       "         [1.22631260e-16, 1.22713157e-16, 1.22775560e-16, ...,\n",
+       "          1.54724921e-06, 1.28555610e-06, 1.78991775e-06]],\n",
+       "\n",
+       "        [[2.04193795e-09, 2.04161688e-09, 3.24200067e-09, ...,\n",
+       "          5.11039353e-08, 1.35113979e-07, 1.03658337e-07],\n",
+       "         [2.05372697e-09, 2.10739692e-09, 3.18603077e-09, ...,\n",
+       "          3.30796652e-08, 1.45100969e-07, 8.38199377e-09],\n",
+       "         [3.67838066e-10, 3.90059790e-10, 4.56530619e-10, ...,\n",
+       "          1.21275034e-09, 1.72049468e-08, 8.18110646e-09],\n",
+       "...\n",
+       "          5.55526686e-15, 5.56758441e-15, 5.54322078e-15],\n",
+       "         [8.52318263e-15, 8.68342179e-15, 8.69136018e-15, ...,\n",
+       "          5.15764545e-15, 5.17928291e-15, 5.15983418e-15],\n",
+       "         [8.61653583e-15, 8.59761481e-15, 8.65996999e-15, ...,\n",
+       "          5.05693916e-15, 5.07012619e-15, 5.10501040e-15]],\n",
+       "\n",
+       "        [[8.39383393e-15, 8.36655269e-15, 8.31836160e-15, ...,\n",
+       "          1.40838125e-14, 1.40712256e-14, 1.40497253e-14],\n",
+       "         [8.32159303e-15, 8.28116245e-15, 8.20688529e-15, ...,\n",
+       "          1.40262388e-14, 1.39876454e-14, 1.40270443e-14],\n",
+       "         [8.27915837e-15, 8.22978059e-15, 8.18961767e-15, ...,\n",
+       "          1.40191610e-14, 1.39716602e-14, 1.40096124e-14],\n",
+       "         ...,\n",
+       "         [7.37586888e-15, 7.30190173e-15, 7.42377876e-15, ...,\n",
+       "          5.62986081e-15, 5.73240262e-15, 5.73006142e-15],\n",
+       "         [7.38754777e-15, 7.25714112e-15, 7.39818566e-15, ...,\n",
+       "          5.36066061e-15, 5.52403421e-15, 5.50697624e-15],\n",
+       "         [7.20828511e-15, 7.19274375e-15, 7.35954487e-15, ...,\n",
+       "          5.28498881e-15, 5.44453381e-15, 5.47431846e-15]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_model</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.007e+05 1.007e+05 ... 5.584e+03</div><input id='attrs-91a21781-03da-4d69-80b7-a06647f8df3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91a21781-03da-4d69-80b7-a06647f8df3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eadd4ee6-d973-4ce8-a0c9-888db69f6799' class='xr-var-data-in' type='checkbox'><label for='data-eadd4ee6-d973-4ce8-a0c9-888db69f6799' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XYZ</dd><dt><span>description :</span></dt><dd>pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>coordinates :</span></dt><dd>XLONG XLAT XTIME</dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-97.0, moad_cen_lat=39.617637634277344, truelat1=33.0, truelat2=45.0, pole_lat=90.0, pole_lon=0.0)</dd><dt><span>TRUELAT1 :</span></dt><dd>33.0</dd><dt><span>TRUELAT2 :</span></dt><dd>45.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>STAND_LON :</span></dt><dd>-97.0</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>CEN_LON :</span></dt><dd>-97.77487</dd></dl></div><div class='xr-var-data'><pre>array([[[[100695.47  , 100689.26  , 100682.42  , ..., 101406.11  ,\n",
+       "          101405.414 , 101404.5   ],\n",
+       "         [100701.8   , 100695.72  , 100688.96  , ..., 101413.66  ,\n",
+       "          101412.93  , 101412.46  ],\n",
+       "         [100708.14  , 100701.734 , 100695.56  , ..., 101421.39  ,\n",
+       "          101420.98  , 101420.76  ],\n",
+       "         ...,\n",
+       "         [101906.36  , 101913.96  , 101921.    , ..., 100865.484 ,\n",
+       "          100891.89  , 100919.57  ],\n",
+       "         [101907.18  , 101914.93  , 101922.52  , ..., 100859.25  ,\n",
+       "          100901.984 , 100931.55  ],\n",
+       "         [101907.97  , 101916.08  , 101923.12  , ..., 100739.65  ,\n",
+       "          100836.24  , 100902.734 ]],\n",
+       "\n",
+       "        [[100423.98  , 100417.74  , 100410.984 , ..., 101131.2   ,\n",
+       "          101130.57  , 101129.71  ],\n",
+       "         [100430.3   , 100424.195 , 100417.49  , ..., 101138.75  ,\n",
+       "          101138.07  , 101137.6   ],\n",
+       "         [100436.58  , 100430.266 , 100424.15  , ..., 101146.55  ,\n",
+       "          101146.09  , 101145.89  ],\n",
+       "...\n",
+       "         [  6809.747 ,   6809.615 ,   6809.5645, ...,   6810.289 ,\n",
+       "            6810.175 ,   6809.7515],\n",
+       "         [  6809.7515,   6809.456 ,   6809.489 , ...,   6810.19  ,\n",
+       "            6809.901 ,   6809.758 ],\n",
+       "         [  6809.7456,   6809.7515,   6809.747 , ...,   6809.7524,\n",
+       "            6809.751 ,   6809.7554]],\n",
+       "\n",
+       "        [[  5584.2515,   5584.247 ,   5584.246 , ...,   5584.248 ,\n",
+       "            5584.2515,   5584.247 ],\n",
+       "         [  5584.246 ,   5584.633 ,   5585.0054, ...,   5583.936 ,\n",
+       "            5583.914 ,   5584.245 ],\n",
+       "         [  5584.2544,   5584.7065,   5584.9233, ...,   5583.509 ,\n",
+       "            5583.6606,   5584.246 ],\n",
+       "         ...,\n",
+       "         [  5584.2544,   5583.984 ,   5584.089 , ...,   5583.7695,\n",
+       "            5583.8877,   5584.2495],\n",
+       "         [  5584.2524,   5584.0435,   5583.96  , ...,   5583.7227,\n",
+       "            5583.842 ,   5584.249 ],\n",
+       "         [  5584.2524,   5584.2495,   5584.2495, ...,   5584.246 ,\n",
+       "            5584.2534,   5584.2544]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>alt_msl_m_mid</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>11.4 11.39 ... 2.016e+04 2.016e+04</div><input id='attrs-f7ddafe3-62ce-4bfb-b0d9-c8bff712ed1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7ddafe3-62ce-4bfb-b0d9-c8bff712ed1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a296602f-4e74-4fdb-92a0-221de81abe8a' class='xr-var-data-in' type='checkbox'><label for='data-a296602f-4e74-4fdb-92a0-221de81abe8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XYZ</dd><dt><span>description :</span></dt><dd>model height - [MSL] (mass grid)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>coordinates :</span></dt><dd>XLONG XLAT XTIME</dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-97.0, moad_cen_lat=39.617637634277344, truelat1=33.0, truelat2=45.0, pole_lat=90.0, pole_lon=0.0)</dd><dt><span>TRUELAT1 :</span></dt><dd>33.0</dd><dt><span>TRUELAT2 :</span></dt><dd>45.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>STAND_LON :</span></dt><dd>-97.0</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>CEN_LON :</span></dt><dd>-97.77487</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.13956261e+01, 1.13915205e+01, 1.13885164e+01, ...,\n",
+       "          1.17076454e+01, 1.17046232e+01, 1.17031908e+01],\n",
+       "         [1.13917227e+01, 1.13889999e+01, 1.13874235e+01, ...,\n",
+       "          1.17069454e+01, 1.17042618e+01, 1.17041187e+01],\n",
+       "         [1.13890944e+01, 1.13880882e+01, 1.13865299e+01, ...,\n",
+       "          1.17068577e+01, 1.17055378e+01, 1.17033911e+01],\n",
+       "         ...,\n",
+       "         [1.10290060e+01, 1.10270195e+01, 1.10245380e+01, ...,\n",
+       "          9.21303368e+00, 9.13495445e+00, 9.13425636e+00],\n",
+       "         [1.10262518e+01, 1.10237560e+01, 1.10156584e+01, ...,\n",
+       "          1.10823402e+01, 9.57869911e+00, 9.21612263e+00],\n",
+       "         [1.10237846e+01, 1.10201750e+01, 1.10143795e+01, ...,\n",
+       "          2.27575455e+01, 1.69050579e+01, 1.31301870e+01]],\n",
+       "\n",
+       "        [[3.50668907e+01, 3.50537491e+01, 3.50467453e+01, ...,\n",
+       "          3.60334091e+01, 3.60235062e+01, 3.60189362e+01],\n",
+       "         [3.50553055e+01, 3.50460167e+01, 3.50400810e+01, ...,\n",
+       "          3.60306015e+01, 3.60224533e+01, 3.60222549e+01],\n",
+       "         [3.50468102e+01, 3.50438957e+01, 3.50388527e+01, ...,\n",
+       "          3.60302315e+01, 3.60265198e+01, 3.60199242e+01],\n",
+       "...\n",
+       "          1.88702012e+04, 1.88717520e+04, 1.88734863e+04],\n",
+       "         [1.89748027e+04, 1.89757480e+04, 1.89756777e+04, ...,\n",
+       "          1.88703477e+04, 1.88720566e+04, 1.88730840e+04],\n",
+       "         [1.89753691e+04, 1.89756230e+04, 1.89752539e+04, ...,\n",
+       "          1.88703164e+04, 1.88720098e+04, 1.88726465e+04]],\n",
+       "\n",
+       "        [[2.01392070e+04, 2.01399590e+04, 2.01408359e+04, ...,\n",
+       "          2.01314082e+04, 2.01314316e+04, 2.01312148e+04],\n",
+       "         [2.01406582e+04, 2.01415586e+04, 2.01423125e+04, ...,\n",
+       "          2.01325215e+04, 2.01324219e+04, 2.01315605e+04],\n",
+       "         [2.01414531e+04, 2.01429160e+04, 2.01440371e+04, ...,\n",
+       "          2.01335625e+04, 2.01333125e+04, 2.01322051e+04],\n",
+       "         ...,\n",
+       "         [2.02459512e+04, 2.02457500e+04, 2.02453418e+04, ...,\n",
+       "          2.01555137e+04, 2.01574668e+04, 2.01593828e+04],\n",
+       "         [2.02446172e+04, 2.02455488e+04, 2.02454434e+04, ...,\n",
+       "          2.01569785e+04, 2.01590039e+04, 2.01602695e+04],\n",
+       "         [2.02456758e+04, 2.02460977e+04, 2.02453164e+04, ...,\n",
+       "          2.01582695e+04, 2.01603496e+04, 2.01604922e+04]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_model</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>297.0 296.9 296.8 ... 220.5 220.4</div><input id='attrs-ca920e25-b422-4f2e-b256-11fd50d6704b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca920e25-b422-4f2e-b256-11fd50d6704b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6401403-1b85-45c1-8f92-324c2a31fc48' class='xr-var-data-in' type='checkbox'><label for='data-f6401403-1b85-45c1-8f92-324c2a31fc48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XYZ</dd><dt><span>description :</span></dt><dd>temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>coordinates :</span></dt><dd>XLONG XLAT XTIME</dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-97.0, moad_cen_lat=39.617637634277344, truelat1=33.0, truelat2=45.0, pole_lat=90.0, pole_lon=0.0)</dd><dt><span>TRUELAT1 :</span></dt><dd>33.0</dd><dt><span>TRUELAT2 :</span></dt><dd>45.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>STAND_LON :</span></dt><dd>-97.0</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>CEN_LON :</span></dt><dd>-97.77487</dd></dl></div><div class='xr-var-data'><pre>array([[[[296.97205, 296.86508, 296.79016, ..., 302.5541 , 302.55164,\n",
+       "          302.62527],\n",
+       "         [296.906  , 296.82993, 296.78992, ..., 302.6153 , 302.60834,\n",
+       "          302.6495 ],\n",
+       "         [296.86908, 296.8604 , 296.8119 , ..., 302.65732, 302.64978,\n",
+       "          302.64087],\n",
+       "         ...,\n",
+       "         [289.73105, 289.61404, 289.44296, ..., 286.38535, 286.66254,\n",
+       "          286.83255],\n",
+       "         [289.60068, 289.46143, 289.1941 , ..., 285.8716 , 286.03766,\n",
+       "          286.4102 ],\n",
+       "         [289.49515, 289.32498, 289.1979 , ..., 286.1651 , 285.74582,\n",
+       "          285.8759 ]],\n",
+       "\n",
+       "        [[296.64935, 296.54797, 296.4859 , ..., 302.31732, 302.31705,\n",
+       "          302.38876],\n",
+       "         [296.57715, 296.49564, 296.44696, ..., 302.37662, 302.36786,\n",
+       "          302.41095],\n",
+       "         [296.53397, 296.53766, 296.48813, ..., 302.42032, 302.4144 ,\n",
+       "          302.4066 ],\n",
+       "...\n",
+       "         [217.9952 , 217.93852, 217.8611 , ..., 220.48944, 220.55513,\n",
+       "          220.6146 ],\n",
+       "         [217.97198, 217.95184, 217.93994, ..., 220.7582 , 220.81654,\n",
+       "          220.86664],\n",
+       "         [218.05624, 218.08582, 217.98973, ..., 221.01776, 221.10216,\n",
+       "          221.01006]],\n",
+       "\n",
+       "        [[207.38243, 207.39938, 207.4022 , ..., 205.74452, 205.74385,\n",
+       "          205.76181],\n",
+       "         [207.33502, 207.39427, 207.41719, ..., 205.79208, 205.81308,\n",
+       "          205.7903 ],\n",
+       "         [207.32344, 207.39595, 207.42216, ..., 205.82893, 205.85112,\n",
+       "          205.82451],\n",
+       "         ...,\n",
+       "         [217.31105, 217.28731, 217.25253, ..., 220.06215, 220.13676,\n",
+       "          220.14354],\n",
+       "         [217.2861 , 217.28287, 217.28043, ..., 220.24535, 220.292  ,\n",
+       "          220.33716],\n",
+       "         [217.37062, 217.3985 , 217.3508 , ..., 220.45004, 220.50061,\n",
+       "          220.42236]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>alt_agl_m_mid</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>11.41 11.4 ... 2.015e+04 2.016e+04</div><input id='attrs-01857eb0-0247-49c2-80e8-2ee3fa318c9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01857eb0-0247-49c2-80e8-2ee3fa318c9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d0422e6-6480-48c8-9aa8-79ea4d993f1e' class='xr-var-data-in' type='checkbox'><label for='data-8d0422e6-6480-48c8-9aa8-79ea4d993f1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XYZ</dd><dt><span>description :</span></dt><dd>model height - [AGL] (mass grid)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>coordinates :</span></dt><dd>XLONG XLAT XTIME</dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-97.0, moad_cen_lat=39.617637634277344, truelat1=33.0, truelat2=45.0, pole_lat=90.0, pole_lon=0.0)</dd><dt><span>TRUELAT1 :</span></dt><dd>33.0</dd><dt><span>TRUELAT2 :</span></dt><dd>45.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>STAND_LON :</span></dt><dd>-97.0</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>CEN_LON :</span></dt><dd>-97.77487</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.14056015e+01, 1.14014959e+01, 1.13984919e+01, ...,\n",
+       "          1.17176208e+01, 1.17145987e+01, 1.17131662e+01],\n",
+       "         [1.14016981e+01, 1.13989754e+01, 1.13973989e+01, ...,\n",
+       "          1.17169209e+01, 1.17142372e+01, 1.17140942e+01],\n",
+       "         [1.13990698e+01, 1.13980637e+01, 1.13965054e+01, ...,\n",
+       "          1.17168331e+01, 1.17155132e+01, 1.17133665e+01],\n",
+       "         ...,\n",
+       "         [1.10389814e+01, 1.10369949e+01, 1.10345135e+01, ...,\n",
+       "          1.08857241e+01, 1.08972111e+01, 1.09042320e+01],\n",
+       "         [1.10362272e+01, 1.10337315e+01, 1.10256338e+01, ...,\n",
+       "          1.08606272e+01, 1.08685665e+01, 1.08849478e+01],\n",
+       "         [1.10337601e+01, 1.10301504e+01, 1.10243549e+01, ...,\n",
+       "          1.08716812e+01, 1.08541861e+01, 1.08599854e+01]],\n",
+       "\n",
+       "        [[3.50768661e+01, 3.50637245e+01, 3.50567207e+01, ...,\n",
+       "          3.60433846e+01, 3.60334816e+01, 3.60289116e+01],\n",
+       "         [3.50652809e+01, 3.50559921e+01, 3.50500565e+01, ...,\n",
+       "          3.60405769e+01, 3.60324287e+01, 3.60322304e+01],\n",
+       "         [3.50567856e+01, 3.50538712e+01, 3.50488281e+01, ...,\n",
+       "          3.60402069e+01, 3.60364952e+01, 3.60298996e+01],\n",
+       "...\n",
+       "          1.88718730e+04, 1.88735137e+04, 1.88752559e+04],\n",
+       "         [1.89748125e+04, 1.89757578e+04, 1.89756875e+04, ...,\n",
+       "          1.88701250e+04, 1.88733457e+04, 1.88747520e+04],\n",
+       "         [1.89753789e+04, 1.89756328e+04, 1.89752637e+04, ...,\n",
+       "          1.88584297e+04, 1.88659590e+04, 1.88703770e+04]],\n",
+       "\n",
+       "        [[2.01392168e+04, 2.01399688e+04, 2.01408457e+04, ...,\n",
+       "          2.01314180e+04, 2.01314414e+04, 2.01312246e+04],\n",
+       "         [2.01406680e+04, 2.01415684e+04, 2.01423223e+04, ...,\n",
+       "          2.01325312e+04, 2.01324316e+04, 2.01315703e+04],\n",
+       "         [2.01414629e+04, 2.01429258e+04, 2.01440469e+04, ...,\n",
+       "          2.01335723e+04, 2.01333223e+04, 2.01322148e+04],\n",
+       "         ...,\n",
+       "         [2.02459609e+04, 2.02457598e+04, 2.02453516e+04, ...,\n",
+       "          2.01571855e+04, 2.01592285e+04, 2.01611523e+04],\n",
+       "         [2.02446270e+04, 2.02455586e+04, 2.02454531e+04, ...,\n",
+       "          2.01567559e+04, 2.01602930e+04, 2.01619375e+04],\n",
+       "         [2.02456855e+04, 2.02461074e+04, 2.02453262e+04, ...,\n",
+       "          2.01463828e+04, 2.01542988e+04, 2.01582227e+04]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surfpres_pa</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.008e+05 1.008e+05 ... 1.007e+05</div><input id='attrs-17658b6c-98a2-417c-a102-3c1bbd86cfb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17658b6c-98a2-417c-a102-3c1bbd86cfb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4030ddd1-89d4-4254-970b-a68ac49f74ae' class='xr-var-data-in' type='checkbox'><label for='data-4030ddd1-89d4-4254-970b-a68ac49f74ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>SFC PRESSURE</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>coordinates :</span></dt><dd>XLONG XLAT XTIME</dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-97.0, moad_cen_lat=39.617637634277344, truelat1=33.0, truelat2=45.0, pole_lat=90.0, pole_lon=0.0)</dd><dt><span>TRUELAT1 :</span></dt><dd>33.0</dd><dt><span>TRUELAT2 :</span></dt><dd>45.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>STAND_LON :</span></dt><dd>-97.0</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>CEN_LON :</span></dt><dd>-97.77487</dd></dl></div><div class='xr-var-data'><pre>array([[[100828.64 , 100822.56 , 100815.87 , ..., 101541.86 ,\n",
+       "         101541.15 , 101540.2  ],\n",
+       "        [100834.94 , 100828.94 , 100822.34 , ..., 101549.48 ,\n",
+       "         101548.69 , 101548.14 ],\n",
+       "        [100841.195, 100834.89 , 100828.84 , ..., 101557.27 ,\n",
+       "         101556.72 , 101556.45 ],\n",
+       "        ...,\n",
+       "        [102039.99 , 102047.61 , 102054.68 , ..., 100997.39 ,\n",
+       "         101023.836, 101051.53 ],\n",
+       "        [102040.87 , 102048.61 , 102056.23 , ..., 100991.12 ,\n",
+       "         101033.92 , 101063.555],\n",
+       "        [102041.63 , 102049.77 , 102056.76 , ..., 100871.32 ,\n",
+       "         100968.   , 101034.664]],\n",
+       "\n",
+       "       [[100859.95 , 100853.39 , 100846.39 , ..., 101551.414,\n",
+       "         101550.836, 101549.88 ],\n",
+       "        [100866.39 , 100855.78 , 100848.42 , ..., 101556.125,\n",
+       "         101554.15 , 101557.43 ],\n",
+       "        [100872.8  , 100862.02 , 100854.99 , ..., 101565.13 ,\n",
+       "         101562.805, 101564.945],\n",
+       "...\n",
+       "        [101614.23 , 101637.055, 101654.53 , ..., 100824.   ,\n",
+       "         100817.5  , 100786.3  ],\n",
+       "        [101611.234, 101633.89 , 101651.086, ..., 100772.375,\n",
+       "         100782.3  , 100756.336],\n",
+       "        [101608.266, 101626.84 , 101644.1  , ..., 100578.35 ,\n",
+       "         100643.75 , 100684.01 ]],\n",
+       "\n",
+       "       [[100635.48 , 100589.75 , 100543.39 , ..., 101577.15 ,\n",
+       "         101579.87 , 101582.875],\n",
+       "        [100588.84 , 100528.03 , 100466.58 , ..., 101569.51 ,\n",
+       "         101575.62 , 101587.37 ],\n",
+       "        [100540.85 , 100438.81 , 100362.266, ..., 101571.414,\n",
+       "         101578.26 , 101592.76 ],\n",
+       "        ...,\n",
+       "        [101595.76 , 101619.016, 101636.94 , ..., 100828.66 ,\n",
+       "         100819.836, 100789.13 ],\n",
+       "        [101592.734, 101615.75 , 101633.31 , ..., 100778.52 ,\n",
+       "         100786.13 , 100760.77 ],\n",
+       "        [101589.72 , 101609.125, 101627.086, ..., 100586.22 ,\n",
+       "         100650.766, 100689.89 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oa_tot</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01354 0.01355 ... 4.639e-08</div><input id='attrs-d4078467-0595-4a20-bfa8-36f882a8f7ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4078467-0595-4a20-bfa8-36f882a8f7ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45add8a8-d9d5-4e74-8bf2-1015b1f797bc' class='xr-var-data-in' type='checkbox'><label for='data-45add8a8-d9d5-4e74-8bf2-1015b1f797bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.35421045e-02, 1.35453520e-02, 1.40979998e-02, ...,\n",
+       "          4.54241410e-04, 3.88956658e-04, 3.27841000e-04],\n",
+       "         [1.35492273e-02, 1.35464901e-02, 1.40868453e-02, ...,\n",
+       "          3.05937399e-04, 4.29836771e-04, 1.12261478e-05],\n",
+       "         [1.37912147e-02, 1.37807373e-02, 1.45174284e-02, ...,\n",
+       "          3.04853347e-05, 9.85100123e-05, 1.09237408e-05],\n",
+       "         ...,\n",
+       "         [9.93715879e-03, 1.00099659e-02, 1.10977376e-02, ...,\n",
+       "          6.80708094e-03, 4.09182766e-03, 2.62154958e-06],\n",
+       "         [1.02082947e-02, 1.03019783e-02, 1.03213359e-02, ...,\n",
+       "          3.26307560e-03, 2.45073624e-03, 2.68632812e-06],\n",
+       "         [1.01815686e-02, 1.01803681e-02, 1.02074658e-02, ...,\n",
+       "          2.87128100e-03, 1.92187622e-03, 2.31462321e-03]],\n",
+       "\n",
+       "        [[1.35838045e-02, 1.35897826e-02, 1.41448230e-02, ...,\n",
+       "          3.94846371e-04, 3.38669895e-04, 3.04424320e-04],\n",
+       "         [1.35913994e-02, 1.36011783e-02, 1.41419023e-02, ...,\n",
+       "          3.04516579e-04, 3.61253449e-04, 1.28223628e-05],\n",
+       "         [1.38312178e-02, 1.38340006e-02, 1.45676490e-02, ...,\n",
+       "          3.22965643e-05, 8.20010246e-05, 1.24948956e-05],\n",
+       "...\n",
+       "          6.02701604e-08, 5.97229501e-08, 5.94545781e-08],\n",
+       "         [2.29428707e-08, 2.33394939e-08, 2.36768241e-08, ...,\n",
+       "          5.91696754e-08, 5.88961413e-08, 5.86755426e-08],\n",
+       "         [2.31558825e-08, 2.31039312e-08, 2.35881927e-08, ...,\n",
+       "          5.80339297e-08, 5.76583830e-08, 5.80538355e-08]],\n",
+       "\n",
+       "        [[2.79108843e-08, 2.80181087e-08, 2.84589152e-08, ...,\n",
+       "          2.01835810e-08, 1.98745838e-08, 1.98441512e-08],\n",
+       "         [2.98577056e-08, 2.97118721e-08, 3.02566683e-08, ...,\n",
+       "          2.01006358e-08, 1.97562731e-08, 1.94989109e-08],\n",
+       "         [3.14447739e-08, 3.12562136e-08, 3.15439692e-08, ...,\n",
+       "          2.00518375e-08, 1.97149159e-08, 1.94701766e-08],\n",
+       "         ...,\n",
+       "         [1.99126102e-08, 2.04219646e-08, 2.09228386e-08, ...,\n",
+       "          4.76865019e-08, 4.73493387e-08, 4.73281823e-08],\n",
+       "         [1.99792893e-08, 2.04991260e-08, 2.09679474e-08, ...,\n",
+       "          4.71678945e-08, 4.68450878e-08, 4.66903813e-08],\n",
+       "         [2.03626946e-08, 2.03192858e-08, 2.08563691e-08, ...,\n",
+       "          4.64571848e-08, 4.61247218e-08, 4.63945575e-08]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SO4A</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.7969 0.7971 ... 0.01461 0.01461</div><input id='attrs-ba027b1a-1e85-40c3-acab-2ac1f15eedce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba027b1a-1e85-40c3-acab-2ac1f15eedce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cdc2ccd-3aa0-4136-8a4a-fe2dc3dc50b5' class='xr-var-data-in' type='checkbox'><label for='data-8cdc2ccd-3aa0-4136-8a4a-fe2dc3dc50b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.7969005 , 0.79705393, 0.8321744 , ..., 0.18793435,\n",
+       "          0.18981162, 0.1898135 ],\n",
+       "         [0.7971209 , 0.79691744, 0.8320531 , ..., 0.1890541 ,\n",
+       "          0.18970922, 0.19084282],\n",
+       "         [0.80885154, 0.8084738 , 0.8542647 , ..., 0.1888687 ,\n",
+       "          0.18959586, 0.19085057],\n",
+       "         ...,\n",
+       "         [0.30280554, 0.30295837, 0.30133164, ..., 0.19037588,\n",
+       "          0.19472872, 0.20073341],\n",
+       "         [0.28166932, 0.2817768 , 0.28550977, ..., 0.19155951,\n",
+       "          0.19430538, 0.20110165],\n",
+       "         [0.28176883, 0.2819326 , 0.28556636, ..., 0.3992561 ,\n",
+       "          0.54058194, 0.5428437 ]],\n",
+       "\n",
+       "        [[0.79639906, 0.796605  , 0.8318502 , ..., 0.18887395,\n",
+       "          0.1899865 , 0.18995422],\n",
+       "         [0.79664034, 0.7966774 , 0.8320026 , ..., 0.1892615 ,\n",
+       "          0.18994373, 0.19076413],\n",
+       "         [0.8083492 , 0.8082452 , 0.85413086, ..., 0.18905596,\n",
+       "          0.18977886, 0.19077168],\n",
+       "...\n",
+       "         [0.01802319, 0.0180275 , 0.01803377, ..., 0.01782095,\n",
+       "          0.01781571, 0.0178098 ],\n",
+       "         [0.0180251 , 0.01802599, 0.01802705, ..., 0.01779931,\n",
+       "          0.01779405, 0.01778964],\n",
+       "         [0.01801812, 0.0180157 , 0.01802361, ..., 0.01777726,\n",
+       "          0.01777067, 0.01777809]],\n",
+       "\n",
+       "        [[0.0155361 , 0.01553483, 0.01553462, ..., 0.01565966,\n",
+       "          0.01565965, 0.01565827],\n",
+       "         [0.0155396 , 0.01553624, 0.01553558, ..., 0.01565516,\n",
+       "          0.01565344, 0.01565618],\n",
+       "         [0.01554046, 0.01553628, 0.01553495, ..., 0.01565123,\n",
+       "          0.0156499 , 0.01565358],\n",
+       "         ...,\n",
+       "         [0.01482618, 0.01482712, 0.01482975, ..., 0.01463585,\n",
+       "          0.01462222, 0.01462272],\n",
+       "         [0.01482786, 0.0148276 , 0.01482753, ..., 0.01462652,\n",
+       "          0.01461812, 0.01461619],\n",
+       "         [0.01482217, 0.01482026, 0.0148235 , ..., 0.01461431,\n",
+       "          0.01460536, 0.01461055]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NH4A</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2426 0.2427 ... 0.0001896</div><input id='attrs-4f43264b-ec33-42ba-915d-d26b8ff7856f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f43264b-ec33-42ba-915d-d26b8ff7856f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44152f8b-1bef-45e0-936e-a61e919813e5' class='xr-var-data-in' type='checkbox'><label for='data-44152f8b-1bef-45e0-936e-a61e919813e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.4264522e-01, 2.4269575e-01, 2.4276868e-01, ...,\n",
+       "          4.6997904e-03, 3.1859139e-03, 3.0041621e-03],\n",
+       "         [2.4271472e-01, 2.4265927e-01, 2.4275324e-01, ...,\n",
+       "          3.3082762e-03, 3.0335479e-03, 3.7316114e-03],\n",
+       "         [2.4578266e-01, 2.4568021e-01, 2.4777874e-01, ...,\n",
+       "          3.1564119e-03, 2.9855371e-03, 3.7317656e-03],\n",
+       "         ...,\n",
+       "         [4.6031806e-04, 4.6055738e-04, 4.0572739e-04, ...,\n",
+       "          1.0478639e-03, 9.7404030e-04, 3.9063068e-03],\n",
+       "         [4.3276959e-04, 4.3366326e-04, 4.1510185e-04, ...,\n",
+       "          1.0469974e-03, 9.7988721e-04, 3.9243852e-03],\n",
+       "         [4.3247244e-04, 4.3272701e-04, 4.1443456e-04, ...,\n",
+       "          1.0382794e-03, 9.7298040e-04, 9.7950455e-04]],\n",
+       "\n",
+       "        [[2.4245994e-01, 2.4252659e-01, 2.4263316e-01, ...,\n",
+       "          3.9715683e-03, 3.0976303e-03, 3.0065754e-03],\n",
+       "         [2.4253695e-01, 2.4254444e-01, 2.4270350e-01, ...,\n",
+       "          3.2822597e-03, 3.0196332e-03, 3.8019062e-03],\n",
+       "         [2.4559958e-01, 2.4557045e-01, 2.4769995e-01, ...,\n",
+       "          3.1598343e-03, 2.9872195e-03, 3.8026504e-03],\n",
+       "...\n",
+       "         [1.9996207e-04, 1.9971926e-04, 1.9967998e-04, ...,\n",
+       "          2.0073418e-04, 1.9984330e-04, 1.9977702e-04],\n",
+       "         [1.9996231e-04, 1.9985763e-04, 1.9959423e-04, ...,\n",
+       "          2.0007286e-04, 1.9955638e-04, 1.9950693e-04],\n",
+       "         [1.9977042e-04, 1.9974352e-04, 1.9955622e-04, ...,\n",
+       "          1.9982507e-04, 1.9929421e-04, 1.9937739e-04]],\n",
+       "\n",
+       "        [[1.9996073e-04, 1.9996073e-04, 1.9996072e-04, ...,\n",
+       "          1.9989521e-04, 1.9995209e-04, 1.9993447e-04],\n",
+       "         [2.0007641e-04, 2.0003310e-04, 2.0004540e-04, ...,\n",
+       "          1.9983786e-04, 1.9987275e-04, 1.9996197e-04],\n",
+       "         [2.0010167e-04, 2.0004790e-04, 2.0003451e-04, ...,\n",
+       "          1.9972643e-04, 1.9982313e-04, 1.9996203e-04],\n",
+       "         ...,\n",
+       "         [1.9996239e-04, 1.9989151e-04, 1.9996232e-04, ...,\n",
+       "          1.8986819e-04, 1.8905866e-04, 1.8906509e-04],\n",
+       "         [1.9996236e-04, 1.9996794e-04, 1.9989253e-04, ...,\n",
+       "          1.8916107e-04, 1.8969117e-04, 1.8966611e-04],\n",
+       "         [1.9989470e-04, 1.9986895e-04, 1.9983816e-04, ...,\n",
+       "          1.8900316e-04, 1.8952567e-04, 1.8959300e-04]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NO3A</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.362e-16 2.363e-16 ... 0.0001896</div><input id='attrs-a5796f40-7a4c-4a41-9800-f73aab6f4be3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5796f40-7a4c-4a41-9800-f73aab6f4be3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50e7fbb3-fd75-4206-ab19-378dd3081343' class='xr-var-data-in' type='checkbox'><label for='data-50e7fbb3-fd75-4206-ab19-378dd3081343' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.3624286e-16, 2.3631340e-16, 2.3635703e-16, ...,\n",
+       "          3.2249652e-09, 3.9023904e-09, 3.9018868e-09],\n",
+       "         [2.3631025e-16, 2.3635658e-16, 2.3637256e-16, ...,\n",
+       "          3.2295850e-09, 3.7168721e-09, 4.8820454e-09],\n",
+       "         [2.3635454e-16, 2.3634641e-16, 2.3637055e-16, ...,\n",
+       "          3.1351732e-09, 3.4584089e-09, 4.5429291e-09],\n",
+       "         ...,\n",
+       "         [1.2700552e-06, 1.2951950e-06, 1.5020742e-06, ...,\n",
+       "          3.7906570e-06, 3.9554893e-06, 5.1630113e-06],\n",
+       "         [1.2415084e-06, 1.2602569e-06, 1.4888410e-06, ...,\n",
+       "          4.3896571e-06, 4.3809900e-06, 5.6390595e-06],\n",
+       "         [1.3757157e-06, 1.5226424e-06, 1.7976905e-06, ...,\n",
+       "          3.8196022e-06, 4.9828386e-06, 5.0879312e-06]],\n",
+       "\n",
+       "        [[2.3586220e-16, 2.3592819e-16, 2.3596170e-16, ...,\n",
+       "          3.8019845e-09, 4.1065578e-09, 4.0976884e-09],\n",
+       "         [2.3593446e-16, 2.3598502e-16, 2.3600800e-16, ...,\n",
+       "          3.4556942e-09, 3.9446668e-09, 5.1386237e-09],\n",
+       "         [2.3598359e-16, 2.3596583e-16, 2.3599087e-16, ...,\n",
+       "          3.3619227e-09, 3.6654202e-09, 4.7838027e-09],\n",
+       "...\n",
+       "         [1.9996207e-04, 1.9971922e-04, 1.9967998e-04, ...,\n",
+       "          2.0073222e-04, 1.9984816e-04, 1.9978188e-04],\n",
+       "         [1.9996231e-04, 1.9985763e-04, 1.9959419e-04, ...,\n",
+       "          2.0008083e-04, 1.9956450e-04, 1.9951505e-04],\n",
+       "         [1.9977042e-04, 1.9974352e-04, 1.9955618e-04, ...,\n",
+       "          1.9983301e-04, 1.9930233e-04, 1.9938551e-04]],\n",
+       "\n",
+       "        [[1.9996073e-04, 1.9996073e-04, 1.9996072e-04, ...,\n",
+       "          1.9989524e-04, 1.9995209e-04, 1.9993447e-04],\n",
+       "         [2.0007638e-04, 2.0003309e-04, 2.0004540e-04, ...,\n",
+       "          1.9983787e-04, 1.9987275e-04, 1.9996197e-04],\n",
+       "         [2.0010167e-04, 2.0004789e-04, 2.0003451e-04, ...,\n",
+       "          1.9972643e-04, 1.9982313e-04, 1.9996203e-04],\n",
+       "         ...,\n",
+       "         [1.9996239e-04, 1.9989151e-04, 1.9996223e-04, ...,\n",
+       "          1.8986568e-04, 1.8905176e-04, 1.8905821e-04],\n",
+       "         [1.9996236e-04, 1.9996794e-04, 1.9989247e-04, ...,\n",
+       "          1.8915962e-04, 1.8968486e-04, 1.8965981e-04],\n",
+       "         [1.9989468e-04, 1.9986895e-04, 1.9983813e-04, ...,\n",
+       "          1.8900169e-04, 1.8951937e-04, 1.8958669e-04]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EC</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01193 0.01193 ... 1.013e-12</div><input id='attrs-29d5d206-1648-439b-90cc-fe178889fe5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d5d206-1648-439b-90cc-fe178889fe5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-329a3c9c-ff21-474c-9268-cfd38bbba7bb' class='xr-var-data-in' type='checkbox'><label for='data-329a3c9c-ff21-474c-9268-cfd38bbba7bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>$\\mu g m^{-3}$</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.19272368e-02, 1.19330995e-02, 1.26761943e-02, ...,\n",
+       "          1.89359809e-04, 2.54704297e-04, 2.34227147e-04],\n",
+       "         [1.19306073e-02, 1.19278636e-02, 1.26568042e-02, ...,\n",
+       "          1.82495525e-04, 3.07545124e-04, 2.33464938e-16],\n",
+       "         [1.22607592e-02, 1.22555336e-02, 1.31736426e-02, ...,\n",
+       "          2.78194493e-05, 8.03567236e-05, 2.33490693e-16],\n",
+       "         ...,\n",
+       "         [5.69037255e-03, 5.72536606e-03, 7.60385301e-03, ...,\n",
+       "          1.03203366e-02, 6.07545488e-03, 2.60268290e-16],\n",
+       "         [7.08964141e-03, 7.30289798e-03, 8.55766609e-03, ...,\n",
+       "          4.91734687e-03, 3.66963865e-03, 2.60811768e-16],\n",
+       "         [6.96245674e-03, 7.00618653e-03, 8.37859139e-03, ...,\n",
+       "          4.37749270e-03, 2.95960391e-03, 3.45175341e-03]],\n",
+       "\n",
+       "        [[1.19187543e-02, 1.19246971e-02, 1.26647484e-02, ...,\n",
+       "          1.77497554e-04, 2.10734841e-04, 2.00072885e-04],\n",
+       "         [1.19224740e-02, 1.19229676e-02, 1.26551148e-02, ...,\n",
+       "          1.71657855e-04, 2.35061132e-04, 2.33015852e-16],\n",
+       "         [1.22503191e-02, 1.22475093e-02, 1.31685734e-02, ...,\n",
+       "          2.67303549e-05, 6.08936971e-05, 2.33038298e-16],\n",
+       "...\n",
+       "          4.06966297e-14, 2.42496300e-14, 2.42415883e-14],\n",
+       "         [1.99962932e-16, 1.99962694e-16, 2.33532225e-16, ...,\n",
+       "          1.46728095e-14, 9.96609987e-15, 9.96362908e-15],\n",
+       "         [1.99962668e-16, 1.99962668e-16, 2.33487782e-16, ...,\n",
+       "          1.46546322e-14, 9.95300559e-15, 9.95716029e-15]],\n",
+       "\n",
+       "        [[1.99961305e-16, 1.99961305e-16, 1.99961278e-16, ...,\n",
+       "          2.00942208e-16, 1.99962535e-16, 1.99962562e-16],\n",
+       "         [2.00017063e-16, 1.99973772e-16, 1.99962324e-16, ...,\n",
+       "          2.00884557e-16, 1.99962324e-16, 1.99962535e-16],\n",
+       "         [2.00032998e-16, 1.99979238e-16, 1.99985392e-16, ...,\n",
+       "          2.00879607e-16, 1.99962085e-16, 1.99962562e-16],\n",
+       "         ...,\n",
+       "         [1.99962959e-16, 1.99962707e-16, 2.03243253e-16, ...,\n",
+       "          6.04726213e-15, 1.36273176e-12, 1.36277805e-12],\n",
+       "         [1.99962919e-16, 1.99962932e-16, 2.20741233e-16, ...,\n",
+       "          2.67095695e-14, 1.01370952e-12, 1.01357562e-12],\n",
+       "         [1.99962906e-16, 1.99962668e-16, 2.20681200e-16, ...,\n",
+       "          2.66872706e-14, 1.01282513e-12, 1.01318476e-12]]]],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2edd1491-42c2-43bd-8bbb-02a0c1f6d554' class='xr-section-summary-in' type='checkbox'  ><label for='section-2edd1491-42c2-43bd-8bbb-02a0c1f6d554' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6908b1e8-8293-4d43-af1b-192dc9f27921' class='xr-index-data-in' type='checkbox'/><label for='index-6908b1e8-8293-4d43-af1b-192dc9f27921' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-05 00:00:00&#x27;, &#x27;2019-09-05 01:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 02:00:00&#x27;, &#x27;2019-09-05 03:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 04:00:00&#x27;, &#x27;2019-09-05 05:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 06:00:00&#x27;, &#x27;2019-09-05 07:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 08:00:00&#x27;, &#x27;2019-09-05 09:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 10:00:00&#x27;, &#x27;2019-09-05 11:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 12:00:00&#x27;, &#x27;2019-09-05 13:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 14:00:00&#x27;, &#x27;2019-09-05 15:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 16:00:00&#x27;, &#x27;2019-09-05 17:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 18:00:00&#x27;, &#x27;2019-09-05 19:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 20:00:00&#x27;, &#x27;2019-09-05 21:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 22:00:00&#x27;, &#x27;2019-09-05 23:00:00&#x27;,\n",
+       "               &#x27;2019-09-06 00:00:00&#x27;, &#x27;2019-09-06 01:00:00&#x27;,\n",
+       "               &#x27;2019-09-06 02:00:00&#x27;, &#x27;2019-09-06 03:00:00&#x27;,\n",
+       "               &#x27;2019-09-06 04:00:00&#x27;, &#x27;2019-09-06 05:00:00&#x27;,\n",
+       "               &#x27;2019-09-06 06:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a72cd37-f32d-40a8-8c78-608fa4ff7c86' class='xr-section-summary-in' type='checkbox'  ><label for='section-3a72cd37-f32d-40a8-8c78-608fa4ff7c86' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XYZ</dd><dt><span>description :</span></dt><dd>Ammonium  conc. Aitken mode</dd><dt><span>units :</span></dt><dd>ug/kg-dryair</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>coordinates :</span></dt><dd>XLONG XLAT XTIME</dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-97.0, moad_cen_lat=39.617637634277344, truelat1=33.0, truelat2=45.0, pole_lat=90.0, pole_lon=0.0)</dd><dt><span>TRUELAT1 :</span></dt><dd>33.0</dd><dt><span>TRUELAT2 :</span></dt><dd>45.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>STAND_LON :</span></dt><dd>-97.0</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>39.617638</dd><dt><span>CEN_LON :</span></dt><dd>-97.77487</dd><dt><span>mapping_tables_to_airnow :</span></dt><dd>{&#x27;OZONE&#x27;: &#x27;o3&#x27;, &#x27;PM2.5&#x27;: &#x27;PM2_5_DRY&#x27;, &#x27;PM10&#x27;: &#x27;PM10&#x27;, &#x27;CO&#x27;: &#x27;co&#x27;, &#x27;SO2&#x27;: &#x27;so2&#x27;, &#x27;NO&#x27;: &#x27;no&#x27;, &#x27;NO2&#x27;: &#x27;no2&#x27;}</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:         (y: 284, x: 440, time: 31, z: 50)\n",
+       "Coordinates:\n",
+       "    longitude       (y, x) float32 -122.3 -122.2 -122.1 ... -60.68 -60.52 -60.37\n",
+       "    latitude        (y, x) float32 21.19 21.22 21.24 21.27 ... 50.28 50.24 50.2\n",
+       "  * time            (time) datetime64[ns] 2019-09-05 ... 2019-09-06T06:00:00\n",
+       "Dimensions without coordinates: y, x, z\n",
+       "Data variables: (12/36)\n",
+       "    nh4ai           (time, z, y, x) float32 0.01599 0.016 ... 9.37e-05 9.374e-05\n",
+       "    so4ai           (time, z, y, x) float32 0.05252 0.05254 ... 0.0002829\n",
+       "    bsoa4j          (time, z, y, x) float32 1.181e-16 1.182e-16 ... 1.402e-15\n",
+       "    asoa4j          (time, z, y, x) float32 6.167e-10 6.163e-10 ... 4.61e-16\n",
+       "    orgpai          (time, z, y, x) float32 0.0005077 0.0005082 ... 1.042e-14\n",
+       "    nh4aj           (time, z, y, x) float32 0.2267 0.2267 ... 9.586e-05\n",
+       "    ...              ...\n",
+       "    surfpres_pa     (time, y, x) float32 1.008e+05 1.008e+05 ... 1.007e+05\n",
+       "    oa_tot          (time, z, y, x) float32 0.01354 0.01355 ... 4.639e-08\n",
+       "    SO4A            (time, z, y, x) float32 0.7969 0.7971 ... 0.01461 0.01461\n",
+       "    NH4A            (time, z, y, x) float32 0.2426 0.2427 ... 0.0001896\n",
+       "    NO3A            (time, z, y, x) float32 2.362e-16 2.363e-16 ... 0.0001896\n",
+       "    EC              (time, z, y, x) float32 0.01193 0.01193 ... 1.013e-12\n",
+       "Attributes: (12/15)\n",
+       "    FieldType:                 104\n",
+       "    MemoryOrder:               XYZ\n",
+       "    description:               Ammonium  conc. Aitken mode\n",
+       "    units:                     ug/kg-dryair\n",
+       "    stagger:                   \n",
+       "    coordinates:               XLONG XLAT XTIME\n",
+       "    ...                        ...\n",
+       "    MOAD_CEN_LAT:              39.617638\n",
+       "    STAND_LON:                 -97.0\n",
+       "    MAP_PROJ:                  1\n",
+       "    CEN_LAT:                   39.617638\n",
+       "    CEN_LON:                   -97.77487\n",
+       "    mapping_tables_to_airnow:  {'OZONE': 'o3', 'PM2.5': 'PM2_5_DRY', 'PM10': ..."
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "an.models['wrfchem_v4.2'].obj"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "df1979bc-dcdb-4b58-a37d-49bcef41ac19",
+   "metadata": {},
+   "source": [
+    "In the control file, among others, we have directed the variables 'so4aj' and 'so4ai' to be summed into the variable 'SO4A'. The results confirming this can be seen below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d25ea9fa-26c3-4d2a-bd8f-b6d34240c656",
+   "metadata": {},
+   "outputs": [
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+       "array(59125664., dtype=float32)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1596a79c-90e2-419d-9c18-bea1fc41e349' class='xr-array-in' type='checkbox' checked><label for='section-1596a79c-90e2-419d-9c18-bea1fc41e349' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.913e+07</span></div><div class='xr-array-data'><pre>array(59125664., dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-173e5c51-5999-4fd4-881c-31d6fb72c663' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-173e5c51-5999-4fd4-881c-31d6fb72c663' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-aff2a322-dd7c-4868-906a-f3c96260064f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aff2a322-dd7c-4868-906a-f3c96260064f' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-20758c7b-c411-445a-a023-a00d31d32c22' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-20758c7b-c411-445a-a023-a00d31d32c22' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
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+       "array(59125664., dtype=float32)"
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+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "an.models['wrfchem_v4.2'].obj['so4aj'].sum(dim=['time','z','y','x']) + an.models['wrfchem_v4.2'].obj['so4ai'].sum(dim=['time','z','y','x'])"
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+   "id": "1e5411f7-28ec-49e6-b686-b7c928858269",
+   "metadata": {},
+   "outputs": [
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;SO4A&#x27; ()&gt;\n",
+       "array(59125640., dtype=float32)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'SO4A'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-739c29d3-9ffa-4570-8579-f6a672a6ecc7' class='xr-array-in' type='checkbox' checked><label for='section-739c29d3-9ffa-4570-8579-f6a672a6ecc7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.913e+07</span></div><div class='xr-array-data'><pre>array(59125640., dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-48e8259f-2eaf-4f78-a32b-1542c075c50d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-48e8259f-2eaf-4f78-a32b-1542c075c50d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-41116c05-6d88-4d21-8098-dc1b274b9353' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-41116c05-6d88-4d21-8098-dc1b274b9353' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1b58b2dd-d90e-4a70-a06a-f0ff746349ed' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b58b2dd-d90e-4a70-a06a-f0ff746349ed' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'SO4A' ()>\n",
+       "array(59125640., dtype=float32)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "an.models['wrfchem_v4.2'].obj['SO4A'].sum(dim=['time','z','y','x'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c3d82873-60c7-4371-b3a1-44681d9fd36a",
+   "metadata": {},
+   "source": [
+    "### Open Obs\n",
+    "\n",
+    "Now for monet-analysis we will open preprocessed data in either netcdf icartt or some other format. We will not be retrieving data like monetio does for some observations (ie aeronet, airnow, etc....). Instead we will provide utitilies to do this so that users can add more data easily.\n",
+    "\n",
+    "Like models we list all obs objects in the yaml file and it will loop through and create driver.observation instances that include the model type, file, objects (i.e. data object) and label "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "6e012062-e8ea-44bf-b484-caee04f62281",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/charkins/miniconda3/envs/melodies-monet_aircraft/lib/python3.9/site-packages/xarray/core/groupby.py:534: FutureWarning: 'S' is deprecated and will be removed in a future version, please use 's' instead.\n",
+      "  index_grouper = pd.Grouper(\n"
+     ]
+    }
+   ],
+   "source": [
+    "an.open_obs()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "6dc6f28f-89d8-4932-83c1-b469e2050d08",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:                                       (time: 35)\n",
+       "Coordinates:\n",
+       "  * time                                          (time) datetime64[ns] 2019-...\n",
+       "Data variables: (12/642)\n",
+       "    Time_Stop                                     (time) float64 6.35e+04 ......\n",
+       "    Day_Of_Year_YANG                              (time) float64 248.0 ... 248.0\n",
+       "    latitude                                      (time) float64 38.73 ... 34.63\n",
+       "    longitude                                     (time) float64 -97.65 ... -...\n",
+       "    altitude                                      (time) float64 894.7 ... 770.1\n",
+       "    HAE_GPS_Altitude_YANG                         (time) float64 868.9 ... 736.1\n",
+       "    ...                                            ...\n",
+       "    smoke_age_HOLMES                              (time) float64 nan nan ... nan\n",
+       "    smoke_age_corr_HOLMES                         (time) float64 nan nan ... nan\n",
+       "    smoke_age_rise_HOLMES                         (time) float64 nan nan ... nan\n",
+       "    smoke_rise_HOLMES                             (time) float64 nan nan ... nan\n",
+       "    fire_distance_HOLMES                          (time) float64 nan nan ... nan\n",
+       "    smoke_agemethod_HOLMES                        (time) float64 nan nan ... nan\n",
+       "Attributes: (12/23)\n",
+       "    source:               Merged Flight#20190905, on the DC8 platform. Data i...\n",
+       "    Date Revised:         2022-02-11 00:00:00\n",
+       "    mission:              FIREXAQ\n",
+       "    organization:         NASA Langley Research Center\n",
+       "    PI:                   Suborbital Science Data for Atmospheric Composition\n",
+       "    PI_CONTACT_INFO:      gao.chen@nasa.gov, michael.shook@nasa.gov, ali.a.ak...\n",
+       "    ...                   ...\n",
+       "    PROJECT_INFO:         FIREXAQ\n",
+       "    STIPULATIONS_ON_USE:  N/A\n",
+       "    OTHER_COMMENTS:       This merge was created using the SSD-AC online merg...\n",
+       "    REVISION:             R1\n",
+       "    R1:                   File generated from data submitted before 2022, 2, ...\n",
+       "    R0:                   File was generated using the online merge tool.</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-29c3afb9-40a9-466c-a149-9fb25298a16c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-29c3afb9-40a9-466c-a149-9fb25298a16c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 35</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-689cabf7-d161-4182-8fc6-2d62342260a1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-689cabf7-d161-4182-8fc6-2d62342260a1' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-09-05T17:30:00 ... 2019-09-...</div><input id='attrs-cc5a15cc-ed7f-48e0-bc5a-1b35dda096e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc5a15cc-ed7f-48e0-bc5a-1b35dda096e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0664658b-5a0c-4f48-b002-79b44c671aca' class='xr-var-data-in' type='checkbox'><label for='data-0664658b-5a0c-4f48-b002-79b44c671aca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-09-05T17:30:00.000000000&#x27;, &#x27;2019-09-05T17:40:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T17:50:00.000000000&#x27;, &#x27;2019-09-05T18:00:00.000000000&#x27;,\n",
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+       "       &#x27;2019-09-05T18:50:00.000000000&#x27;, &#x27;2019-09-05T19:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T19:10:00.000000000&#x27;, &#x27;2019-09-05T19:20:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T19:30:00.000000000&#x27;, &#x27;2019-09-05T19:40:00.000000000&#x27;,\n",
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+       "       &#x27;2019-09-05T20:30:00.000000000&#x27;, &#x27;2019-09-05T20:40:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T20:50:00.000000000&#x27;, &#x27;2019-09-05T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T21:10:00.000000000&#x27;, &#x27;2019-09-05T21:20:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T21:30:00.000000000&#x27;, &#x27;2019-09-05T21:40:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T21:50:00.000000000&#x27;, &#x27;2019-09-05T22:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T22:10:00.000000000&#x27;, &#x27;2019-09-05T22:20:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T22:30:00.000000000&#x27;, &#x27;2019-09-05T22:40:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T22:50:00.000000000&#x27;, &#x27;2019-09-05T23:00:00.000000000&#x27;,\n",
+       "       &#x27;2019-09-05T23:10:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c29fdc8-f77e-41fb-8c8b-0044f4b6ae19' class='xr-section-summary-in' type='checkbox'  ><label for='section-5c29fdc8-f77e-41fb-8c8b-0044f4b6ae19' class='xr-section-summary' >Data variables: <span>(642)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Time_Stop</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.35e+04 6.391e+04 ... 8.344e+04</div><input id='attrs-4cb2c143-6b51-4916-9564-4f4ad5bbd9e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cb2c143-6b51-4916-9564-4f4ad5bbd9e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ba43693-d098-432f-a3d3-ae40f6403695' class='xr-var-data-in' type='checkbox'><label for='data-5ba43693-d098-432f-a3d3-ae40f6403695' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([63500., 63910., 64510., 65110., 65710., 66310., 66910., 67510.,\n",
+       "       68110., 68710., 69310., 69910., 70510., 71110., 71710., 72310.,\n",
+       "       72910., 73510., 74110., 74710., 75310., 75910., 76510., 77110.,\n",
+       "       77710., 78310., 78910., 79510., 80110., 80710., 81310., 81910.,\n",
+       "       82510., 83110., 83435.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Day_Of_Year_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>248.0 248.0 248.0 ... 248.0 248.0</div><input id='attrs-afd09e88-e593-4203-b90e-74b142a47d4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afd09e88-e593-4203-b90e-74b142a47d4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e14d80e-bad5-45ce-a8e2-8a927cff02d1' class='xr-var-data-in' type='checkbox'><label for='data-0e14d80e-bad5-45ce-a8e2-8a927cff02d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([248., 248., 248., 248., 248., 248., 248., 248., 248., 248., 248.,\n",
+       "       248., 248., 248., 248., 248., 248., 248., 248., 248., 248., 248.,\n",
+       "       248., 248., 248., 248., 248., 248., 248., 248., 248., 248., 248.,\n",
+       "       248., 248.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>38.73 38.68 38.5 ... 34.55 34.63</div><input id='attrs-8942445b-bf6e-43da-b7a3-d6603764a001' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8942445b-bf6e-43da-b7a3-d6603764a001' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e921c56-a2d1-46a6-840d-cfc3798711d2' class='xr-var-data-in' type='checkbox'><label for='data-5e921c56-a2d1-46a6-840d-cfc3798711d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([38.73497655, 38.67768667, 38.49900017, 38.25073933, 37.9631576 ,\n",
+       "       37.64598913, 37.41873067, 37.60176348, 37.80766335, 37.98919622,\n",
+       "       38.12392459,         nan, 38.36857833, 38.0305439 , 37.42499353,\n",
+       "       36.78787212, 36.57720417, 35.94410505, 35.3680635 , 34.84510508,\n",
+       "       34.36077373, 34.15433758, 34.06327843, 33.71797248, 33.63518492,\n",
+       "       33.86922607, 34.1278056 , 34.11736123, 33.91561415, 33.60161962,\n",
+       "       33.75305435, 33.99347155, 34.16858785, 34.54836383, 34.6272146 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-97.65 -98.24 ... -118.1 -118.1</div><input id='attrs-c40a635d-717c-4aa0-aef2-bb40206bb959' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c40a635d-717c-4aa0-aef2-bb40206bb959' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a202f24c-d95f-4b0b-b6f7-6a4f590999d6' class='xr-var-data-in' type='checkbox'><label for='data-a202f24c-d95f-4b0b-b6f7-6a4f590999d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ -97.65367582,  -98.23949872,  -99.5509629 , -101.08383247,\n",
+       "       -102.71519488, -104.37025113, -105.9962879 , -107.6339072 ,\n",
+       "       -109.29501647, -110.93835172, -112.29567   ,           nan,\n",
+       "       -116.22683407, -117.58824563, -118.95383837, -119.5410301 ,\n",
+       "       -119.38942603, -119.26276107, -118.87469133, -118.18715127,\n",
+       "       -117.47871552, -117.8422083 , -118.5757026 , -118.86833837,\n",
+       "       -118.26684773, -117.63740622, -117.55422412, -118.27333995,\n",
+       "       -118.86013633, -118.61676815, -117.96808262, -117.42648532,\n",
+       "       -117.8830179 , -118.13386012, -118.0759168 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>894.7 3.604e+03 ... 1.832e+03 770.1</div><input id='attrs-e2c026f8-49c8-4c3a-b678-d57015471ffd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2c026f8-49c8-4c3a-b678-d57015471ffd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-010c1f39-90b7-4db6-b0b9-1ebbf55db921' class='xr-var-data-in' type='checkbox'><label for='data-010c1f39-90b7-4db6-b0b9-1ebbf55db921' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([  894.69090909,  3604.42833333,  7319.50283333,  9786.67666667,\n",
+       "       10407.81      , 10414.33333333, 10411.49      , 10404.18      ,\n",
+       "       10979.27166667, 11672.405     , 11666.66216216,            nan,\n",
+       "       11631.41555556, 11615.80333333, 10504.81333333,  4241.425     ,\n",
+       "         637.72333333,   421.66666667,  1440.125     ,  3059.09166667,\n",
+       "        2320.71833333,  1230.90333333,   864.62333333,   348.91166667,\n",
+       "         534.42666667,   850.47666667,  1097.64166667,  1119.5       ,\n",
+       "         348.15166667,   164.77833333,   972.9       ,   825.28666667,\n",
+       "        1328.65833333,  1832.19      ,   770.1       ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HAE_GPS_Altitude_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>868.9 3.581e+03 ... 1.798e+03 736.1</div><input id='attrs-d40f1515-fc62-45fe-b386-6904d11af7ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d40f1515-fc62-45fe-b386-6904d11af7ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8aa2b6c6-4a70-4360-aecf-ec30d005a1ca' class='xr-var-data-in' type='checkbox'><label for='data-8aa2b6c6-4a70-4360-aecf-ec30d005a1ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([  868.94227273,  3581.03316667,  7295.81466667,  9762.397     ,\n",
+       "       10383.43333333, 10389.99333333, 10388.20833333, 10381.62666667,\n",
+       "       10958.295     , 11650.99166667, 11643.97297297,            nan,\n",
+       "       11605.71555556, 11588.305     , 10474.24316667,  4207.823     ,\n",
+       "         606.00866667,   388.5975    ,  1405.96283333,  3024.49066667,\n",
+       "        2285.02433333,  1195.03783333,   829.587     ,   311.499     ,\n",
+       "         499.54333333,   816.17116667,  1063.74383333,  1085.065     ,\n",
+       "         312.04866667,   129.355     ,   938.97233333,   791.45916667,\n",
+       "        1295.57316667,  1798.12816667,   736.106     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Pressure_Altitude_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.724e+03 1.101e+04 ... 2.43e+03</div><input id='attrs-9ecd8bfb-c17c-4c78-9d96-5a3813d76618' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ecd8bfb-c17c-4c78-9d96-5a3813d76618' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4172cf72-5b0e-4dcb-a61c-13009640dc80' class='xr-var-data-in' type='checkbox'><label for='data-4172cf72-5b0e-4dcb-a61c-13009640dc80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ft</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2723.63181818, 11012.36466667, 22461.16666667, 30081.71833333,\n",
+       "       32011.19666667, 32021.3       , 32011.77      , 32007.81666667,\n",
+       "       33824.06333333, 36009.87166667, 36009.87666667, 36023.37333333,\n",
+       "       36022.105     , 36024.73      , 32599.155     , 13122.67333333,\n",
+       "        1998.695     ,  1339.84333333,  4446.41      ,  9395.545     ,\n",
+       "        7140.18333333,  3800.29      ,  2691.01      ,  1082.76833333,\n",
+       "        1657.28333333,  2655.68666667,  3409.43166667,  3479.89166667,\n",
+       "        1098.27166667,   527.185     ,  3032.37333333,  2587.44666667,\n",
+       "        4115.41333333,  5680.11833333,  2429.62      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Radar_Altitude_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.625e+03 1.016e+04 ... 3.91</div><input id='attrs-545d4014-1f90-4336-8b61-ab561fbd97a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-545d4014-1f90-4336-8b61-ab561fbd97a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a243ed89-9a6d-439f-a868-e86d34b6d711' class='xr-var-data-in' type='checkbox'><label for='data-a243ed89-9a6d-439f-a868-e86d34b6d711' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ft</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([3.62473333e+03, 1.01583933e+04, 2.17572550e+04, 2.89224233e+04,\n",
+       "       3.01883933e+04, 2.81898717e+04, 2.49776450e+04, 2.33273550e+04,\n",
+       "       2.81740400e+04, 3.08773833e+04, 3.13764517e+04, 3.14673950e+04,\n",
+       "       3.19294700e+04, 3.20198200e+04, 2.69338733e+04, 1.32671800e+04,\n",
+       "       1.71486167e+03, 1.07421333e+03, 3.32310250e+03, 6.64045083e+03,\n",
+       "       4.36617167e+03, 2.52954750e+03, 2.27286583e+03, 1.13975083e+03,\n",
+       "       1.74468833e+03, 2.06118667e+03, 1.97154083e+03, 2.81697417e+03,\n",
+       "       1.06189500e+03, 5.35490833e+02, 3.01825000e+03, 1.50915750e+03,\n",
+       "       2.64597333e+03, 2.99343583e+03, 3.91000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ground_Speed_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>97.1 164.8 215.2 ... 116.3 17.56</div><input id='attrs-4c07048c-a36c-4f9f-8084-b5f5234aaf5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c07048c-a36c-4f9f-8084-b5f5234aaf5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e0c450a-8e6e-45fd-acbd-e5e902938154' class='xr-var-data-in' type='checkbox'><label for='data-1e0c450a-8e6e-45fd-acbd-e5e902938154' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 97.10145455, 164.81931667, 215.1614    , 238.65186667,\n",
+       "       249.37916667, 249.5957    , 245.30495   , 246.79126667,\n",
+       "       244.81883333, 246.00495   , 250.34030541,          nan,\n",
+       "       244.68876222, 237.5457    , 218.81695   , 177.25531667,\n",
+       "       126.96076667, 123.81193333, 136.83535   , 147.67391667,\n",
+       "       136.33108333, 120.67468333, 111.11026667, 118.35501667,\n",
+       "       115.95211667, 118.99616667, 118.25588333, 110.60615   ,\n",
+       "       110.47235   , 114.04403333, 113.97163333, 116.83775   ,\n",
+       "       117.97408333, 116.27998333,  17.5642    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>True_Air_Speed_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.02e+04 328.9 ... -8.889e+05</div><input id='attrs-77be48d6-86a2-4730-8358-8b6605818e94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77be48d6-86a2-4730-8358-8b6605818e94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-321edb92-fd78-4f3a-9d21-dc1b2acac06c' class='xr-var-data-in' type='checkbox'><label for='data-321edb92-fd78-4f3a-9d21-dc1b2acac06c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kts</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-4.01995660e+04,  3.28870000e+02,  4.29811267e+02,  4.74565250e+02,\n",
+       "        4.89369750e+02,  4.98866267e+02,  4.97398150e+02,  4.97287700e+02,\n",
+       "        4.90527033e+02,  4.90553383e+02,  4.91635333e+02,  4.92773717e+02,\n",
+       "        4.92861850e+02,  4.95550617e+02,  4.60814250e+02,  3.53323750e+02,\n",
+       "        2.45548067e+02,  2.35585133e+02,  2.66417467e+02,  2.91397700e+02,\n",
+       "        2.69510917e+02,  2.32622517e+02,  2.18422200e+02,  2.28115983e+02,\n",
+       "        2.18292883e+02,  2.25856850e+02,  2.33419517e+02,  2.17851317e+02,\n",
+       "        2.17134500e+02,  2.12961567e+02,  2.16864283e+02,  2.26636733e+02,\n",
+       "        2.33457800e+02,  2.23542297e+02, -8.88888000e+05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Indicated_Air_Speed_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>191.7 270.7 ... 197.6 -3.555e+05</div><input id='attrs-5694e284-9cf7-4906-8452-4c56fee40d62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5694e284-9cf7-4906-8452-4c56fee40d62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d77e2cf8-fcf9-4266-b6c0-0409045c89c1' class='xr-var-data-in' type='checkbox'><label for='data-d77e2cf8-fcf9-4266-b6c0-0409045c89c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kts</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.91704864e+02,  2.70670450e+02,  3.01448033e+02,  2.97337650e+02,\n",
+       "        2.98371633e+02,  3.03776867e+02,  3.02324417e+02,  3.02128700e+02,\n",
+       "        2.88311267e+02,  2.77871300e+02,  2.79026417e+02,  2.79908617e+02,\n",
+       "        2.79318000e+02,  2.80315517e+02,  2.75239483e+02,  2.83331867e+02,\n",
+       "        2.30648983e+02,  2.23672100e+02,  2.41524150e+02,  2.47384700e+02,\n",
+       "        2.35324850e+02,  2.12651667e+02,  2.02755900e+02,  2.19919833e+02,\n",
+       "        2.07823767e+02,  2.09893267e+02,  2.14414200e+02,  1.99902450e+02,\n",
+       "        2.08752117e+02,  2.07515083e+02,  2.00596017e+02,  2.10267117e+02,\n",
+       "        2.12462317e+02,  1.97621800e+02, -3.55522235e+05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Mach_Number_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3073 0.5024 ... 0.3337 -7.111e+05</div><input id='attrs-77f64d0b-2f0d-4ad4-96eb-0cdef0317000' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77f64d0b-2f0d-4ad4-96eb-0cdef0317000' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2607c372-754e-412a-b1fd-3fa0188d6564' class='xr-var-data-in' type='checkbox'><label for='data-2607c372-754e-412a-b1fd-3fa0188d6564' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mach</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.07292273e-01,  5.02393333e-01,  6.87431667e-01,  7.87013333e-01,\n",
+       "        8.20875000e-01,  8.34893333e-01,  8.31030000e-01,  8.30466667e-01,\n",
+       "        8.25221667e-01,  8.35331667e-01,  8.38510000e-01,  8.41150000e-01,\n",
+       "        8.39496667e-01,  8.42270000e-01,  7.73948333e-01,  5.47886667e-01,\n",
+       "        3.62638333e-01,  3.47408333e-01,  3.97078333e-01,  4.42941667e-01,\n",
+       "        4.05653333e-01,  3.45301667e-01,  3.23320000e-01,  3.40380000e-01,\n",
+       "        3.25160000e-01,  3.34098333e-01,  3.45713333e-01,  3.23248333e-01,\n",
+       "        3.23496667e-01,  3.18525000e-01,  3.21706667e-01,  3.34378333e-01,\n",
+       "        3.47218333e-01,  3.33728333e-01, -7.11110377e+05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vertical_Speed_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.297 6.707 5.241 ... -3.239 0.06</div><input id='attrs-1f1a652a-9fc0-467f-9c5b-16dc408afc67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f1a652a-9fc0-467f-9c5b-16dc408afc67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4a2afac-6e7b-41a0-999f-4f0dece15314' class='xr-var-data-in' type='checkbox'><label for='data-d4a2afac-6e7b-41a0-999f-4f0dece15314' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.29727273e+00,  6.70683333e+00,  5.24133333e+00,  2.83783333e+00,\n",
+       "       -4.50000000e-03,  1.83333333e-03,  3.33333333e-04, -2.53333333e-02,\n",
+       "        2.12850000e+00, -6.83333333e-03, -3.40740411e+05, -8.88888000e+05,\n",
+       "       -2.22222036e+05, -1.53333333e-02, -6.43700000e+00, -1.01363333e+01,\n",
+       "       -2.06000000e+00,  9.36666667e-02,  4.33483333e+00, -7.46666667e-02,\n",
+       "       -3.29650000e+00,  5.40000000e-02, -5.24500000e-01, -1.05150000e+00,\n",
+       "        1.58433333e+00, -3.23333333e-02,  4.11666667e-02, -1.58666667e-01,\n",
+       "       -1.44283333e+00, -9.00000000e-03,  1.42733333e+00,  7.03333333e-02,\n",
+       "        2.75083333e+00, -3.23866667e+00,  6.00000000e-02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>True_Heading_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>202.6 266.3 260.3 ... 87.32 224.9</div><input id='attrs-73ade3dc-0192-44f3-be89-1c36b498d055' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73ade3dc-0192-44f3-be89-1c36b498d055' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45f28307-307d-4d00-a595-a18e2a8e58ce' class='xr-var-data-in' type='checkbox'><label for='data-45f28307-307d-4d00-a595-a18e2a8e58ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg 0-360</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([202.5535    , 266.33276667, 260.3298    , 259.4519    ,\n",
+       "       257.6205    , 255.78823333, 269.39638333, 277.802     ,\n",
+       "       276.68953333, 274.86546667, 273.4317    , 272.06148333,\n",
+       "       261.73753333, 242.47628333, 233.62836667, 182.80238333,\n",
+       "       151.27808333, 168.73431667, 140.11643333, 128.35065   ,\n",
+       "       160.05151667, 267.07806667, 256.55496667, 145.07123333,\n",
+       "        72.22718333,  74.73428333, 264.95985   , 259.9425    ,\n",
+       "       216.66891667,  97.15035   ,  61.55095   , 160.71776667,\n",
+       "       279.36638333,  87.3229    , 224.8512    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Track_Angle_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.8 266.8 258.8 ... 87.42 211.6</div><input id='attrs-d5bdb03c-0bb1-427c-9654-33813214075b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5bdb03c-0bb1-427c-9654-33813214075b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27a71539-61df-4b0b-9579-254bba5f38e7' class='xr-var-data-in' type='checkbox'><label for='data-27a71539-61df-4b0b-9579-254bba5f38e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg 0-360</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([200.83056364, 266.75346833, 258.8355    , 257.91485   ,\n",
+       "       256.9383    , 255.91618333, 270.44581833, 279.37246667,\n",
+       "       278.3559    , 277.53171667, 276.70178108,          nan,\n",
+       "       262.40654667, 246.27845167, 237.84997333, 182.82885883,\n",
+       "       150.32586833, 167.8069    , 139.35796833, 127.58681667,\n",
+       "       159.04509333, 267.30831667, 256.869985  , 144.75121667,\n",
+       "        71.916555  ,  66.79196517, 263.8679865 , 259.96853333,\n",
+       "       215.102815  ,  97.48525167,  61.050595  , 157.43178183,\n",
+       "       279.30703667,  87.42046783, 211.58314   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Drift_Angle_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.725 0.4217 ... 0.09933 -13.43</div><input id='attrs-f1639602-fc62-4378-819d-2e04e6b5f341' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1639602-fc62-4378-819d-2e04e6b5f341' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-376a13cd-4865-4522-8a91-1c9911dfddc6' class='xr-var-data-in' type='checkbox'><label for='data-376a13cd-4865-4522-8a91-1c9911dfddc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg +-180</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ -1.725     ,   0.42166667,  -1.494     ,  -1.53566667,\n",
+       "        -0.6835    ,   0.127     ,   1.05116667,   1.57016667,\n",
+       "         1.6655    ,   2.67016667,   2.98486486,          nan,\n",
+       "         3.84066667,   3.8025    ,   4.222     ,  -0.57283333,\n",
+       "        -0.9515    ,  -0.9285    ,  -0.758     ,  -0.76183333,\n",
+       "        -1.0085    ,   0.23133333,   0.31366667,  -0.32183333,\n",
+       "        -0.30966667,   0.45683333,   0.706     ,   0.0275    ,\n",
+       "        -1.56716667,   0.33483333,  -0.50016667,   1.51316667,\n",
+       "        -0.05983333,   0.09933333, -13.434     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Pitch_Angle_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>55.28 4.5 2.405 ... 96.65 359.6</div><input id='attrs-007a1469-1365-4d69-8b39-8e8c126e7605' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-007a1469-1365-4d69-8b39-8e8c126e7605' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b4f54fa-f9a7-4870-ba7e-4ee7501d4f84' class='xr-var-data-in' type='checkbox'><label for='data-1b4f54fa-f9a7-4870-ba7e-4ee7501d4f84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg +-180</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 55.27524636,   4.49976433,   2.40528333,   1.60308333,\n",
+       "         0.73495   ,   0.50576667,   0.52048333,   0.47503333,\n",
+       "         1.23425   ,   0.9034    ,   0.8039    ,   0.76065   ,\n",
+       "         0.74165   ,   0.70196667, 233.41776667, 286.4255335 ,\n",
+       "        80.27990033,   3.317317  ,   4.18621533,   2.19504933,\n",
+       "       109.41091783,   3.91360117,   4.18816683,  38.93956667,\n",
+       "         4.77111583,  15.9173    ,   3.56043333,   4.3306    ,\n",
+       "         9.09691867,   3.84753333,   5.00125283,   3.6778155 ,\n",
+       "         4.600999  ,  96.6544075 , 359.5644    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Roll_Angle_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>152.5 287.2 191.9 ... 113.2 0.7298</div><input id='attrs-af7115fc-1455-4ab5-9613-f3b819a92a25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af7115fc-1455-4ab5-9613-f3b819a92a25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0d045bc-47af-452e-824a-841884c995c2' class='xr-var-data-in' type='checkbox'><label for='data-e0d045bc-47af-452e-824a-841884c995c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg +-180</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([152.50038227, 287.15852333, 191.87196668, 108.05476667,\n",
+       "       173.99913333, 161.99168334, 145.0272775 , 197.96403333,\n",
+       "       209.92276667, 185.97523333, 197.97291667, 239.94526667,\n",
+       "       185.03642317, 233.40153335, 203.27678483, 139.025385  ,\n",
+       "       177.64149167, 226.60313483, 257.293192  , 215.58992875,\n",
+       "       188.7706205 , 143.84077916, 226.68734358, 201.43669017,\n",
+       "       226.41412868, 227.65020037, 237.60244853, 239.4131715 ,\n",
+       "       256.29585207, 273.86110347, 233.67056845, 254.12325867,\n",
+       "       240.56982698, 113.1682097 ,   0.7298    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Static_Air_Temp_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>28.27 10.82 -15.07 ... 23.85 34.95</div><input id='attrs-dd894cce-3a45-42e9-bae8-b05a32890e1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd894cce-3a45-42e9-bae8-b05a32890e1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b4ca49e-5c4e-4a0b-a647-668ed85d7ddc' class='xr-var-data-in' type='checkbox'><label for='data-0b4ca49e-5c4e-4a0b-a647-668ed85d7ddc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees Celcius</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 28.26936364,  10.8195    , -15.07221667, -33.60421667,\n",
+       "       -39.11933333, -38.0076    , -37.202     , -37.01446667,\n",
+       "       -40.62603333, -46.2452    , -46.94461667, -47.37583333,\n",
+       "       -46.38893333, -45.41198333, -39.11238333,   3.39068333,\n",
+       "        29.43183333,  30.14641667,  24.34946667,  12.37193333,\n",
+       "        18.45795   ,  26.15878333,  27.85291667,  23.00861667,\n",
+       "        24.08278333,  28.2633    ,  27.50515   ,  26.34975   ,\n",
+       "        24.0086    ,  21.76115   ,  26.535     ,  29.82783333,\n",
+       "        25.07876667,  23.85226667,  34.953     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Potential_Temp_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>309.0 318.5 330.9 ... 314.1 314.8</div><input id='attrs-b5e89531-fdfb-4013-b0cd-35993ae8ef9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5e89531-fdfb-4013-b0cd-35993ae8ef9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e51b5329-64fe-4719-b5cf-773fc46b9d0a' class='xr-var-data-in' type='checkbox'><label for='data-e51b5329-64fe-4719-b5cf-773fc46b9d0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Kelvin</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([308.95136364, 318.48883333, 330.91883333, 338.08333333,\n",
+       "       338.78166667, 340.43866667, 341.56      , 341.814     ,\n",
+       "       344.87416667, 346.67166667, 345.605     , 345.00866667,\n",
+       "       346.51083333, 348.0155    , 341.534     , 317.72016667,\n",
+       "       307.788     , 306.38933333, 310.58516667, 314.48566667,\n",
+       "       313.35216667, 310.2925    , 308.41083333, 298.42116667,\n",
+       "       301.33816667, 308.72016667, 310.39816667, 309.43733333,\n",
+       "       299.47383333, 295.41116667, 308.18416667, 310.0965    ,\n",
+       "       310.21783333, 314.11983333, 314.808     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Dew_Point_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.93 -4.551 -26.21 ... 10.5 12.84</div><input id='attrs-e056bec5-422b-4631-9c4d-7020c8916a6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e056bec5-422b-4631-9c4d-7020c8916a6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b386bfc5-64cb-4461-8cfb-0005e5d7a07c' class='xr-var-data-in' type='checkbox'><label for='data-b386bfc5-64cb-4461-8cfb-0005e5d7a07c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees Celcius</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.49268182e+01, -4.55083333e+00, -2.62108333e+01, -4.70803333e+01,\n",
+       "       -5.17856667e+01, -2.07449970e+05, -5.61633333e+01, -5.43288333e+01,\n",
+       "       -4.74099391e+05, -5.59045000e+01, -5.50740000e+01, -1.03753946e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -5.92609776e+05, -3.85233333e+00,\n",
+       "        1.34433333e+01,  1.61593333e+01,  1.18770000e+01,  6.90683333e+00,\n",
+       "        1.04183333e+01,  1.28215000e+01,  9.12016667e+00,  1.59708719e+01,\n",
+       "        1.48761667e+01,  1.33823333e+01,  1.47190000e+01,  1.06103333e+01,\n",
+       "        1.44808333e+01,  1.93151667e+01,  1.09628333e+01,  1.51205000e+01,\n",
+       "        1.32421667e+01,  1.05003333e+01,  1.28400000e+01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Total_Air_Temp_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.37 25.35 9.348 ... 30.69 35.26</div><input id='attrs-53c406a3-2d83-48db-b25a-b42cc49a9732' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53c406a3-2d83-48db-b25a-b42cc49a9732' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30047f65-a103-433a-83df-bce7eecff2c9' class='xr-var-data-in' type='checkbox'><label for='data-30047f65-a103-433a-83df-bce7eecff2c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees Celcius</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 34.365     ,  25.34883333,   9.34816667,  -3.921     ,\n",
+       "        -7.55783333,  -5.20633333,  -4.59533333,  -4.4285    ,\n",
+       "        -8.93533333, -14.56033333, -15.11616667, -15.40733333,\n",
+       "       -14.40583333, -13.07916667, -10.9855    ,  20.2095    ,\n",
+       "        37.4295    ,  37.47183333,  33.79266667,  23.58166667,\n",
+       "        28.11266667,  33.31483333,  34.154     ,  29.8995    ,\n",
+       "        30.38766667,  35.00816667,  34.70216667,  32.61566667,\n",
+       "        30.2355    ,  27.7575    ,  32.75183333,  36.611     ,\n",
+       "        32.279     ,  30.69283333,  35.262     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>IR_Surf_Temp_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.44 33.18 34.52 ... 37.84 32.69</div><input id='attrs-ee011f39-2040-4b7d-95c9-68c2358bdc05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee011f39-2040-4b7d-95c9-68c2358bdc05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11a998fa-3a1f-4520-9cdc-e632a6d6b3ec' class='xr-var-data-in' type='checkbox'><label for='data-11a998fa-3a1f-4520-9cdc-e632a6d6b3ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees Celcius</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 35.43545455,  33.18066667,  34.52416667,  37.91633333,\n",
+       "        41.67566667,  41.44333333,  28.58283333,  15.16883333,\n",
+       "        29.3795    ,  32.395     ,  16.24866667,  23.33483333,\n",
+       "         1.73933333, -17.17716667, -12.83383333,  24.61766667,\n",
+       "        36.10983333,  37.135     ,  44.16933333,  40.56016667,\n",
+       "        36.21716667,  40.04983333,  34.64333333,  23.49533333,\n",
+       "        25.606     ,  41.52566667,  41.85066667,  38.62383333,\n",
+       "        26.15166667,  23.51716667,  34.19816667,  40.4985    ,\n",
+       "        37.61766667,  37.84416667,  32.688     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Static_Pressure_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>918.1 675.5 422.2 ... 823.9 927.4</div><input id='attrs-1e6e4a31-15c4-4e3e-862c-80dd18f41ce1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e6e4a31-15c4-4e3e-862c-80dd18f41ce1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07ec2e9f-8aaa-4017-b10b-a1263290b4e0' class='xr-var-data-in' type='checkbox'><label for='data-07ec2e9f-8aaa-4017-b10b-a1263290b4e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([918.14263636, 675.54511667, 422.1958    , 300.47933333,\n",
+       "       274.3439    , 274.21513333, 274.33641667, 274.38663333,\n",
+       "       252.58865   , 227.18323333, 227.1829    , 227.03561667,\n",
+       "       227.04976667, 227.02111667, 269.68218333, 627.43715   ,\n",
+       "       942.73643333, 965.14485   , 865.27663333, 713.31563333,\n",
+       "       779.24023333, 881.74976667, 918.58131667, 974.5892    ,\n",
+       "       954.94046667, 919.8739    , 894.49375   , 892.15103333,\n",
+       "       974.00205   , 994.09551667, 907.43423333, 922.04538333,\n",
+       "       872.204     , 823.90325   , 927.3926    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cabin_Pressure_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>981.9 911.3 843.4 ... 944.9 936.5</div><input id='attrs-7c920f00-1e16-405e-9131-1ea523c6f5a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c920f00-1e16-405e-9131-1ea523c6f5a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29cab993-f966-4821-82ed-5cc288346053' class='xr-var-data-in' type='checkbox'><label for='data-29cab993-f966-4821-82ed-5cc288346053' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 981.87272727,  911.34066667,  843.38183333,  843.169     ,\n",
+       "        843.92333333,  844.08916667,  844.54533333,  845.02116667,\n",
+       "        829.78116667,  820.126     ,  820.6435    ,  819.63366667,\n",
+       "        820.988     ,  821.00233333,  853.91883333,  968.60766667,\n",
+       "       1049.25416667, 1059.01616667, 1040.099     ,  964.832     ,\n",
+       "        987.67866667, 1039.3465    , 1044.7805    , 1045.97366667,\n",
+       "       1037.45883333, 1019.985     , 1004.55516667, 1023.6325    ,\n",
+       "       1036.96783333, 1041.41083333, 1032.01833333, 1033.33733333,\n",
+       "       1014.88833333,  944.87583333,  936.502     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wind_Speed_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.16 5.894 8.498 ... 5.369 4.622</div><input id='attrs-02532492-9ce3-4e03-b946-0264154eae8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02532492-9ce3-4e03-b946-0264154eae8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81a9f8bb-e424-4500-993f-fd43dc8bc7da' class='xr-var-data-in' type='checkbox'><label for='data-81a9f8bb-e424-4500-993f-fd43dc8bc7da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.11570833e+01,  5.89427966e+00,  8.49750000e+00,  8.60333333e+00,\n",
+       "        4.36416667e+00,  7.11483333e+00,  1.18605263e+01,  1.14321667e+01,\n",
+       "        1.05190000e+01,  1.33138333e+01, -3.40732149e+05, -8.88888000e+05,\n",
+       "       -2.29870456e+05,  2.39438746e+01,  2.50038983e+01,  1.21800368e+01,\n",
+       "       -5.12792390e+04,  3.56643281e+00,  4.19823714e+00,  3.78678250e+00,\n",
+       "        4.40232698e+00,  2.53232983e+00, -3.06494515e+04, -3.29192316e+04,\n",
+       "       -1.58688684e+04,  4.26214440e+00,  3.45282250e+00,  2.48603233e+00,\n",
+       "        4.24737250e+00,  4.84331625e+00,  2.99233764e+00,  5.26833720e+00,\n",
+       "        3.70530211e+00,  5.36878286e+00,  4.62200000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wind_Direction_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>209.8 264.1 305.2 ... 208.7 246.0</div><input id='attrs-befa85aa-1da7-43ad-a3a0-cd51ddb84c8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-befa85aa-1da7-43ad-a3a0-cd51ddb84c8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5a633ed-a6ba-4f9b-8e72-f2576aed3b31' class='xr-var-data-in' type='checkbox'><label for='data-a5a633ed-a6ba-4f9b-8e72-f2576aed3b31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg 0-360 cw from +y</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([209.80651667, 264.10282712, 305.16475167, 309.61287833,\n",
+       "       306.788105  , 251.857515  , 247.32572105, 240.63573167,\n",
+       "       233.57819   , 215.23085333, 195.75204865,          nan,\n",
+       "       198.70933488, 200.69067797, 192.65495085, 184.22670526,\n",
+       "       260.85678163, 310.42979825, 233.72422321, 161.11451667,\n",
+       "       190.95059434, 146.86582983, 232.13829679, 267.95219038,\n",
+       "       233.65555818, 260.057838  , 264.50172321, 230.25202867,\n",
+       "       271.67352679, 284.00753036, 220.97777818, 267.114984  ,\n",
+       "       250.4508807 , 208.73636429, 245.99182   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Solar_Zenith_Angle_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.11 33.72 33.23 ... 52.34 53.46</div><input id='attrs-ae810eaa-b5ce-4a7f-b2dc-1d6c7f0a21c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae810eaa-b5ce-4a7f-b2dc-1d6c7f0a21c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-418a690a-3ec4-4aba-ab1c-7d9640aced38' class='xr-var-data-in' type='checkbox'><label for='data-418a690a-3ec4-4aba-ab1c-7d9640aced38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([34.11454545, 33.724     , 33.23033333, 32.75216667, 32.276     ,\n",
+       "       31.78866667, 31.40983333, 31.41483333, 31.5       , 31.57233333,\n",
+       "       31.60231622,         nan, 31.74333333, 31.3615    , 30.737     ,\n",
+       "       30.1465    , 30.18016667, 29.97216667, 30.1195    , 30.667     ,\n",
+       "       31.53633333, 32.3545    , 33.17616667, 34.11566667, 35.87583333,\n",
+       "       37.992     , 39.842     , 41.04133333, 42.25883333, 44.064     ,\n",
+       "       46.4545    , 48.846     , 50.474     , 52.34233333, 53.456     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Aircraft_Sun_Elevation_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.14 58.33 57.24 ... 37.83 37.07</div><input id='attrs-a07c9756-41ac-4807-8e55-c5d9562aa1cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a07c9756-41ac-4807-8e55-c5d9562aa1cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d45db8e5-30f5-4d51-9751-e5c57df80676' class='xr-var-data-in' type='checkbox'><label for='data-d45db8e5-30f5-4d51-9751-e5c57df80676' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([47.14272727, 58.3295    , 57.2415    , 57.38766667, 57.78133333,\n",
+       "       58.22433333, 57.70666667, 58.79133333, 58.89666667, 58.65066667,\n",
+       "       58.51791622,         nan, 59.27666667, 58.70066667, 59.77216667,\n",
+       "       53.8315    , 59.2165    , 56.38133333, 56.98466667, 58.43483333,\n",
+       "       57.71083333, 54.846     , 53.258     , 53.509     , 57.35116667,\n",
+       "       54.27      , 49.98433333, 44.93333333, 44.6565    , 46.96433333,\n",
+       "       47.52366667, 43.4425    , 35.192     , 37.82716667, 37.07      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sun_Azimuth_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>156.4 158.3 160.3 ... 249.3 250.3</div><input id='attrs-ef160c5f-22bb-4106-979f-677cd1d9a38a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef160c5f-22bb-4106-979f-677cd1d9a38a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9710b1a7-212d-42a9-8245-b2187645763b' class='xr-var-data-in' type='checkbox'><label for='data-9710b1a7-212d-42a9-8245-b2187645763b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([156.42318182, 158.29966667, 160.26066667, 161.84366667,\n",
+       "       163.2695    , 164.67583333, 166.20616667, 167.89316667,\n",
+       "       169.53683333, 171.20083333, 172.48081081,          nan,\n",
+       "       176.03577778, 177.57433333, 179.73716667, 183.51633333,\n",
+       "       188.78083333, 194.13783333, 199.98916667, 206.2575    ,\n",
+       "       212.292     , 216.031     , 218.91016667, 222.55733333,\n",
+       "       226.97383333, 230.75483333, 233.582     , 235.5915    ,\n",
+       "       237.82633333, 240.87233333, 243.69516667, 246.16816667,\n",
+       "       247.7395    , 249.26566667, 250.322     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Aircraft_Sun_Azimuth_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-42.9 -101.0 ... -85.83 24.78</div><input id='attrs-7421d4f9-9057-406c-a8e1-d66843104290' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7421d4f9-9057-406c-a8e1-d66843104290' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffad50b7-f48e-4ea6-8281-1ea9e1566052' class='xr-var-data-in' type='checkbox'><label for='data-ffad50b7-f48e-4ea6-8281-1ea9e1566052' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ -42.90272727, -100.97866667,  -95.66366667,  -94.31583333,\n",
+       "        -92.36666667,  -89.46366667, -101.3605    , -108.31566667,\n",
+       "       -104.33666667, -101.3265    ,  -98.99096486,           nan,\n",
+       "        -79.52316667,  -62.3745    ,  -52.5455    ,  -36.55016667,\n",
+       "         19.89816667,   25.1425    ,   55.0265    ,   75.08216667,\n",
+       "         47.35366667,  -46.04183333,  -31.996     ,   75.61883333,\n",
+       "        102.19716667,   51.49933333,  -55.90466667,  -21.5455    ,\n",
+       "         21.69083333,  141.607     ,   -0.43816667,    4.73416667,\n",
+       "        -29.51583333,  -85.82783333,   24.782     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Mixing_Ratio_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.1 4.411 1.337 ... 9.885 10.2</div><input id='attrs-23bf777b-8511-4e16-9152-4cceec19e99d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23bf777b-8511-4e16-9152-4cceec19e99d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b9f7df1-e3aa-47a0-8d9a-e8cb7b8041d0' class='xr-var-data-in' type='checkbox'><label for='data-9b9f7df1-e3aa-47a0-8d9a-e8cb7b8041d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>g/kg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([12.10131818,  4.41113333,  1.33666667,  0.21056667,  0.12153333,\n",
+       "        0.07828261,  0.073     ,  0.09001667,  0.08975793,  0.08956667,\n",
+       "        0.09908333,  0.08039623,         nan,         nan,  0.09605   ,\n",
+       "        5.64463333, 10.50275   , 12.21413333, 10.36235   ,  8.89655   ,\n",
+       "       10.43015   , 10.75645   ,  8.07578333, 12.61066842, 11.61475   ,\n",
+       "       10.79721667, 11.99023333,  9.27871667, 11.78028333, 14.57743333,\n",
+       "        9.22863333, 11.94466667, 11.218     ,  9.88483333, 10.2042    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Part_Press_Water_Vapor_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>17.67 4.978 0.9774 ... 12.9 14.97</div><input id='attrs-b10b6a08-3095-4cc6-9b3c-e169ab9cc85d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b10b6a08-3095-4cc6-9b3c-e169ab9cc85d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-510ed4cb-1dd2-4141-97ce-0ae0fa42dd45' class='xr-var-data-in' type='checkbox'><label for='data-510ed4cb-1dd2-4141-97ce-0ae0fa42dd45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([17.66536364,  4.97835   ,  0.9774    ,  0.10585   ,  0.054     ,\n",
+       "        0.03428261,  0.03185   ,  0.03991667,  0.03707936,  0.03316667,\n",
+       "        0.03668333,  0.02915094,         nan,         nan,  0.0524    ,\n",
+       "        6.11813333, 15.70396667, 18.58723333, 14.31986667, 10.05883333,\n",
+       "       12.91843333, 14.99053333, 11.77001667, 19.43396842, 17.65955   ,\n",
+       "       15.72595   , 16.91696667, 13.10621667, 18.19648333, 22.75813333,\n",
+       "       13.28225   , 17.37158333, 15.51955   , 12.90018333, 14.9692    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sat_Vapor_Press_H2O_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>39.16 15.16 2.144 ... 31.97 56.63</div><input id='attrs-8f6da8e2-1cb1-4d91-a1dc-b8c95d335a33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f6da8e2-1cb1-4d91-a1dc-b8c95d335a33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13971899-b14c-45a1-a6a5-938db420a575' class='xr-var-data-in' type='checkbox'><label for='data-13971899-b14c-45a1-a6a5-938db420a575' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([39.16036364, 15.16078333,  2.14373333,  0.3976    ,  0.21205   ,\n",
+       "        0.23653333,  0.25686667,  0.26088333,  0.18935   ,  0.09946667,\n",
+       "        0.09133333,  0.08723333,  0.09813333,  0.10906667,  0.28795   ,\n",
+       "       10.40191667, 41.72178333, 43.23066667, 32.93011667, 14.51713333,\n",
+       "       22.24863333, 34.36048333, 37.86751667, 28.77843333, 30.54023333,\n",
+       "       38.88861667, 37.14273333, 34.67208333, 30.64341667, 26.35675   ,\n",
+       "       35.05286667, 42.45576667, 32.55436667, 31.96525   , 56.627     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sat_Vapor_Press_Ice_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>51.57 17.69 1.908 ... 41.26 79.07</div><input id='attrs-278eab0e-bdd3-46cc-a731-2f068c481ae8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-278eab0e-bdd3-46cc-a731-2f068c481ae8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d075f03-2ed3-4ab8-b708-c0d771ba7c6d' class='xr-var-data-in' type='checkbox'><label for='data-4d075f03-2ed3-4ab8-b708-c0d771ba7c6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([5.15687727e+01, 1.76901667e+01, 1.90821667e+00, 2.91766667e-01,\n",
+       "       1.42983333e-01, 1.62983333e-01, 1.78000000e-01, 1.81283333e-01,\n",
+       "       1.28950000e-01, 6.09833333e-02, 5.88833333e-02, 5.56333333e-02,\n",
+       "       6.13833333e-02, 6.94833333e-02, 2.12783333e-01, 1.16846500e+01,\n",
+       "       5.54534000e+01, 5.77240667e+01, 4.26187667e+01, 1.63759667e+01,\n",
+       "       2.69583333e+01, 4.42320167e+01, 4.94861500e+01, 3.61146000e+01,\n",
+       "       3.86340500e+01, 5.10733667e+01, 4.83995667e+01, 4.46731667e+01,\n",
+       "       3.88564333e+01, 3.25325000e+01, 4.52428167e+01, 5.65243000e+01,\n",
+       "       4.16286167e+01, 4.12563500e+01, 7.90708000e+01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Relative_Humidity_YANG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>44.55 36.16 39.85 ... 45.6 26.45</div><input id='attrs-973f54f6-ba37-4a5f-a539-8d1faab3a39f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-973f54f6-ba37-4a5f-a539-8d1faab3a39f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f71f24f-4186-417d-9282-38f0760828d4' class='xr-var-data-in' type='checkbox'><label for='data-9f71f24f-4186-417d-9282-38f0760828d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([44.54554545, 36.15866667, 39.84571667, 25.13281667, 25.46783333,\n",
+       "       15.03904348, 12.69848333, 15.29068333, 22.45441429, 33.29545   ,\n",
+       "       39.44976667, 33.7469717 ,         nan,         nan,  8.6712145 ,\n",
+       "       63.67495   , 37.66901667, 43.12523333, 47.43051667, 69.30186667,\n",
+       "       60.41175   , 43.8483    , 31.21103333, 72.41993158, 61.10563333,\n",
+       "       40.40876667, 45.69365   , 38.11678333, 65.9444    , 87.1975    ,\n",
+       "       37.97603333, 40.98026667, 47.91798333, 45.59643333, 26.4492    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_obs</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.058e+04 6.749e+04 ... 9.296e+04</div><input id='attrs-ab172016-bbbf-4013-a23c-635500c56927' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab172016-bbbf-4013-a23c-635500c56927' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7c7b3cf-b57b-4464-9a99-4c23728ec4bc' class='xr-var-data-in' type='checkbox'><label for='data-a7c7b3cf-b57b-4464-9a99-4c23728ec4bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>hPa</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([90580.645     , 67488.301     , 42224.16466667, 30128.312     ,\n",
+       "       27574.8265    , 27604.71466667, 27608.72283333, 27616.54816667,\n",
+       "       25399.04183333, 22862.67983333, 22869.08666667, 22861.083     ,\n",
+       "       22860.38983333, 22862.86366667, 27094.57983333, 62818.63516667,\n",
+       "       94309.362     , 96529.617     , 86481.1735    , 71318.72766667,\n",
+       "       77959.32183333, 88196.96683333, 91882.49466667, 97463.68583333,\n",
+       "       95461.48233333, 91989.63983333, 89468.41016667, 89237.3865    ,\n",
+       "       97437.56083333, 99426.251     , 90747.4095    , 92224.45733333,\n",
+       "       87211.21633333, 82435.3235    , 92960.81      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_obs</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>300.6 284.0 258.1 ... 297.1 308.7</div><input id='attrs-87f0040e-f3b3-4912-9d31-5f40baabcfde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87f0040e-f3b3-4912-9d31-5f40baabcfde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f389f42-7031-4f33-afb5-3dfec0a6b4c8' class='xr-var-data-in' type='checkbox'><label for='data-1f389f42-7031-4f33-afb5-3dfec0a6b4c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([300.61058333, 283.97924   , 258.09673333, 239.722275  ,\n",
+       "       234.34000667, 235.54696   , 236.32334833, 236.53953   ,\n",
+       "       232.96836833, 227.47596667, 226.75608667, 226.381935  ,\n",
+       "       227.3565    , 228.343865  , 234.391695  , 276.54919167,\n",
+       "       302.74182   , 303.51202167, 297.61294   , 285.52172833,\n",
+       "       291.66519   , 299.43936333, 301.157055  , 296.23189833,\n",
+       "       297.31227667, 301.55300667, 300.80926667, 299.64584167,\n",
+       "       297.26673   , 294.98283833, 299.80823   , 303.15451   ,\n",
+       "       298.33906833, 297.10405667, 308.6696    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TAS_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>116.8 169.2 220.7 ... 114.6 40.55</div><input id='attrs-213de2d9-5167-4ab1-9a23-2b65a6e272d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-213de2d9-5167-4ab1-9a23-2b65a6e272d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7328317-6ae8-454c-993b-0728564fb696' class='xr-var-data-in' type='checkbox'><label for='data-b7328317-6ae8-454c-993b-0728564fb696' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([116.80489444, 169.23701333, 220.703575  , 242.78724333,\n",
+       "       249.82132333, 254.33985667, 253.64243167, 253.54357   ,\n",
+       "       250.171355  , 250.06951833, 250.56321   , 251.08420833,\n",
+       "       251.15884667, 252.48480167, 235.477105  , 181.690555  ,\n",
+       "       126.25418333, 121.16045667, 137.252845  , 150.10549   ,\n",
+       "       138.67169167, 119.39165333, 111.92198   , 117.29298833,\n",
+       "       112.18636167, 116.00011333, 119.83204   , 111.55296167,\n",
+       "       111.26791833, 109.13397667, 111.08467667, 116.24526   ,\n",
+       "       119.86882333, 114.59326333,  40.5547    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.64 4.681 6.451 ... 1.282 0.4046</div><input id='attrs-dfeeed8e-f977-4527-9b81-0eb56aa66c5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfeeed8e-f977-4527-9b81-0eb56aa66c5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6f98129-8e9d-4a2b-9b30-d84909d8d07f' class='xr-var-data-in' type='checkbox'><label for='data-c6f98129-8e9d-4a2b-9b30-d84909d8d07f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 7.64004111,  4.680648  ,  6.45095067,  5.4103625 ,  1.20184578,\n",
+       "        4.57653583,  8.70677067,  7.63132217,  6.18028233,  5.23442483,\n",
+       "        0.74721333,  1.80662302,  3.7850415 ,  6.50015167,  4.4077087 ,\n",
+       "        0.12067617,  1.09825533,  2.63641283,  0.97555083,  0.11505962,\n",
+       "        1.94904437, -0.11876913,  1.2144208 ,  2.21368833,  2.79263067,\n",
+       "        2.654393  ,  2.05875267,  0.68537388,  4.5035825 ,  6.17694667,\n",
+       "        3.619503  ,  5.47749783,  1.7048557 ,  1.2817915 ,  0.40457   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.357 1.246 -4.795 ... 4.4 -0.4536</div><input id='attrs-4fe48877-b4ea-44fc-abc4-6a8955b64462' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fe48877-b4ea-44fc-abc4-6a8955b64462' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-056270fa-d794-4add-bd82-ba9f4d5c2c39' class='xr-var-data-in' type='checkbox'><label for='data-056270fa-d794-4add-bd82-ba9f4d5c2c39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 9.35748556,  1.24643707, -4.7954565 , -6.13744233, -3.41733683,\n",
+       "        1.2164765 ,  4.05216867,  5.2974515 ,  6.09227367, 10.560935  ,\n",
+       "       13.07784617, 14.11489833, 16.70919167, 21.01816833, 22.87795167,\n",
+       "        8.68175917,  0.03260135, -2.13059467,  1.17512773,  3.90376443,\n",
+       "        4.9732455 ,  1.04598843,  1.14746752, -0.72617312,  0.3482872 ,\n",
+       "        0.45265617,  1.80201673,  1.66966102,  0.48587167, -0.77513375,\n",
+       "        2.23631483,  0.8067313 ,  0.76027932,  4.40011833, -0.45356   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>W_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5702 -0.03717 ... 0.6598 1.201</div><input id='attrs-e703d673-4e24-4e41-bc9e-9118e0039c7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e703d673-4e24-4e41-bc9e-9118e0039c7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce3fd74a-36d3-4d6a-9abc-c993892b18af' class='xr-var-data-in' type='checkbox'><label for='data-ce3fd74a-36d3-4d6a-9abc-c993892b18af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.57018058, -0.03716995, -0.11038967, -0.16726797, -0.24813568,\n",
+       "       -0.38424715, -0.24262388, -0.18239473,  0.13271093,  0.11110635,\n",
+       "        0.16824424,  0.0067564 ,  0.02232106, -0.11001723,  0.24294557,\n",
+       "       -0.19591222,  0.14963515,  0.34245025,  0.1883489 ,  0.09984953,\n",
+       "        0.30469635,  0.2667672 ,  0.15366621,  0.1475139 ,  0.08337977,\n",
+       "        0.13028678,  0.20697325,  0.06001834,  0.09016676,  0.03492577,\n",
+       "        0.04245843,  0.05091542,  0.19848857,  0.65982645,  1.20067   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEDR_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-7.569 -10.27 ... -7.066 -6.121</div><input id='attrs-b0105fd0-d606-49dc-a6a4-2c407f1194d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0105fd0-d606-49dc-a6a4-2c407f1194d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35144c09-5d5d-49d5-b8df-949ee8b9539d' class='xr-var-data-in' type='checkbox'><label for='data-35144c09-5d5d-49d5-b8df-949ee8b9539d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kW/kg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ -7.56850278, -10.27455467, -10.15437017,  -8.954471  ,\n",
+       "        -8.649373  ,  -9.5243635 ,  -9.7977325 , -10.09407617,\n",
+       "        -9.84513517,  -9.48541117,  -9.45635283,  -9.673822  ,\n",
+       "       -10.10250983,  -9.7799255 ,  -9.37847033,  -8.49488717,\n",
+       "        -7.94981553,  -7.38011167,  -6.82681867,  -6.57733933,\n",
+       "        -7.515689  ,  -7.56671617,  -9.44847583,  -9.10578617,\n",
+       "        -8.99699517,  -7.73217917,  -6.4838675 ,  -8.93940383,\n",
+       "        -9.96406867,  -8.50604117, -10.16007833,  -6.83976733,\n",
+       "        -7.222121  ,  -7.0655945 ,  -6.12108   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>REYN_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.83 5.402 5.435 ... 5.434 4.882</div><input id='attrs-26d10777-ab59-40d4-8569-a3d58caf9944' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26d10777-ab59-40d4-8569-a3d58caf9944' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-685dafca-9f2f-4f34-b0e3-d7a0c358f23c' class='xr-var-data-in' type='checkbox'><label for='data-685dafca-9f2f-4f34-b0e3-d7a0c358f23c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/m</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([5.82974278, 5.401984  , 5.43504733, 5.3588005 , 4.99233283,\n",
+       "       5.0555325 , 5.39958317, 5.38720033, 5.32375333, 5.439033  ,\n",
+       "       5.4849325 , 5.524383  , 5.59701633, 5.703633  , 5.7717495 ,\n",
+       "       5.58506433, 5.1920905 , 5.3019165 , 5.3025455 , 5.27209633,\n",
+       "       5.42379433, 5.045478  , 4.9470145 , 5.13760267, 5.23022033,\n",
+       "       5.18771417, 5.17370567, 5.1167805 , 5.44151767, 5.59606583,\n",
+       "       5.376681  , 5.522816  , 5.247101  , 5.43423717, 4.88193   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POT_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>309.3 318.6 330.8 ... 314.2 315.2</div><input id='attrs-f08d11d3-5796-4420-a0d0-4830fafd531e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f08d11d3-5796-4420-a0d0-4830fafd531e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dad7af97-bf2d-443f-a12b-11baa40fc948' class='xr-var-data-in' type='checkbox'><label for='data-dad7af97-bf2d-443f-a12b-11baa40fc948' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([309.29197222, 318.55123833, 330.84119167, 337.95321833,\n",
+       "       338.610325  , 340.24857333, 341.35580667, 341.640165  ,\n",
+       "       344.85726333, 346.77029833, 345.64508167, 345.10916167,\n",
+       "       346.59805333, 348.092305  , 341.45161667, 317.56203   ,\n",
+       "       307.91231333, 306.59044167, 310.74031667, 314.47111667,\n",
+       "       313.35295167, 310.39529667, 308.53775333, 298.48859   ,\n",
+       "       301.44435833, 308.85165333, 310.52796333, 309.554745  ,\n",
+       "       299.54803333, 295.46810333, 308.30092333, 310.24935833,\n",
+       "       310.33004333, 314.160335  , 315.1736    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ROLL_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.716 -0.5322 ... 5.305 0.2941</div><input id='attrs-f1513c13-0368-47fd-bb44-ab26f101d939' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1513c13-0368-47fd-bb44-ab26f101d939' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1724506-685d-4b95-af2a-539c02a50e83' class='xr-var-data-in' type='checkbox'><label for='data-f1724506-685d-4b95-af2a-539c02a50e83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 6.71645326e+00, -5.32221750e-01,  7.36679250e-02,  2.22815450e-01,\n",
+       "        1.39856217e-01,  1.17828933e-01,  1.16154065e+00,  8.52721633e-02,\n",
+       "        9.54326883e-02,  1.21220788e-01,  1.23099867e-01,  8.38511500e-02,\n",
+       "       -8.11541267e-01, -4.44483050e-01, -6.25327500e-01,  1.30732816e+01,\n",
+       "        3.85185255e+00, -1.13287135e+00, -4.00165583e-01, -1.91159517e-01,\n",
+       "        2.95007050e+00,  1.25340433e-01, -1.01984883e+00, -2.30378837e+00,\n",
+       "       -1.25290319e+00, -6.77357167e-02, -2.11059945e+00, -2.78434033e-01,\n",
+       "       -1.45849350e+00, -1.84674645e+00,  7.09456667e-03, -3.59864087e+00,\n",
+       "        8.91239767e-01,  5.30544380e+00,  2.94140000e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HDG_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>210.0 268.9 262.8 ... 88.5 234.0</div><input id='attrs-3c91a280-71bc-4ea6-9693-f4936652e75f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c91a280-71bc-4ea6-9693-f4936652e75f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0dde9d5-d2b0-4ef7-b023-47d87f91fae0' class='xr-var-data-in' type='checkbox'><label for='data-f0dde9d5-d2b0-4ef7-b023-47d87f91fae0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([209.98296111, 268.85762   , 262.82901667, 261.93232   ,\n",
+       "       260.087855  , 258.245955  , 271.844655  , 280.26851667,\n",
+       "       279.14955667, 277.32453667, 275.88703167, 274.51267   ,\n",
+       "       264.17998667, 244.923645  , 236.07556167, 183.25330667,\n",
+       "       153.71028333, 171.22289667, 142.60019833, 130.834595  ,\n",
+       "       162.499845  , 269.56960667, 259.04213   , 147.52470167,\n",
+       "        74.68219167,  74.15216667, 266.78786333, 262.37858667,\n",
+       "       219.09131167,  99.56773667,  63.96244   , 161.93934   ,\n",
+       "       281.7956    ,  88.4973415 , 234.0139    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PITCH_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.703 5.061 ... 0.9531 -0.02793</div><input id='attrs-7628acba-2390-459a-8390-b4f6c9e3a772' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7628acba-2390-459a-8390-b4f6c9e3a772' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7697c30-db28-4056-a965-cde641a7ca0e' class='xr-var-data-in' type='checkbox'><label for='data-f7697c30-db28-4056-a965-cde641a7ca0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 7.70327278,  5.06142233,  2.97401967,  2.18775183,  1.33014783,\n",
+       "        1.09981833,  1.0680325 ,  1.06863133,  1.82780933,  1.50050267,\n",
+       "        1.40099867,  1.35924733,  1.37902167,  1.32216717,  0.04333292,\n",
+       "       -1.56067552,  2.6238095 ,  3.87646533,  4.7257855 ,  2.74745717,\n",
+       "        1.82334077,  4.42744883,  4.74512683,  3.54988067,  5.3461315 ,\n",
+       "        4.43421963,  4.17239467,  4.875593  ,  3.67834033,  4.439625  ,\n",
+       "        5.52506517,  4.34928733,  5.0806735 ,  0.95309233, -0.027929  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YAW_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.468 -2.65 ... -1.955 0.2778</div><input id='attrs-035bec08-217b-40d2-90fe-1e6b0805101a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-035bec08-217b-40d2-90fe-1e6b0805101a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aaa91ee-7a6f-46d9-b23f-0f214392347e' class='xr-var-data-in' type='checkbox'><label for='data-2aaa91ee-7a6f-46d9-b23f-0f214392347e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-2.46820722, -2.64971683, -2.45055083, -2.33018367, -2.31395017,\n",
+       "       -2.34055033, -2.327316  , -2.35989967, -2.37816633, -2.34774967,\n",
+       "       -2.33386617, -2.349416  , -2.36815167, -2.3889295 , -2.3872125 ,\n",
+       "       -2.22730067, -2.35210933, -2.64725717, -2.7501055 , -2.57732617,\n",
+       "       -2.384266  , -2.25007833, -2.68170133, -2.51006183, -2.66017133,\n",
+       "       -2.39865367, -2.54667367, -2.57859667, -2.6634375 , -2.631104  ,\n",
+       "       -2.50674717, -2.77722033, -2.54026517, -1.95476283,  0.27783   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AOA_BUI</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.891 2.686 1.573 ... 3.203 2.903</div><input id='attrs-0259075f-a4f0-4978-a22f-ab46d37e9e85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0259075f-a4f0-4978-a22f-ab46d37e9e85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2da798e4-4ae3-4560-b6d2-59b44dedcbb1' class='xr-var-data-in' type='checkbox'><label for='data-2da798e4-4ae3-4560-b6d2-59b44dedcbb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>deg</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([4.89052944, 2.68555783, 1.57278717, 1.492049  , 1.27871383,\n",
+       "       1.02011633, 1.05121717, 1.01911667, 1.36136417, 1.52300083,\n",
+       "       1.43675033, 1.35625   , 1.35461883, 1.26883333, 1.7204365 ,\n",
+       "       2.0939135 , 3.71006883, 3.95554417, 3.03061867, 2.80255217,\n",
+       "       3.4463865 , 4.49156317, 5.03235983, 4.00844267, 4.55322033,\n",
+       "       4.47919583, 4.15790917, 4.96900233, 4.3916975 , 4.37022333,\n",
+       "       4.77180617, 4.1706675 , 3.92173517, 3.20340383, 2.90343   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Smoke_flag_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-611a4d37-11cb-47fd-9f86-33a723d5a0f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-611a4d37-11cb-47fd-9f86-33a723d5a0f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cba5e394-7b1d-4e2e-95c6-3437543b02a0' class='xr-var-data-in' type='checkbox'><label for='data-cba5e394-7b1d-4e2e-95c6-3437543b02a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transect_type_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-8f1553d5-b093-40d3-aac2-3155ab872d63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f1553d5-b093-40d3-aac2-3155ab872d63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-527f23c1-b3ae-4e4b-86da-f8b12210d952' class='xr-var-data-in' type='checkbox'><label for='data-527f23c1-b3ae-4e4b-86da-f8b12210d952' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fire_id_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-73dc0220-e0ad-435f-a2a9-6886419e0ea4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73dc0220-e0ad-435f-a2a9-6886419e0ea4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65fe4104-41c4-40c2-8b4b-f277d3fe60f9' class='xr-var-data-in' type='checkbox'><label for='data-65fe4104-41c4-40c2-8b4b-f277d3fe60f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Background_flag_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5c4ab6b1-7825-4b57-b949-a99902051c67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c4ab6b1-7825-4b57-b949-a99902051c67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27862ef5-c21b-4cb4-a3fe-ff5255402178' class='xr-var-data-in' type='checkbox'><label for='data-27862ef5-c21b-4cb4-a3fe-ff5255402178' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>integer</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transect_smoke_age_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ab8ada7f-c1ab-4603-b518-1f3580071fd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab8ada7f-c1ab-4603-b518-1f3580071fd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf59a826-ca84-4c68-9487-7721c1cb911f' class='xr-var-data-in' type='checkbox'><label for='data-cf59a826-ca84-4c68-9487-7721c1cb911f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transect_smoke_MCE_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-f2f9e4ee-8d88-4e1f-acbc-93610ba392ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2f9e4ee-8d88-4e1f-acbc-93610ba392ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d467929a-6882-4bf8-ab4d-98fa9b076bd0' class='xr-var-data-in' type='checkbox'><label for='data-d467929a-6882-4bf8-ab4d-98fa9b076bd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transect_number_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-b9225eb2-623a-43be-a15d-07056bbf980d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9225eb2-623a-43be-a15d-07056bbf980d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d6e3f63-45fc-4756-a076-6963abc90832' class='xr-var-data-in' type='checkbox'><label for='data-9d6e3f63-45fc-4756-a076-6963abc90832' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transect_plume_number_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9b3387c8-f522-4498-b066-cb2eecf7ffde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b3387c8-f522-4498-b066-cb2eecf7ffde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a6c2bff-e029-4957-8250-6486bb90125c' class='xr-var-data-in' type='checkbox'><label for='data-8a6c2bff-e029-4957-8250-6486bb90125c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transect_mce_ODR_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-292e0161-0c64-4714-a7fa-9f70bc050a5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-292e0161-0c64-4714-a7fa-9f70bc050a5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60845956-32a8-43a7-b4ca-c5a63705331f' class='xr-var-data-in' type='checkbox'><label for='data-60845956-32a8-43a7-b4ca-c5a63705331f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transect_mce_odr_chisq_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-11d44b4c-e3a3-4cbf-9a48-1a5543744709' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11d44b4c-e3a3-4cbf-9a48-1a5543744709' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7664b536-f915-4782-ad90-e64552bd46ab' class='xr-var-data-in' type='checkbox'><label for='data-7664b536-f915-4782-ad90-e64552bd46ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fire_distance_estimate_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-be90f032-6d7d-4501-be5e-2b8c4b20f7ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be90f032-6d7d-4501-be5e-2b8c4b20f7ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f2165e0-96ec-457e-8205-62b52d06bb48' class='xr-var-data-in' type='checkbox'><label for='data-3f2165e0-96ec-457e-8205-62b52d06bb48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2O_DLH_DISKIN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.543e+04 6.211e+03 ... nan</div><input id='attrs-f17c083e-9394-406b-be4b-c76ad204d7b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f17c083e-9394-406b-be4b-c76ad204d7b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72cb18f0-5e8c-4a80-b92d-d24d331a3405' class='xr-var-data-in' type='checkbox'><label for='data-72cb18f0-5e8c-4a80-b92d-d24d331a3405' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppmv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([15434.4       ,  6211.08516667,  2283.93341667,   378.95815   ,\n",
+       "         245.71535   ,   133.38873333,   137.01556667,   173.5208    ,\n",
+       "         103.73226667,   181.0072    ,   207.0714    ,   152.59458333,\n",
+       "          53.57645   ,    35.64546667,    97.06127333,  8747.06978333,\n",
+       "       14538.05666667, 16403.005     , 14086.04666667, 12568.79666667,\n",
+       "       14643.10333333, 14729.03833333, 10972.87183333, 17336.97566667,\n",
+       "       15784.9895    , 14615.59033333, 16116.36333333, 12469.44466667,\n",
+       "       15716.6       , 19602.715     , 12467.50666667, 15970.625     ,\n",
+       "       15040.45166667, 13402.03220339,            nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHi_DLH_DISKIN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 56.94 48.63 ... nan nan nan</div><input id='attrs-3ccc181e-f4e4-4093-9e4a-366740653cab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ccc181e-f4e4-4093-9e4a-366740653cab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b6c6229-b523-4128-b2c4-5d6e97154441' class='xr-var-data-in' type='checkbox'><label for='data-2b6c6229-b523-4128-b2c4-5d6e97154441' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan, 56.94      , 48.631975  , 38.99368333, 46.3184    ,\n",
+       "       22.30280167, 20.77316667, 25.61671667, 23.63323333, 62.43198333,\n",
+       "       77.70321667, 60.2521    , 18.89663333, 11.08715   , 14.59332833,\n",
+       "       81.698172  ,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHw_DLH_DISKIN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.28 32.86 42.68 ... 39.77 nan</div><input id='attrs-0224bc11-2cab-4737-8811-0b599670fdf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0224bc11-2cab-4737-8811-0b599670fdf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6ba7608-d585-48df-9797-a2d37b884864' class='xr-var-data-in' type='checkbox'><label for='data-d6ba7608-d585-48df-9797-a2d37b884864' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([37.28      , 32.86008333, 42.68486167, 28.28035   , 31.79043333,\n",
+       "       15.45882167, 14.52026667, 17.94713333, 15.77781667, 40.3238    ,\n",
+       "       49.88933333, 38.54633333, 12.18528333,  7.21443333, 10.05105133,\n",
+       "       65.80388833, 33.04035   , 36.60553333, 41.04443333, 62.36066667,\n",
+       "       54.12173333, 38.06446667, 26.73855   , 64.05121667, 53.0087    ,\n",
+       "       34.67938333, 38.94526667, 32.38365   , 56.16093333, 75.06428333,\n",
+       "       32.45905   , 34.69858333, 40.78343333, 39.77095932,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2O_LGR_ppmv_PEISCHL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.663e+04 6.709e+03 ... nan</div><input id='attrs-125bd9fe-c6c3-4ea2-8f2c-df35ac54a8e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-125bd9fe-c6c3-4ea2-8f2c-df35ac54a8e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dcbe8a4-4f46-4026-ab54-450fc0f38d74' class='xr-var-data-in' type='checkbox'><label for='data-3dcbe8a4-4f46-4026-ab54-450fc0f38d74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppmv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([16633.33684211,  6708.8225    ,  2508.29433333,   572.55103333,\n",
+       "         413.89533333,   315.78141667,   312.80751607,   350.52783333,\n",
+       "         311.73333333,   370.70411579,   387.87958333,   323.2505    ,\n",
+       "         275.79641667,   275.54743333,   299.627     ,  9421.18184211,\n",
+       "       15793.86333333, 17783.435     , 15168.86666667, 13230.2245614 ,\n",
+       "       15638.30333333, 15982.35833333, 11879.09216667, 19082.64350877,\n",
+       "       17212.93833333, 16017.90166667, 17574.20833333, 13703.48666667,\n",
+       "       17307.98366667, 21475.32156863, 13713.51964286, 17477.66166667,\n",
+       "       16407.73      , 14233.75762712,            nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>O3_CL_RYERSON</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>52.38 57.26 70.08 ... 87.86 nan</div><input id='attrs-20d221ba-d515-4fac-a817-b55215adfc50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20d221ba-d515-4fac-a817-b55215adfc50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f24f619b-9645-4862-98e3-19bab56654e1' class='xr-var-data-in' type='checkbox'><label for='data-f24f619b-9645-4862-98e3-19bab56654e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 52.3823875 ,  57.26096167,  70.07608667,  87.32419   ,\n",
+       "        89.53437667,  97.93645333,  94.38929167,  93.81068167,\n",
+       "        97.274515  ,  94.134165  ,  89.548535  ,  94.25905   ,\n",
+       "        92.43466667,  44.482215  ,  42.33178833,  61.094365  ,\n",
+       "        70.69938833,  83.95310333,  79.43176833,  64.518065  ,\n",
+       "        69.02060833,  77.50895167,  38.90473167,  38.853705  ,\n",
+       "        35.02805833,  67.96827833, 103.52611333,  64.255445  ,\n",
+       "        36.28989167,  35.57755833,  41.769175  ,  99.33303   ,\n",
+       "        96.61034   ,  87.8638    ,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NO_CL_RYERSON</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07582 0.02055 ... 0.09768 nan</div><input id='attrs-f9f9f882-34d8-4da5-a2bf-78d744bbe5ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9f9f882-34d8-4da5-a2bf-78d744bbe5ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52c33179-5aa4-497b-85fe-48546befc5ce' class='xr-var-data-in' type='checkbox'><label for='data-52c33179-5aa4-497b-85fe-48546befc5ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.07582129, 0.02054845, 0.0269833 , 0.13893338, 0.14147612,\n",
+       "       0.10201765, 0.13423022, 0.09595428, 0.2413315 , 0.43568222,\n",
+       "       0.44766767, 0.31306711, 0.17041858, 0.056555  , 0.05955414,\n",
+       "       0.02063032, 0.10400053, 0.250691  , 0.16636969, 0.0599247 ,\n",
+       "       0.20206028, 0.45131918, 0.2472405 , 0.01323408, 0.00796142,\n",
+       "       0.17726585, 0.82603684, 0.32626211, 0.00851575, 0.00722177,\n",
+       "       0.00702651, 0.21688372, 0.65983628, 0.09767855,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NO2_CL_RYERSON</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.04742 ... 0.8653 nan</div><input id='attrs-911f18b2-859b-491c-8315-c491873ebef1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-911f18b2-859b-491c-8315-c491873ebef1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03ef58de-9b73-4f34-b3a2-a4c7c32b1e37' class='xr-var-data-in' type='checkbox'><label for='data-03ef58de-9b73-4f34-b3a2-a4c7c32b1e37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan, 0.04742483, 0.10397583, 0.11766244,\n",
+       "              nan, 0.05907   , 0.05137605, 0.08402151, 0.0972905 ,\n",
+       "       0.09681077, 0.07356626, 0.02952731, 0.02241567, 0.01736363,\n",
+       "       0.03477885, 0.90098139, 1.72897364, 0.90403513, 0.22412136,\n",
+       "       0.85012465, 1.89530202, 0.48454152, 0.0715646 , 0.06288202,\n",
+       "       1.22619825, 4.70416   , 1.39818194, 0.06477678, 0.08040269,\n",
+       "       0.08497298, 3.81127102, 4.01750398, 0.86527947,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NOy_CL_RYERSON</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.091 0.5924 0.6048 ... 4.969 nan</div><input id='attrs-00fc85d4-9793-4d75-b2aa-01dc415d4e89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00fc85d4-9793-4d75-b2aa-01dc415d4e89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba090432-acad-4a7a-a097-05f3003d864a' class='xr-var-data-in' type='checkbox'><label for='data-ba090432-acad-4a7a-a097-05f3003d864a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.09053286,  0.59238246,  0.60477333,  0.97276283,  0.98205702,\n",
+       "        0.81983211,  0.82969571,  0.73003397,  0.928349  ,  1.16895296,\n",
+       "        1.132944  ,  0.98124053,  0.68331895,  0.1061367 ,  0.07189416,\n",
+       "        0.64715386,  3.10067719,  5.8448145 ,  4.2597863 ,  1.65641439,\n",
+       "        3.3126607 ,  6.43792842,  2.16156315,  0.72711133,  0.54415964,\n",
+       "        4.95571685, 13.72835632,  6.05632453,  0.76999917,  0.60828151,\n",
+       "        0.82098055, 10.27790746, 12.40572474,  4.96937089,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>O3_ROZE_HANISCO</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>55.4 57.12 69.55 ... 81.27 nan</div><input id='attrs-47deb37a-a9da-454c-8b01-bb253b5839c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47deb37a-a9da-454c-8b01-bb253b5839c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c83f0ef3-8a4a-43c1-b7dd-6ef8e86bd64a' class='xr-var-data-in' type='checkbox'><label for='data-c83f0ef3-8a4a-43c1-b7dd-6ef8e86bd64a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 55.40395455,  57.11785   ,  69.54629333,  86.2699    ,\n",
+       "        87.63046167,  96.57467667,  93.13969333,  91.979195  ,\n",
+       "        95.22163833,  91.69368333,  87.36998833,  92.087505  ,\n",
+       "        90.50566167,  42.7542    ,  40.43931667,  60.94828333,\n",
+       "        74.23626167,  88.73454333,  80.70191   ,  64.042125  ,\n",
+       "        68.61404833,  77.23475   ,  38.66201167,  40.04333167,\n",
+       "        35.81017667,  68.46591167, 103.104845  ,  63.13025   ,\n",
+       "        36.769565  ,  36.53263333,  40.98997333,  98.42869333,\n",
+       "        94.73687667,  81.26658276,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NO_LIF_ROLLINS</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 23.08 41.56 ... 626.0 99.52 nan</div><input id='attrs-7d665699-e2c6-4518-85af-be969570f28b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d665699-e2c6-4518-85af-be969570f28b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39256dcf-e748-4985-89db-f85079de3133' class='xr-var-data-in' type='checkbox'><label for='data-39256dcf-e748-4985-89db-f85079de3133' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan,  23.08143127,  41.55736717, 190.86982895,\n",
+       "       195.00996333, 170.48888   , 167.394475  , 124.79492667,\n",
+       "       311.30534333, 437.41482051, 554.56319167, 394.778675  ,\n",
+       "       259.16967167,  92.53265167,  96.257205  ,  23.217885  ,\n",
+       "       122.985375  , 266.18510167, 196.08207   ,  84.88431458,\n",
+       "       207.0149935 , 419.25713   , 216.017805  ,  19.3706425 ,\n",
+       "        18.27261367, 138.71667385, 845.7301    , 367.84814667,\n",
+       "        17.07526167,  20.603646  ,  22.84731333, 237.37749667,\n",
+       "       625.95209333,  99.52087297,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NO2_ACES_WOMACK</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1758 -0.003761 ... 0.7282 nan</div><input id='attrs-f9faff6e-8d54-4c18-b713-1aca6e191f36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9faff6e-8d54-4c18-b713-1aca6e191f36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e8cf482-9119-44c2-bc07-71d4b5ee1926' class='xr-var-data-in' type='checkbox'><label for='data-4e8cf482-9119-44c2-bc07-71d4b5ee1926' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.75764706e-01, -3.76103704e-03,  3.00000000e-03,             nan,\n",
+       "                   nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan,             nan, -1.34931034e-01,\n",
+       "        9.03356379e-01,  1.89860914e+00,  1.07282759e+00,  1.73677170e-01,\n",
+       "        7.78894138e-01,  1.74104483e+00,  4.38110845e-01, -3.84870690e-02,\n",
+       "       -6.94697727e-03,  1.24069180e+00,  4.74106034e+00,  1.77970690e+00,\n",
+       "       -5.68965517e-02, -5.76206897e-02, -1.78388889e-03,  3.69111500e+00,\n",
+       "        4.14863793e+00,  7.28225192e-01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NO2_CANOE_STCLAIR</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ac726f76-e9b1-47b8-bbc9-44b47b6f1c4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac726f76-e9b1-47b8-bbc9-44b47b6f1c4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ea4a632-8d9a-4c7a-a4d0-ebd0f3745e3a' class='xr-var-data-in' type='checkbox'><label for='data-8ea4a632-8d9a-4c7a-a4d0-ebd0f3745e3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HNO2_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 4.482 ... 20.81 8.219 nan</div><input id='attrs-550d1ebb-077e-4b49-b566-bb28cd9bf6bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-550d1ebb-077e-4b49-b566-bb28cd9bf6bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0866d2c2-05eb-4a5b-a50e-b89491d091e5' class='xr-var-data-in' type='checkbox'><label for='data-0866d2c2-05eb-4a5b-a50e-b89491d091e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan,          nan,   4.48178387,   3.31762115,\n",
+       "         3.22877596,   3.71360148,   4.15626902,   4.36853386,\n",
+       "         4.79250784,   4.71861842,   5.89376538,   9.0951569 ,\n",
+       "         7.91646538,   8.742379  ,   9.29660943, 138.0231    ,\n",
+       "        86.21027931,  49.8422    ,   8.80381481,   2.71313725,\n",
+       "        10.62792877,  24.86749944,  14.89954157,  15.60514717,\n",
+       "        14.33853793,   6.89557931,  31.85594423,  12.29661579,\n",
+       "         6.17079741,   0.82729667,   3.75568333,  14.76333647,\n",
+       "        20.81322105,   8.21938633,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HNO2_ACES_WOMACK</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2256 0.1181 0.279 ... 0.1022 nan</div><input id='attrs-ecafee4f-44b5-4320-98ac-bb0f49873a73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecafee4f-44b5-4320-98ac-bb0f49873a73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a358cbc-01e3-4f22-9b41-5bcc083a36f7' class='xr-var-data-in' type='checkbox'><label for='data-8a358cbc-01e3-4f22-9b41-5bcc083a36f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.22558824,  0.11809704,  0.279     ,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "       -0.28909197, -0.05724707, -0.01122988,  0.03938914,  0.18541936,\n",
+       "       -0.13471431, -0.07648034,  0.120495  , -0.0275819 , -0.11127273,\n",
+       "       -0.24802907, -0.22098276, -0.17394828, -0.20043103, -0.10983621,\n",
+       "        0.03513574, -0.04147126, -0.10727586,  0.10224442,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HONO_SAGA_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>45.31 18.52 33.99 ... 87.0 nan</div><input id='attrs-ad5afd28-212a-4677-948c-b7242ab9b6ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad5afd28-212a-4677-948c-b7242ab9b6ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9daf7154-33cb-4885-a447-085f020db921' class='xr-var-data-in' type='checkbox'><label for='data-9daf7154-33cb-4885-a447-085f020db921' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 45.30526316,  18.52259333,  33.98963   ,  72.589815  ,\n",
+       "        77.89592667,  66.03740833,  69.39      ,  59.52037   ,\n",
+       "        52.28351833,  55.18777833,  61.48926   ,  46.11833333,\n",
+       "        29.880925  ,  23.67537167,  21.24055667,  17.21166667,\n",
+       "        56.49      , 101.68537   ,  72.56648167,  31.77259167,\n",
+       "        43.18407333, 103.215555  ,  35.87889   ,  22.19740667,\n",
+       "        20.08351833,  85.98536167, 214.49296167, 107.43777833,\n",
+       "        26.590925  ,  27.88333333,  14.02814833, 155.28370333,\n",
+       "       193.40634857,  87.        ,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HNO3+submicron-NO3_SAGA_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>558.2 357.6 198.1 ... 2.077e+03 nan</div><input id='attrs-d8bdebd4-4948-48ac-a8ce-872a5ce648eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8bdebd4-4948-48ac-a8ce-872a5ce648eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bee8ac16-6795-4dd9-9a0b-562f8bb6788d' class='xr-var-data-in' type='checkbox'><label for='data-bee8ac16-6795-4dd9-9a0b-562f8bb6788d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 558.23157895,  357.59277833,  198.12      ,  250.72203667,\n",
+       "        279.46277833,  252.83074167,  277.97333333,  252.80203667,\n",
+       "        257.325185  ,  225.85333333,  213.23296333,  259.07833333,\n",
+       "        223.92      ,   92.93796167,   64.40555667,  322.25111167,\n",
+       "        853.55      , 1345.27016667, 1502.6035    ,  834.08796167,\n",
+       "       1239.46240833, 2652.77966667, 2149.51783333, 1217.51683333,\n",
+       "       1178.43266667, 2159.90233333, 4365.04333333, 3507.9285    ,\n",
+       "       1441.31066667, 1268.72016667, 1060.7085    , 3584.56616667,\n",
+       "       4742.18742857, 2077.        ,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sulfate_lt_1um_SAGA_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.752 0.374 0.3215 ... 1.013 nan</div><input id='attrs-6254b350-c5aa-431d-a091-92c2a790d03a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6254b350-c5aa-431d-a091-92c2a790d03a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbb113be-4f82-496a-ac04-4b9a22fc2875' class='xr-var-data-in' type='checkbox'><label for='data-fbb113be-4f82-496a-ac04-4b9a22fc2875' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug std m-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.752     , 0.3740102 , 0.32152017, 0.14609128, 0.09870568,\n",
+       "       0.1271055 , 0.13292   , 0.1405205 , 0.1439545 , 0.11757022,\n",
+       "       0.1441305 , 0.10989167, 0.08419518, 0.09403212, 0.071435  ,\n",
+       "       0.3263125 , 1.06961833, 2.13631717, 1.62738217, 0.732609  ,\n",
+       "       1.03225783, 1.486123  , 0.92720417, 1.46189367, 1.4627905 ,\n",
+       "       1.18368267, 1.4759185 , 1.25919567, 1.2854015 , 1.94518883,\n",
+       "       0.87351067, 1.55771433, 1.40485714, 1.013     ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HNO3-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>188.3 156.0 106.8 ... nan nan</div><input id='attrs-30869058-9000-4ede-b7e7-f49712b06d74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30869058-9000-4ede-b7e7-f49712b06d74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68f30f42-fc9d-4403-bfd8-34c89f2e5efe' class='xr-var-data-in' type='checkbox'><label for='data-68f30f42-fc9d-4403-bfd8-34c89f2e5efe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 188.27639167,  156.03529167,  106.77073469,  206.71239184,\n",
+       "        205.14965918,  209.99647959,  198.02886122,  202.75945424,\n",
+       "        220.0207    ,  188.98026327,  151.40085   ,  245.45731837,\n",
+       "        249.711266  ,   31.67392281,   27.56267885,  139.94845   ,\n",
+       "        483.9552898 ,  673.2225    ,  916.95867619,  407.05658163,\n",
+       "        637.93785714, 1399.25089286,  723.19423396,  277.65969388,\n",
+       "        292.76673469, 1081.40061224, 2363.032     , 1714.88293704,\n",
+       "        287.89480727,  203.56072041,  386.97887755, 1913.34040816,\n",
+       "       2833.54390244,           nan,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PAN_GTCIMS_HUEY</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 1.176e+03 nan</div><input id='attrs-e6526240-aca8-493e-a49b-db30590aefdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6526240-aca8-493e-a49b-db30590aefdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-205d168d-88d6-4102-8388-4f1fa3d15d5a' class='xr-var-data-in' type='checkbox'><label for='data-205d168d-88d6-4102-8388-4f1fa3d15d5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([          nan,           nan,           nan,           nan,\n",
+       "                 nan,           nan,           nan,  212.029678  ,\n",
+       "        192.02055667,  194.56165789,  182.42160877,  194.95116167,\n",
+       "        162.15569123,   40.9607807 ,   34.92894333,  218.55693158,\n",
+       "        700.73440351, 1449.21121333,  890.26735439,  300.90804912,\n",
+       "        499.73907167,  771.71868421,   65.48836842,   71.00864833,\n",
+       "         39.34941754,  751.04374895, 1664.69445167,  546.14987965,\n",
+       "         44.18163649,   57.796615  ,   53.70558509, 1392.28133333,\n",
+       "       1341.820545  , 1175.57583036,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PPN_GTCIMS_HUEY</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 128.8 82.14 nan</div><input id='attrs-dff67f57-a4ce-4c84-a791-4bb34b6b9ca2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dff67f57-a4ce-4c84-a791-4bb34b6b9ca2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d0b80b6-8177-47ca-873a-695ce7fcceca' class='xr-var-data-in' type='checkbox'><label for='data-8d0b80b6-8177-47ca-873a-695ce7fcceca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan,          nan,          nan,          nan,\n",
+       "                nan,          nan,          nan,  10.4527372 ,\n",
+       "         8.90837217,   9.46186509,   9.15728877,   8.60019333,\n",
+       "         5.96235895,   0.85777718,   0.57724287,  11.93346684,\n",
+       "        45.92566737, 113.27369833,  52.73983193,  17.61584649,\n",
+       "        33.36241483,  54.00118754,   3.37915912,   6.114854  ,\n",
+       "         2.77610263,  59.01765421, 139.58638833,  47.82294585,\n",
+       "         2.8982353 ,   6.09826017,   4.55627853, 120.92052456,\n",
+       "       128.773262  ,  82.14397893,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>APAN_GTCIMS_HUEY</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 17.05 11.49 nan</div><input id='attrs-ce4041e1-04d7-435e-ad24-de8d038acf8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce4041e1-04d7-435e-ad24-de8d038acf8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca4db132-a60c-482c-b06d-d11db7580335' class='xr-var-data-in' type='checkbox'><label for='data-ca4db132-a60c-482c-b06d-d11db7580335' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,  1.8317056 ,  0.925838  ,  0.76537061,\n",
+       "        0.64151518,  0.60161047,  0.49704768,  0.25154616,  0.28203605,\n",
+       "        1.02174456,  5.07258088,  9.7884165 ,  5.96876228,  4.00200825,\n",
+       "        5.41962997, 10.2496814 ,  0.71627253,  0.7255612 ,  0.59134482,\n",
+       "        7.09910528, 20.06694333,  6.04522972,  0.64020686,  1.0272055 ,\n",
+       "        1.59889302, 14.99273895, 17.04606533, 11.48828482,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PBN_GTCIMS_HUEY</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 31.13 20.27 nan</div><input id='attrs-14ce76f5-adae-4deb-9c73-ae79aa16d12f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14ce76f5-adae-4deb-9c73-ae79aa16d12f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9327b458-46d7-4ceb-9eb0-93d589574db0' class='xr-var-data-in' type='checkbox'><label for='data-9327b458-46d7-4ceb-9eb0-93d589574db0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,  1.9749086 ,  1.6214315 ,  1.41931474,\n",
+       "        1.29028333,  1.05406133,  0.8733534 ,  0.43433928,  0.41936798,\n",
+       "        1.56162667,  9.18956667, 18.99011917, 12.48651491,  3.3056786 ,\n",
+       "        6.96546085, 14.30622842,  1.64382004,  1.89492717,  1.26383378,\n",
+       "       17.69821385, 27.085515  , 24.8248    ,  2.01682063,  2.13505733,\n",
+       "        1.6425403 , 22.82060263, 31.13474267, 20.27237509,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NH3_UIOPTR_ppbV_WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0417e7be-de59-47ce-b828-8453860fd4ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0417e7be-de59-47ce-b828-8453860fd4ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05a7eb14-756c-44fe-9bb9-7b21f1cd7e3c' class='xr-var-data-in' type='checkbox'><label for='data-05a7eb14-756c-44fe-9bb9-7b21f1cd7e3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>N2O5_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1985 -0.01521 ... 0.5458 nan</div><input id='attrs-ad2f8b59-eda8-4b14-bb4b-64441fa0931a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad2f8b59-eda8-4b14-bb4b-64441fa0931a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9121da45-b9ca-4e0f-818a-cf2960f4b60e' class='xr-var-data-in' type='checkbox'><label for='data-9121da45-b9ca-4e0f-818a-cf2960f4b60e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.19848947, -0.01521471,  1.02889884,  9.69612115,  9.5445375 ,\n",
+       "        8.19548704,  9.51898725,  7.45597526,  9.51703   , 12.31315789,\n",
+       "       11.81428269,  9.23198103,  4.41920904,  0.12303269,  0.18957145,\n",
+       "        0.07132857,  2.14135466,  3.64600224,  1.42882442,  0.24028667,\n",
+       "        0.52125056,  0.95097704,  0.0732598 ,  0.08295294,  0.03323913,\n",
+       "        0.74206207,  1.86190904,  0.71927018,  0.06352981,         nan,\n",
+       "        0.03204326,  2.46652157,  1.78349228,  0.54578163,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>N2O_LGR_ppb_PEISCHL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>331.0 332.2 332.7 ... 333.9 nan</div><input id='attrs-fba9fa39-9079-4cf6-8412-492693fb55db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fba9fa39-9079-4cf6-8412-492693fb55db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0709fcbb-6487-4ef4-b87c-fa6b86ea6721' class='xr-var-data-in' type='checkbox'><label for='data-0709fcbb-6487-4ef4-b87c-fa6b86ea6721' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppb</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([330.99498421, 332.16067586, 332.698125  , 332.84469636,\n",
+       "       332.79488333, 332.60155833, 332.56501552, 332.56678333,\n",
+       "       332.813425  , 332.98788421, 333.11303333, 333.05485   ,\n",
+       "       333.01708333, 332.95480357, 333.12325   , 331.3182069 ,\n",
+       "       332.35208333, 335.947225  , 332.14834167, 332.19412069,\n",
+       "       332.02580833, 331.26256667, 331.30158333, 330.99978276,\n",
+       "       331.26921667, 332.53635   , 333.01154167, 332.50595833,\n",
+       "       331.86969167, 331.75581698, 332.1683431 , 332.84299167,\n",
+       "       333.13245   , 333.85162881,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO_DACOM_DISKIN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>135.8 98.8 89.77 ... 175.9 nan</div><input id='attrs-add35dad-f18a-4ad5-99a1-1bb0553e0f95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-add35dad-f18a-4ad5-99a1-1bb0553e0f95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3a70778-b17b-4b3b-8f46-3fe3b5313de9' class='xr-var-data-in' type='checkbox'><label for='data-e3a70778-b17b-4b3b-8f46-3fe3b5313de9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([135.84381579,  98.80071667,  89.77328793,  83.38165517,\n",
+       "        81.52972241,  72.166375  ,  71.12246949,  74.01397   ,\n",
+       "        72.11905833,  83.92213833,  91.56393393,  78.22259167,\n",
+       "        71.13758947,  67.32729828,  67.58900167,  99.13108246,\n",
+       "       139.57231333, 170.7898    , 152.7605    , 124.784875  ,\n",
+       "       154.30215593, 204.9357    ,  81.17238333, 105.57851754,\n",
+       "        96.30168333, 168.86127167, 293.6765    , 144.92593448,\n",
+       "        99.93478667, 110.48233051,  97.57478448, 253.21163833,\n",
+       "       240.45278644, 175.91339153,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH4_DACOM_DISKIN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.988e+03 1.901e+03 ... nan</div><input id='attrs-f150c113-b519-469a-9637-ef49f6fd1f9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f150c113-b519-469a-9637-ef49f6fd1f9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0f5e3af-0b36-4b47-a7ae-6d28592cd4e6' class='xr-var-data-in' type='checkbox'><label for='data-e0f5e3af-0b36-4b47-a7ae-6d28592cd4e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1987.68421053, 1900.62766667, 1891.66810345, 1892.72551724,\n",
+       "       1893.64724138, 1895.4755    , 1892.4540678 , 1892.90333333,\n",
+       "       1888.28983333, 1894.996     , 1896.92285714, 1891.2485    ,\n",
+       "       1887.03596491, 1866.46172414, 1871.16383333, 1912.81333333,\n",
+       "       2259.89216667, 2654.5225    , 2095.31084746, 1909.2115    ,\n",
+       "       1924.15169492, 1945.32116667, 1868.21083333, 1915.94614035,\n",
+       "       1894.42033333, 1944.59566667, 2015.2855    , 1907.60551724,\n",
+       "       1907.4675    , 1925.07542373, 1875.615     , 2000.61666667,\n",
+       "       1973.04661017, 1944.27627119,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO_LGR_ppb_PEISCHL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>132.9 94.58 85.4 ... 175.5 nan</div><input id='attrs-160a8630-636e-45f0-bde6-522069142dbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-160a8630-636e-45f0-bde6-522069142dbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a64a2fbe-293c-4504-87bc-7d0570734bbb' class='xr-var-data-in' type='checkbox'><label for='data-a64a2fbe-293c-4504-87bc-7d0570734bbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppb</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([132.86217895,  94.58043103,  85.40291667,  79.22330545,\n",
+       "        77.34591667,  67.45125   ,  66.75675345,  69.2825    ,\n",
+       "        67.45508333,  79.88134737,  87.08541667,  73.6415    ,\n",
+       "        66.46783333,  63.05803571,  63.04416667,  96.82481897,\n",
+       "       136.18041667, 167.70333333, 150.47308333, 114.38992414,\n",
+       "       150.33741667, 201.55608333,  79.08491667, 103.32593276,\n",
+       "        93.28666667, 166.99983333, 291.72066667, 140.38558333,\n",
+       "        96.45375   , 108.15616604,  96.34115   , 249.95591667,\n",
+       "       236.19941667, 175.45894237,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_7000_ppm_DISKIN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>407.7 410.1 410.6 ... 418.6 nan</div><input id='attrs-6699c35a-ffc3-4dfb-8ac3-395d2dca497d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6699c35a-ffc3-4dfb-8ac3-395d2dca497d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-505a809e-bdb8-4db4-a70c-2f548a83512b' class='xr-var-data-in' type='checkbox'><label for='data-505a809e-bdb8-4db4-a70c-2f548a83512b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppm</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([407.72463158, 410.05291167, 410.59126102, 411.3648069 ,\n",
+       "       411.09061552, 410.81879   , 410.93269153, 411.05056833,\n",
+       "       410.97281167, 411.26966833, 411.76550909, 410.84451167,\n",
+       "       410.92342105, 410.95153276, 411.08567333, 410.20727069,\n",
+       "       419.39853333, 426.059925  , 417.040475  , 412.419005  ,\n",
+       "       415.23278667, 421.16933333, 409.871295  , 407.99764561,\n",
+       "       408.3454    , 419.30448833, 431.31021833, 418.6456    ,\n",
+       "       408.200415  , 407.37009322, 410.07465517, 428.31939667,\n",
+       "       430.69737627, 418.60842203,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C2H6_CAMS_pptv_FRIED</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.908e+03 1.303e+03 ... nan nan</div><input id='attrs-5c0d1741-edbd-41e6-a1b0-6ae470df04fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c0d1741-edbd-41e6-a1b0-6ae470df04fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-714db0c8-d912-45e2-8fb7-bf1610b35dfe' class='xr-var-data-in' type='checkbox'><label for='data-714db0c8-d912-45e2-8fb7-bf1610b35dfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1907.84571429, 1303.3268    , 1287.59827586, 1001.38288148,\n",
+       "       1332.9072549 , 1142.84379038, 1165.14326923, 1195.64732143,\n",
+       "        865.88016744, 1071.23734634, 1234.0902381 , 1006.3846    ,\n",
+       "        615.34524651,  291.97881163,  293.48724524, 2053.84727273,\n",
+       "       2126.87859649, 2319.71929825, 2285.92686275, 1893.34982456,\n",
+       "       2049.09350877, 2726.14491228,  512.51206897,  674.51754386,\n",
+       "        464.85344828, 2045.92241379, 4364.58084746, 1447.83842105,\n",
+       "        598.64892807,  606.66744561,  590.98456852, 3605.7945614 ,\n",
+       "       3687.4022807 ,           nan,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2O_CAMS_pptv_FRIED</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.052e+03 1.265e+03 ... nan nan</div><input id='attrs-b99fc53f-e096-42d8-83f0-7e952bda8f03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b99fc53f-e096-42d8-83f0-7e952bda8f03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c613cd1a-9809-480a-a3d8-9f97588873c7' class='xr-var-data-in' type='checkbox'><label for='data-c613cd1a-9809-480a-a3d8-9f97588873c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([2051.90857143, 1265.294     ,  552.17777719,  131.46746078,\n",
+       "         79.63971531,   39.50929633,   13.3431287 ,   17.31353091,\n",
+       "         92.74292727,  308.49157368,  304.23630256,  130.25446098,\n",
+       "         85.05617105,   53.19145   ,  113.03172212,  720.07580981,\n",
+       "       5047.49561404, 7324.38421053, 4504.27039216, 1948.5922807 ,\n",
+       "       2471.20473684, 4302.56824561, 1078.64482759, 1007.38245614,\n",
+       "        867.89482759, 4085.65172414, 7799.45610169, 2936.2754386 ,\n",
+       "        738.38440526,  985.82304035, 1050.98827222, 7127.88596491,\n",
+       "       6595.91117018,           nan,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2O_ISAF_HANISCO</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.446e+03 686.8 ... 3.047e+03 nan</div><input id='attrs-a259c0b4-c279-4b13-8123-3d0db2f52520' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a259c0b4-c279-4b13-8123-3d0db2f52520' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b9ac09a-cd33-4624-86b2-22bb8b65efb5' class='xr-var-data-in' type='checkbox'><label for='data-6b9ac09a-cd33-4624-86b2-22bb8b65efb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1446.2       ,  686.84166667,  336.225     ,  206.58666667,\n",
+       "        217.38166667,  171.775     ,  177.46428571,  207.93833333,\n",
+       "        157.93166667,  220.28166667,  254.47333333,  170.56666667,\n",
+       "        122.91011786,   54.09166667,   67.74666667,  628.93833333,\n",
+       "       3979.69333333, 5814.38166667, 3961.57810345, 1686.34241379,\n",
+       "       2151.515     , 3506.51333333,  817.13      ,  768.905     ,\n",
+       "        648.87      , 3567.51230179, 6152.885     , 2685.74333333,\n",
+       "        653.58333333,  728.39333333,  775.18166667, 5596.34589286,\n",
+       "       5023.665     , 3047.11983051,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2O_UIOPTR_ppbV_WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5f8b2d1e-a4be-42b3-91a9-39cfc4d3d36d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f8b2d1e-a4be-42b3-91a9-39cfc4d3d36d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-010f6710-85db-4ba0-aaaf-3e0a892ca9b5' class='xr-var-data-in' type='checkbox'><label for='data-010f6710-85db-4ba0-aaaf-3e0a892ca9b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OCS_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 627.0 627.0 ... 640.7 617.3 nan</div><input id='attrs-0c8a917f-a3de-470a-8a03-5b737d6a3aea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c8a917f-a3de-470a-8a03-5b737d6a3aea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-435f33c2-d16a-4c63-a0e1-526c1658341f' class='xr-var-data-in' type='checkbox'><label for='data-435f33c2-d16a-4c63-a0e1-526c1658341f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan, 627.        , 627.        , 563.        ,\n",
+       "       615.        , 553.        , 613.        , 596.        ,\n",
+       "       596.        , 556.        , 603.        , 603.        ,\n",
+       "       595.        , 566.        , 565.        , 591.63157895,\n",
+       "       606.18421053, 647.47058824, 621.17857143, 612.92      ,\n",
+       "       618.44827586, 603.68      , 545.4       , 564.44      ,\n",
+       "       563.48      , 585.04      , 640.88      , 596.        ,\n",
+       "       588.16      , 610.2       , 602.6       , 627.48      ,\n",
+       "       640.72      , 617.25925926,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DMS_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 1.4 1.4 ... -3.621e+05 nan</div><input id='attrs-13bc6d31-1b22-4bc8-9009-90b1f5ebcf70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13bc6d31-1b22-4bc8-9009-90b1f5ebcf70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8e29b33-8587-4f73-83f5-f6d9d8469bb7' class='xr-var-data-in' type='checkbox'><label for='data-f8e29b33-8587-4f73-83f5-f6d9d8469bb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  1.40000000e+00,  1.40000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -9.35573158e+04,  3.05147059e+01, -3.80947089e+05, -6.75554328e+05,\n",
+       "       -5.21070862e+05, -3.91108676e+05, -8.88888000e+05, -3.19969388e+05,\n",
+       "       -3.91098472e+05, -3.19997840e+05,  4.75200000e+00, -5.68886352e+05,\n",
+       "       -1.42186728e+05,  4.73040000e+01, -7.11110048e+05,  3.42000000e+00,\n",
+       "       -2.13328268e+05, -3.62138452e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CFC12_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 502.7 502.7 ... 509.0 507.7 nan</div><input id='attrs-5e04afc9-8574-42c6-b07e-d77679ec2652' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e04afc9-8574-42c6-b07e-d77679ec2652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38be288d-f3e7-40a0-97e3-31210db55d2b' class='xr-var-data-in' type='checkbox'><label for='data-38be288d-f3e7-40a0-97e3-31210db55d2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan, 502.7       , 502.7       , 509.9       ,\n",
+       "       512.        , 520.9       , 499.5       , 509.5       ,\n",
+       "       509.5       , 508.9       , 518.2       , 518.2       ,\n",
+       "       512.3       , 510.5       , 501.        , 508.40526316,\n",
+       "       510.40789474, 503.89117647, 509.39642857, 509.96      ,\n",
+       "       510.02758621, 505.528     , 509.08      , 505.976     ,\n",
+       "       507.18      , 506.668     , 510.        , 506.116     ,\n",
+       "       507.068     , 503.232     , 506.032     , 506.004     ,\n",
+       "       508.964     , 507.65185185,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CFC11_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 229.0 229.0 ... 233.2 229.6 nan</div><input id='attrs-1c9e9c21-cefd-4c4e-a064-1c4c5a50a285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c9e9c21-cefd-4c4e-a064-1c4c5a50a285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8208bf0b-c34d-48db-8a33-774803def45e' class='xr-var-data-in' type='checkbox'><label for='data-8208bf0b-c34d-48db-8a33-774803def45e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan, 229.        , 229.        , 226.4       ,\n",
+       "       230.6       , 229.6       , 232.9       , 228.2       ,\n",
+       "       228.2       , 227.2       , 226.9       , 226.9       ,\n",
+       "       227.8       , 227.6       , 235.        , 231.15263158,\n",
+       "       229.33684211, 226.94705882, 229.05      , 228.308     ,\n",
+       "       231.86206897, 230.824     , 229.872     , 226.668     ,\n",
+       "       228.92      , 230.344     , 232.66      , 231.18      ,\n",
+       "       227.592     , 228.768     , 228.32      , 231.616     ,\n",
+       "       233.188     , 229.57407407,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CFC113_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 70.15 70.15 ... 71.33 70.26 nan</div><input id='attrs-340c7719-0e83-44e2-a17c-e1baa08d85f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-340c7719-0e83-44e2-a17c-e1baa08d85f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8401ee2f-7f4b-4da2-a635-28bdde58c750' class='xr-var-data-in' type='checkbox'><label for='data-8401ee2f-7f4b-4da2-a635-28bdde58c750' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan, 70.15      , 70.15      , 69.32      , 71.71      ,\n",
+       "       70.41      , 72.04      , 70.27      , 70.27      , 69.27      ,\n",
+       "       69.64      , 69.64      , 69.08      , 68.93      , 71.27      ,\n",
+       "       70.83421053, 70.34394737, 69.53529412, 70.09357143, 69.7388    ,\n",
+       "       70.36793103, 70.4968    , 69.9332    , 69.6792    , 70.0848    ,\n",
+       "       70.6232    , 71.6044    , 70.1568    , 69.476     , 69.6416    ,\n",
+       "       69.5072    , 71.2288    , 71.3348    , 70.25666667,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CFC114_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 15.98 15.98 ... 16.57 16.55 nan</div><input id='attrs-1dd98ff2-d567-4b70-afad-bfea96782668' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dd98ff2-d567-4b70-afad-bfea96782668' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9129b11-7175-4335-9dc5-8ebe8f1de15f' class='xr-var-data-in' type='checkbox'><label for='data-c9129b11-7175-4335-9dc5-8ebe8f1de15f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan, 15.98      , 15.98      , 15.98      , 15.96      ,\n",
+       "       16.09      , 16.55      , 15.96      , 15.96      , 16.1       ,\n",
+       "       16.16      , 16.16      , 16.24      , 16.1       , 16.11      ,\n",
+       "       16.79526316, 16.15947368, 16.34264706, 16.08      , 16.0456    ,\n",
+       "       16.5237931 , 16.3076    , 16.3464    , 16.08      , 16.3388    ,\n",
+       "       16.0164    , 16.4868    , 16.5896    , 16.0636    , 16.2868    ,\n",
+       "       16.2812    , 16.3572    , 16.5736    , 16.54962963,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HFC152a_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 204.3 106.8 nan</div><input id='attrs-5beced49-656b-4da4-930e-eef013b3462a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5beced49-656b-4da4-930e-eef013b3462a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f1623a2-d1ad-4bd9-8e84-2d940400d5af' class='xr-var-data-in' type='checkbox'><label for='data-2f1623a2-d1ad-4bd9-8e84-2d940400d5af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan,          nan,          nan,  10.14      ,\n",
+       "        10.4       ,   9.46      ,   8.81      ,   8.09      ,\n",
+       "         8.09      ,  11.66      ,  14.94      ,  14.94      ,\n",
+       "         8.3       ,   8.51      ,   7.8       ,  12.14368421,\n",
+       "        44.53394737,  64.82117647,  50.555     ,  23.3592    ,\n",
+       "        58.29      ,  91.5168    ,  14.6724    ,  14.1772    ,\n",
+       "        11.2824    , 116.7204    , 246.3812    ,  88.9276    ,\n",
+       "        15.4532    ,  15.1688    ,  15.2948    , 207.51      ,\n",
+       "       204.3084    , 106.8362963 ,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HFC134a_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 114.9 114.9 ... 319.8 209.7 nan</div><input id='attrs-95f6caa7-1024-4d1e-969f-c97ac5364907' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95f6caa7-1024-4d1e-969f-c97ac5364907' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f36360d6-f254-4b5d-949e-0d6457771874' class='xr-var-data-in' type='checkbox'><label for='data-f36360d6-f254-4b5d-949e-0d6457771874' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan, 114.9       , 114.9       , 109.5       ,\n",
+       "       114.6       , 104.        , 110.6       , 112.5       ,\n",
+       "       112.5       , 107.6       , 116.9       , 116.9       ,\n",
+       "       110.3       , 106.8       , 105.7       , 115.4       ,\n",
+       "       146.91842105, 184.34705882, 163.81071429, 131.404     ,\n",
+       "       158.16206897, 205.232     , 113.976     , 112.948     ,\n",
+       "       110.988     , 221.456     , 344.572     , 206.792     ,\n",
+       "       116.1       , 118.656     , 119.236     , 313.74      ,\n",
+       "       319.76      , 209.66666667,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HFC365mfc_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 1.329 1.329 ... 1.757 1.671 nan</div><input id='attrs-2e509f44-1f5e-4f63-90eb-3af3944f0040' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e509f44-1f5e-4f63-90eb-3af3944f0040' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41c539f1-db34-4cc9-a0f1-1ebd23ba2215' class='xr-var-data-in' type='checkbox'><label for='data-41c539f1-db34-4cc9-a0f1-1ebd23ba2215' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 1.329     , 1.329     , 1.234     , 1.286     ,\n",
+       "       1.123     , 1.365     , 1.169     , 1.169     , 1.252     ,\n",
+       "       1.261     , 1.261     , 1.022     , 1.228     , 1.324     ,\n",
+       "       1.29563158, 1.53528947, 1.47232353, 1.40307143, 1.29072   ,\n",
+       "       1.45244828, 1.66928   , 1.2932    , 1.30356   , 1.29572   ,\n",
+       "       1.50096   , 1.81328   , 1.30412   , 1.39388   , 1.35656   ,\n",
+       "       1.4698    , 1.9286    , 1.75708   , 1.67096296,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCFC22_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 267.5 267.5 ... 394.9 351.8 nan</div><input id='attrs-e507b386-bd0d-410b-aa05-b3397743f6bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e507b386-bd0d-410b-aa05-b3397743f6bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f128ebf6-3de9-4a82-9b8d-73c56742951f' class='xr-var-data-in' type='checkbox'><label for='data-f128ebf6-3de9-4a82-9b8d-73c56742951f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan, 267.5       , 267.5       , 255.6       ,\n",
+       "       259.5       , 251.2       , 253.5       , 252.        ,\n",
+       "       252.        , 253.5       , 257.8       , 257.8       ,\n",
+       "       249.9       , 253.3       , 255.4       , 257.35789474,\n",
+       "       280.25789474, 329.48823529, 292.95357143, 274.052     ,\n",
+       "       299.07586207, 323.172     , 251.192     , 248.424     ,\n",
+       "       248.624     , 330.716     , 411.832     , 311.5       ,\n",
+       "       255.42      , 259.804     , 265.344     , 378.252     ,\n",
+       "       394.932     , 351.77037037,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCFC142b_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 24.21 24.21 ... 24.99 23.59 nan</div><input id='attrs-58d6b269-18bb-43c2-bc4c-152921e64d09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58d6b269-18bb-43c2-bc4c-152921e64d09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4ac7d44-b0e1-4e06-89ba-ba91e1156ade' class='xr-var-data-in' type='checkbox'><label for='data-c4ac7d44-b0e1-4e06-89ba-ba91e1156ade' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan, 24.21      , 24.21      , 23.55      , 23.62      ,\n",
+       "       22.14      , 22.58      , 22.77      , 22.77      , 22.62      ,\n",
+       "       22.71      , 22.71      , 23.32      , 22.66      , 22.4       ,\n",
+       "       22.56263158, 23.40631579, 25.14441176, 23.80607143, 23.0036    ,\n",
+       "       23.72965517, 23.1688    , 22.0224    , 22.1812    , 21.982     ,\n",
+       "       23.35      , 25.5492    , 23.2624    , 23.1208    , 23.5136    ,\n",
+       "       23.0704    , 24.6768    , 24.9856    , 23.58555556,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCFC141b_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 27.52 27.52 ... 39.55 30.15 nan</div><input id='attrs-8fb1e4ca-4d4d-4c62-9fd2-aadde7da34c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fb1e4ca-4d4d-4c62-9fd2-aadde7da34c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18376044-e6b7-46fa-9a53-803a5c241474' class='xr-var-data-in' type='checkbox'><label for='data-18376044-e6b7-46fa-9a53-803a5c241474' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan, 27.52      , 27.52      , 25.93      , 26.65      ,\n",
+       "       25.23      , 25.29      , 25.6       , 25.6       , 24.71      ,\n",
+       "       26.03      , 26.03      , 25.34      , 24.84      , 23.85      ,\n",
+       "       25.90631579, 28.61421053, 32.91264706, 30.38857143, 27.0596    ,\n",
+       "       28.37689655, 30.1552    , 23.7724    , 24.0488    , 24.0184    ,\n",
+       "       45.2024    , 41.744     , 29.1556    , 25.4296    , 26.5168    ,\n",
+       "       26.274     , 40.8292    , 39.5544    , 30.14666667,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H1301_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 3.422 3.422 ... 3.737 3.544 nan</div><input id='attrs-076660e5-665e-4f7f-863f-061035086921' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-076660e5-665e-4f7f-863f-061035086921' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c26a88a9-b597-4417-8b84-9c8a68700be5' class='xr-var-data-in' type='checkbox'><label for='data-c26a88a9-b597-4417-8b84-9c8a68700be5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 3.422     , 3.422     , 3.408     , 3.551     ,\n",
+       "       3.387     , 3.459     , 3.42      , 3.42      , 3.392     ,\n",
+       "       3.34      , 3.34      , 3.585     , 3.395     , 3.444     ,\n",
+       "       3.37310526, 3.38123684, 3.28908824, 3.29689286, 3.34688   ,\n",
+       "       3.41348276, 3.49808   , 3.38448   , 3.39872   , 3.4532    ,\n",
+       "       3.49148   , 3.6504    , 3.4578    , 3.33532   , 3.45692   ,\n",
+       "       3.43532   , 3.5802    , 3.73732   , 3.54385185,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2402_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.397 0.397 ... 0.4005 nan</div><input id='attrs-b74adc5d-8bed-452f-bdee-525246023cb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b74adc5d-8bed-452f-bdee-525246023cb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73e5e2c9-4159-42b5-ae60-14bb2d2fd9c8' class='xr-var-data-in' type='checkbox'><label for='data-73e5e2c9-4159-42b5-ae60-14bb2d2fd9c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 0.397     , 0.397     , 0.392     , 0.407     ,\n",
+       "       0.405     , 0.399     , 0.409     , 0.409     , 0.395     ,\n",
+       "       0.395     , 0.395     , 0.402     , 0.398     , 0.402     ,\n",
+       "       0.40305263, 0.39752632, 0.39408824, 0.40485714, 0.40064   ,\n",
+       "       0.40658621, 0.40152   , 0.40324   , 0.3988    , 0.39768   ,\n",
+       "       0.39564   , 0.39928   , 0.3956    , 0.39812   , 0.39596   ,\n",
+       "       0.40088   , 0.40016   , 0.39728   , 0.40051852,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H1211_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 3.528 3.528 ... 3.979 3.849 nan</div><input id='attrs-c982d827-2161-40c3-9ef7-9cb62cf2bece' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c982d827-2161-40c3-9ef7-9cb62cf2bece' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ead2c1a5-ccfa-4082-a1b6-1335d22f68a7' class='xr-var-data-in' type='checkbox'><label for='data-ead2c1a5-ccfa-4082-a1b6-1335d22f68a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 3.528     , 3.528     , 3.377     , 3.586     ,\n",
+       "       3.435     , 3.576     , 3.421     , 3.421     , 3.393     ,\n",
+       "       3.49      , 3.49      , 3.366     , 3.431     , 3.535     ,\n",
+       "       3.46347368, 3.51807895, 3.51779412, 3.54271429, 3.44528   ,\n",
+       "       3.63282759, 3.71984   , 3.50944   , 3.45832   , 3.48524   ,\n",
+       "       4.13692   , 5.17096   , 3.63744   , 3.43484   , 3.464     ,\n",
+       "       3.50256   , 4.728     , 3.9786    , 3.84877778,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3CCl3_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 1.791 1.791 ... 2.33 1.993 nan</div><input id='attrs-e1ab2260-285e-4b39-aa2e-df0b4025a3bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1ab2260-285e-4b39-aa2e-df0b4025a3bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-724333f8-68ab-4734-b2f0-8428866d1769' class='xr-var-data-in' type='checkbox'><label for='data-724333f8-68ab-4734-b2f0-8428866d1769' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 1.791     , 1.791     , 1.679     , 1.705     ,\n",
+       "       1.689     , 1.755     , 1.757     , 1.757     , 1.641     ,\n",
+       "       1.666     , 1.666     , 1.649     , 1.594     , 1.686     ,\n",
+       "       1.74773684, 1.839     , 1.86144118, 1.84953571, 1.77724   ,\n",
+       "       1.88317241, 1.9926    , 1.67408   , 1.67484   , 1.65948   ,\n",
+       "       2.00528   , 2.46984   , 1.92932   , 1.68068   , 1.71632   ,\n",
+       "       1.69468   , 2.43636   , 2.32956   , 1.99296296,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CCl4_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 79.5 79.5 ... 78.81 78.62 nan</div><input id='attrs-6868fb8d-7745-45bd-aaf9-8f0edd71b809' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6868fb8d-7745-45bd-aaf9-8f0edd71b809' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b43b0b00-4e41-4fee-b408-ed895e5c7579' class='xr-var-data-in' type='checkbox'><label for='data-b43b0b00-4e41-4fee-b408-ed895e5c7579' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan, 79.5       , 79.5       , 78.3       , 79.1       ,\n",
+       "       79.9       , 78.2       , 79.6       , 79.6       , 77.4       ,\n",
+       "       78.7       , 78.7       , 78.        , 77.9       , 78.        ,\n",
+       "       78.52631579, 78.21052632, 78.41176471, 78.57857143, 78.876     ,\n",
+       "       78.86206897, 78.752     , 79.116     , 77.368     , 78.228     ,\n",
+       "       77.864     , 79.236     , 78.596     , 77.956     , 78.004     ,\n",
+       "       78.552     , 79.036     , 78.812     , 78.61851852,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHCl3_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 13.46 13.46 ... 26.45 18.61 nan</div><input id='attrs-c9e761f6-d9bb-4f1b-958d-c2763a5cf2db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9e761f6-d9bb-4f1b-958d-c2763a5cf2db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4734230-da6d-4f06-b504-ab99858ea8b2' class='xr-var-data-in' type='checkbox'><label for='data-a4734230-da6d-4f06-b504-ab99858ea8b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan, 13.46      , 13.46      , 11.32      , 10.7       ,\n",
+       "       10.07      , 10.91      , 10.78      , 10.78      , 10.57      ,\n",
+       "       11.35      , 11.35      ,  9.54      ,  9.05      , 10.25      ,\n",
+       "       12.87578947, 19.14815789, 22.08058824, 20.03464286, 13.4992    ,\n",
+       "       16.33275862, 20.1548    ,  9.5944    , 15.0388    , 13.1776    ,\n",
+       "       20.3672    , 33.1       , 14.3828    , 14.5192    , 17.1672    ,\n",
+       "       10.6596    , 27.4856    , 26.4532    , 18.61037037,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2Cl2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 52.58 52.58 ... 113.9 69.44 nan</div><input id='attrs-a1924768-a79f-4948-b659-839c62f9c1e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1924768-a79f-4948-b659-839c62f9c1e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6852661-4988-4fdd-9d73-37119524b3a7' class='xr-var-data-in' type='checkbox'><label for='data-c6852661-4988-4fdd-9d73-37119524b3a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan,  52.58      ,  52.58      ,  50.9       ,\n",
+       "        43.78      ,  43.79      ,  48.35      ,  44.43      ,\n",
+       "        44.43      ,  43.29      ,  47.23      ,  47.23      ,\n",
+       "        37.05      ,  36.59      ,  42.35      ,  56.16263158,\n",
+       "        59.54868421,  58.20029412,  60.31571429,  54.1612    ,\n",
+       "        69.00827586,  78.5224    ,  37.0728    ,  51.888     ,\n",
+       "        45.8888    ,  74.2244    , 108.0232    ,  69.9924    ,\n",
+       "        48.1804    ,  53.6468    ,  42.36      ,  91.458     ,\n",
+       "       113.9408    ,  69.43518519,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C2HCl3_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.322 0.322 ... 6.375 2.046 nan</div><input id='attrs-95097be1-6470-4ee4-95ef-18f6fda3a651' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95097be1-6470-4ee4-95ef-18f6fda3a651' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-346b1500-2c82-46ed-ac76-ab84ff7ea407' class='xr-var-data-in' type='checkbox'><label for='data-346b1500-2c82-46ed-ac76-ab84ff7ea407' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 0.322     , 0.322     , 0.028     , 0.266     ,\n",
+       "       0.25      , 0.093     , 0.068     , 0.068     , 0.175     ,\n",
+       "       0.041     , 0.041     , 0.129     , 0.111     , 0.206     ,\n",
+       "       0.24652632, 0.53871053, 0.59502941, 1.40089286, 0.48464   ,\n",
+       "       1.39768966, 2.004     , 0.3148    , 0.30808   , 0.24492   ,\n",
+       "       6.74044   , 7.2258    , 2.27928   , 0.181     , 0.23704   ,\n",
+       "       0.4596    , 6.53816   , 6.37476   , 2.04581481,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C2Cl4_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 1.259 1.259 ... 15.51 7.763 nan</div><input id='attrs-92f08694-88a5-4868-8b04-227ac2a153c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92f08694-88a5-4868-8b04-227ac2a153c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4f08fa5-9ef4-4f95-ab14-11b1c606467d' class='xr-var-data-in' type='checkbox'><label for='data-c4f08fa5-9ef4-4f95-ab14-11b1c606467d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,  1.259     ,  1.259     ,  1.141     ,  1.199     ,\n",
+       "        0.956     ,  1.095     ,  1.011     ,  1.011     ,  1.167     ,\n",
+       "        1.263     ,  1.263     ,  0.906     ,  0.651     ,  0.834     ,\n",
+       "        1.72263158,  2.27628947,  2.48326471,  3.26875   ,  2.50064   ,\n",
+       "        4.2622069 ,  7.92184   ,  1.276     ,  1.2924    ,  1.04692   ,\n",
+       "       10.51896   , 21.50464   ,  8.24412   ,  1.45188   ,  1.48556   ,\n",
+       "        1.263     , 16.15668   , 15.51288   ,  7.76333333,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3Cl_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 628.0 628.0 ... 595.2 593.9 nan</div><input id='attrs-4d1f3975-b5f1-4e62-8fca-fd78e3408c27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d1f3975-b5f1-4e62-8fca-fd78e3408c27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee22d10b-3237-484b-91a9-09e24fbda753' class='xr-var-data-in' type='checkbox'><label for='data-ee22d10b-3237-484b-91a9-09e24fbda753' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan, 628.        , 628.        , 533.        ,\n",
+       "       604.        , 551.        , 616.        , 604.        ,\n",
+       "       604.        , 544.        , 593.        , 593.        ,\n",
+       "       597.        , 526.        , 524.        , 577.52631579,\n",
+       "       584.05263158, 636.79411765, 598.25      , 617.28      ,\n",
+       "       603.24137931, 588.        , 517.32      , 494.24      ,\n",
+       "       495.28      , 545.96      , 619.16      , 565.52      ,\n",
+       "       525.84      , 525.88      , 570.04      , 588.8       ,\n",
+       "       595.16      , 593.92592593,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3Br_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 7.33 7.33 ... 10.31 7.234 nan</div><input id='attrs-b83a1a99-2a27-4b19-b5f4-ac0aafd0d295' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b83a1a99-2a27-4b19-b5f4-ac0aafd0d295' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92b9b40e-f517-45fb-9af1-3a07db4b236d' class='xr-var-data-in' type='checkbox'><label for='data-92b9b40e-f517-45fb-9af1-3a07db4b236d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,  7.33      ,  7.33      ,  6.66      ,  7.08      ,\n",
+       "        6.34      ,  6.97      ,  6.52      ,  6.52      ,  6.02      ,\n",
+       "        6.73      ,  6.73      ,  6.84      ,  6.32      ,  6.29      ,\n",
+       "        7.15894737, 13.08894737, 10.305     ,  8.19785714,  6.872     ,\n",
+       "        7.26758621,  7.4676    ,  6.2224    ,  6.7028    ,  6.5472    ,\n",
+       "        7.6836    ,  9.948     ,  6.6752    ,  6.6212    ,  7.056     ,\n",
+       "        6.504     ,  9.3048    , 10.3104    ,  7.2337037 ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3I_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.378 0.378 ... 1.874 1.015 nan</div><input id='attrs-ff0453a7-04be-405c-9813-b7385a906683' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff0453a7-04be-405c-9813-b7385a906683' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e930e766-5dc1-412d-a874-824197dc9ec9' class='xr-var-data-in' type='checkbox'><label for='data-e930e766-5dc1-412d-a874-824197dc9ec9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 0.378     , 0.378     , 0.163     , 0.155     ,\n",
+       "       0.081     , 0.245     , 0.1       , 0.1       , 0.127     ,\n",
+       "       0.239     , 0.239     , 0.054     , 0.04      , 0.087     ,\n",
+       "       0.40547368, 0.85481579, 1.20470588, 0.95585714, 0.83336   ,\n",
+       "       0.83382759, 1.29596   , 0.2054    , 3.7024    , 2.8992    ,\n",
+       "       1.52052   , 1.88964   , 0.83868   , 3.21872   , 5.3496    ,\n",
+       "       0.63084   , 2.06284   , 1.87424   , 1.01492593,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2Br2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.674 0.674 ... 0.7478 nan</div><input id='attrs-5213d151-7a7f-40d1-b9db-b5bc3afcab22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5213d151-7a7f-40d1-b9db-b5bc3afcab22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c36dc9d0-d058-4dd3-92a6-3ba39fffc96b' class='xr-var-data-in' type='checkbox'><label for='data-c36dc9d0-d058-4dd3-92a6-3ba39fffc96b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 0.674     , 0.674     , 0.673     , 0.591     ,\n",
+       "       0.57      , 0.706     , 0.71      , 0.71      , 0.646     ,\n",
+       "       0.588     , 0.588     , 0.688     , 0.559     , 0.545     ,\n",
+       "       0.59263158, 0.63552632, 0.70558824, 0.71314286, 0.65608   ,\n",
+       "       0.71134483, 0.75748   , 0.52316   , 1.34444   , 1.14672   ,\n",
+       "       0.8076    , 0.96468   , 0.71392   , 1.20716   , 1.67696   ,\n",
+       "       0.63836   , 0.9446    , 0.98072   , 0.74777778,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHBrCl2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.394 0.394 ... 2.063 1.104 nan</div><input id='attrs-c8f76ca9-f760-4613-a23f-9ca6debd30b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8f76ca9-f760-4613-a23f-9ca6debd30b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a727d2f1-ec01-4518-b2f9-a6044cce978b' class='xr-var-data-in' type='checkbox'><label for='data-a727d2f1-ec01-4518-b2f9-a6044cce978b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 0.394     , 0.394     , 0.316     , 0.371     ,\n",
+       "       0.266     , 0.278     , 0.339     , 0.339     , 0.328     ,\n",
+       "       0.358     , 0.358     , 0.312     , 0.242     , 0.238     ,\n",
+       "       0.37410526, 0.71863158, 1.11014706, 1.09628571, 0.58584   ,\n",
+       "       1.05344828, 1.45368   , 0.33344   , 0.59956   , 0.48028   ,\n",
+       "       1.72456   , 2.9894    , 0.87184   , 0.5808    , 0.72208   ,\n",
+       "       0.4014    , 2.3642    , 2.06272   , 1.10418519,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHBr2Cl_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.589 0.589 ... 3.478 1.803 nan</div><input id='attrs-f3b5c159-0674-4b44-82c4-bd859c039c21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3b5c159-0674-4b44-82c4-bd859c039c21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2cacb4f-a36c-488a-bf6c-c9fab79dc46f' class='xr-var-data-in' type='checkbox'><label for='data-d2cacb4f-a36c-488a-bf6c-c9fab79dc46f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 0.589     , 0.589     , 0.481     , 0.552     ,\n",
+       "       0.404     , 0.454     , 0.473     , 0.473     , 0.499     ,\n",
+       "       0.591     , 0.591     , 0.484     , 0.343     , 0.39      ,\n",
+       "       0.53373684, 0.84239474, 1.23064706, 1.28475   , 0.79532   ,\n",
+       "       1.52913793, 2.25152   , 0.47936   , 1.40712   , 1.13024   ,\n",
+       "       2.707     , 4.88604   , 1.48896   , 1.30284   , 1.84064   ,\n",
+       "       0.68244   , 3.87196   , 3.4778    , 1.80255556,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHBr3_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.701 0.701 ... 1.991 1.08 nan</div><input id='attrs-ef42f76b-6711-4a53-9aab-27ca66eb6615' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef42f76b-6711-4a53-9aab-27ca66eb6615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e485aca6-0d18-4329-8d59-2f8069b9030c' class='xr-var-data-in' type='checkbox'><label for='data-e485aca6-0d18-4329-8d59-2f8069b9030c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 0.701     , 0.701     , 0.522     , 0.579     ,\n",
+       "       0.688     , 0.834     , 0.762     , 0.762     , 0.83      ,\n",
+       "       0.954     , 0.954     , 0.936     , 0.326     , 0.452     ,\n",
+       "       0.55984211, 0.66776316, 0.84917647, 0.84646429, 0.70308   ,\n",
+       "       1.04351724, 1.4046    , 0.52596   , 4.46704   , 3.61232   ,\n",
+       "       1.80764   , 2.48556   , 1.10828   , 3.70944   , 5.87576   ,\n",
+       "       1.11672   , 2.29364   , 1.99084   , 1.08014815,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2ClCH2Cl_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 11.79 11.79 ... 15.64 13.07 nan</div><input id='attrs-57287592-5d26-4951-b286-e48adab55b6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57287592-5d26-4951-b286-e48adab55b6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9606a0de-df28-40db-be66-a1a4df0167b3' class='xr-var-data-in' type='checkbox'><label for='data-9606a0de-df28-40db-be66-a1a4df0167b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan, 11.79      , 11.79      , 11.97      ,  7.81      ,\n",
+       "        7.78      , 11.25      ,  8.59      ,  8.59      ,  9.2       ,\n",
+       "       10.99      , 10.99      ,  7.91      ,  7.52      ,  9.2       ,\n",
+       "       15.40736842, 16.35921053, 16.45617647, 15.55464286, 13.4564    ,\n",
+       "       14.64724138, 13.858     ,  6.9936    , 12.8012    , 10.464     ,\n",
+       "       11.254     , 17.7828    ,  9.504     , 12.7248    , 15.0464    ,\n",
+       "        9.072     , 14.4088    , 15.6408    , 13.06925926,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C2H5Cl_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 3.61 3.61 ... 4.344 2.686 nan</div><input id='attrs-812cc91d-cbb4-42a8-a0c2-c3f650d8db99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-812cc91d-cbb4-42a8-a0c2-c3f650d8db99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20cf4faa-bf14-449d-91b4-e9f97148cd6e' class='xr-var-data-in' type='checkbox'><label for='data-20cf4faa-bf14-449d-91b4-e9f97148cd6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 3.61      , 3.61      , 1.35      ,        nan,\n",
+       "              nan, 2.33      , 1.43      , 1.43      ,        nan,\n",
+       "              nan,        nan, 1.43      ,        nan,        nan,\n",
+       "       2.32052632, 3.00789474, 4.65088235, 3.055     , 1.61578947,\n",
+       "       2.27      , 2.7308    , 0.87      , 2.03625   , 1.93      ,\n",
+       "       3.2975    , 3.974     , 2.5076    , 1.5808    , 1.7784    ,\n",
+       "       1.6448    , 3.5956    , 4.3436    , 2.68555556,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeONO2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 5.81 5.81 ... 12.49 8.607 nan</div><input id='attrs-f5be4814-3528-4ccf-9890-95ffae9668df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5be4814-3528-4ccf-9890-95ffae9668df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-748fbcaf-2a2a-4bea-95fc-b1488917a417' class='xr-var-data-in' type='checkbox'><label for='data-748fbcaf-2a2a-4bea-95fc-b1488917a417' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,  5.81      ,  5.81      ,  5.497     ,  4.429     ,\n",
+       "        3.826     ,  4.277     ,  3.521     ,  3.521     ,  4.543     ,\n",
+       "        5.109     ,  5.109     ,  3.884     ,  9.064     ,  8.013     ,\n",
+       "        5.52494737,  9.39015789, 11.35564706,  9.39182143,  6.2064    ,\n",
+       "        7.37306897,  9.81392   ,  4.97544   ,  8.58088   ,  7.34352   ,\n",
+       "        8.57048   , 14.40916   ,  8.24392   ,  7.98908   , 10.14096   ,\n",
+       "        6.02364   , 11.14472   , 12.4908    ,  8.6067037 ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EthONO2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 1.176 1.176 ... 5.604 3.692 nan</div><input id='attrs-2348869e-345f-48dc-b3b4-d639c2b07ffe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2348869e-345f-48dc-b3b4-d639c2b07ffe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f52b2f9-2629-4963-858d-820d7a2e3690' class='xr-var-data-in' type='checkbox'><label for='data-6f52b2f9-2629-4963-858d-820d7a2e3690' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 1.176     , 1.176     , 1.555     , 1.326     ,\n",
+       "       0.912     , 1.09      , 1.156     , 1.156     , 1.263     ,\n",
+       "       1.631     , 1.631     , 1.008     , 0.611     , 0.732     ,\n",
+       "       2.22294737, 3.71568421, 5.02835294, 3.97896429, 2.77276   ,\n",
+       "       3.15151724, 3.95328   , 0.93244   , 2.21092   , 1.69736   ,\n",
+       "       3.12556   , 6.02148   , 2.70624   , 1.87924   , 2.48892   ,\n",
+       "       1.40316   , 4.99084   , 5.60444   , 3.69240741,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iPropONO2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 2.157 2.157 ... 21.88 13.18 nan</div><input id='attrs-018a023f-1633-452a-88d7-852ab545c608' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-018a023f-1633-452a-88d7-852ab545c608' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82ae1397-8175-4088-9536-a864b2fe2b98' class='xr-var-data-in' type='checkbox'><label for='data-82ae1397-8175-4088-9536-a864b2fe2b98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,  2.157     ,  2.157     ,  4.6       ,  3.985     ,\n",
+       "        3.003     ,  3.667     ,  3.638     ,  3.638     ,  3.933     ,\n",
+       "        5.181     ,  5.181     ,  2.658     ,  0.344     ,  0.441     ,\n",
+       "        7.58094737, 10.38534211, 12.47947059, 12.07635714,  9.13696   ,\n",
+       "       10.79262069, 13.40312   ,  1.78848   ,  3.31212   ,  2.16584   ,\n",
+       "       10.6234    , 22.2008    ,  8.87336   ,  2.65728   ,  3.18956   ,\n",
+       "        2.74136   , 18.34396   , 21.87888   , 13.18137037,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nPropONO2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.288 0.288 ... 2.527 1.459 nan</div><input id='attrs-fdd60304-2867-4c62-a872-5372d0186a84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdd60304-2867-4c62-a872-5372d0186a84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61844667-e6fe-440f-be49-d2a661246a25' class='xr-var-data-in' type='checkbox'><label for='data-61844667-e6fe-440f-be49-d2a661246a25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, 0.288     , 0.288     , 0.473     , 0.386     ,\n",
+       "       0.216     , 0.318     , 0.341     , 0.341     , 0.311     ,\n",
+       "       0.475     , 0.475     , 0.25      , 0.053     , 0.053     ,\n",
+       "       0.80768421, 1.32636842, 1.71888235, 1.44139286, 0.986     ,\n",
+       "       1.17027586, 1.4756    , 0.19056   , 0.39888   , 0.24648   ,\n",
+       "       1.14972   , 2.61144   , 1.07096   , 0.3314    , 0.42044   ,\n",
+       "       0.32572   , 2.10956   , 2.5268    , 1.45944444,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2ButONO2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 1.673 1.673 ... 22.47 12.34 nan</div><input id='attrs-44eb045c-ab87-4c87-a037-a135d518ab50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44eb045c-ab87-4c87-a037-a135d518ab50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca0d5014-409f-4ad8-ba19-83f68bad0853' class='xr-var-data-in' type='checkbox'><label for='data-ca0d5014-409f-4ad8-ba19-83f68bad0853' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,  1.673     ,  1.673     ,  4.624     ,  3.342     ,\n",
+       "        2.248     ,  3.171     ,  3.89      ,  3.89      ,  2.475     ,\n",
+       "        4.277     ,  4.277     ,  1.622     ,  0.122     ,  0.143     ,\n",
+       "        9.24968421,  9.35992105, 10.894     , 12.73992857,  8.88744   ,\n",
+       "        9.66910345, 12.62604   ,  1.0366    ,  2.10856   ,  1.2216    ,\n",
+       "       11.38452   , 21.73692   ,  8.72572   ,  1.62808   ,  2.03468   ,\n",
+       "        2.0114    , 19.88852   , 22.47124   , 12.34274074,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3PentONO2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.241 0.241 ... 4.245 1.892 nan</div><input id='attrs-f372b3e9-f44e-4381-97d9-4f8941303fba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f372b3e9-f44e-4381-97d9-4f8941303fba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-090350bc-8a28-4684-9c73-576d4f29c32a' class='xr-var-data-in' type='checkbox'><label for='data-090350bc-8a28-4684-9c73-576d4f29c32a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  2.41000000e-01,  2.41000000e-01,  4.11000000e-01,\n",
+       "        3.09000000e-01,  1.59000000e-01,  3.00000000e-01,  3.37000000e-01,\n",
+       "        3.37000000e-01,  1.89000000e-01,  4.00000000e-01,  4.00000000e-01,\n",
+       "        1.28000000e-01, -8.88888000e+05, -8.88888000e+05,  1.11842105e+00,\n",
+       "        1.40760526e+00,  2.15658824e+00,  1.80442857e+00,  1.08356000e+00,\n",
+       "        1.41758621e+00,  2.05472000e+00,  1.44440000e-01,  2.65200000e-01,\n",
+       "       -3.55553423e+04, -3.19997642e+05,  3.89056000e+00, -1.77775938e+05,\n",
+       "        2.52960000e-01,  3.05040000e-01,  2.74320000e-01,  3.51528000e+00,\n",
+       "        4.24496000e+00,  1.89181481e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2PentONO2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.435 0.435 ... 6.748 2.723 nan</div><input id='attrs-5476b756-226e-485a-b20c-1fe32e634046' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5476b756-226e-485a-b20c-1fe32e634046' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8257135-a54b-4129-b27d-0bdd87452361' class='xr-var-data-in' type='checkbox'><label for='data-f8257135-a54b-4129-b27d-0bdd87452361' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  4.35000000e-01,  4.35000000e-01,  5.06000000e-01,\n",
+       "        3.50000000e-01,  1.14000000e-01,  2.08000000e-01,  4.63000000e-01,\n",
+       "        4.63000000e-01,  1.44000000e-01,  3.43000000e-01,  3.43000000e-01,\n",
+       "        2.01000000e-01, -8.88888000e+05, -8.88888000e+05,  1.21252632e+00,\n",
+       "        1.96321053e+00,  3.47741176e+00,  2.76492857e+00,  1.36392000e+00,\n",
+       "        1.97151724e+00,  3.08800000e+00,  2.01600000e-01,  3.18960000e-01,\n",
+       "       -3.55553045e+04, -3.19996377e+05,  6.25152000e+00,  2.77472000e+00,\n",
+       "        2.90160000e-01,  3.41240000e-01,  4.13040000e-01,  5.57684000e+00,\n",
+       "        6.74780000e+00,  2.72340741e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3Me2ButONO2_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.247 0.247 ... 8.423 3.305 nan</div><input id='attrs-34e5b05b-edf8-4a3b-a3a4-8db72c9217d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34e5b05b-edf8-4a3b-a3a4-8db72c9217d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d72d3135-e614-419d-ab32-602ef9e5cb59' class='xr-var-data-in' type='checkbox'><label for='data-d72d3135-e614-419d-ab32-602ef9e5cb59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  2.47000000e-01,  2.47000000e-01,  2.07000000e-01,\n",
+       "        1.74000000e-01,  8.10000000e-02,  7.30000000e-02,  1.40000000e-01,\n",
+       "        1.40000000e-01,  1.20000000e-01,  3.43000000e-01,  3.43000000e-01,\n",
+       "        7.10000000e-02,  4.60000000e-02, -8.88888000e+05,  7.32789474e-01,\n",
+       "        1.74363158e+00,  3.04732353e+00,  2.42682143e+00,  1.14648000e+00,\n",
+       "        1.86910345e+00,  3.61748000e+00,  2.40200000e-01,  3.28800000e-01,\n",
+       "       -3.55552453e+04, -1.42218165e+05,  7.51232000e+00,  3.40560000e+00,\n",
+       "        3.41800000e-01,  4.28560000e-01,  3.94800000e-01,  6.31928000e+00,\n",
+       "        8.42340000e+00,  3.30507407e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ethane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 926.0 926.0 ... 2.609e+03 nan</div><input id='attrs-96cdb0bd-4e64-4264-b061-649c37af09ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96cdb0bd-4e64-4264-b061-649c37af09ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ad7d86e-a553-464b-9e42-199f010ba60b' class='xr-var-data-in' type='checkbox'><label for='data-6ad7d86e-a553-464b-9e42-199f010ba60b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([          nan,  926.        ,  926.        , 1150.        ,\n",
+       "       1036.        ,  934.        , 1083.        , 1113.        ,\n",
+       "       1113.        ,  905.        , 1135.        , 1135.        ,\n",
+       "        773.        ,  314.        ,  339.        , 2138.36842105,\n",
+       "       1982.21052632, 2075.79411765, 2185.03571429, 1858.64      ,\n",
+       "       1832.4137931 , 2574.68      ,  578.04      ,  775.24      ,\n",
+       "        511.2       , 2002.08      , 4348.        , 1733.32      ,\n",
+       "        677.64      ,  678.8       ,  618.04      , 3350.88      ,\n",
+       "       3723.68      , 2608.92592593,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ethene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 23.0 23.0 ... 359.0 93.26 nan</div><input id='attrs-c101a064-71ea-4bb7-b0ba-76ca4a64b2fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c101a064-71ea-4bb7-b0ba-76ca4a64b2fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7c9f675-0f90-4b9a-ae79-e27a55709c6a' class='xr-var-data-in' type='checkbox'><label for='data-c7c9f675-0f90-4b9a-ae79-e27a55709c6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  2.30000000e+01,  2.30000000e+01,  6.00000000e+00,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  8.73684211e+00,\n",
+       "        9.62368421e+01,  1.52882353e+02,  8.16428571e+01,  1.61280000e+02,\n",
+       "        7.41034483e+01, -3.52783600e+04, -7.11104800e+05, -1.42212480e+05,\n",
+       "       -3.55549880e+05, -1.77628560e+05,  4.57280000e+02, -1.77602200e+05,\n",
+       "        1.07600000e+01,  1.79600000e+01, -1.77760560e+05,  2.84320000e+02,\n",
+       "        3.59040000e+02,  9.32592593e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ethyne_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 48.0 48.0 ... 481.4 208.7 nan</div><input id='attrs-9d2227fa-871b-49e8-9f0a-b101922cff9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d2227fa-871b-49e8-9f0a-b101922cff9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f96108b-00b3-412d-b555-548f8ed64650' class='xr-var-data-in' type='checkbox'><label for='data-8f96108b-00b3-412d-b555-548f8ed64650' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan,  48.        ,  48.        ,  33.        ,\n",
+       "        33.        ,  29.        ,  34.        ,  32.        ,\n",
+       "        32.        ,  33.        ,  38.        ,  38.        ,\n",
+       "        25.        ,  18.        ,  16.        ,  47.26315789,\n",
+       "       122.34210526, 190.76470588, 149.39285714, 119.6       ,\n",
+       "       137.89655172, 336.12      ,  30.24      ,  39.4       ,\n",
+       "        27.88      , 211.28      , 564.32      , 255.68      ,\n",
+       "        40.68      ,  46.84      ,  36.6       , 396.        ,\n",
+       "       481.4       , 208.7037037 ,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Propene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -1.646e+05 nan</div><input id='attrs-a1aecc58-e1ee-49a7-abd3-5e85939f5e18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1aecc58-e1ee-49a7-abd3-5e85939f5e18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21114b4f-b955-4bd1-95ef-3cbb33a90cb0' class='xr-var-data-in' type='checkbox'><label for='data-21114b4f-b955-4bd1-95ef-3cbb33a90cb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -9.35512632e+04,  1.94411765e+01, -3.80940964e+05, -4.26636240e+05,\n",
+       "       -3.67807897e+05, -3.55302000e+04, -7.11109400e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19982080e+05,  3.95600000e+01, -5.68869680e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332040e+05,  3.11600000e+01,\n",
+       "       -3.55127200e+04, -1.64598222e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Propane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 235.0 235.0 ... 981.0 nan</div><input id='attrs-c549f4f3-0cd1-41a4-b072-6aed69cff3d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c549f4f3-0cd1-41a4-b072-6aed69cff3d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-416ca1b5-90f0-4655-8df6-559858ed0291' class='xr-var-data-in' type='checkbox'><label for='data-416ca1b5-90f0-4655-8df6-559858ed0291' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([          nan,  235.        ,  235.        ,  275.        ,\n",
+       "        279.        ,  199.        ,  291.        ,  311.        ,\n",
+       "        311.        ,  206.        ,  328.        ,  328.        ,\n",
+       "        126.        ,   13.        ,   14.        ,  739.31578947,\n",
+       "       1148.94736842, 1226.91176471, 1133.78571429,  594.92      ,\n",
+       "        815.20689655, 1293.64      ,   82.92      ,  141.52      ,\n",
+       "         64.4       , 1053.96      , 2613.64      ,  952.72      ,\n",
+       "        116.32      ,  117.88      ,  122.56      , 1893.68      ,\n",
+       "       2570.        ,  981.03703704,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Propadiene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-9ba6ec10-79c8-41c0-95b3-1a0c7d389c7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ba6ec10-79c8-41c0-95b3-1a0c7d389c7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af2feaed-efdb-44b8-a85b-f501e181f13b' class='xr-var-data-in' type='checkbox'><label for='data-af2feaed-efdb-44b8-a85b-f501e181f13b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -711108.8 , -888888.  , -888888.  , -888888.  ,\n",
+       "       -711109.  , -497775.24, -568886.36, -888888.  , -888888.  ,\n",
+       "       -888888.  , -675553.48, -391107.32, -888888.  ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Propyne_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -1.646e+05 nan</div><input id='attrs-e51f900f-c85c-46ea-be72-2a8ca9847c69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e51f900f-c85c-46ea-be72-2a8ca9847c69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3473b89b-14f9-4bf7-a24f-c8ac849e1b39' class='xr-var-data-in' type='checkbox'><label for='data-3473b89b-14f9-4bf7-a24f-c8ac849e1b39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -7.95320316e+05, -3.66008441e+05, -7.30157107e+05, -6.39995880e+05,\n",
+       "       -5.51719897e+05, -3.55436000e+04, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19994320e+05,  1.65600000e+01, -5.68883440e+05,\n",
+       "       -8.88888000e+05, -7.11109600e+05, -8.53332160e+05,  1.15200000e+01,\n",
+       "       -2.13320560e+05, -1.64604630e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iButane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 35.0 35.0 ... 358.6 105.7 nan</div><input id='attrs-8f8985ad-93c6-49b5-8cfd-ccb6a4be3d1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f8985ad-93c6-49b5-8cfd-ccb6a4be3d1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bc16152-be28-4664-ba07-698d79e92bc8' class='xr-var-data-in' type='checkbox'><label for='data-5bc16152-be28-4664-ba07-698d79e92bc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  3.50000000e+01,  3.50000000e+01,  1.40000000e+01,\n",
+       "        1.30000000e+01,  1.00000000e+01,  1.60000000e+01,  2.00000000e+01,\n",
+       "        2.00000000e+01,  1.00000000e+01,  1.70000000e+01,  1.70000000e+01,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  5.25789474e+01,\n",
+       "        1.50684211e+02,  1.54794118e+02,  1.60607143e+02,  3.96400000e+01,\n",
+       "        6.95862069e+01, -3.53845200e+04, -7.11103000e+05, -1.42209000e+05,\n",
+       "       -3.91104000e+05, -3.19831560e+05,  3.40280000e+02, -5.33173760e+05,\n",
+       "        1.23200000e+01,  1.38800000e+01, -3.55543040e+05,  2.75160000e+02,\n",
+       "        3.58640000e+02,  1.05703704e+02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nButane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 48.0 48.0 ... 639.3 183.1 nan</div><input id='attrs-f43e8b32-d9a3-4e94-bccb-6176026b908b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f43e8b32-d9a3-4e94-bccb-6176026b908b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69c1d36c-2524-4d7f-89a4-194ef07eb05d' class='xr-var-data-in' type='checkbox'><label for='data-69c1d36c-2524-4d7f-89a4-194ef07eb05d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  4.80000000e+01,  4.80000000e+01,  3.50000000e+01,\n",
+       "        3.40000000e+01,  2.20000000e+01,  4.10000000e+01,  5.00000000e+01,\n",
+       "        5.00000000e+01,  2.50000000e+01,  4.90000000e+01,  4.90000000e+01,\n",
+       "        1.00000000e+01, -8.88888000e+05, -8.88888000e+05,  1.27684211e+02,\n",
+       "        1.57789474e+02,  2.17852941e+02,  2.83035714e+02,  8.38000000e+01,\n",
+       "        1.24482759e+02, -3.52600400e+04, -7.11099200e+05, -1.42203040e+05,\n",
+       "       -3.91101960e+05, -3.19691920e+05,  6.05680000e+02, -3.55289600e+05,\n",
+       "        1.75600000e+01,  1.90400000e+01, -3.55533520e+05,  4.92400000e+02,\n",
+       "        6.39280000e+02,  1.83074074e+02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Butene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-cb059cad-8cc5-4a13-bee3-2dd0da5f6e86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb059cad-8cc5-4a13-bee3-2dd0da5f6e86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc88f4d7-f3be-4e05-9675-c5ebe7edd204' class='xr-var-data-in' type='checkbox'><label for='data-cc88f4d7-f3be-4e05-9675-c5ebe7edd204' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -4.91225026e+05, -3.66010059e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.58236586e+05, -5.68885640e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -4.97774960e+05,  5.32000000e+00, -5.68886160e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -3.19996080e+05,\n",
+       "       -2.13329120e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iButene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-8410df9c-8962-47a7-8817-36f4fcda6055' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8410df9c-8962-47a7-8817-36f4fcda6055' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62323a7b-399d-4996-9bbf-90385ad4d569' class='xr-var-data-in' type='checkbox'><label for='data-62323a7b-399d-4996-9bbf-90385ad4d569' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -392152.        ,\n",
+       "       -380945.46428571, -888888.        , -888888.        ,\n",
+       "       -711105.8       , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -853332.16      ,\n",
+       "       -746664.64      , -888888.        , -888888.        ,\n",
+       "       -888888.        , -711108.6       , -711108.        ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t2Butene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-9ea277ef-86dd-4914-89d6-27192a0168c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ea277ef-86dd-4914-89d6-27192a0168c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14cc663f-e54f-4175-8680-9deee01c40be' class='xr-var-data-in' type='checkbox'><label for='data-14cc663f-e54f-4175-8680-9deee01c40be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>c2Butene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-8ae39a54-bd50-4b9b-9857-66fa7ba0d567' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ae39a54-bd50-4b9b-9857-66fa7ba0d567' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b454c06-8e59-4438-9f7c-52804810db9a' class='xr-var-data-in' type='checkbox'><label for='data-1b454c06-8e59-4438-9f7c-52804810db9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x13Butadiene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -6.914e+05 nan</div><input id='attrs-27e72f44-e790-4fba-b96c-39d3b6aa855e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27e72f44-e790-4fba-b96c-39d3b6aa855e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a8f4f22-c308-4f8d-9047-87f1fd621fed' class='xr-var-data-in' type='checkbox'><label for='data-6a8f4f22-c308-4f8d-9047-87f1fd621fed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05,  5.00000000e+00,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -4.62217680e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -7.11109600e+05, -6.91356444e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x12Butadiene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-3f118e67-0d4a-4d96-b29a-f63852f88d3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f118e67-0d4a-4d96-b29a-f63852f88d3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44b3b0b9-bb6c-4ccf-b486-c0a1f20f51e4' class='xr-var-data-in' type='checkbox'><label for='data-44b3b0b9-bb6c-4ccf-b486-c0a1f20f51e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Buten3yne_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-1521b7de-666b-4c2f-9ed7-64a09544dc4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1521b7de-666b-4c2f-9ed7-64a09544dc4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38d4b819-3340-4b4d-973b-53ee93accf26' class='xr-var-data-in' type='checkbox'><label for='data-38d4b819-3340-4b4d-973b-53ee93accf26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x13Butadyine_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-daee7691-89f1-47d4-b9b4-4d59f32a868f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-daee7691-89f1-47d4-b9b4-4d59f32a868f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3853483c-3322-41c6-93f0-6fb70b18a20d' class='xr-var-data-in' type='checkbox'><label for='data-3853483c-3322-41c6-93f0-6fb70b18a20d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Butyne_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-61a73711-7ee3-4ddb-b4e6-c77e9b86a58b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61a73711-7ee3-4ddb-b4e6-c77e9b86a58b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e14f35c-2fbc-4af6-a6eb-faec33830f0f' class='xr-var-data-in' type='checkbox'><label for='data-8e14f35c-2fbc-4af6-a6eb-faec33830f0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2Butyne_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-4a9102d1-aa78-43af-aea1-a6bb3019714f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a9102d1-aa78-43af-aea1-a6bb3019714f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cdc7a8f-8f89-4ad4-a843-ebe942b40968' class='xr-var-data-in' type='checkbox'><label for='data-7cdc7a8f-8f89-4ad4-a843-ebe942b40968' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iPentane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 18.0 18.0 ... 775.7 175.3 nan</div><input id='attrs-d8ccaa36-cb01-4a59-a012-f306c81842be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8ccaa36-cb01-4a59-a012-f306c81842be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8149a53-ca05-4f3c-a9c2-ce2d4a3a3af7' class='xr-var-data-in' type='checkbox'><label for='data-c8149a53-ca05-4f3c-a9c2-ce2d4a3a3af7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  1.80000000e+01,  1.80000000e+01,  5.00000000e+00,\n",
+       "        6.00000000e+00, -8.88888000e+05,  8.00000000e+00,  8.00000000e+00,\n",
+       "        8.00000000e+00,  7.00000000e+00,  9.00000000e+00,  9.00000000e+00,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  1.97894737e+01,\n",
+       "        1.21368421e+02,  2.89882353e+02,  1.60464286e+02,  3.14000000e+01,\n",
+       "        1.04655172e+02, -3.52514000e+04, -7.11101200e+05, -1.42215880e+05,\n",
+       "       -3.91106320e+05, -3.19683960e+05,  6.78120000e+02, -5.32997640e+05,\n",
+       "        8.40000000e+00,  7.96000000e+00, -5.33322080e+05,  5.20440000e+02,\n",
+       "        7.75680000e+02,  1.75333333e+02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nPentane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 14.0 14.0 ... 308.9 65.33 nan</div><input id='attrs-2a275ae4-f11b-4ff0-8be0-b01413f79048' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a275ae4-f11b-4ff0-8be0-b01413f79048' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdd6b1b0-13e4-400c-9f6e-511eb2f16cfb' class='xr-var-data-in' type='checkbox'><label for='data-cdd6b1b0-13e4-400c-9f6e-511eb2f16cfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  1.40000000e+01,  1.40000000e+01,  5.00000000e+00,\n",
+       "        4.00000000e+00, -8.88888000e+05,  5.00000000e+00,  7.00000000e+00,\n",
+       "        7.00000000e+00,  4.00000000e+00,  7.00000000e+00,  7.00000000e+00,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  1.74210526e+01,\n",
+       "        7.42368421e+01,  1.73794118e+02,  8.18928571e+01,  1.66400000e+01,\n",
+       "        4.58275862e+01, -3.54315600e+04, -7.11107200e+05, -1.77773800e+05,\n",
+       "       -7.11109000e+05, -3.19870520e+05,  2.78480000e+02, -5.33199840e+05,\n",
+       "       -2.13329320e+05, -3.19996800e+05, -5.33328120e+05,  2.09560000e+02,\n",
+       "        3.08920000e+02,  6.53333333e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Isoprene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 4.0 4.0 ... -1.646e+05 nan</div><input id='attrs-310a2d2a-2096-45cb-8439-5f7fca63b01d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-310a2d2a-2096-45cb-8439-5f7fca63b01d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f4b2005-fa97-4bb0-9664-412cfa97939b' class='xr-var-data-in' type='checkbox'><label for='data-0f4b2005-fa97-4bb0-9664-412cfa97939b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  4.00000000e+00,  4.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -9.35540263e+04, -2.35281971e+05, -1.90396786e+05, -6.75552960e+05,\n",
+       "       -5.21054483e+05, -2.13256440e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -4.97704960e+05,  1.43040000e+02, -5.68812680e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53330320e+05,  8.56000000e+01,\n",
+       "       -2.13082680e+05, -1.64579148e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Pentene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-ca651989-6f03-4cd5-879e-c615a477f042' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca651989-6f03-4cd5-879e-c615a477f042' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22913974-a70c-4097-8e91-dabbf3d73dc6' class='xr-var-data-in' type='checkbox'><label for='data-22913974-a70c-4097-8e91-dabbf3d73dc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -701752.94736842, -888888.        ,\n",
+       "       -888888.        , -675553.68      , -888888.        ,\n",
+       "       -711109.6       , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -711109.8       ,\n",
+       "       -888888.        , -888888.        , -711109.4       ,\n",
+       "       -888888.        , -497775.16      , -568886.84      ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t2Pentene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-7fc9def7-b4cb-4d14-9cb9-0033a6b43c94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fc9def7-b4cb-4d14-9cb9-0033a6b43c94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05558bd8-754e-4291-9f23-db1194f4428b' class='xr-var-data-in' type='checkbox'><label for='data-05558bd8-754e-4291-9f23-db1194f4428b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([      nan, -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -711108.8, -888888. , -888888. ,       nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>c2Pentene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-abf80bd2-4551-4c20-b1c0-9894a5f7c9f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abf80bd2-4551-4c20-b1c0-9894a5f7c9f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe58e282-0dbf-4e08-aca5-1563c6ca77ae' class='xr-var-data-in' type='checkbox'><label for='data-fe58e282-0dbf-4e08-aca5-1563c6ca77ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([      nan, -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -711109.6, -888888. , -888888. ,       nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>3Me1Butene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-8ba68d06-d995-4922-a014-175fc4d71815' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ba68d06-d995-4922-a014-175fc4d71815' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62da7900-612b-4211-8492-aee55e32689a' class='xr-var-data-in' type='checkbox'><label for='data-62da7900-612b-4211-8492-aee55e32689a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -730157.10714286, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2Me1Butene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-85a92060-4719-423a-810c-565a1924c027' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85a92060-4719-423a-810c-565a1924c027' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2629e83-4a7d-4ef8-a58d-26ee615ae9bd' class='xr-var-data-in' type='checkbox'><label for='data-e2629e83-4a7d-4ef8-a58d-26ee615ae9bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "        8.00000000e+00, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -7.95320421e+05, -6.27448147e+05, -7.30157286e+05, -6.75552000e+05,\n",
+       "       -5.51721759e+05, -8.88888000e+05, -8.88888000e+05, -7.11109800e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -7.11109400e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -4.97775160e+05,\n",
+       "       -5.68887240e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2Me2Butene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-f35f40f8-2dc8-4550-8605-afa4811dac57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f35f40f8-2dc8-4550-8605-afa4811dac57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62fc6b06-594b-40b4-a000-01066fcc3f23' class='xr-var-data-in' type='checkbox'><label for='data-62fc6b06-594b-40b4-a000-01066fcc3f23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -758168.73529412,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -853332.36      , -746665.44      ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -711109.6       , -888888.        ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x13Pentadienes_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-bf34d959-fec1-4a66-8c75-728864bd3a52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf34d959-fec1-4a66-8c75-728864bd3a52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-529f2693-eb18-4da0-8eb1-e2d9a44463e2' class='xr-var-data-in' type='checkbox'><label for='data-529f2693-eb18-4da0-8eb1-e2d9a44463e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3Me1PenteneAnd4Me1Pentene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-f6eb8b9c-35ad-448b-802a-2b885371d24c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6eb8b9c-35ad-448b-802a-2b885371d24c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22713a8c-b876-44b7-8081-40bf4f377d1a' class='xr-var-data-in' type='checkbox'><label for='data-22713a8c-b876-44b7-8081-40bf4f377d1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Hexene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -6.914e+05 nan</div><input id='attrs-025ea7b2-c1a0-46b9-8e6c-2dff8ac4ddf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-025ea7b2-c1a0-46b9-8e6c-2dff8ac4ddf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b8ea05b-d007-4a4c-a7cb-fcc07d206738' class='xr-var-data-in' type='checkbox'><label for='data-6b8ea05b-d007-4a4c-a7cb-fcc07d206738' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "        4.00000000e+00, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -6.27449029e+05, -8.88888000e+05, -6.75553200e+05,\n",
+       "       -7.35630759e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -7.11108800e+05,\n",
+       "       -8.88888000e+05, -6.91356444e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Heptene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-2ecbce26-b80a-48bf-80d4-a3b4f5eaf643' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ecbce26-b80a-48bf-80d4-a3b4f5eaf643' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad0ab241-2714-4ccf-9fbf-d7ec76af9738' class='xr-var-data-in' type='checkbox'><label for='data-ad0ab241-2714-4ccf-9fbf-d7ec76af9738' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -758168.58823529,\n",
+       "       -888888.        , -888888.        , -735630.93103448,\n",
+       "       -711108.2       , -888888.        , -888888.        ,\n",
+       "       -888888.        , -497772.96      , -177772.36      ,\n",
+       "       -568886.88      , -888888.        , -888888.        ,\n",
+       "       -888888.        , -675552.68      , -746664.32      ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Octene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-4258b88a-d28a-4108-8ff9-b6bb07033812' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4258b88a-d28a-4108-8ff9-b6bb07033812' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4fd3050-1024-4002-8248-63d5c8fd8e91' class='xr-var-data-in' type='checkbox'><label for='data-e4fd3050-1024-4002-8248-63d5c8fd8e91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Nonene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-bc488f38-e120-46f5-8751-3a10fe770906' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc488f38-e120-46f5-8751-3a10fe770906' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60526b8e-b76d-4c87-aa67-d51186dd64b8' class='xr-var-data-in' type='checkbox'><label for='data-60526b8e-b76d-4c87-aa67-d51186dd64b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([      nan, -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -888888. , -888888. , -888888. , -888888. , -888888. , -888888. ,\n",
+       "       -711109.8, -888888. , -888888. , -888888. ,       nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Decene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-ed016f69-6bba-4249-a9a9-291858746986' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed016f69-6bba-4249-a9a9-291858746986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee579d56-9537-4f7a-bffd-968a92f0def3' class='xr-var-data-in' type='checkbox'><label for='data-ee579d56-9537-4f7a-bffd-968a92f0def3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nHexane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 20.0 20.0 ... -1.646e+05 nan</div><input id='attrs-54f80edf-7ce1-4652-9bb0-8db049f6efd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54f80edf-7ce1-4652-9bb0-8db049f6efd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84af42e4-c7e3-4722-b5bb-0b49430f6c69' class='xr-var-data-in' type='checkbox'><label for='data-84af42e4-c7e3-4722-b5bb-0b49430f6c69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  2.00000000e+01,  2.00000000e+01, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -4.67833684e+05,\n",
+       "       -9.35432368e+04,  3.36176471e+01, -3.80928536e+05, -2.13329720e+05,\n",
+       "       -1.83895207e+05, -3.55147200e+04, -7.11109400e+05, -8.53332240e+05,\n",
+       "       -7.46664960e+05, -1.42180840e+05,  8.83200000e+01, -5.68845080e+05,\n",
+       "       -8.88888000e+05, -7.11109200e+05, -8.53331840e+05,  6.04800000e+01,\n",
+       "       -3.54576400e+04, -1.64589148e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nHeptane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 4.0 4.0 ... -1.646e+05 nan</div><input id='attrs-e5972df0-e6ca-40ba-b0c1-93c09660f6de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5972df0-e6ca-40ba-b0c1-93c09660f6de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea7a4688-d78a-4b47-bfd4-179ea9026d37' class='xr-var-data-in' type='checkbox'><label for='data-ea7a4688-d78a-4b47-bfd4-179ea9026d37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  4.00000000e+00,  4.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -6.54969316e+05,\n",
+       "       -9.35480526e+04,  2.11470588e+01,  1.66428571e+01, -2.13327640e+05,\n",
+       "       -5.51717897e+05, -3.55387200e+04, -7.11109600e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19986640e+05,  3.23200000e+01, -5.68870680e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332240e+05,  2.15600000e+01,\n",
+       "       -3.55193200e+04, -1.64601630e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nOctane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 6.0 6.0 ... -5.267e+05 nan</div><input id='attrs-527b9918-fc3e-4978-bddc-660cd9011770' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-527b9918-fc3e-4978-bddc-660cd9011770' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11c2fe7d-a7f5-4634-b9f3-24b5f39ebfa0' class='xr-var-data-in' type='checkbox'><label for='data-11c2fe7d-a7f5-4634-b9f3-24b5f39ebfa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  6.00000000e+00,  6.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -9.35618158e+04, -2.35288735e+05, -4.12695143e+05, -8.88888000e+05,\n",
+       "       -7.04978966e+05, -2.13327480e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19993680e+05,  1.14800000e+01, -5.68882800e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -3.19994160e+05,\n",
+       "       -2.13321240e+05, -5.26746815e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nNonane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 5.0 5.0 ... -6.914e+05 nan</div><input id='attrs-db529771-b165-4dcc-8454-2489de8c85a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db529771-b165-4dcc-8454-2489de8c85a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30d4b194-77d1-4dc8-8efa-7b0ebd07fd9b' class='xr-var-data-in' type='checkbox'><label for='data-30d4b194-77d1-4dc8-8efa-7b0ebd07fd9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  5.00000000e+00,  5.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.97657500e+05,  5.47058824e+00, -5.39679714e+05, -6.75553920e+05,\n",
+       "       -7.35630414e+05, -5.33329400e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -4.97774280e+05,  7.96000000e+00, -5.68884480e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -5.33331000e+05, -1.42215720e+05,\n",
+       "       -2.13325280e+05, -6.91355556e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nDecane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-4db8096b-343b-4d6d-b5b1-c8d454ac77bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4db8096b-343b-4d6d-b5b1-c8d454ac77bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90b30e8a-d6e9-4d6b-947a-b9bc92d17326' class='xr-var-data-in' type='checkbox'><label for='data-90b30e8a-d6e9-4d6b-947a-b9bc92d17326' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -6.78360947e+05, -7.58168735e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -7.11108000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -4.97774520e+05,  6.08000000e+00, -5.68885560e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -4.97775040e+05,\n",
+       "       -2.13327160e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nUndecane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-322011f2-7350-4e5f-b732-f0d5f03b59c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-322011f2-7350-4e5f-b732-f0d5f03b59c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f602e3a2-dde2-4d34-ba5f-7f4fa5acb48b' class='xr-var-data-in' type='checkbox'><label for='data-f602e3a2-dde2-4d34-ba5f-7f4fa5acb48b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -678361.18421053, -888888.        ,\n",
+       "       -571426.57142857, -888888.        , -888888.        ,\n",
+       "       -711109.2       , -888888.        , -888888.        ,\n",
+       "       -888888.        , -497774.88      , -177774.64      ,\n",
+       "       -568886.48      , -888888.        , -888888.        ,\n",
+       "       -888888.        , -319997.12      , -213329.88      ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x22Dimebutane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -1.646e+05 nan</div><input id='attrs-41f84ccf-e7cf-4799-b47a-4e0323d3f4a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41f84ccf-e7cf-4799-b47a-4e0323d3f4a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d208d228-0167-48ee-b536-0df761387de9' class='xr-var-data-in' type='checkbox'><label for='data-d208d228-0167-48ee-b536-0df761387de9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -9.35604211e+04,  1.17058824e+01, -3.80944429e+05, -6.39998400e+05,\n",
+       "       -3.67810621e+05, -3.55410800e+04, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19984240e+05,  3.17600000e+01, -5.68872920e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332240e+05,  2.42400000e+01,\n",
+       "       -3.55190000e+04, -1.64597852e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x23Dimebutane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -1.646e+05 nan</div><input id='attrs-0461a58a-2f96-4816-b395-780cdb747a5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0461a58a-2f96-4816-b395-780cdb747a5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d174d0e-2115-4d4b-9605-7ef203193553' class='xr-var-data-in' type='checkbox'><label for='data-2d174d0e-2115-4d4b-9605-7ef203193553' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.97655000e+05,  1.28823529e+01, -3.80942821e+05, -6.39998480e+05,\n",
+       "       -5.51719034e+05, -2.13314200e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19982160e+05,  4.32000000e+01, -5.68866840e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332240e+05,  3.08000000e+01,\n",
+       "       -3.55135600e+04, -1.64599667e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2MePentane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 6.0 6.0 ... -1.646e+05 nan</div><input id='attrs-24455393-e461-4701-82aa-d081c0253276' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24455393-e461-4701-82aa-d081c0253276' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c82590f6-1141-459e-b866-41416839078c' class='xr-var-data-in' type='checkbox'><label for='data-c82590f6-1141-459e-b866-41416839078c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  6.00000000e+00,  6.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -6.54969053e+05,\n",
+       "       -9.35353158e+04,  4.62058824e+01,  3.38928571e+01, -2.13327560e+05,\n",
+       "       -1.83887724e+05, -3.54953200e+04, -7.11108200e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19937560e+05,  1.36800000e+02, -5.33268960e+05,\n",
+       "       -7.46665280e+05, -8.53332280e+05, -7.11108440e+05,  1.06120000e+02,\n",
+       "       -3.54054000e+04, -1.64570778e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3MePentane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 3.0 3.0 ... -1.646e+05 nan</div><input id='attrs-c008c500-53ed-48a5-883b-bb75d295507b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c008c500-53ed-48a5-883b-bb75d295507b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-878e8c29-0a7f-466c-b7aa-c3eb939f3967' class='xr-var-data-in' type='checkbox'><label for='data-878e8c29-0a7f-466c-b7aa-c3eb939f3967' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  3.00000000e+00,  3.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -9.35523421e+04,  2.52058824e+01, -1.90456821e+05, -6.39998120e+05,\n",
+       "       -3.67805966e+05, -3.55214400e+04, -7.11109400e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19963400e+05,  7.73600000e+01, -5.68852360e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332040e+05,  5.60800000e+01,\n",
+       "       -3.54714400e+04, -1.64590667e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2MeHexane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -1.646e+05 nan</div><input id='attrs-5633f31d-d094-4899-a317-92c5894a1239' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5633f31d-d094-4899-a317-92c5894a1239' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c44485e-41f2-434e-8c2b-dee954fcb9e4' class='xr-var-data-in' type='checkbox'><label for='data-9c44485e-41f2-434e-8c2b-dee954fcb9e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.04086789e+05,  1.15882353e+01, -3.80943929e+05, -8.53332280e+05,\n",
+       "       -5.51719759e+05, -2.13321560e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19983600e+05,  3.60400000e+01, -5.68871040e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332200e+05,  2.64800000e+01,\n",
+       "       -2.13295680e+05, -1.64599296e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3MeHexane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -1.646e+05 nan</div><input id='attrs-d4667c1e-9093-43b2-886f-5b319ab7281c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4667c1e-9093-43b2-886f-5b319ab7281c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0762c5e6-b771-4ff9-9585-ca144a132a70' class='xr-var-data-in' type='checkbox'><label for='data-0762c5e6-b771-4ff9-9585-ca144a132a70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -2.10518289e+05,  1.24411765e+01, -3.80943536e+05, -8.53332280e+05,\n",
+       "       -5.51719828e+05, -2.13324480e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19982440e+05,  3.99600000e+01, -5.68868520e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332160e+05,  2.90000000e+01,\n",
+       "       -3.55138400e+04, -1.64598926e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x23DimePentane_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -1.646e+05 nan</div><input id='attrs-4ce0ed49-348a-4d6e-89f9-7928d187cec7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ce0ed49-348a-4d6e-89f9-7928d187cec7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bd1f169-3c8b-4da4-aa9a-a975acfaf7a5' class='xr-var-data-in' type='checkbox'><label for='data-2bd1f169-3c8b-4da4-aa9a-a975acfaf7a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.97655447e+05,  8.70588235e+00, -3.80944893e+05, -8.53332200e+05,\n",
+       "       -5.51716966e+05, -2.13312800e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19978640e+05,  4.78400000e+01, -5.68866000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332160e+05,  3.30800000e+01,\n",
+       "       -3.55061200e+04, -1.64596963e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x224TrimePentane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -1.646e+05 nan</div><input id='attrs-679e06f1-bfc5-4474-ac56-0d159f786c81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-679e06f1-bfc5-4474-ac56-0d159f786c81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a927181-a806-4c70-9295-03ee55530717' class='xr-var-data-in' type='checkbox'><label for='data-5a927181-a806-4c70-9295-03ee55530717' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.04085026e+05,  1.31470588e+01, -1.90466107e+05, -4.26664280e+05,\n",
+       "       -3.67807103e+05, -3.55290000e+04, -7.11109400e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19972640e+05,  7.11600000e+01, -5.68851320e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332000e+05,  4.52400000e+01,\n",
+       "       -3.54834400e+04, -1.64589333e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x234TrimePentane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -1.646e+05 nan</div><input id='attrs-ac8aada4-7087-4ea7-9c99-7e6d3f838307' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac8aada4-7087-4ea7-9c99-7e6d3f838307' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f56b8382-57a0-4f05-93f9-183f54665ef4' class='xr-var-data-in' type='checkbox'><label for='data-f56b8382-57a0-4f05-93f9-183f54665ef4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -9.35611579e+04,  8.82352941e+00, -1.90470679e+05, -4.26664120e+05,\n",
+       "        7.37931034e+00, -3.55424800e+04, -5.33330400e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19989440e+05,  2.29600000e+01, -5.68878320e+05,\n",
+       "       -8.53332320e+05, -5.68886280e+05, -4.97775040e+05,  1.70000000e+01,\n",
+       "       -3.55303600e+04, -1.64595741e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CycPentane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -3.621e+05 nan</div><input id='attrs-85683a05-9dd8-4ffd-acca-b37dfff314ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85683a05-9dd8-4ffd-acca-b37dfff314ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3562afb2-88a4-4e6e-859d-226082353904' class='xr-var-data-in' type='checkbox'><label for='data-3562afb2-88a4-4e6e-859d-226082353904' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.97655737e+05,  1.15294118e+01, -3.80942429e+05, -8.88888000e+05,\n",
+       "       -7.04978276e+05, -3.55444800e+04, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19983280e+05,  2.62000000e+01, -5.68877320e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332320e+05,  2.04800000e+01,\n",
+       "       -2.13310560e+05, -3.62135185e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeCycPentane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 3.0 3.0 ... -1.646e+05 nan</div><input id='attrs-a87bbc85-4cad-4d1d-9e76-661ef60eebf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a87bbc85-4cad-4d1d-9e76-661ef60eebf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c200bea-f890-46a2-9337-2c9524e5337d' class='xr-var-data-in' type='checkbox'><label for='data-4c200bea-f890-46a2-9337-2c9524e5337d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  3.00000000e+00,  3.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -1.87115526e+05,  2.63529412e+01, -3.80932750e+05, -6.39998120e+05,\n",
+       "       -5.51716552e+05, -3.55326800e+04, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19966640e+05,  8.18000000e+01, -5.68849160e+05,\n",
+       "       -8.88888000e+05, -8.53332360e+05, -7.11109400e+05,  4.98800000e+01,\n",
+       "       -3.54843200e+04, -1.64594148e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CycHexane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 5.0 5.0 ... -1.646e+05 nan</div><input id='attrs-75122831-a9a1-4bf3-9836-95c98a4a30e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75122831-a9a1-4bf3-9836-95c98a4a30e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e854df00-5977-408b-8e0c-e6fe596878a2' class='xr-var-data-in' type='checkbox'><label for='data-e854df00-5977-408b-8e0c-e6fe596878a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  5.00000000e+00,  5.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -1.87128605e+05,  9.82352941e+00, -3.80943929e+05, -8.88888000e+05,\n",
+       "       -7.04978103e+05, -2.13323080e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19989000e+05,  2.65200000e+01, -5.68876520e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332280e+05,  1.56400000e+01,\n",
+       "       -2.13307760e+05, -1.64604259e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeCycHexane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -3.621e+05 nan</div><input id='attrs-ba29bbbd-4a45-4736-aa9c-cadc70b7de9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba29bbbd-4a45-4736-aa9c-cadc70b7de9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fae378e-a47d-4552-819e-1acf9f614f95' class='xr-var-data-in' type='checkbox'><label for='data-8fae378e-a47d-4552-819e-1acf9f614f95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.97656974e+05,  6.38235294e+00, -3.80946357e+05, -8.88888000e+05,\n",
+       "       -7.04978655e+05, -5.68883040e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19992240e+05,  1.73600000e+01, -5.68879920e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -1.42210440e+05,\n",
+       "       -2.13313960e+05, -3.62136926e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CycPentene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-0f857596-35cb-4b85-9650-111459094a42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f857596-35cb-4b85-9650-111459094a42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d20e344-9c33-48c2-af73-edaf941c3405' class='xr-var-data-in' type='checkbox'><label for='data-2d20e344-9c33-48c2-af73-edaf941c3405' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Benzene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 20.0 20.0 ... 112.8 51.04 nan</div><input id='attrs-709ea1a2-fa1f-43ce-87ca-b481448a9a5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-709ea1a2-fa1f-43ce-87ca-b481448a9a5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cca17552-5878-4fb6-897a-b53bec0e2999' class='xr-var-data-in' type='checkbox'><label for='data-cca17552-5878-4fb6-897a-b53bec0e2999' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  2.00000000e+01,  2.00000000e+01,  7.00000000e+00,\n",
+       "        7.00000000e+00,  6.00000000e+00,  8.00000000e+00,  9.00000000e+00,\n",
+       "        9.00000000e+00,  7.00000000e+00,  1.00000000e+01,  1.00000000e+01,\n",
+       "        5.00000000e+00,  5.00000000e+00,  4.00000000e+00,  1.52105263e+01,\n",
+       "        3.40526316e+01,  4.89117647e+01,  3.72500000e+01,  3.83600000e+01,\n",
+       "        3.79655172e+01,  9.64000000e+01, -1.77772120e+05,  1.27200000e+01,\n",
+       "       -2.13324640e+05, -1.42169560e+05,  1.52280000e+02,  5.04800000e+01,\n",
+       "        1.14800000e+01,  1.62800000e+01, -1.77765080e+05,  1.05800000e+02,\n",
+       "        1.12840000e+02,  5.10370370e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Toluene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 16.0 16.0 ... 210.8 58.07 nan</div><input id='attrs-2e4fb87b-59ac-43dc-b4d2-d1130975aab7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e4fb87b-59ac-43dc-b4d2-d1130975aab7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-503b7dcf-08ab-4b27-96b2-4455f6231f5e' class='xr-var-data-in' type='checkbox'><label for='data-503b7dcf-08ab-4b27-96b2-4455f6231f5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  1.60000000e+01,  1.60000000e+01, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "        3.86578947e+01,  4.80882353e+01,  3.18928571e+01,  1.84800000e+01,\n",
+       "       -1.83874207e+05, -3.54499600e+04, -7.11106600e+05, -3.19996520e+05,\n",
+       "       -5.68886880e+05, -3.19915920e+05,  2.11120000e+02, -1.77684640e+05,\n",
+       "       -3.55515600e+04, -3.19997000e+05, -3.55550000e+05,  1.42040000e+02,\n",
+       "        2.10800000e+02,  5.80740741e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EthBenzene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 4.0 4.0 ... -3.621e+05 nan</div><input id='attrs-ceee994d-388b-4bbc-942a-da15278904e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ceee994d-388b-4bbc-942a-da15278904e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24a0ea8e-75f0-4f81-82f1-a9c40f728ae5' class='xr-var-data-in' type='checkbox'><label for='data-24a0ea8e-75f0-4f81-82f1-a9c40f728ae5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  4.00000000e+00,  4.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.97655632e+05, -1.04568882e+05, -5.71422821e+05, -8.53332360e+05,\n",
+       "       -3.67811586e+05, -2.13319480e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19987600e+05,  2.84800000e+01, -5.68875680e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332200e+05,  1.84000000e+01,\n",
+       "       -2.13305600e+05, -3.62133667e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mpXylene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 9.0 9.0 ... -1.646e+05 nan</div><input id='attrs-ca773df3-5c07-464b-9eab-1225a93bfc0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca773df3-5c07-464b-9eab-1225a93bfc0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f577fa49-5cc5-4a59-b9d5-72dd19e42694' class='xr-var-data-in' type='checkbox'><label for='data-f577fa49-5cc5-4a59-b9d5-72dd19e42694' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  9.00000000e+00,  9.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.04084079e+05,  1.22352941e+01, -5.39676143e+05, -6.39998160e+05,\n",
+       "       -3.67808069e+05, -2.13310120e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19979960e+05,  4.57200000e+01, -5.68867560e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332120e+05,  3.19600000e+01,\n",
+       "       -2.13286440e+05, -1.64601000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oXylene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 12.0 12.0 ... -3.621e+05 nan</div><input id='attrs-ef46be9a-7757-472d-9e31-52c178113cf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef46be9a-7757-472d-9e31-52c178113cf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42bfe7df-8af4-4943-bffe-5b6f57218c09' class='xr-var-data-in' type='checkbox'><label for='data-42bfe7df-8af4-4943-bffe-5b6f57218c09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  1.20000000e+01,  1.20000000e+01, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.97656000e+05, -2.35288588e+05, -5.71425500e+05, -8.88888000e+05,\n",
+       "       -5.21068655e+05, -2.13321840e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.19989600e+05,  2.35600000e+01, -5.68878360e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.53332160e+05,  1.36800000e+01,\n",
+       "       -2.13310920e+05, -3.62136259e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Styrene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 4.0 4.0 ... -8.889e+05 nan</div><input id='attrs-6fa06419-0742-4ff6-8e07-f4e9fdb9882e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fa06419-0742-4ff6-8e07-f4e9fdb9882e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecec4ee5-121a-447b-9e12-65c2e3712629' class='xr-var-data-in' type='checkbox'><label for='data-ecec4ee5-121a-447b-9e12-65c2e3712629' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  4.00000000e+00,  4.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -5.84793474e+05, -7.58168588e+05, -7.30157286e+05, -8.88888000e+05,\n",
+       "       -7.04979310e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -7.11109800e+05, -7.11109400e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -7.11109400e+05,\n",
+       "       -7.11108800e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EthynylBenzene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-937ab48f-fe10-4d6f-baa6-75507fd96514' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-937ab48f-fe10-4d6f-baa6-75507fd96514' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2afe12b4-6bc7-4f5d-b605-eeb5c1669ff8' class='xr-var-data-in' type='checkbox'><label for='data-2afe12b4-6bc7-4f5d-b605-eeb5c1669ff8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iPropBenzene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-a1c85cba-7db3-4014-bc43-5565ca4af100' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1c85cba-7db3-4014-bc43-5565ca4af100' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7accccf-23b6-47a1-b22d-9a3ad6be1075' class='xr-var-data-in' type='checkbox'><label for='data-d7accccf-23b6-47a1-b22d-9a3ad6be1075' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nPropBenzene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 4.0 4.0 ... -8.889e+05 nan</div><input id='attrs-3baa93a3-4585-4e68-97d7-1d1486431b27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3baa93a3-4585-4e68-97d7-1d1486431b27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-893d7d8f-7651-4aec-8ff8-2eb3ff367056' class='xr-var-data-in' type='checkbox'><label for='data-893d7d8f-7651-4aec-8ff8-2eb3ff367056' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  4.00000000e+00,  4.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -6.78360974e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -7.04979310e+05, -5.33331000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -4.97774880e+05, -1.77773800e+05, -5.68886520e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -4.97775280e+05,\n",
+       "       -2.13328920e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3EthToluene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-ac37ed13-ff49-488a-9de1-41d99c507379' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac37ed13-ff49-488a-9de1-41d99c507379' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c34bbd2-594f-4a0b-a3d8-2e27fbbe0d6d' class='xr-var-data-in' type='checkbox'><label for='data-1c34bbd2-594f-4a0b-a3d8-2e27fbbe0d6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -678360.84210526, -627449.47058824,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -711109.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -497775.08      , -177774.24      ,\n",
+       "       -568886.48      , -888888.        , -888888.        ,\n",
+       "       -888888.        , -319997.12      , -213329.08      ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x4EthToluene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 3.0 3.0 ... -8.889e+05 nan</div><input id='attrs-105ba835-b71d-430c-b8b4-7bd646d4b763' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-105ba835-b71d-430c-b8b4-7bd646d4b763' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2c98a9d-e773-4262-a1c8-53009888248e' class='xr-var-data-in' type='checkbox'><label for='data-c2c98a9d-e773-4262-a1c8-53009888248e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  3.00000000e+00,  3.00000000e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -6.78360711e+05, -7.58168735e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -7.04979310e+05, -7.11109400e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -4.97774920e+05, -1.77774640e+05, -5.68886840e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -6.75553720e+05,\n",
+       "       -2.13329680e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2EthToluene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-2677074e-6985-4121-ada9-afb37bd8a4d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2677074e-6985-4121-ada9-afb37bd8a4d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-748fb166-9cef-452d-8703-818903a638f8' class='xr-var-data-in' type='checkbox'><label for='data-748fb166-9cef-452d-8703-818903a638f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -678360.94736842, -888888.        ,\n",
+       "       -888888.        , -888888.        , -704979.51724138,\n",
+       "       -711109.6       , -888888.        , -888888.        ,\n",
+       "       -888888.        , -497775.52      , -568887.08      ,\n",
+       "       -711109.6       , -888888.        , -888888.        ,\n",
+       "       -888888.        , -675554.16      , -391108.64      ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x135rimeBenzene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-2a2f75ea-92ae-493d-992b-be6192a7faa3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a2f75ea-92ae-493d-992b-be6192a7faa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ba1023f-e648-4505-8f3d-b4503636c3ab' class='xr-var-data-in' type='checkbox'><label for='data-3ba1023f-e648-4505-8f3d-b4503636c3ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x124rimeBenzene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-68e58bb5-82ca-47c3-91db-547de5ea0e95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68e58bb5-82ca-47c3-91db-547de5ea0e95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07957089-ced7-4cb9-9282-2a9504cd1ecd' class='xr-var-data-in' type='checkbox'><label for='data-07957089-ced7-4cb9-9282-2a9504cd1ecd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -795320.21052632, -627449.47058824,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -711109.2       , -888888.        , -888888.        ,\n",
+       "       -888888.        , -497774.84      , -177774.52      ,\n",
+       "       -568886.84      , -888888.        , -888888.        ,\n",
+       "       -888888.        , -319996.92      , -213329.28      ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ClBenzene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-9b67358c-e5ae-4b66-967a-51c1a9298fec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b67358c-e5ae-4b66-967a-51c1a9298fec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1c6f022-96ea-45de-ba0f-c3aae81b0579' class='xr-var-data-in' type='checkbox'><label for='data-e1c6f022-96ea-45de-ba0f-c3aae81b0579' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aPinene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-b9efb2a0-4b76-4647-b009-b4ec521a6722' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9efb2a0-4b76-4647-b009-b4ec521a6722' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78e96149-8e03-4bff-ae50-89dddf85072c' class='xr-var-data-in' type='checkbox'><label for='data-78e96149-8e03-4bff-ae50-89dddf85072c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -888888.  , -888888.  , -698410.5 , -888888.  ,\n",
+       "       -888888.  , -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -853332.32, -568886.28, -711109.2 , -888888.  , -888888.  ,\n",
+       "       -888888.  , -675553.72, -391107.48, -888888.  ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bPinene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-7ff6a7b6-963d-49a7-9034-3130ac0864c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ff6a7b6-963d-49a7-9034-3130ac0864c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0757bea2-947b-454e-839e-8ba799c106dc' class='xr-var-data-in' type='checkbox'><label for='data-0757bea2-947b-454e-839e-8ba799c106dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -758168.44117647,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tricyclene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-0d322233-8f56-4f99-bc0b-3991c6498a90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d322233-8f56-4f99-bc0b-3991c6498a90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-758286fb-173d-41b6-9ea1-f9d5872b9cb1' class='xr-var-data-in' type='checkbox'><label for='data-758286fb-173d-41b6-9ea1-f9d5872b9cb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Camphene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-02bf8958-fcd6-4e0d-8cdd-b7efdca2ce1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02bf8958-fcd6-4e0d-8cdd-b7efdca2ce1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62da4852-8121-4a02-b690-c75af7a857a5' class='xr-var-data-in' type='checkbox'><label for='data-62da4852-8121-4a02-b690-c75af7a857a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Myrcene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-84600c67-2b92-4787-8ca8-f28739d06568' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84600c67-2b92-4787-8ca8-f28739d06568' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe129ff0-1186-47a7-af57-34912844b73d' class='xr-var-data-in' type='checkbox'><label for='data-fe129ff0-1186-47a7-af57-34912844b73d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -784312.47058824,\n",
+       "       -857141.85714286, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Limonene_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-ecbc4a7a-0101-4784-ad83-03e9bdaf0987' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecbc4a7a-0101-4784-ad83-03e9bdaf0987' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a447a86a-688e-4557-9cae-61b9e7560e68' class='xr-var-data-in' type='checkbox'><label for='data-a447a86a-688e-4557-9cae-61b9e7560e68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Furan_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-a0fb1026-6add-46f7-8bd6-1b12cfd76016' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0fb1026-6add-46f7-8bd6-1b12cfd76016' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fc55333-245b-43d0-b1b8-a8057866838a' class='xr-var-data-in' type='checkbox'><label for='data-1fc55333-245b-43d0-b1b8-a8057866838a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  4.00000000e+00,\n",
+       "        4.00000000e+00, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -7.30157464e+05, -6.75552960e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2MeFuran_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-bad46a7c-3aee-4a15-b517-a79b515191c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bad46a7c-3aee-4a15-b517-a79b515191c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56976047-1524-460a-af29-910e484774fa' class='xr-var-data-in' type='checkbox'><label for='data-56976047-1524-460a-af29-910e484774fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3MeFuran_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-34e83981-40ed-463b-a9f9-1e95c89a0c49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34e83981-40ed-463b-a9f9-1e95c89a0c49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb9498b6-608b-4a68-a09d-ffe88b747b0c' class='xr-var-data-in' type='checkbox'><label for='data-bb9498b6-608b-4a68-a09d-ffe88b747b0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     nan, -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BenzFuran_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-5127a141-f2f8-4067-bdbd-752c4ca2fd15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5127a141-f2f8-4067-bdbd-752c4ca2fd15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-281e5728-19f2-4f07-aa0a-440eaeabcbe8' class='xr-var-data-in' type='checkbox'><label for='data-281e5728-19f2-4f07-aa0a-440eaeabcbe8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([             nan, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -627448.73529412,\n",
+       "       -888888.        , -675554.16      , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -711109.8       ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iButanal_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 23.0 23.0 ... 26.92 19.44 nan</div><input id='attrs-07e324d4-015e-4d2b-9b2a-4ac6fd9e92c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07e324d4-015e-4d2b-9b2a-4ac6fd9e92c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e69f722-3f30-42cb-8e4c-32b545efc2e1' class='xr-var-data-in' type='checkbox'><label for='data-1e69f722-3f30-42cb-8e4c-32b545efc2e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  2.30000000e+01,  2.30000000e+01,  1.20000000e+01,\n",
+       "        1.20000000e+01, -8.88888000e+05,  4.60000000e+01,  2.30000000e+01,\n",
+       "        2.30000000e+01, -8.88888000e+05,  5.00000000e+00,  5.00000000e+00,\n",
+       "        1.50000000e+01, -8.88888000e+05, -8.88888000e+05,  7.00000000e+00,\n",
+       "        1.73157895e+01,  2.52941176e+01,  1.68571429e+01,  1.42400000e+01,\n",
+       "        1.43103448e+01,  1.22000000e+01, -3.91106760e+05, -1.77770000e+05,\n",
+       "       -7.11109400e+05, -3.19989360e+05,  2.50800000e+01,  1.42400000e+01,\n",
+       "       -1.77769320e+05,  9.32000000e+00,  1.27200000e+01,  2.63200000e+01,\n",
+       "        2.69200000e+01,  1.94444444e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Butanal_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 76.0 76.0 ... 28.04 23.81 nan</div><input id='attrs-d7975b0a-df36-4396-a557-953640b0cd88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7975b0a-df36-4396-a557-953640b0cd88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecbc5205-87e0-4a06-99fc-a5002e9ed9d7' class='xr-var-data-in' type='checkbox'><label for='data-ecbc5205-87e0-4a06-99fc-a5002e9ed9d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan, 76.        , 76.        , 24.        , 21.        ,\n",
+       "       15.        , 31.        , 22.        , 22.        , 12.        ,\n",
+       "       13.        , 13.        , 27.        ,  9.        ,  9.        ,\n",
+       "       19.89473684, 32.13157895, 37.94117647, 36.07142857, 21.68      ,\n",
+       "       26.93103448, 22.08      , 13.12      , 12.76      , 10.96      ,\n",
+       "       22.04      , 39.36      , 27.36      , 16.32      , 17.76      ,\n",
+       "       20.6       , 40.04      , 28.04      , 23.81481481,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AcetonePropanal_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 1.885e+03 ... 3.046e+03 nan</div><input id='attrs-03c43477-5f25-413c-ac60-0a01ce67e2e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03c43477-5f25-413c-ac60-0a01ce67e2e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8531e60a-1bef-46cc-b381-06e5d70b7fb4' class='xr-var-data-in' type='checkbox'><label for='data-8531e60a-1bef-46cc-b381-06e5d70b7fb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([          nan, 1885.        , 1885.        , 1549.        ,\n",
+       "        855.        ,  499.        , 1203.        ,  922.        ,\n",
+       "        922.        ,  821.        , 1172.        , 1172.        ,\n",
+       "        791.        ,  554.        ,  554.        , 1633.        ,\n",
+       "       3960.28947368, 4950.88235294, 2840.71428571, 1846.56      ,\n",
+       "       2287.34482759, 3505.68      ,  757.        ,  856.12      ,\n",
+       "        526.44      , 2815.08      , 6130.2       , 2900.48      ,\n",
+       "        745.76      ,  668.72      , 1170.56      , 4151.8       ,\n",
+       "       5115.56      , 3046.11111111,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MEK_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 196.0 196.0 ... 473.0 306.6 nan</div><input id='attrs-0c052a86-8dc5-425f-986e-d140f6c0a1ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c052a86-8dc5-425f-986e-d140f6c0a1ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-424c2a14-aba3-44e3-88de-c4acd567e12a' class='xr-var-data-in' type='checkbox'><label for='data-424c2a14-aba3-44e3-88de-c4acd567e12a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan, 196.        , 196.        , 192.        ,\n",
+       "       106.        , 158.        , 182.        , 168.        ,\n",
+       "       168.        , 154.        , 115.        , 115.        ,\n",
+       "       137.        , 125.        , 131.        , 211.73684211,\n",
+       "       335.81578947, 453.61764706, 311.17857143, 245.        ,\n",
+       "       261.96551724, 290.48      ,  73.52      , 122.32      ,\n",
+       "        81.48      , 206.72      , 541.84      , 274.48      ,\n",
+       "        88.88      ,  81.72      , 140.32      , 363.36      ,\n",
+       "       473.        , 306.62962963,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MAC_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 22.0 22.0 ... 254.6 70.15 nan</div><input id='attrs-2ed0b792-b31f-4ec3-acc6-f658c7ce9046' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ed0b792-b31f-4ec3-acc6-f658c7ce9046' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71ed3801-01f1-45b7-b1cf-9892aa6e55bb' class='xr-var-data-in' type='checkbox'><label for='data-71ed3801-01f1-45b7-b1cf-9892aa6e55bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  2.20000000e+01,  2.20000000e+01,  1.00000000e+01,\n",
+       "       -8.88888000e+05, -8.88888000e+05,  1.40000000e+01,  2.00000000e+01,\n",
+       "        2.00000000e+01, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "        8.00000000e+00, -8.88888000e+05, -8.88888000e+05, -2.33910947e+05,\n",
+       "        6.26842105e+01,  3.60000000e+01,  4.84285714e+01,  2.64000000e+01,\n",
+       "        2.52413793e+01,  1.27520000e+02, -5.68884160e+05, -7.11109200e+05,\n",
+       "       -8.88888000e+05, -3.19868560e+05,  2.86240000e+02,  1.76160000e+02,\n",
+       "       -3.55547920e+05, -1.77766880e+05, -1.77767280e+05,  1.50800000e+02,\n",
+       "        2.54640000e+02,  7.01481481e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MVK_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 58.0 58.0 ... 296.0 171.9 nan</div><input id='attrs-c9b8bf40-1c1b-4d0d-851f-4ca4bfef02a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9b8bf40-1c1b-4d0d-851f-4ca4bfef02a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-834caa03-589d-44cf-ae50-01432e8e90fa' class='xr-var-data-in' type='checkbox'><label for='data-834caa03-589d-44cf-ae50-01432e8e90fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([         nan,  58.        ,  58.        ,  32.        ,\n",
+       "        14.        ,  14.        ,  48.        , 106.        ,\n",
+       "       106.        ,  24.        ,  28.        ,  28.        ,\n",
+       "        28.        ,  20.        ,  20.        ,  43.78947368,\n",
+       "       166.78947368, 108.35294118,  96.64285714,  62.16      ,\n",
+       "        71.79310345, 203.84      ,  24.96      ,  20.32      ,\n",
+       "        19.12      , 210.8       , 474.56      , 317.12      ,\n",
+       "        34.32      ,  36.32      ,  44.8       , 262.64      ,\n",
+       "       296.        , 171.92592593,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Acrolein_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 26.0 26.0 ... 35.85 nan</div><input id='attrs-a9dbd3fb-0b28-4005-a487-e6f7fef0dd13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9dbd3fb-0b28-4005-a487-e6f7fef0dd13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-548051db-7076-4707-86ec-92212143558b' class='xr-var-data-in' type='checkbox'><label for='data-548051db-7076-4707-86ec-92212143558b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  2.60000000e+01,  2.60000000e+01,  2.20000000e+01,\n",
+       "       -8.88888000e+05, -8.88888000e+05,  5.00000000e+01,  6.60000000e+01,\n",
+       "        6.60000000e+01,  1.40000000e+01,  2.40000000e+01,  2.40000000e+01,\n",
+       "        1.80000000e+01,  1.00000000e+01,  1.60000000e+01,  1.88421053e+01,\n",
+       "        4.00526316e+01,  5.84117647e+01,  4.91428571e+01,  4.36800000e+01,\n",
+       "        2.81379310e+01,  3.63200000e+01, -3.91102400e+05, -5.33327200e+05,\n",
+       "       -7.11108800e+05, -1.42194480e+05,  6.00800000e+01,  3.23200000e+01,\n",
+       "       -1.77767760e+05, -5.33324960e+05, -1.77767200e+05,  4.18400000e+01,\n",
+       "       -1.77735440e+05,  3.58518519e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iPropanol_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 23.0 23.0 ... 104.2 58.41 nan</div><input id='attrs-b5b516e6-b74c-4f9c-a087-d3ebc36dfaa8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5b516e6-b74c-4f9c-a087-d3ebc36dfaa8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c1fe682-9efd-4486-9b10-77c16bfec215' class='xr-var-data-in' type='checkbox'><label for='data-7c1fe682-9efd-4486-9b10-77c16bfec215' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  2.30000000e+01,  2.30000000e+01,  6.00000000e+00,\n",
+       "        5.00000000e+00, -8.88888000e+05,  1.00000000e+01,  9.00000000e+00,\n",
+       "        9.00000000e+00, -8.88888000e+05,  4.00000000e+00,  4.00000000e+00,\n",
+       "        5.00000000e+00, -8.88888000e+05,  3.00000000e+00,  9.68421053e+00,\n",
+       "        6.11578947e+01,  5.79411765e+01,  2.10714286e+01,  1.43600000e+01,\n",
+       "        2.05172414e+01,  5.80800000e+01, -3.91106080e+05, -1.42216520e+05,\n",
+       "       -2.13330080e+05, -3.19944040e+05,  1.48400000e+02,  6.85200000e+01,\n",
+       "        7.48000000e+00,  8.64000000e+00,  2.10000000e+01,  7.76000000e+01,\n",
+       "        1.04240000e+02,  5.84074074e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Nitromethane_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 37.0 37.0 ... 44.36 26.56 nan</div><input id='attrs-50e35560-ca0c-43b9-a530-18b999cd1bc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50e35560-ca0c-43b9-a530-18b999cd1bc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d922fb7-0ce1-4408-b0cb-26fec8468595' class='xr-var-data-in' type='checkbox'><label for='data-2d922fb7-0ce1-4408-b0cb-26fec8468595' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  3.70000000e+01,  3.70000000e+01,  9.00000000e+00,\n",
+       "        7.00000000e+00,  7.00000000e+00,  1.60000000e+01,  9.00000000e+00,\n",
+       "        9.00000000e+00,  1.40000000e+01,  3.00000000e+01,  3.00000000e+01,\n",
+       "        8.00000000e+00,  8.00000000e+00,  9.00000000e+00,  1.50000000e+01,\n",
+       "        4.47368421e+01,  4.93529412e+01,  2.85357143e+01,  4.50000000e+01,\n",
+       "        3.04827586e+01,  2.76400000e+01, -3.55456800e+04, -1.42211840e+05,\n",
+       "        1.15600000e+01,  3.97200000e+01,  6.46800000e+01,  7.16000000e+01,\n",
+       "        1.16800000e+01,  1.31200000e+01,  1.16800000e+01,  2.85200000e+01,\n",
+       "        4.43600000e+01,  2.65555556e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Acrylonitrile_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-a4c445e5-cc4f-45ab-ac6c-074454d9c044' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4c445e5-cc4f-45ab-ac6c-074454d9c044' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79a620c3-a474-4d8e-85ef-704ae0f4acdc' class='xr-var-data-in' type='checkbox'><label for='data-79a620c3-a474-4d8e-85ef-704ae0f4acdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan, -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -888888.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -888888.  , -888888.  , -888888.  , -675549.12,\n",
+       "       -888888.  , -711107.  , -888888.  , -888888.  , -888888.  ,\n",
+       "       -888888.  , -533326.2 , -888888.  , -888888.  , -888888.  ,\n",
+       "       -853332.  , -568885.  , -888888.  , -888888.  ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PropNitrile_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 18.0 18.0 ... 17.04 14.11 nan</div><input id='attrs-1300c4ba-84d4-4631-8003-eeea497b2b31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1300c4ba-84d4-4631-8003-eeea497b2b31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ce19269-3b66-44fa-9c48-120f34dd8617' class='xr-var-data-in' type='checkbox'><label for='data-4ce19269-3b66-44fa-9c48-120f34dd8617' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  1.80000000e+01,  1.80000000e+01,  9.00000000e+00,\n",
+       "        9.00000000e+00,  4.00000000e+00,  1.90000000e+01,  4.00000000e+00,\n",
+       "        4.00000000e+00,  1.30000000e+01,  1.90000000e+01,  1.90000000e+01,\n",
+       "        9.00000000e+00, -8.88888000e+05,  7.00000000e+00,  2.13684211e+01,\n",
+       "        1.61578947e+01,  1.80882353e+01,  1.48571429e+01,  1.83600000e+01,\n",
+       "        1.36206897e+01,  2.88800000e+01,  1.10000000e+01,  1.15600000e+01,\n",
+       "        1.08000000e+01,  1.20400000e+01,  2.11600000e+01, -1.77767560e+05,\n",
+       "        1.63200000e+01,  8.88000000e+00,  1.35200000e+01,  1.74800000e+01,\n",
+       "        1.70400000e+01,  1.41111111e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeAcetate_WAS_BLAKE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 22.0 22.0 ... 138.3 54.81 nan</div><input id='attrs-376b7c6c-d44c-4225-be9f-948bf63c9d44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-376b7c6c-d44c-4225-be9f-948bf63c9d44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a16aebb-85ce-4f52-afd7-7562fca346be' class='xr-var-data-in' type='checkbox'><label for='data-1a16aebb-85ce-4f52-afd7-7562fca346be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,  2.20000000e+01,  2.20000000e+01,  1.50000000e+01,\n",
+       "        1.10000000e+01,  8.00000000e+00,  8.00000000e+00,  8.00000000e+00,\n",
+       "        8.00000000e+00,  1.00000000e+01,  1.40000000e+01,  1.40000000e+01,\n",
+       "        8.00000000e+00, -8.88888000e+05,  1.20000000e+01,  1.89473684e+01,\n",
+       "        7.79736842e+01,  9.89117647e+01,  5.33214286e+01,  3.00000000e+01,\n",
+       "        3.97931034e+01,  7.28400000e+01,  1.11200000e+01,  1.05200000e+01,\n",
+       "        7.32000000e+00,  5.66000000e+01,  1.48600000e+02,  6.21200000e+01,\n",
+       "       -1.77769360e+05,  8.72000000e+00,  1.69200000e+01,  8.99600000e+01,\n",
+       "        1.38280000e+02,  5.48148148e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HFC134a_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>243.9 141.3 145.5 ... 238.7 nan</div><input id='attrs-703cba92-425b-4cc1-9cac-87e59791c659' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-703cba92-425b-4cc1-9cac-87e59791c659' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc599872-7bd4-40ce-9e12-66c7c7813333' class='xr-var-data-in' type='checkbox'><label for='data-dc599872-7bd4-40ce-9e12-66c7c7813333' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([243.95      , 141.29090909, 145.50909091, 151.76666667,\n",
+       "       150.15      , 150.05882353, 150.38666667, 148.425     ,\n",
+       "       152.12727273, 156.03636364, 158.5       , 153.86      ,\n",
+       "       146.36666667, 146.72608696, 144.81666667, 139.54545455,\n",
+       "       157.2       , 186.74166667, 160.33043478, 146.7       ,\n",
+       "       183.3       , 206.15      , 130.6       , 125.92727273,\n",
+       "       127.11666667, 240.68695652, 343.        , 208.3       ,\n",
+       "       124.38333333, 128.33636364, 124.80909091, 340.65      ,\n",
+       "       320.33913043, 238.65714286,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCFC141b_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>49.8 47.35 47.03 ... 49.58 nan</div><input id='attrs-74bbb4f2-cecd-4933-8d35-257d28a1fb93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74bbb4f2-cecd-4933-8d35-257d28a1fb93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-155f4661-3364-43b0-8543-b524371babea' class='xr-var-data-in' type='checkbox'><label for='data-155f4661-3364-43b0-8543-b524371babea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([49.8       , 47.35454545, 47.02727273, 48.18333333, 48.625     ,\n",
+       "       48.62352941, 47.8       , 48.575     , 48.25454545, 49.10909091,\n",
+       "       49.15      , 49.64      , 47.82222222, 47.44347826, 47.18333333,\n",
+       "       46.60909091, 47.21538462, 52.1       , 49.16521739, 45.17142857,\n",
+       "       48.03333333, 48.93333333, 42.50909091, 43.74545455, 43.56666667,\n",
+       "       87.40434783, 64.11904762, 47.43333333, 43.36666667, 43.36363636,\n",
+       "       41.54545455, 65.66666667, 61.0826087 , 49.57619048,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCFC142b_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>21.85 22.69 23.49 ... 22.56 nan</div><input id='attrs-d6e4ccfc-4059-4c8d-96f4-5f7e784c2148' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6e4ccfc-4059-4c8d-96f4-5f7e784c2148' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7174e7c0-19dd-4fdf-b875-ec6b163b1cbc' class='xr-var-data-in' type='checkbox'><label for='data-7174e7c0-19dd-4fdf-b875-ec6b163b1cbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([21.85      , 22.69090909, 23.49090909, 23.35      , 22.6       ,\n",
+       "       23.92352941, 25.07333333, 22.925     , 23.25454545, 23.96363636,\n",
+       "       22.85      , 23.54      , 22.03333333, 22.73478261, 23.23333333,\n",
+       "       23.29090909, 21.28461538, 21.54166667, 21.27826087, 21.5047619 ,\n",
+       "       22.41666667, 22.6       , 21.59090909, 21.46363636, 21.2       ,\n",
+       "       21.93478261, 22.66190476, 20.9       , 20.43333333, 21.21818182,\n",
+       "       21.63636364, 22.1       , 22.1826087 , 22.56190476,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCFC22_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>252.0 240.1 247.2 ... 356.0 nan</div><input id='attrs-1f2e4772-f3d3-4671-ab38-d05dc9fb4069' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f2e4772-f3d3-4671-ab38-d05dc9fb4069' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38ff77d8-a58e-4fad-ae1c-052aefb2e436' class='xr-var-data-in' type='checkbox'><label for='data-38ff77d8-a58e-4fad-ae1c-052aefb2e436' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([252.        , 240.09090909, 247.18181818, 250.66666667,\n",
+       "       250.75      , 252.82352941, 252.66666667, 249.        ,\n",
+       "       253.54545455, 256.45454545, 255.66666667, 258.4       ,\n",
+       "       253.33333333, 253.91304348, 252.33333333, 245.72727273,\n",
+       "       258.53846154, 288.        , 249.91304348, 245.19047619,\n",
+       "       288.66666667, 297.66666667, 227.54545455, 225.        ,\n",
+       "       222.5       , 327.13043478, 426.66666667, 296.        ,\n",
+       "       223.83333333, 226.36363636, 220.18181818, 419.33333333,\n",
+       "       390.13043478, 355.95238095,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2Cl2_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>56.4 48.05 46.99 ... 76.59 nan</div><input id='attrs-df213334-2e93-4bb3-bee5-4644233a2b0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df213334-2e93-4bb3-bee5-4644233a2b0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-022cccda-e0bb-4355-9d6f-30f890b15bde' class='xr-var-data-in' type='checkbox'><label for='data-022cccda-e0bb-4355-9d6f-30f890b15bde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 56.4       ,  48.04545455,  46.99090909,  46.63333333,\n",
+       "        45.575     ,  43.51764706,  39.82666667,  44.15      ,\n",
+       "        41.85454545,  46.30909091,  50.63333333,  46.58      ,\n",
+       "        36.88888889,  43.39130435,  46.53333333,  53.89090909,\n",
+       "        57.56153846,  62.21666667,  58.73913043,  55.82857143,\n",
+       "        72.9       ,  80.61666667,  36.80909091,  52.17272727,\n",
+       "        46.4       ,  80.57391304, 120.20952381,  82.6       ,\n",
+       "        47.48333333,  53.49090909,  37.98181818, 107.61666667,\n",
+       "       130.76521739,  76.59047619,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHCl3_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.11 8.503 8.481 ... 14.28 nan</div><input id='attrs-0b1b51c3-a664-4198-9543-10d3f48ef82d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b1b51c3-a664-4198-9543-10d3f48ef82d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6527fc42-cf8a-447d-9a6a-2bfc219f701b' class='xr-var-data-in' type='checkbox'><label for='data-6527fc42-cf8a-447d-9a6a-2bfc219f701b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([13.105     ,  8.50272727,  8.48090909,  8.00833333,  8.1075    ,\n",
+       "        7.69529412,  7.82266667,  7.7225    ,  8.49181818,  9.76454545,\n",
+       "        9.77666667,  9.258     ,  8.25555556,  8.46869565,  8.26833333,\n",
+       "        9.36363636, 13.09846154, 16.92583333, 13.51304348, 10.01809524,\n",
+       "       12.83666667, 13.78666667,  6.94818182, 11.04636364,  9.40666667,\n",
+       "       15.77130435, 25.24095238, 10.63833333, 10.49666667, 12.41181818,\n",
+       "        6.90636364, 21.61      , 18.41217391, 14.27809524,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2ClCH2Cl_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.4 9.564 9.231 ... 10.88 9.61 nan</div><input id='attrs-8e87604c-6fd7-4e53-80ea-a00265655b51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e87604c-6fd7-4e53-80ea-a00265655b51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f270ea3c-65db-4044-96e9-976c5b512571' class='xr-var-data-in' type='checkbox'><label for='data-f270ea3c-65db-4044-96e9-976c5b512571' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([12.4       ,  9.56363636,  9.23090909,  8.66333333,  8.0025    ,\n",
+       "        8.14882353,  8.13      ,  7.97      ,  7.29454545,  8.13090909,\n",
+       "        9.06666667,  8.48      ,  5.39888889,  7.02478261,  8.43      ,\n",
+       "       11.32181818, 10.51769231, 10.6325    ,  9.86956522,  9.62238095,\n",
+       "       10.61666667,  9.46166667,  5.13545455,  9.78818182,  8.28666667,\n",
+       "        7.41913043, 11.52      ,  6.69166667,  8.65166667, 10.39636364,\n",
+       "        5.63636364, 10.54166667, 10.88434783,  9.61047619,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3CCl3_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.83 1.631 1.687 ... 1.875 nan</div><input id='attrs-1011d050-9d33-4903-8e32-a66cfd0bb90e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1011d050-9d33-4903-8e32-a66cfd0bb90e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c16ddeca-3ce0-4572-9a88-91fa8ac494bf' class='xr-var-data-in' type='checkbox'><label for='data-c16ddeca-3ce0-4572-9a88-91fa8ac494bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1.83      , 1.63090909, 1.68727273, 1.74333333, 1.7725    ,\n",
+       "       1.64176471, 1.774     , 2.01      , 1.88272727, 1.56636364,\n",
+       "       1.70666667, 1.654     , 1.74555556, 1.62130435, 1.58666667,\n",
+       "       1.53636364, 1.59153846, 1.655     , 1.73086957, 1.81333333,\n",
+       "       1.66      , 1.75666667, 1.52727273, 1.53454545, 1.59833333,\n",
+       "       1.85434783, 2.30047619, 1.71666667, 1.565     , 1.49454545,\n",
+       "       1.56545455, 2.13833333, 2.00652174, 1.8747619 ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C2Cl4_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.46 1.287 1.033 ... 7.568 nan</div><input id='attrs-9f49e12d-d54c-4352-a2d4-c7726ed151f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f49e12d-d54c-4352-a2d4-c7726ed151f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0073cb9a-3d34-4417-b2eb-d85094ce2f18' class='xr-var-data-in' type='checkbox'><label for='data-0073cb9a-3d34-4417-b2eb-d85094ce2f18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.46000000e+00,  1.28727273e+00,  1.03272727e+00,  1.16500000e+00,\n",
+       "        1.09500000e+00,  8.59411765e-01,  9.62000000e-01,  9.52500000e-01,\n",
+       "        8.67272727e-01,  1.10545455e+00,  1.25333333e+00, -1.77776782e+05,\n",
+       "        6.93333333e-01,  6.24347826e-01,  6.45000000e-01,  1.20636364e+00,\n",
+       "        1.57307692e+00,  2.03416667e+00,  2.05304348e+00,  1.85571429e+00,\n",
+       "        4.87333333e+00,  5.43500000e+00,  1.00727273e+00,  1.07272727e+00,\n",
+       "        9.33333333e-01,  1.08560870e+01,  1.71042857e+01,  6.06333333e+00,\n",
+       "        9.30000000e-01,  1.13363636e+00,  8.33636364e-01,  1.26400000e+01,\n",
+       "        1.26152174e+01,  7.56809524e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ClBenzene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.555 -7.273e+05 ... -1.693e+05 nan</div><input id='attrs-a1e7786e-4643-40af-aaa4-d6a352f2b58a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1e7786e-4643-40af-aaa4-d6a352f2b58a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cdf3c32-aefe-45f6-9caa-b0c607d1b86b' class='xr-var-data-in' type='checkbox'><label for='data-2cdf3c32-aefe-45f6-9caa-b0c607d1b86b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.55000000e-01, -7.27271896e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -6.66665855e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -6.83759947e+05, -5.18517861e+05, -4.63767469e+05, -7.19575950e+05,\n",
+       "       -4.44443717e+05, -2.96295688e+05, -7.27271929e+05, -2.42423702e+05,\n",
+       "       -2.96295730e+05, -3.09177935e+05,  1.03571429e+00, -5.92591662e+05,\n",
+       "       -2.96295657e+05,  4.50000000e-01, -8.08079968e+05,  8.50000000e-01,\n",
+       "        7.85652174e-01, -1.69311531e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHBrCl2_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.32 0.2218 0.2018 ... 0.8519 nan</div><input id='attrs-d1429a0b-bbe2-4e24-8b82-e44178cb3e21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1429a0b-bbe2-4e24-8b82-e44178cb3e21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4ad39df-be18-4726-b85b-9b50cfbb9306' class='xr-var-data-in' type='checkbox'><label for='data-a4ad39df-be18-4726-b85b-9b50cfbb9306' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.20000000e-01,  2.21818182e-01,  2.01818182e-01,  2.81666667e-01,\n",
+       "       -2.22221830e+05, -6.27450300e+05,  2.78666667e-01, -2.22221753e+05,\n",
+       "       -1.61615823e+05, -3.23231788e+05,  4.10000000e-01, -1.77777312e+05,\n",
+       "       -3.95061248e+05, -6.18356811e+05, -4.44443905e+05,  3.29090909e-01,\n",
+       "       -2.73503661e+05,  7.30833333e-01,  6.49130435e-01,  3.90476190e-01,\n",
+       "        8.33333333e-01,  8.53333333e-01,  2.20000000e-01,  5.10909091e-01,\n",
+       "        3.33333333e-01, -1.54587900e+05,  2.07761905e+00,  6.26666667e-01,\n",
+       "        4.18333333e-01,  5.55454545e-01, -4.84847892e+05,  1.87500000e+00,\n",
+       "        1.28826087e+00,  8.51904762e-01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHBr2Cl_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7ae61c0d-0627-4d83-83d0-a47d02dfef15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ae61c0d-0627-4d83-83d0-a47d02dfef15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87494ed1-d429-4777-ae32-bfd1f0ee27fe' class='xr-var-data-in' type='checkbox'><label for='data-87494ed1-d429-4777-ae32-bfd1f0ee27fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3Br_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.645 7.132 7.085 ... 7.096 nan</div><input id='attrs-eeab048b-2648-4f5c-a617-bbae29f425c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eeab048b-2648-4f5c-a617-bbae29f425c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f30dedf4-71ae-4ab2-873f-41378fae57ef' class='xr-var-data-in' type='checkbox'><label for='data-f30dedf4-71ae-4ab2-873f-41378fae57ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 6.645     ,  7.13181818,  7.08454545,  7.31166667,  7.585     ,\n",
+       "        7.45176471,  6.904     ,  7.5175    ,  7.30727273,  6.81454545,\n",
+       "        7.61      ,  7.194     ,  7.83222222,  6.87434783,  6.51666667,\n",
+       "        7.34818182, 13.05      , 11.02666667,  8.73652174,  7.72666667,\n",
+       "        7.795     ,  7.48      ,  6.33909091,  6.85727273,  6.64666667,\n",
+       "        7.86217391,  9.92428571,  6.94833333,  6.7       ,  7.09727273,\n",
+       "        6.49      ,  9.81166667, 10.32086957,  7.09619048,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2Br2_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.65 0.5836 0.58 ... 0.7357 nan</div><input id='attrs-a1ba374a-b50e-4401-9cfb-f6936d7bb2f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1ba374a-b50e-4401-9cfb-f6936d7bb2f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ee59d2b-4812-4203-bf9e-8420877f68c9' class='xr-var-data-in' type='checkbox'><label for='data-0ee59d2b-4812-4203-bf9e-8420877f68c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.65      , 0.58363636, 0.58      , 0.69166667, 0.7225    ,\n",
+       "       0.63352941, 0.76466667, 0.655     , 0.70909091, 0.69454545,\n",
+       "       0.66833333, 0.714     , 0.78333333, 0.62565217, 0.60833333,\n",
+       "       0.59181818, 0.55307692, 0.57166667, 0.63956522, 0.60190476,\n",
+       "       0.68166667, 0.72666667, 0.50727273, 1.50363636, 1.26333333,\n",
+       "       0.85043478, 0.88      , 0.705     , 1.50666667, 1.86090909,\n",
+       "       0.60454545, 0.975     , 0.8726087 , 0.73571429,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHBr3_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.41 0.1127 ... 0.3176 nan</div><input id='attrs-e9a92a0c-47a4-4858-aeeb-e25a2c42d32b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9a92a0c-47a4-4858-aeeb-e25a2c42d32b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29e84598-b14b-4720-aff0-0b55bbc39c82' class='xr-var-data-in' type='checkbox'><label for='data-29e84598-b14b-4720-aff0-0b55bbc39c82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 4.10000000e-01,  1.12727273e-01, -3.23231944e+05, -1.48147910e+05,\n",
+       "        1.47500000e-01, -4.18300111e+05,  5.93333333e-02,  8.75000000e-02,\n",
+       "       -6.46463980e+05, -4.84847944e+05, -7.40739978e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.14813993e+05, -2.70531010e+05, -4.23278152e+04,\n",
+       "        1.96666667e-01,  9.00000000e-02, -1.61615919e+05,  8.02727273e-01,\n",
+       "        3.31666667e-01,  3.96956522e-01,  8.30000000e-01, -2.96295757e+05,\n",
+       "       -1.48147345e+05,  1.15636364e+00,  1.52727273e-01,  5.76666667e-01,\n",
+       "        3.74347826e-01,  3.17619048e-01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2ClI_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-592792f0-0cc0-4e5d-96bc-08ad6accc00d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-592792f0-0cc0-4e5d-96bc-08ad6accc00d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a4f7f93-15a3-46da-a33e-30707b133bdf' class='xr-var-data-in' type='checkbox'><label for='data-0a4f7f93-15a3-46da-a33e-30707b133bdf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3I_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.012 0.6062 0.5331 ... 1.145 nan</div><input id='attrs-3369ca32-f1dc-4bca-bf49-8e53699f3fb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3369ca32-f1dc-4bca-bf49-8e53699f3fb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd232d2e-8361-444a-b859-9936559b64b5' class='xr-var-data-in' type='checkbox'><label for='data-cd232d2e-8361-444a-b859-9936559b64b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1.0125    , 0.60618182, 0.53309091, 0.51983333, 0.40875   ,\n",
+       "       0.32      , 0.2896    , 0.36375   , 0.29063636, 0.42772727,\n",
+       "       0.5165    , 0.4074    , 0.23966667, 0.16152174, 0.17283333,\n",
+       "       0.53409091, 0.947     , 1.622     , 0.92408696, 0.70390476,\n",
+       "       0.971     , 1.04466667, 0.31645455, 3.13863636, 2.39466667,\n",
+       "       1.43208696, 1.82466667, 0.90616667, 2.81766667, 4.307     ,\n",
+       "       0.49445455, 2.10383333, 1.69856522, 1.14461905,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CS2_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.2 0.8455 0.7727 ... 2.148 nan</div><input id='attrs-a0b9780a-35a9-4411-ac1e-3e3efcc20b68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0b9780a-35a9-4411-ac1e-3e3efcc20b68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57cdec6d-2855-46aa-b271-ae415615387e' class='xr-var-data-in' type='checkbox'><label for='data-57cdec6d-2855-46aa-b271-ae415615387e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([4.2       , 0.84545455, 0.77272727, 0.56666667, 0.775     ,\n",
+       "       0.45294118, 0.5       , 0.825     , 0.64545455, 0.77272727,\n",
+       "       0.78333333, 0.56      , 0.54444444, 0.53478261, 0.41666667,\n",
+       "       0.58181818, 3.03076923, 6.05833333, 2.95217391, 0.92857143,\n",
+       "       1.91666667, 2.35      , 0.50909091, 2.67272727, 1.93333333,\n",
+       "       2.9       , 5.09047619, 2.1       , 2.35      , 3.45454545,\n",
+       "       0.6       , 4.7       , 4.57826087, 2.14761905,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3SH_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.444e+05 -8.889e+05 ... nan</div><input id='attrs-81a8160a-063a-48a8-b3a1-fe6a0a9cf8e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81a8160a-063a-48a8-b3a1-fe6a0a9cf8e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db30401a-2ad9-4114-9126-83f03942b4c7' class='xr-var-data-in' type='checkbox'><label for='data-db30401a-2ad9-4114-9126-83f03942b4c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-4.44442050e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -2.42422636e+05,\n",
+       "       -1.36749938e+05,  4.20000000e+00,  3.29565217e+00, -5.07935143e+05,\n",
+       "       -4.44443033e+05, -2.96294467e+05, -6.46463455e+05, -3.23229945e+05,\n",
+       "       -1.48145717e+05, -4.63766200e+05, -5.07934790e+05, -4.44442800e+05,\n",
+       "       -1.48145033e+05,  3.21818182e+00, -4.84847091e+05, -5.92591083e+05,\n",
+       "       -4.63766722e+05, -6.77247629e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DMS_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-05171825-d14f-42e1-89bc-220d292d29ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05171825-d14f-42e1-89bc-220d292d29ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d258e9b7-8df5-4408-baa8-eb3c901c36a8' class='xr-var-data-in' type='checkbox'><label for='data-d258e9b7-8df5-4408-baa8-eb3c901c36a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -683759.33076923, -592590.76666667,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -242421.52727273,\n",
+       "       -592591.45      , -734298.55652174, -888888.        ,\n",
+       "       -888888.        , -444441.41666667,  -80805.29090909,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Propane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-94a0563e-9e09-4a2f-bbdd-c74677d1d97d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94a0563e-9e09-4a2f-bbdd-c74677d1d97d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5a9afe5-8761-4be4-82df-74385390b953' class='xr-var-data-in' type='checkbox'><label for='data-e5a9afe5-8761-4be4-82df-74385390b953' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iButane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>211.1 53.07 24.16 ... 114.4 nan</div><input id='attrs-13dc2359-7447-4751-89af-69c25d992140' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13dc2359-7447-4751-89af-69c25d992140' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a2d790c-1953-4e6b-b28f-a0954f7a877b' class='xr-var-data-in' type='checkbox'><label for='data-9a2d790c-1953-4e6b-b28f-a0954f7a877b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.11100000e+02,  5.30727273e+01,  2.41636364e+01,  1.10166667e+01,\n",
+       "        2.53000000e+01,  1.48294118e+01,  2.15666667e+01,  2.78500000e+01,\n",
+       "        7.70909091e+00,  1.44363636e+01,  1.87166667e+01,  1.23200000e+01,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  5.36454545e+01,\n",
+       "        1.31569231e+02,  1.30250000e+02,  1.05839130e+02,  3.69571429e+01,\n",
+       "        7.70833333e+01,  1.10550000e+02, -4.84840691e+05,  1.12363636e+01,\n",
+       "       -2.96290600e+05, -1.54441304e+05,  2.89771429e+02, -2.96160050e+05,\n",
+       "       -1.48139933e+05,  1.17363636e+01,  4.80909091e+00,  2.61833333e+02,\n",
+       "        2.94013043e+02,  1.14423810e+02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nButane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>732.1 147.3 62.03 ... 205.8 nan</div><input id='attrs-c36e908c-f946-4da1-9b14-7d6737c7d7aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c36e908c-f946-4da1-9b14-7d6737c7d7aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f58d2589-595c-4d33-b550-2aa43534f03d' class='xr-var-data-in' type='checkbox'><label for='data-f58d2589-595c-4d33-b550-2aa43534f03d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 7.32050000e+02,  1.47300000e+02,  6.20272727e+01,  2.90333333e+01,\n",
+       "        7.25750000e+01,  4.03352941e+01,  6.75400000e+01,  7.84000000e+01,\n",
+       "        2.24818182e+01,  3.81181818e+01,  4.96666667e+01,  3.42000000e+01,\n",
+       "       -9.87622222e+04, -8.88888000e+05, -8.88888000e+05,  1.22990909e+02,\n",
+       "        1.34307692e+02,  2.14333333e+02,  1.67865217e+02,  7.47809524e+01,\n",
+       "        1.41733333e+02,  2.02050000e+02, -4.84836291e+05,  1.70545455e+01,\n",
+       "        1.00500000e+01,  2.90556522e+02,  5.85790476e+02, -1.47893900e+05,\n",
+       "        1.32333333e+01,  1.80000000e+01,  8.21818182e+00,  5.40833333e+02,\n",
+       "        6.07230435e+02,  2.05795238e+02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iPentane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>258.4 36.05 12.16 ... 259.9 nan</div><input id='attrs-81fe8d41-aad6-468a-bf61-b36f933c94fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81fe8d41-aad6-468a-bf61-b36f933c94fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37a62a2b-6cb1-4003-9960-b4acc5fba3b9' class='xr-var-data-in' type='checkbox'><label for='data-37a62a2b-6cb1-4003-9960-b4acc5fba3b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.58350000e+02,  3.60545455e+01,  1.21636364e+01,  5.41666667e+00,\n",
+       "        1.29250000e+01,  6.72352941e+00,  9.47333333e+00,  1.33500000e+01,\n",
+       "        7.20000000e+00,  1.59454545e+01,  2.07666667e+01,  2.00800000e+01,\n",
+       "        5.47777778e+00, -6.18355657e+05, -7.40739250e+05,  2.19363636e+01,\n",
+       "        1.13115385e+02,  2.46266667e+02,  1.36821739e+02,  3.95714286e+01,\n",
+       "        1.72400000e+02,  2.66816667e+02, -7.27257836e+05, -8.07983818e+04,\n",
+       "       -4.44437067e+05, -1.54177796e+05,  8.53300000e+02, -2.95888033e+05,\n",
+       "       -1.48139200e+05,  1.16636364e+01, -3.23226845e+05,  7.49416667e+02,\n",
+       "        9.23204348e+02,  2.59900000e+02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nPentane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>261.6 40.73 12.56 ... 108.5 nan</div><input id='attrs-aa9eb3a7-ba79-4f5e-937c-be9b80842eba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa9eb3a7-ba79-4f5e-937c-be9b80842eba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0b622ec-fd08-4d30-9fb0-a6cae4fb823b' class='xr-var-data-in' type='checkbox'><label for='data-a0b622ec-fd08-4d30-9fb0-a6cae4fb823b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.61600000e+02,  4.07272727e+01,  1.25636364e+01,  5.46666667e+00,\n",
+       "        1.48500000e+01,  7.70588235e+00,  1.24933333e+01,  1.52500000e+01,\n",
+       "       -1.61611345e+05,  8.10909091e+00,  1.18500000e+01,  5.68000000e+00,\n",
+       "       -8.88888000e+05, -4.25119357e+05, -7.40739767e+05,  2.19272727e+01,\n",
+       "        7.32461538e+01,  1.22200000e+02,  6.97826087e+01,  2.14285714e+01,\n",
+       "        7.50166667e+01,  1.05650000e+02, -7.27266527e+05, -8.08026364e+04,\n",
+       "       -2.96292300e+05, -1.54423935e+05,  3.46785714e+02,  1.60633333e+02,\n",
+       "       -1.48143433e+05,  6.20000000e+00,  3.67272727e+00,  2.98950000e+02,\n",
+       "        3.58269565e+02,  1.08485714e+02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2MePentane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>71.9 8.282 2.718 ... -4.228e+04 nan</div><input id='attrs-1674b622-7103-485b-b652-fb16d48a1e05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1674b622-7103-485b-b652-fb16d48a1e05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf004c18-bc80-46d1-8ec2-7fd6806bc113' class='xr-var-data-in' type='checkbox'><label for='data-cf004c18-bc80-46d1-8ec2-7fd6806bc113' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 7.19000000e+01,  8.28181818e+00,  2.71818182e+00, -5.92591533e+05,\n",
+       "       -4.44442025e+05, -8.88888000e+05, -4.14813253e+05,  2.97500000e+00,\n",
+       "       -4.84847382e+05, -4.84846909e+05, -4.44442350e+05, -7.11109860e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  3.24545455e+00,\n",
+       "        2.80230769e+01,  5.02666667e+01,  2.41000000e+01,  6.33809524e+00,\n",
+       "        2.90833333e+01,  5.12666667e+01, -7.27268836e+05, -8.08064909e+04,\n",
+       "       -4.44442883e+05, -1.54509874e+05,  1.73328571e+02, -4.44360600e+05,\n",
+       "       -4.44442983e+05, -6.46463064e+05, -4.84847045e+05,  1.45483333e+02,\n",
+       "       -1.15757617e+05, -4.22760190e+04,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3MePentane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>32.8 -1.616e+05 ... 24.74 nan</div><input id='attrs-fa0bae66-6428-437d-b818-ecee469c01f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa0bae66-6428-437d-b818-ecee469c01f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4d92f04-4890-435b-9851-115d706e74cd' class='xr-var-data-in' type='checkbox'><label for='data-f4d92f04-4890-435b-9851-115d706e74cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.28000000e+01, -1.61612273e+05, -1.61614491e+05, -8.88888000e+05,\n",
+       "       -4.44442825e+05, -8.88888000e+05, -6.51850960e+05, -4.44443350e+05,\n",
+       "       -8.88888000e+05, -4.04039200e+05, -4.44443150e+05, -7.11110020e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -7.40739817e+05,  1.90000000e+00,\n",
+       "        1.36615385e+01,  2.41916667e+01,  1.17217391e+01, -1.69309533e+05,\n",
+       "       -1.48133933e+05,  2.40833333e+01, -7.27270673e+05, -4.04039436e+05,\n",
+       "       -4.44443400e+05, -1.54550704e+05,  8.19142857e+01, -4.44404533e+05,\n",
+       "       -5.92591567e+05,  9.18181818e-01, -8.08079845e+05,  6.89000000e+01,\n",
+       "        8.70260870e+01,  2.47428571e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nHexane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>82.05 9.736 4.064 ... 27.59 nan</div><input id='attrs-026bd6e9-a768-451a-9be4-2c8183275527' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-026bd6e9-a768-451a-9be4-2c8183275527' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53217e1e-d5ee-437b-9d91-1e148b7402ea' class='xr-var-data-in' type='checkbox'><label for='data-53217e1e-d5ee-437b-9d91-1e148b7402ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 8.20500000e+01,  9.73636364e+00,  4.06363636e+00, -2.96294617e+05,\n",
+       "       -2.22218175e+05, -6.27449300e+05,  3.34000000e+00, -2.22218850e+05,\n",
+       "       -3.23230345e+05,  3.18181818e+00,  4.38333333e+00, -1.77775520e+05,\n",
+       "        1.70000000e+00, -1.54587813e+05, -5.92591233e+05,  3.68181818e+00,\n",
+       "        2.19461538e+01,  3.29750000e+01,  1.67304348e+01,  3.69047619e+00,\n",
+       "        1.73166667e+01,  2.82333333e+01, -5.65654291e+05, -2.42422727e+05,\n",
+       "       -2.96295267e+05, -1.54544600e+05,  9.52476190e+01, -4.44396517e+05,\n",
+       "       -2.96295117e+05, -1.61614800e+05, -4.84847109e+05,  7.90833333e+01,\n",
+       "        1.06443478e+02,  2.75904762e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x224TrimePentane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>26.4 -6.465e+05 ... 27.24 nan</div><input id='attrs-88da63cc-444d-4c8d-ab7a-0a5baa74f22b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88da63cc-444d-4c8d-ab7a-0a5baa74f22b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3b79574-a8ed-4cea-8fab-d83d3be89c62' class='xr-var-data-in' type='checkbox'><label for='data-d3b79574-a8ed-4cea-8fab-d83d3be89c62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.64000000e+01, -6.46463609e+05, -8.08079918e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -4.44443250e+05, -7.11110280e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -6.46463782e+05,\n",
+       "        8.37692308e+00,  1.53250000e+01,  8.26956522e+00,  3.21904762e+00,\n",
+       "       -1.48132517e+05,  2.51000000e+01, -7.27270236e+05, -2.42423455e+05,\n",
+       "       -7.40739717e+05, -1.54555383e+05,  7.71714286e+01, -4.44409217e+05,\n",
+       "       -5.92591617e+05, -3.23231382e+05, -6.46463764e+05,  6.44333333e+01,\n",
+       "        7.65565217e+01,  2.72380952e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nHeptane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.75 -7.273e+05 ... -2.116e+05 nan</div><input id='attrs-d0c6c89c-458a-4dff-90a7-19c40f69b1a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0c6c89c-458a-4dff-90a7-19c40f69b1a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8446d25a-c67f-4647-b7c2-79cf85b8c7a5' class='xr-var-data-in' type='checkbox'><label for='data-8446d25a-c67f-4647-b7c2-79cf85b8c7a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.47500000e+01, -7.27270709e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -5.92590700e+05, -8.88888000e+05,\n",
+       "       -9.87601778e+04, -4.25117809e+05, -7.40739133e+05, -7.27271018e+05,\n",
+       "       -1.36734362e+05,  1.76583333e+01,  1.24913043e+01, -3.38619452e+05,\n",
+       "       -5.92585800e+05, -2.96284133e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.09160861e+05,  4.03142857e+01, -5.92570800e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  3.67500000e+01,\n",
+       "       -1.15897130e+05, -2.11628286e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nOctane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.444e+05 -8.889e+05 ... nan</div><input id='attrs-6d0c08e0-2175-4cd2-acba-a31905cd698b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d0c08e0-2175-4cd2-acba-a31905cd698b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f648079a-9c58-490f-ad39-035cd07f3677' class='xr-var-data-in' type='checkbox'><label for='data-f648079a-9c58-490f-ad39-035cd07f3677' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-4.44432800e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -7.27271309e+05, -4.44442067e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -1.36747785e+05,  5.51666667e+00, -1.54586513e+05, -6.77247567e+05,\n",
+       "       -4.44441950e+05, -1.48144150e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.09173139e+05,  1.33047619e+01, -5.92586450e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  1.01333333e+01,\n",
+       "       -1.15928435e+05, -2.11636229e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Propene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0b1edd57-9e85-4a27-b6c5-4a2a5b00dbdb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b1edd57-9e85-4a27-b6c5-4a2a5b00dbdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47e519fc-f985-4333-804f-bdf377b527b9' class='xr-var-data-in' type='checkbox'><label for='data-47e519fc-f985-4333-804f-bdf377b527b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iButene1Butene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.444e+05 -8.889e+05 ... nan</div><input id='attrs-b1aae1a3-8032-4e33-877c-343d5859daf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1aae1a3-8032-4e33-877c-343d5859daf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c125ed68-dc13-4933-bff3-5238957ea9b9' class='xr-var-data-in' type='checkbox'><label for='data-c125ed68-dc13-4933-bff3-5238957ea9b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-4.44418000e+05, -8.88888000e+05, -5.65654764e+05, -4.44441583e+05,\n",
+       "        3.00000000e+00, -6.27449165e+05, -4.74072013e+05, -4.44441600e+05,\n",
+       "       -4.84846355e+05, -1.61612736e+05, -2.96293117e+05, -5.33331280e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  6.40000000e+00,\n",
+       "        7.13846154e+00, -5.18515808e+05,  7.09565217e+00, -1.69308633e+05,\n",
+       "        7.85000000e+00, -1.48140250e+05, -7.27271527e+05, -5.65655145e+05,\n",
+       "       -8.88888000e+05, -3.09166448e+05,  1.49476190e+01, -5.92583733e+05,\n",
+       "       -7.40739600e+05, -8.08079764e+05, -8.08079764e+05,  1.83500000e+01,\n",
+       "       -1.15927704e+05, -4.23220762e+04,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Isoprene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.444e+05 -8.889e+05 ... nan</div><input id='attrs-d8ba37d9-6454-4a76-a944-a4746cec9018' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8ba37d9-6454-4a76-a944-a4746cec9018' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2776d8a8-0eb2-47b0-a2ec-a744f44f18fd' class='xr-var-data-in' type='checkbox'><label for='data-2776d8a8-0eb2-47b0-a2ec-a744f44f18fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-4.44414750e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -3.23224164e+05,  1.35636364e+01,  1.47166667e+01,  1.21000000e+01,\n",
+       "        1.08000000e+01,  1.17739130e+01, -1.48140900e+05, -8.88888000e+05,\n",
+       "       -1.36724069e+05,  5.78333333e+00, -2.70493617e+05, -5.07918886e+05,\n",
+       "       -4.44387717e+05, -2.96268567e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -1.54497243e+05,  1.78142857e+02, -4.44362117e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  1.38116667e+02,\n",
+       "       -1.15749357e+05, -2.11604648e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tricyclene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.33 -3.232e+05 ... -8.889e+05 nan</div><input id='attrs-03ee2aa7-5368-4e86-92aa-cdf88f82fc1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03ee2aa7-5368-4e86-92aa-cdf88f82fc1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81969163-3ba5-4a64-a8f7-07336a757fa3' class='xr-var-data-in' type='checkbox'><label for='data-81969163-3ba5-4a64-a8f7-07336a757fa3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.33000000e+00, -3.23230886e+05, -3.23231003e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -7.72945934e+05, -6.77247668e+05, -4.44443492e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -5.92591642e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aPinene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.444e+05 -8.889e+05 ... nan</div><input id='attrs-20e2d8ac-c837-402d-9405-c4fd34b0e3ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20e2d8ac-c837-402d-9405-c4fd34b0e3ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73684074-2c49-4901-88b1-6b959bd1b9d3' class='xr-var-data-in' type='checkbox'><label for='data-73684074-2c49-4901-88b1-6b959bd1b9d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-444441.85      , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -772945.8626087 , -677247.72190476, -740739.3       ,\n",
+       "       -592591.45666667, -888888.        , -888888.        ,\n",
+       "       -888888.        , -463765.94304348, -169309.29285714,\n",
+       "       -444442.40666667, -888888.        , -888888.        ,\n",
+       "       -888888.        , -444442.54      , -579708.7826087 ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Camphene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-1db18162-3f22-4855-a2ed-9c609d351880' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1db18162-3f22-4855-a2ed-9c609d351880' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d63097f-1f28-459e-97b5-28784555e944' class='xr-var-data-in' type='checkbox'><label for='data-9d63097f-1f28-459e-97b5-28784555e944' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bPineneMyrcene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-409abf51-8e95-41ed-8823-d8370cc643fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-409abf51-8e95-41ed-8823-d8370cc643fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a020f9ba-a4c0-4ed8-ab0f-ec78fe1b1a13' class='xr-var-data-in' type='checkbox'><label for='data-a020f9ba-a4c0-4ed8-ab0f-ec78fe1b1a13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LimoneneD3Carene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-e10740c4-ae1c-4c7b-850c-998035c1aabb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e10740c4-ae1c-4c7b-850c-998035c1aabb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-943eddfa-5dd8-470f-9fa5-b4a844cb632a' class='xr-var-data-in' type='checkbox'><label for='data-943eddfa-5dd8-470f-9fa5-b4a844cb632a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Benzene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.87 14.08 11.03 ... 62.41 nan</div><input id='attrs-92d25ee6-c09a-4e19-a37b-ae0de4a08705' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92d25ee6-c09a-4e19-a37b-ae0de4a08705' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d45a1702-22dd-4ab9-a3b5-2d7be457bbee' class='xr-var-data-in' type='checkbox'><label for='data-d45a1702-22dd-4ab9-a3b5-2d7be457bbee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 47.87      ,  14.07818182,  11.03272727,   8.59      ,\n",
+       "         9.6725    ,   8.12588235,   8.56933333,  11.4675    ,\n",
+       "         7.42272727,  11.24272727,  13.47666667,   9.016     ,\n",
+       "         4.73222222,   4.49956522,   4.43      ,  14.36454545,\n",
+       "        30.99692308,  44.66083333,  28.98304348,  19.28619048,\n",
+       "        55.66333333,  83.01833333,   6.22454545,  12.50090909,\n",
+       "         9.30333333,  60.62652174, 159.25095238,  51.76      ,\n",
+       "        11.18      ,  15.29272727,  11.44727273, 124.57166667,\n",
+       "       121.47695652,  62.4147619 ,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Toluene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>49.5 4.931 3.655 ... 61.85 nan</div><input id='attrs-21689a13-0162-4302-bc7c-96a42d08b5f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21689a13-0162-4302-bc7c-96a42d08b5f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-690f2202-f4fd-4114-9a3d-c515745d9b48' class='xr-var-data-in' type='checkbox'><label for='data-690f2202-f4fd-4114-9a3d-c515745d9b48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 4.95000000e+01,  4.93090909e+00,  3.65454545e+00,  2.94500000e+00,\n",
+       "        3.38250000e+00,  2.06764706e+00,  2.55266667e+00,  2.82250000e+00,\n",
+       "        3.27000000e+00,  4.55181818e+00,  4.54833333e+00,  3.35000000e+00,\n",
+       "        2.16000000e+00,  2.51826087e+00,  1.48333333e+00,  1.47636364e+00,\n",
+       "        2.49223077e+01,  4.13066667e+01,  2.12130435e+01,  6.04190476e+00,\n",
+       "        3.94650000e+01,  6.89500000e+01, -5.65652495e+05, -2.42422227e+05,\n",
+       "       -1.48146635e+05, -1.54513727e+05,  1.99367143e+02, -1.48061335e+05,\n",
+       "       -1.48146148e+05,  2.49818182e+00,  3.10909091e+00,  1.56705000e+02,\n",
+       "        1.92296522e+02,  6.18542857e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EthBenzene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.24 -4.04e+05 ... -4.232e+04 nan</div><input id='attrs-544b5e96-1cd4-4a4e-a6f4-1f688abfa456' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-544b5e96-1cd4-4a4e-a6f4-1f688abfa456' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb8fc3b2-6b7d-4c5b-b4aa-2051829e81d4' class='xr-var-data-in' type='checkbox'><label for='data-cb8fc3b2-6b7d-4c5b-b4aa-2051829e81d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.24000000e+00, -4.04039396e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -2.42422911e+05, -5.92591548e+05, -7.11110186e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -1.36749611e+05,  4.23833333e+00, -2.70528870e+05, -5.50263436e+05,\n",
+       "       -1.48142883e+05,  8.00833333e+00, -7.27271638e+05, -8.88888000e+05,\n",
+       "       -7.40739885e+05, -3.09167807e+05,  2.67885714e+01, -4.44432930e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  2.01400000e+01,\n",
+       "       -1.15918457e+05, -4.23198076e+04,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mpXylene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.62 -8.081e+04 ... -2.116e+05 nan</div><input id='attrs-5a4fb194-c239-422c-b2bf-1089f1203dad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a4fb194-c239-422c-b2bf-1089f1203dad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78cf667b-2ad0-43b8-9f63-9e860511a73d' class='xr-var-data-in' type='checkbox'><label for='data-78cf667b-2ad0-43b8-9f63-9e860511a73d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.06200000e+01, -8.08059291e+04, -7.27271676e+05, -7.40739728e+05,\n",
+       "       -6.66665373e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -6.46463300e+05,  1.73818182e+00, -4.44443122e+05, -5.33332104e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -1.36749637e+05,  3.82000000e+00, -1.15939429e+05, -7.19575770e+05,\n",
+       "       -4.44439705e+05,  6.93000000e+00, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -7.40739883e+05, -3.09167910e+05,  2.85071429e+01, -4.44431502e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -7.27271855e+05,  2.03916667e+01,\n",
+       "       -1.15917600e+05, -2.11635297e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oXylene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.935 -5.657e+05 ... -2.116e+05 nan</div><input id='attrs-d00eb1dc-17f6-402c-ab96-338d936b7077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d00eb1dc-17f6-402c-ab96-338d936b7077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d5b7e05-9a0b-4438-bb00-4378a4ae7b56' class='xr-var-data-in' type='checkbox'><label for='data-7d5b7e05-9a0b-4438-bb00-4378a4ae7b56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 4.93500000e+00, -5.65655420e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -5.18517237e+05, -5.41061635e+05, -8.88888000e+05,\n",
+       "       -4.44442090e+05, -1.48144603e+05, -7.27271809e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.09173861e+05,  1.28119048e+01, -5.92586633e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  8.14500000e+00,\n",
+       "       -1.15933042e+05, -2.11637331e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Styrene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.49 -8.889e+05 ... -3.81e+05 nan</div><input id='attrs-b3c9016a-a6b7-4ff5-af29-e4899019e4be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3c9016a-a6b7-4ff5-af29-e4899019e4be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5329ae06-d619-47e8-bad9-878fe4c7f761' class='xr-var-data-in' type='checkbox'><label for='data-5329ae06-d619-47e8-bad9-878fe4c7f761' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.49000000e+00, -8.88888000e+05, -7.27271893e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -7.40739833e+05, -7.40739848e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -4.63766629e+05,  2.15333333e+00, -5.92591400e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  1.63500000e+00,\n",
+       "       -1.15940129e+05, -3.80951524e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EthynylBenzene_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-888d3271-c396-42fd-b25f-0812f4bbea07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-888d3271-c396-42fd-b25f-0812f4bbea07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54cdf421-5574-455e-be83-225114ce69d8' class='xr-var-data-in' type='checkbox'><label for='data-54cdf421-5574-455e-be83-225114ce69d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -740739.82333333, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2O_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.296e+03 1.531e+03 ... nan</div><input id='attrs-894f482f-8e21-457e-84c1-754f38ff9b02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-894f482f-8e21-457e-84c1-754f38ff9b02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4cb8615-e547-47f0-8b25-972a2f594058' class='xr-var-data-in' type='checkbox'><label for='data-b4cb8615-e547-47f0-8b25-972a2f594058' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.29550000e+03,  1.53063636e+03,  6.86454545e+02,  2.40166667e+02,\n",
+       "        2.70500000e+02,  6.25882353e+01,  1.11200000e+02,  2.11250000e+02,\n",
+       "        1.07181818e+02,  3.03909091e+02,  3.63333333e+02,  1.86000000e+02,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  1.19690909e+03,\n",
+       "        4.67346154e+03,  7.42675000e+03,  4.28330435e+03,  2.07795238e+03,\n",
+       "        3.05866667e+03,  3.90766667e+03,  1.65481818e+03,  1.36809091e+03,\n",
+       "        1.29700000e+03,  4.03978261e+03,  7.28614286e+03,  3.81900000e+03,\n",
+       "        1.34566667e+03,  1.22745455e+03,  1.44581818e+03,  6.56616667e+03,\n",
+       "        6.59721739e+03,  4.28971429e+03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3CHO_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.074e+03 221.8 115.1 ... 885.6 nan</div><input id='attrs-e5c02a3b-2e64-4973-b642-8431372f9e50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5c02a3b-2e64-4973-b642-8431372f9e50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6bbe58a-557e-49e3-9d89-5ad2cdfee277' class='xr-var-data-in' type='checkbox'><label for='data-b6bbe58a-557e-49e3-9d89-5ad2cdfee277' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.07430000e+03,  2.21800000e+02,  1.15054545e+02,  7.15833333e+01,\n",
+       "        8.36750000e+01,  5.65470588e+01,  4.87933333e+01,  7.74000000e+01,\n",
+       "        3.84363636e+01,  5.81636364e+01,  5.64000000e+01,  3.46400000e+01,\n",
+       "        1.14111111e+01, -7.72945317e+05, -8.88888000e+05,  2.00136364e+02,\n",
+       "        1.93621538e+03,  3.02991667e+03,  1.43210870e+03,  2.91171429e+02,\n",
+       "        6.46483333e+02,  8.89733333e+02,  9.13181818e+01,  1.44809091e+02,\n",
+       "        9.28666667e+01,  9.34956522e+02,  2.10672381e+03,  8.26533333e+02,\n",
+       "        1.13416667e+02,  1.51309091e+02,  7.89090909e+01,  1.76096667e+03,\n",
+       "        1.79330870e+03,  8.85557143e+02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Propanal_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>137.0 16.11 ... -2.116e+05 nan</div><input id='attrs-47319665-4cd1-4b3b-a0bd-cad5037716a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47319665-4cd1-4b3b-a0bd-cad5037716a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98be59a9-00e1-4e07-92fd-25a62fed3d13' class='xr-var-data-in' type='checkbox'><label for='data-98be59a9-00e1-4e07-92fd-25a62fed3d13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.36950000e+02,  1.61090909e+01, -1.61609545e+05, -7.40739483e+05,\n",
+       "       -4.44441950e+05, -6.27448876e+05, -7.11108180e+05,  7.85000000e+00,\n",
+       "       -1.61611009e+05, -4.84844264e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -7.34297687e+05, -8.88888000e+05, -4.04033855e+05,\n",
+       "       -1.36640892e+05,  1.96191667e+02,  6.35217391e+01,  8.80952381e+00,\n",
+       "       -1.48114167e+05, -1.48097267e+05, -7.27271745e+05, -5.65654055e+05,\n",
+       "       -7.40739583e+05, -3.09117248e+05,  1.81138095e+02, -5.92532133e+05,\n",
+       "       -5.92590367e+05, -5.65655509e+05, -8.88888000e+05,  1.31233333e+02,\n",
+       "       -1.15800400e+05, -2.11602019e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Butanal_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>53.55 -5.657e+05 ... -5.503e+05 nan</div><input id='attrs-a6cb82f8-933c-4d26-9d5d-e19ed0675fdf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6cb82f8-933c-4d26-9d5d-e19ed0675fdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64ed00c1-bca9-4416-ba8b-9b8871a36269' class='xr-var-data-in' type='checkbox'><label for='data-64ed00c1-bca9-4416-ba8b-9b8871a36269' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.35500000e+01, -5.65653655e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -4.10250031e+05, -7.40620333e+04, -5.41061174e+05, -8.88888000e+05,\n",
+       "       -7.40738267e+05, -4.44440183e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -4.63759596e+05,  2.09666667e+01, -5.92582950e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -1.48133717e+05,\n",
+       "       -1.15920922e+05, -5.50262438e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iButanal_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.85 3.891 3.145 ... 9.09 nan</div><input id='attrs-1b698532-d4cd-45e4-8da4-d6f4452610a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b698532-d4cd-45e4-8da4-d6f4452610a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54000d2f-eac5-49dd-b9a0-e958972104b9' class='xr-var-data-in' type='checkbox'><label for='data-54000d2f-eac5-49dd-b9a0-e958972104b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.18500000e+01,  3.89090909e+00,  3.14545455e+00, -4.44442517e+05,\n",
+       "       -6.66665600e+05, -2.09148635e+05, -7.11109760e+05, -6.66665750e+05,\n",
+       "       -7.27271673e+05, -5.65655309e+05, -7.40739850e+05, -7.11110220e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -2.42422436e+05,\n",
+       "       -1.36734169e+05,  1.82916667e+01,  8.39130435e+00, -5.07935105e+05,\n",
+       "       -2.96289617e+05, -1.48138417e+05, -7.27271564e+05, -8.08067455e+04,\n",
+       "       -7.40739850e+05, -3.09167043e+05,  2.89142857e+01, -2.96285867e+05,\n",
+       "       -5.92590933e+05, -4.04038509e+05, -8.88888000e+05,  2.20166667e+01,\n",
+       "        2.53521739e+01,  9.09047619e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Acrolein_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>64.7 16.08 14.01 ... 29.32 nan</div><input id='attrs-c3493f9a-76a8-483d-9e42-ffbaba7a0127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3493f9a-76a8-483d-9e42-ffbaba7a0127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e081032-38a2-4d3d-97ec-3d60c54defd6' class='xr-var-data-in' type='checkbox'><label for='data-3e081032-38a2-4d3d-97ec-3d60c54defd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 6.47000000e+01,  1.60818182e+01,  1.40090909e+01,  1.46166667e+01,\n",
+       "        1.39750000e+01,  1.32764706e+01,  1.18600000e+01, -2.22213200e+05,\n",
+       "        1.00363636e+01, -1.61605000e+05,  9.50000000e+00,  9.92000000e+00,\n",
+       "        9.12222222e+00,  9.09130435e+00, -1.48140583e+05,  1.27727273e+01,\n",
+       "        4.64692308e+01,  6.49333333e+01,  2.76913043e+01,  1.78142857e+01,\n",
+       "        2.48833333e+01,  3.41333333e+01,  8.59090909e+00,  1.15727273e+01,\n",
+       "        9.51666667e+00,  3.28913043e+01,  7.16333333e+01,  3.22166667e+01,\n",
+       "        1.18000000e+01,  9.70000000e+00,  1.34818182e+01,  5.96333333e+01,\n",
+       "        5.96826087e+01,  2.93190476e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2Butenals_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.25 -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-bbeb34ee-4081-4c08-a25e-ea70dc204c7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbeb34ee-4081-4c08-a25e-ea70dc204c7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-289acf79-a7c6-4b49-846e-2e776b4a2c92' class='xr-var-data-in' type='checkbox'><label for='data-289acf79-a7c6-4b49-846e-2e776b4a2c92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.72500000e+01, -8.88888000e+05, -7.27270109e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -7.27271164e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.08079427e+05,\n",
+       "       -4.78627123e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -7.40738967e+05, -4.44440617e+05, -8.88888000e+05, -7.27271273e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -7.27271509e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Acetone_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.654e+03 2.275e+03 ... nan</div><input id='attrs-7fc298be-d7e7-41e3-9202-bdf918a67c35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fc298be-d7e7-41e3-9202-bdf918a67c35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3011eb5-67c5-4e9b-9482-c4dcd5754671' class='xr-var-data-in' type='checkbox'><label for='data-b3011eb5-67c5-4e9b-9482-c4dcd5754671' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([3654.5       , 2274.81818182, 2094.83636364, 1712.18333333,\n",
+       "       1836.2       , 1099.48235294, 1226.4       , 1340.25      ,\n",
+       "       1127.21818182, 1674.72727273, 1918.46666667, 1562.9       ,\n",
+       "        721.76666667,  446.78695652,  455.71666667, 2240.94545455,\n",
+       "       3923.93076923, 4736.69166667, 3683.3173913 , 2771.19047619,\n",
+       "       3778.53333333, 4205.08333333, 1064.79090909, 1075.11818182,\n",
+       "        899.7       , 3912.97391304, 7714.72380952, 3426.2       ,\n",
+       "        833.93333333,  812.4       , 1090.03636364, 6591.45      ,\n",
+       "       6952.14347826, 4638.16666667,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MEK_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>328.2 140.1 103.7 ... 275.3 nan</div><input id='attrs-c2199e43-59db-4f01-b90a-64e49c868c78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2199e43-59db-4f01-b90a-64e49c868c78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b2b5ba4-d682-49e8-995a-c52624ef01f4' class='xr-var-data-in' type='checkbox'><label for='data-6b2b5ba4-d682-49e8-995a-c52624ef01f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([328.25      , 140.13636364, 103.68181818,  70.28333333,\n",
+       "        87.275     ,  49.30588235,  71.8       ,  83.775     ,\n",
+       "        37.34545455,  68.78181818,  89.45      ,  63.82      ,\n",
+       "         8.16666667,   5.65652174,   5.7       , 188.38181818,\n",
+       "       297.86923077, 293.7       , 251.02608696, 176.15714286,\n",
+       "       229.26666667, 263.5       ,  26.03636364,  45.90909091,\n",
+       "        28.38333333, 217.94782609, 499.56190476, 206.08333333,\n",
+       "        34.26666667,  43.6       ,  26.43636364, 428.13333333,\n",
+       "       477.07826087, 275.25714286,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3OH_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.061e+04 6.45e+03 ... nan</div><input id='attrs-b3d82895-0875-4f87-a04a-350be6b665fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3d82895-0875-4f87-a04a-350be6b665fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44817656-b343-4933-9f2a-b765b36c345e' class='xr-var-data-in' type='checkbox'><label for='data-44817656-b343-4933-9f2a-b765b36c345e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([10608.        ,  6450.18181818,  4958.        ,  3347.5       ,\n",
+       "        3892.        ,  1542.76470588,  1881.13333333,  2381.        ,\n",
+       "        1981.27272727,  3360.90909091,  4002.        ,  3279.8       ,\n",
+       "        1399.11111111,  1078.43478261,   947.33333333,  4621.54545455,\n",
+       "       15841.76923077, 25242.08333333, 15184.13043478,  6666.23809524,\n",
+       "        7905.5       ,  7677.83333333,  2299.63636364,  2192.90909091,\n",
+       "        1804.16666667,  5403.30434783, 10679.04761905,  4027.16666667,\n",
+       "        1681.66666667,  1316.54545455,  2453.81818182,  8587.33333333,\n",
+       "        7303.2173913 ,  7238.        ,            nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C2H5OH_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>479.0 208.9 171.7 ... 1.546e+03 nan</div><input id='attrs-50e384c3-a809-48ee-8727-2d0e1e19c632' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50e384c3-a809-48ee-8727-2d0e1e19c632' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dffaa47-5e22-4b97-adf3-d3c3127911ec' class='xr-var-data-in' type='checkbox'><label for='data-7dffaa47-5e22-4b97-adf3-d3c3127911ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 479.        ,  208.89090909,  171.65454545,  170.08333333,\n",
+       "        285.05      ,   52.14117647,  113.46666667,  126.075     ,\n",
+       "       1028.25454545, 1460.58181818, 1244.88333333, 2520.24      ,\n",
+       "       1162.6       , 1058.47826087, 1375.        ,  235.07272727,\n",
+       "       5806.97692308, 8064.725     , 3275.37391304,  364.5047619 ,\n",
+       "       1054.81666667, 1236.01666667,  129.00909091,   84.26363636,\n",
+       "         36.18333333, 1409.65217391, 3930.32380952, 1466.28333333,\n",
+       "         63.25      ,   64.02727273,   30.51818182, 3022.95      ,\n",
+       "       2957.9173913 , 1545.5952381 ,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iPropanol_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>55.7 15.05 16.22 ... 68.63 nan</div><input id='attrs-21589a8b-6b44-4ab1-9b68-211ebc6e09ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21589a8b-6b44-4ab1-9b68-211ebc6e09ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e45b7bd-7764-4564-bb29-b30d8e93ac89' class='xr-var-data-in' type='checkbox'><label for='data-4e45b7bd-7764-4564-bb29-b30d8e93ac89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.57000000e+01,  1.50545455e+01,  1.62181818e+01,  1.42666667e+01,\n",
+       "        1.72750000e+01,  8.29411765e+00,  9.61333333e+00,  1.18250000e+01,\n",
+       "        2.41545455e+01,  4.92454545e+01,  4.09833333e+01,  3.76800000e+01,\n",
+       "        2.42777778e+01,  1.81347826e+01, -1.48131967e+05,  1.17727273e+01,\n",
+       "        5.56615385e+01,  6.16583333e+01,  3.48217391e+01,  1.53047619e+01,\n",
+       "       -1.48111850e+05,  5.08666667e+01, -6.46457982e+05, -1.61610855e+05,\n",
+       "       -2.96292150e+05, -3.09103239e+05,  1.76842857e+02, -2.96226083e+05,\n",
+       "       -2.96291517e+05, -1.61611200e+05, -3.23228309e+05,  1.32866667e+02,\n",
+       "        1.42086957e+02,  6.86285714e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MBO_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-f2363863-efae-4fe5-bee6-46a82ad52bf8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2363863-efae-4fe5-bee6-46a82ad52bf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b8e2f22-51ab-4457-903a-d3c764296c3f' class='xr-var-data-in' type='checkbox'><label for='data-7b8e2f22-51ab-4457-903a-d3c764296c3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -772945.63956522, -846559.83666667, -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MAC_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.2 -4.848e+05 ... 71.28 nan</div><input id='attrs-c633ce3d-c3bd-4d47-9864-00948f462a28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c633ce3d-c3bd-4d47-9864-00948f462a28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee26508d-cfe3-42c7-a4ce-bd4795893e3d' class='xr-var-data-in' type='checkbox'><label for='data-ee26508d-cfe3-42c7-a4ce-bd4795893e3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.32000000e+01, -4.84845691e+05, -4.84845527e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -6.66664875e+05,\n",
+       "       -4.04037873e+05, -7.27271582e+05, -7.40739400e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -4.84845455e+05,\n",
+       "        5.79692308e+01,  3.14083333e+01,  2.96434783e+01,  1.82809524e+01,\n",
+       "       -1.48101767e+05,  5.85333333e+01, -7.27270818e+05, -8.88888000e+05,\n",
+       "       -4.44443067e+05, -1.54492461e+05,  2.11857143e+02, -2.96173000e+05,\n",
+       "       -8.88888000e+05, -4.84847164e+05, -4.84847073e+05,  1.45383333e+02,\n",
+       "        2.10308696e+02,  7.12809524e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MVK_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>100.4 13.25 ... 210.3 nan</div><input id='attrs-f8508387-f91b-42ca-9990-ffaecdcafd4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8508387-f91b-42ca-9990-ffaecdcafd4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45fc4762-ddeb-462d-a40c-e6e7724df8a7' class='xr-var-data-in' type='checkbox'><label for='data-45fc4762-ddeb-462d-a40c-e6e7724df8a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.00450000e+02,  1.32545455e+01, -1.61604509e+05, -2.96290250e+05,\n",
+       "       -2.22217750e+05, -6.79737153e+05, -4.14812373e+05, -2.22214025e+05,\n",
+       "       -4.84845373e+05, -3.23228864e+05, -8.88888000e+05, -5.33330720e+05,\n",
+       "       -4.93823778e+05, -8.88888000e+05, -7.40739183e+05, -3.23222573e+05,\n",
+       "        1.83053846e+02,  8.11666667e+01,  9.52086957e+01,  6.21761905e+01,\n",
+       "        1.18950000e+02,  1.48483333e+02, -1.61607255e+05,  5.07272727e+00,\n",
+       "        6.28333333e+00,  2.51073913e+02,  5.16023810e+02,  2.96850000e+02,\n",
+       "        6.21666667e+00,  4.79090909e+00,  6.10000000e+00,  4.10466667e+02,\n",
+       "        5.09386957e+02,  2.10328571e+02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeFormate_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>73.9 56.51 49.64 ... 90.83 nan</div><input id='attrs-c4c3e590-a752-4197-b8cc-ccb54e702ca2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4c3e590-a752-4197-b8cc-ccb54e702ca2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2ed3adb-36b1-4fcb-a45b-5ab8090d0f70' class='xr-var-data-in' type='checkbox'><label for='data-b2ed3adb-36b1-4fcb-a45b-5ab8090d0f70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 7.39000000e+01,  5.65090909e+01,  4.96363636e+01,  4.42500000e+01,\n",
+       "        4.35250000e+01,  2.90235294e+01,  3.08133333e+01,  3.50750000e+01,\n",
+       "       -1.61589591e+05,  4.38090909e+01,  4.48333333e+01,  4.15200000e+01,\n",
+       "        2.43888889e+01,  2.13608696e+01,  2.12500000e+01,  5.58636364e+01,\n",
+       "        1.12661538e+02,  1.66591667e+02,  1.09256522e+02,  6.80523810e+01,\n",
+       "        8.39666667e+01,  8.68166667e+01,  3.11272727e+01,  3.50000000e+01,\n",
+       "        3.04500000e+01,  7.49434783e+01,  1.24471429e+02,  5.74500000e+01,\n",
+       "        2.76500000e+01,  2.67818182e+01,  3.58727273e+01,  1.34900000e+02,\n",
+       "        1.04513043e+02,  9.08285714e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeAcetate_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>78.05 37.11 30.95 ... 93.19 nan</div><input id='attrs-fd54c1f1-01b0-41ce-8b18-0fcceb290cb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd54c1f1-01b0-41ce-8b18-0fcceb290cb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a22dd26b-4918-4d21-8f3a-7f93a93fd87f' class='xr-var-data-in' type='checkbox'><label for='data-a22dd26b-4918-4d21-8f3a-7f93a93fd87f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 78.05      ,  37.10909091,  30.94545455,  28.5       ,\n",
+       "        28.2       ,  19.33529412,  18.99333333,  23.15      ,\n",
+       "        18.63636364,  25.6       ,  29.36666667,  23.58      ,\n",
+       "        16.47777778,  15.16956522,  13.56666667,  31.66363636,\n",
+       "       103.48461538, 147.225     ,  81.82608696,  46.62380952,\n",
+       "        80.81666667, 107.15      ,  23.47272727,  20.85454545,\n",
+       "        18.16666667,  93.79565217, 215.17619048,  92.28333333,\n",
+       "        17.6       ,  16.70909091,  26.10909091, 180.86666667,\n",
+       "       179.50869565,  93.18571429,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Furan_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.444e+05 -8.889e+05 ... nan</div><input id='attrs-4ea590d1-af5b-4984-a6d5-0fe9de72fbed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ea590d1-af5b-4984-a6d5-0fe9de72fbed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2bd64fa-4c39-466d-b248-097d4de2a19e' class='xr-var-data-in' type='checkbox'><label for='data-e2bd64fa-4c39-466d-b248-097d4de2a19e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-4.44441350e+05, -8.88888000e+05, -8.88888000e+05, -7.40739733e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -1.36750154e+05,  1.85833333e+00, -7.34298417e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -7.40739717e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -5.50262876e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2MeFuran_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.444e+05 -8.889e+05 ... nan</div><input id='attrs-6918469a-ba46-481f-97ab-2a837b32b108' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6918469a-ba46-481f-97ab-2a837b32b108' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93b67c81-c718-462f-83e0-d54d86c20756' class='xr-var-data-in' type='checkbox'><label for='data-93b67c81-c718-462f-83e0-d54d86c20756' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-444442.7       , -888888.        , -888888.        ,\n",
+       "       -740739.68333333, -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -727271.81818182,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3MeFuran_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.2 3.191 ... -3.386e+05 nan</div><input id='attrs-8bf7e8f0-0943-47bc-b37f-efe5a2cfca29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bf7e8f0-0943-47bc-b37f-efe5a2cfca29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6ff77cd-6d67-41b7-b89c-18180a9d21a8' class='xr-var-data-in' type='checkbox'><label for='data-a6ff77cd-6d67-41b7-b89c-18180a9d21a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.02000000e+01,  3.19090909e+00, -1.61612682e+05,  4.20000000e+00,\n",
+       "        4.55000000e+00, -2.09147571e+05,  3.59333333e+00,  3.62500000e+00,\n",
+       "       -1.61613791e+05,  3.31818182e+00, -2.96293950e+05, -5.33331120e+05,\n",
+       "       -4.93825867e+05, -8.88888000e+05, -8.88888000e+05, -1.61613873e+05,\n",
+       "        2.96153846e+00,  3.03333333e+00, -1.54586735e+05,  2.58095238e+00,\n",
+       "        2.15000000e+00,  1.96666667e+00, -1.61614591e+05,  1.93636364e+00,\n",
+       "        1.58333333e+00, -1.54586578e+05,  3.75714286e+00, -1.48145067e+05,\n",
+       "       -1.48146583e+05, -1.61614618e+05,  1.92727273e+00, -4.44442217e+05,\n",
+       "       -3.09175678e+05, -3.38622771e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Furfural_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-90c84a56-6772-4963-bfd1-ce0a48cadfe3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90c84a56-6772-4963-bfd1-ce0a48cadfe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d0fba91-1d26-48bd-a596-fc0b55e7aa85' class='xr-var-data-in' type='checkbox'><label for='data-7d0fba91-1d26-48bd-a596-fc0b55e7aa85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCN_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>247.0 207.6 235.8 ... 273.9 nan</div><input id='attrs-fa658a7f-0de5-4d21-9b7e-a6fb273b293c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa658a7f-0de5-4d21-9b7e-a6fb273b293c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-737b7846-b244-4a38-9b2e-37b233799a71' class='xr-var-data-in' type='checkbox'><label for='data-737b7846-b244-4a38-9b2e-37b233799a71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([247.        , 207.63636364, 235.81818182, 249.        ,\n",
+       "       254.5       , 232.52941176, 215.13333333, 226.5       ,\n",
+       "       225.54545455, 247.90909091, 257.83333333, 235.        ,\n",
+       "       192.77777778, 138.30434783, 135.16666667, 217.72727273,\n",
+       "       260.46153846, 284.58333333, 253.2173913 , 233.0952381 ,\n",
+       "       310.16666667, 361.66666667, 184.72727273, 122.18181818,\n",
+       "       123.66666667, 241.73913043, 416.19047619, 235.16666667,\n",
+       "       114.83333333,  73.36363636, 199.18181818, 341.        ,\n",
+       "       352.39130435, 273.85714286,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3CN_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>213.2 184.6 196.1 ... 202.2 nan</div><input id='attrs-4fd02b60-80b7-4763-b718-c8739a7c8e68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fd02b60-80b7-4763-b718-c8739a7c8e68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7da9103-1bee-446a-9d8d-0dd7b2f6be30' class='xr-var-data-in' type='checkbox'><label for='data-e7da9103-1bee-446a-9d8d-0dd7b2f6be30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([213.15      , 184.56363636, 196.09090909, 193.06666667,\n",
+       "       194.7       , 198.81176471, 192.36      , 193.25      ,\n",
+       "       192.46363636, 193.9       , 194.93333333, 191.16      ,\n",
+       "       182.63333333, 162.46521739, 165.98333333, 191.4       ,\n",
+       "       206.58461538, 214.20833333, 195.31304348, 197.34285714,\n",
+       "       254.8       , 297.36666667, 165.23636364, 115.12727273,\n",
+       "       125.35      , 185.10434783, 310.79047619, 167.05      ,\n",
+       "       113.73333333,  87.45454545, 186.72727273, 258.63333333,\n",
+       "       215.2173913 , 202.22857143,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PropNitrile_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.25 6.773 5.936 ... 6.343 nan</div><input id='attrs-9f5787cc-846d-456b-8c21-3e5ca280b57b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f5787cc-846d-456b-8c21-3e5ca280b57b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57812290-191d-4c79-9d56-54ddbc17645d' class='xr-var-data-in' type='checkbox'><label for='data-57812290-191d-4c79-9d56-54ddbc17645d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 7.25      ,  6.77272727,  5.93636364,  6.95      ,  6.6       ,\n",
+       "        7.10588235,  6.05333333,  7.3       ,  6.12727273,  5.65454545,\n",
+       "        6.98333333,  5.98      ,  4.97777778,  5.16521739,  5.18333333,\n",
+       "        5.21818182,  7.80769231,  7.8       ,  6.49565217,  5.91428571,\n",
+       "        9.01666667, 11.11666667,  4.25454545,  4.10909091,  4.        ,\n",
+       "        6.0173913 , 13.67619048,  4.35      ,  3.45      ,  3.35454545,\n",
+       "        4.99090909,  8.4       ,  8.10434783,  6.34285714,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Acrylonitrile_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.25 -5.657e+05 ... -8.466e+05 nan</div><input id='attrs-4e43416c-d826-4b92-b1be-13ab55858bad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e43416c-d826-4b92-b1be-13ab55858bad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1b074b0-64d8-4d19-9d4c-0e28ca0a168d' class='xr-var-data-in' type='checkbox'><label for='data-c1b074b0-64d8-4d19-9d4c-0e28ca0a168d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.25000000e+00, -5.65655309e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -4.44442425e+05,\n",
+       "       -8.88888000e+05, -7.27271436e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -5.92590533e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -2.96291817e+05, -2.96289167e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -2.11633600e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -7.27271018e+05, -2.96291717e+05,\n",
+       "       -6.18355043e+05, -8.46559695e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeAcrylonitrile_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-0bf04e0c-3fd0-4334-ac21-dce13c5060fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bf04e0c-3fd0-4334-ac21-dce13c5060fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e29c1dd0-075e-4752-adf4-04c5539f3dd2' class='xr-var-data-in' type='checkbox'><label for='data-e29c1dd0-075e-4752-adf4-04c5539f3dd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Pyrrole_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-2ec61973-7239-4510-8503-37d4f05568b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ec61973-7239-4510-8503-37d4f05568b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9328770-06d6-453a-a91e-763bb1237e03' class='xr-var-data-in' type='checkbox'><label for='data-c9328770-06d6-453a-a91e-763bb1237e03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -888888.        ,\n",
+       "       -888888.        , -888888.        , -772945.81304348,\n",
+       "       -846559.9       ,              nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Nitromethane_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.95 -1.616e+05 ... 32.52 nan</div><input id='attrs-f881acd5-2bee-4058-b6f9-99ffe7001898' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f881acd5-2bee-4058-b6f9-99ffe7001898' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ef67fdc-c5e7-4b58-a294-f58e1af5731c' class='xr-var-data-in' type='checkbox'><label for='data-9ef67fdc-c5e7-4b58-a294-f58e1af5731c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.49500000e+01, -1.61611564e+05, -6.46462291e+05, -8.88888000e+05,\n",
+       "       -6.66664950e+05, -8.88888000e+05, -8.88888000e+05, -4.44441675e+05,\n",
+       "       -8.88888000e+05, -7.27271018e+05, -2.96290000e+05, -3.55552440e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -4.84844364e+05,\n",
+       "        7.09153846e+01,  9.40333333e+01,  4.01043478e+01,  1.17095238e+01,\n",
+       "        2.34666667e+01,  3.41166667e+01, -5.65654382e+05, -2.42418364e+05,\n",
+       "       -1.48142933e+05, -1.54561517e+05,  6.87476190e+01, -4.44428800e+05,\n",
+       "       -1.48140750e+05,  8.94545455e+00, -3.23228145e+05,  5.32000000e+01,\n",
+       "        5.06391304e+01,  3.25190476e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeONO2_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.69 4.411 4.085 ... 7.353 nan</div><input id='attrs-c2009499-9871-4a46-8e1f-baff9f339932' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2009499-9871-4a46-8e1f-baff9f339932' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e493e467-d53b-422e-844b-81265c0904a7' class='xr-var-data-in' type='checkbox'><label for='data-e493e467-d53b-422e-844b-81265c0904a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.69000000e+00,  4.41090909e+00,  4.08545455e+00,  3.52000000e+00,\n",
+       "        4.18750000e+00, -2.09147173e+05,  3.19066667e+00,  3.37500000e+00,\n",
+       "        3.38909091e+00,  4.27818182e+00,  5.51833333e+00,  4.35200000e+00,\n",
+       "        3.82666667e+00,  5.54260870e+00,  4.73833333e+00,  3.59727273e+00,\n",
+       "        6.05230769e+00,  7.60333333e+00,  7.29521739e+00,  4.79095238e+00,\n",
+       "        6.94500000e+00,  7.97666667e+00,  4.34363636e+00,  5.45636364e+00,\n",
+       "        5.26833333e+00,  7.68826087e+00,  1.85509524e+01,  9.46833333e+00,\n",
+       "        5.78833333e+00,  6.57909091e+00,  4.43181818e+00,  1.38650000e+01,\n",
+       "        1.56430435e+01,  7.35285714e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EthONO2_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.845 3.251 ... 4.375 nan</div><input id='attrs-8f52ba61-10a3-48fb-bd72-7276f4b1082b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f52ba61-10a3-48fb-bd72-7276f4b1082b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-491d3e93-19b1-45a6-bea9-443eff8c50c1' class='xr-var-data-in' type='checkbox'><label for='data-491d3e93-19b1-45a6-bea9-443eff8c50c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.84500000e+00,  3.25090909e+00, -1.61612895e+05, -1.48145925e+05,\n",
+       "        2.53750000e+00,  3.07764706e+00, -2.37035477e+05, -4.44442578e+05,\n",
+       "       -3.23230275e+05,  2.70454545e+00,  3.55500000e+00,  2.76200000e+00,\n",
+       "       -3.95060186e+05, -6.18356347e+05, -4.44443423e+05,  2.60454545e+00,\n",
+       "        4.02230769e+00,  5.38000000e+00,  4.48260870e+00,  3.46380952e+00,\n",
+       "        4.61833333e+00,  4.39000000e+00, -3.23230683e+05,  3.65727273e+00,\n",
+       "       -2.96294163e+05, -1.54584944e+05,  8.19190476e+00, -5.92589317e+05,\n",
+       "       -1.48145307e+05,  3.47000000e+00,  1.61000000e+00,  7.38000000e+00,\n",
+       "        7.05565217e+00,  4.37523810e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iPropONO2_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.96 -4.04e+05 ... 25.2 nan</div><input id='attrs-833a2ba9-71d4-414c-9d60-4d93dcf5e088' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-833a2ba9-71d4-414c-9d60-4d93dcf5e088' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6aad832b-099f-4684-8093-273f2c2981dd' class='xr-var-data-in' type='checkbox'><label for='data-6aad832b-099f-4684-8093-273f2c2981dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.89600000e+01, -4.04033549e+05, -4.04034178e+05, -4.44439937e+05,\n",
+       "       -2.22213312e+05, -8.88888000e+05, -4.14809275e+05, -2.22213200e+05,\n",
+       "       -8.88888000e+05, -4.04034615e+05, -7.40738232e+05, -5.33328508e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,  1.37027273e+01,\n",
+       "        1.68353846e+01,  2.24016667e+01,  1.70843478e+01,  1.48890476e+01,\n",
+       "        1.88833333e+01,  2.12333333e+01, -6.46462538e+05,  7.11272727e+00,\n",
+       "       -2.96290902e+05, -3.09158867e+05,  3.56485714e+01, -4.44431242e+05,\n",
+       "       -4.44441152e+05, -1.61609860e+05, -6.46462162e+05,  3.42116667e+01,\n",
+       "        3.55065217e+01,  2.51995238e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2ButONO2iButONO2_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>22.37 -4.04e+05 ... -2.116e+05 nan</div><input id='attrs-59a8fb2e-ede9-40ac-8e84-d62904dfa81b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59a8fb2e-ede9-40ac-8e84-d62904dfa81b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5492963-91a7-406b-925b-070ab8091a13' class='xr-var-data-in' type='checkbox'><label for='data-e5492963-91a7-406b-925b-070ab8091a13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.23700000e+01, -4.04028775e+05, -8.07912309e+04, -4.44436757e+05,\n",
+       "       -4.44435103e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -3.55541872e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -1.61604512e+05,\n",
+       "       -2.73494981e+05,  2.02225000e+01, -1.15921899e+05, -5.07931377e+05,\n",
+       "        1.74633333e+01,  2.29500000e+01, -8.88888000e+05, -5.65651462e+05,\n",
+       "       -7.40738945e+05, -3.09156157e+05,  3.88614286e+01, -5.92574040e+05,\n",
+       "       -8.88888000e+05, -7.27270609e+05, -8.88888000e+05,  4.00716667e+01,\n",
+       "       -1.15907158e+05, -2.11617815e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UnknownC2H4O_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>54.96 37.87 32.92 ... 46.83 nan</div><input id='attrs-b9a34c5a-bee3-4961-ace4-f0a52fb6cb01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9a34c5a-bee3-4961-ace4-f0a52fb6cb01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19e31f03-ae00-430f-9fc3-7e56dac6b1da' class='xr-var-data-in' type='checkbox'><label for='data-19e31f03-ae00-430f-9fc3-7e56dac6b1da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([54.965     , 37.86909091, 32.92363636, 25.51833333, 25.1525    ,\n",
+       "       22.70588235, 21.28533333, 24.41      , 23.07727273, 25.96636364,\n",
+       "       27.90833333, 23.92      , 19.18222222, 14.76521739, 14.865     ,\n",
+       "       37.78909091, 53.44538462, 68.95416667, 54.85956522, 40.00857143,\n",
+       "       49.99333333, 48.01166667, 24.84      , 23.60545455, 22.67166667,\n",
+       "       32.51173913, 54.90047619, 32.035     , 19.925     , 17.77090909,\n",
+       "       25.35818182, 49.15      , 54.99782609, 46.8347619 ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C3O2_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.4 -2.424e+05 ... -1.693e+05 nan</div><input id='attrs-43147911-24dd-4923-a551-996fd2296ac3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43147911-24dd-4923-a551-996fd2296ac3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b88de681-4277-40a4-8709-c0002609c8e0' class='xr-var-data-in' type='checkbox'><label for='data-b88de681-4277-40a4-8709-c0002609c8e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 6.40000000e+00, -2.42420727e+05, -4.04036956e+05, -1.48143798e+05,\n",
+       "       -4.44442230e+05, -2.09147066e+05, -2.37032631e+05, -6.66665292e+05,\n",
+       "       -3.23229075e+05, -3.23228418e+05, -1.48143685e+05, -1.77773382e+05,\n",
+       "       -3.95059542e+05,  5.21043478e+00,  4.51166667e+00,  4.88181818e+00,\n",
+       "        4.28923077e+00, -7.40695200e+04, -4.25117620e+05, -7.19574859e+05,\n",
+       "       -2.96293278e+05, -1.48142423e+05, -1.61612634e+05, -3.23230012e+05,\n",
+       "       -1.48145012e+05,  4.58652174e+00,  7.59380952e+00, -5.92589627e+05,\n",
+       "       -2.96293337e+05, -2.42420675e+05, -4.04037956e+05,  7.23500000e+00,\n",
+       "        6.19826087e+00, -1.69307373e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>THF_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.565 -8.889e+05 ... -8.889e+05 nan</div><input id='attrs-a1c3894b-2d8c-4d72-a48d-61112c580179' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1c3894b-2d8c-4d72-a48d-61112c580179' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0e056a0-873b-466a-9b3e-6138e82d698a' class='xr-var-data-in' type='checkbox'><label for='data-e0e056a0-873b-466a-9b3e-6138e82d698a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.56500000e+00, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -5.65655527e+05,\n",
+       "       -6.83759298e+05, -8.88888000e+05, -5.41061630e+05, -8.88888000e+05,\n",
+       "       -7.40739372e+05, -5.92591472e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -3.09176374e+05,  4.93714286e+00, -5.92589910e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -2.96292943e+05,\n",
+       "       -1.15937129e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x23Butanedione_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.46 8.616 4.065 ... 11.08 nan</div><input id='attrs-1bdaad18-499b-4752-8b7a-1abf07fa5566' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bdaad18-499b-4752-8b7a-1abf07fa5566' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7261afda-61e4-42ec-ac60-dbe19a76ae4a' class='xr-var-data-in' type='checkbox'><label for='data-7261afda-61e4-42ec-ac60-dbe19a76ae4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.44600000e+01,  8.61636364e+00,  4.06545455e+00,  3.81666667e+00,\n",
+       "        2.84000000e+00, -4.70586454e+05, -4.14812187e+05,  3.50750000e+00,\n",
+       "        3.77909091e+00,  3.74636364e+00,  3.01000000e+00, -1.77774988e+05,\n",
+       "        1.83666667e+00, -4.63766173e+05, -4.44442640e+05,  1.06672727e+01,\n",
+       "        2.43469231e+01,  2.57850000e+01,  1.74865217e+01,  7.20666667e+00,\n",
+       "        1.00983333e+01,  1.26766667e+01,  5.87363636e+00,  7.92272727e+00,\n",
+       "        5.68833333e+00,  1.10917391e+01,  2.01985714e+01,  1.13883333e+01,\n",
+       "        6.53666667e+00,  8.21272727e+00,  5.50545455e+00,  1.78666667e+01,\n",
+       "        1.56639130e+01,  1.10823810e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EthAcetate_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.365 -4.04e+05 ... 10.46 nan</div><input id='attrs-ec23ee0a-76a8-40fa-8a07-34987613e421' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec23ee0a-76a8-40fa-8a07-34987613e421' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39ac8df1-9ea2-45da-83f4-ea0db515f79b' class='xr-var-data-in' type='checkbox'><label for='data-39ac8df1-9ea2-45da-83f4-ea0db515f79b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.36500000e+00, -4.04039169e+05, -7.27271733e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -7.27271709e+05, -4.44443287e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -4.84846097e+05,\n",
+       "        7.40330769e+01,  8.28733333e+01,  4.16517391e+01,  2.71571429e+00,\n",
+       "       -1.48140822e+05,  9.90333333e+00, -7.27271033e+05, -8.08061364e+04,\n",
+       "       -5.92591632e+05, -3.09166023e+05,  3.07547619e+01, -4.44431557e+05,\n",
+       "       -4.44442923e+05,  1.98727273e+00, -8.08079867e+05,  2.59033333e+01,\n",
+       "        2.45356522e+01,  1.04571429e+01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MePropionate_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.444e+05 -7.273e+05 ... nan</div><input id='attrs-33c9ebd1-00f4-4a4f-84a7-6cf97d820474' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33c9ebd1-00f4-4a4f-84a7-6cf97d820474' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-296f1639-8879-4230-8ab1-8e102592bed9' class='xr-var-data-in' type='checkbox'><label for='data-296f1639-8879-4230-8ab1-8e102592bed9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-4.44443475e+05, -7.27271776e+05, -7.27271815e+05, -8.88888000e+05,\n",
+       "       -6.66665603e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -4.10253782e+05,  3.72750000e+00, -2.70529578e+05, -8.88888000e+05,\n",
+       "       -2.96294588e+05, -2.96294398e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -6.18356364e+05,  2.42904762e+00, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -7.27271745e+05, -1.48145907e+05,\n",
+       "       -5.79709059e+05, -7.19575621e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2EthFuran_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-5cc20fc6-6103-4282-b5e5-70b46bfb4dd9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cc20fc6-6103-4282-b5e5-70b46bfb4dd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6819ebe9-be85-4728-b606-3445c68d3516' class='xr-var-data-in' type='checkbox'><label for='data-6819ebe9-be85-4728-b606-3445c68d3516' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DimeFurans_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-2f8b1cb9-f906-41dc-bdb6-8f7347eb4a1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f8b1cb9-f906-41dc-bdb6-8f7347eb4a1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4c348e4-2836-4082-a785-5ca35a998352' class='xr-var-data-in' type='checkbox'><label for='data-b4c348e4-2836-4082-a785-5ca35a998352' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UnknownC6H8O_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-3f4f9375-a85e-4b02-aba5-a952c65033ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f4f9375-a85e-4b02-aba5-a952c65033ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0ad80cc-a2c2-4a9e-98fc-e9a460dc72e0' class='xr-var-data-in' type='checkbox'><label for='data-e0ad80cc-a2c2-4a9e-98fc-e9a460dc72e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VinylFuranA_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-44047843-5312-4e23-8373-85f15a113ec0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44047843-5312-4e23-8373-85f15a113ec0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10e97023-107a-4d4e-acb5-7cf4ddfd9a51' class='xr-var-data-in' type='checkbox'><label for='data-10e97023-107a-4d4e-acb5-7cf4ddfd9a51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VinylFuranB_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-71ce05e6-8dd7-4de7-91be-5739f07346e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71ce05e6-8dd7-4de7-91be-5739f07346e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2cf2acd-f5ef-40d8-806e-fe4c792ca03b' class='xr-var-data-in' type='checkbox'><label for='data-e2cf2acd-f5ef-40d8-806e-fe4c792ca03b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3Furaldehyde_TOGA_APEL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.889e+05 -8.889e+05 ... nan</div><input id='attrs-4272f265-9869-468b-9dde-05d5e62deda5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4272f265-9869-468b-9dde-05d5e62deda5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d10f1d87-3af5-42da-9878-df2f1a021987' class='xr-var-data-in' type='checkbox'><label for='data-d10f1d87-3af5-42da-9878-df2f1a021987' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888., -888888., -888888.,\n",
+       "       -888888., -888888., -888888., -888888.,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C2Cl4_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.02259 nan nan</div><input id='attrs-cd2877bd-f6d6-41ba-974f-92a90772e40e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd2877bd-f6d6-41ba-974f-92a90772e40e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-741ff63a-749b-43f9-a8bb-783a2631a2c0' class='xr-var-data-in' type='checkbox'><label for='data-741ff63a-749b-43f9-a8bb-783a2631a2c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.01883333, 0.01171818, 0.00315   , 0.00215   , 0.00216667,\n",
+       "       0.02695455, 0.02576   , 0.01367778, 0.0019125 , 0.002175  ,\n",
+       "       0.00251429, 0.026375  , 0.02259286,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHCl3_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.02371 nan nan</div><input id='attrs-d36d2860-f32b-41cf-a8d7-764556d1d8d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d36d2860-f32b-41cf-a8d7-764556d1d8d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6abf414d-97ac-45a0-b73d-992d6f4cdb21' class='xr-var-data-in' type='checkbox'><label for='data-6abf414d-97ac-45a0-b73d-992d6f4cdb21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.02653333, 0.01980909, 0.0119875 , 0.01418333, 0.0162    ,\n",
+       "       0.02438182, 0.03358   , 0.01683333, 0.0133875 , 0.016425  ,\n",
+       "       0.01128571, 0.0278625 , 0.02370714,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ethane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 3.283 nan nan</div><input id='attrs-414363b8-e158-4eec-8ac6-fd33f3439680' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-414363b8-e158-4eec-8ac6-fd33f3439680' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-612886ea-8c34-4038-b027-6733060e9aca' class='xr-var-data-in' type='checkbox'><label for='data-612886ea-8c34-4038-b027-6733060e9aca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       2.43806667, 2.25824545, 0.7226375 , 0.54331667, 0.4815    ,\n",
+       "       2.47744545, 3.72582   , 2.0472    , 0.52195   , 0.616325  ,\n",
+       "       1.17968571, 3.2813    , 3.28342143,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Propane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 2.129 nan nan</div><input id='attrs-c8aa85f7-acb5-46e8-b708-d45ffee36f6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8aa85f7-acb5-46e8-b708-d45ffee36f6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-997494ec-d345-413f-b731-81e359efe378' class='xr-var-data-in' type='checkbox'><label for='data-997494ec-d345-413f-b731-81e359efe378' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       1.2717    , 1.0905    , 0.15015   , 0.07806667, 0.061     ,\n",
+       "       1.30970909, 2.24008   , 1.11912222, 0.076425  , 0.121425  ,\n",
+       "       0.24408571, 1.88885   , 2.12885714,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nButane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.4724 nan nan</div><input id='attrs-18efba2f-8931-407b-9342-6fa24d497a92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18efba2f-8931-407b-9342-6fa24d497a92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3085829-1024-4f9d-a4c1-c6e03b5533ba' class='xr-var-data-in' type='checkbox'><label for='data-d3085829-1024-4f9d-a4c1-c6e03b5533ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.24013333, 0.22406364, 0.03095   , 0.0095    , 0.0086    ,\n",
+       "       0.33250909, 0.42575   , 0.27378889, 0.0103875 , 0.02195   ,\n",
+       "       0.03981429, 0.4161375 , 0.47237857,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iButane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.2952 nan nan</div><input id='attrs-0e93d2a2-086e-4836-8cba-efef567a7f76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e93d2a2-086e-4836-8cba-efef567a7f76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9c0223d-91b7-4e03-8cc2-86dc09088238' class='xr-var-data-in' type='checkbox'><label for='data-c9c0223d-91b7-4e03-8cc2-86dc09088238' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.15256667, 0.14067273, 0.0214375 , 0.00638333, 0.00676667,\n",
+       "       0.20055455, 0.26441   , 0.18345556, 0.007425  , 0.014675  ,\n",
+       "       0.01782857, 0.255625  , 0.29522857,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nPentane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.2705 nan nan</div><input id='attrs-920f4e3c-5865-4d4f-955a-c0ed12c30785' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-920f4e3c-5865-4d4f-955a-c0ed12c30785' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-600a69ad-5ba9-4058-a464-40e27d3c04a7' class='xr-var-data-in' type='checkbox'><label for='data-600a69ad-5ba9-4058-a464-40e27d3c04a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.12623333, 0.10233636, 0.0116125 , 0.00288333, 0.00326667,\n",
+       "       0.16032727, 0.22988   , 0.15541111, 0.0035625 , 0.006125  ,\n",
+       "       0.01247143, 0.2134875 , 0.27049286,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iPentane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.5362 nan nan</div><input id='attrs-b1b8e970-da5b-4a4d-ad37-ad15dd59ecbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1b8e970-da5b-4a4d-ad37-ad15dd59ecbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66d4b198-6f22-4a1a-bd65-256c7fb8b610' class='xr-var-data-in' type='checkbox'><label for='data-66d4b198-6f22-4a1a-bd65-256c7fb8b610' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.2532    , 0.2026    , 0.0258    , 0.00445   , 0.00583333,\n",
+       "       0.31945455, 0.43836   , 0.30166667, 0.0067875 , 0.0105    ,\n",
+       "       0.01605714, 0.4078125 , 0.53616429,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nHexane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.1807 nan nan</div><input id='attrs-ecf4448e-c1e0-411c-b104-9647ac945e24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecf4448e-c1e0-411c-b104-9647ac945e24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6666dec0-36b8-481e-b728-77aa79a27430' class='xr-var-data-in' type='checkbox'><label for='data-6666dec0-36b8-481e-b728-77aa79a27430' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.0799    , 0.07373636, 0.0111375 , 0.00335   , 0.00253333,\n",
+       "       0.11379091, 0.15339   , 0.09968889, 0.0033    , 0.00535   ,\n",
+       "       0.011     , 0.1307    , 0.18067143,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2MePentane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.1447 nan nan</div><input id='attrs-6024be38-8249-420d-bcbd-110fee429c32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6024be38-8249-420d-bcbd-110fee429c32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-373a677f-bf18-4760-ab70-050e0dbae347' class='xr-var-data-in' type='checkbox'><label for='data-373a677f-bf18-4760-ab70-050e0dbae347' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.0538    , 0.04333636, 0.0064125 , 0.00156667, 0.00176667,\n",
+       "       0.0828    , 0.10871   , 0.07683333, 0.0019375 , 0.002275  ,\n",
+       "       0.00407143, 0.1068    , 0.14468571,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3MePentane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -0.02246 nan nan</div><input id='attrs-ff0b2c15-d978-4220-80aa-9597d9670505' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff0b2c15-d978-4220-80aa-9597d9670505' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-475f852a-0b52-45d5-9938-96e726802ae4' class='xr-var-data-in' type='checkbox'><label for='data-475f852a-0b52-45d5-9938-96e726802ae4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan,             nan,             nan,\n",
+       "       -9.00000000e-04, -6.03636364e-03, -2.85714286e-05,  0.00000000e+00,\n",
+       "        0.00000000e+00, -2.32727273e-03, -8.16000000e-03, -8.77777778e-03,\n",
+       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00, -4.03750000e-03,\n",
+       "       -2.24571429e-02,             nan,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x22DiMeButane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.05884 nan nan</div><input id='attrs-7a75ff5e-d4c3-4650-ad11-8df594bdbb9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a75ff5e-d4c3-4650-ad11-8df594bdbb9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f88c7157-a488-42c0-b535-22a4770e4c8b' class='xr-var-data-in' type='checkbox'><label for='data-f88c7157-a488-42c0-b535-22a4770e4c8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.0257    , 0.02478182, 0.00433333,        nan, 0.00203333,\n",
+       "       0.03368182, 0.05086   , 0.03735   , 0.00178   , 0.001975  ,\n",
+       "       0.00244   , 0.0449875 , 0.05884286,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x24DiMePentane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.05926 nan nan</div><input id='attrs-12e19935-407c-4fd9-b736-69c2eabc7f0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12e19935-407c-4fd9-b736-69c2eabc7f0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98e8ff2e-4b2d-4bfe-ab5f-0d715fe9df43' class='xr-var-data-in' type='checkbox'><label for='data-98e8ff2e-4b2d-4bfe-ab5f-0d715fe9df43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.02576667, 0.02284545, 0.0061    ,        nan,        nan,\n",
+       "       0.0326    , 0.04753   , 0.05682   ,        nan,        nan,\n",
+       "              nan, 0.041325  , 0.05925714,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nOctane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a3cf1bbd-6e25-4718-acb2-01e90b538215' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3cf1bbd-6e25-4718-acb2-01e90b538215' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4da19d4c-40e1-4717-aa46-afe0e85346ad' class='xr-var-data-in' type='checkbox'><label for='data-4da19d4c-40e1-4717-aa46-afe0e85346ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x224TriMePentane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.1224 nan nan</div><input id='attrs-8fbd78a8-5c1f-4b95-ac06-19d0d0601cb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fbd78a8-5c1f-4b95-ac06-19d0d0601cb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-584d7098-d6df-4ea1-8485-0914363464b5' class='xr-var-data-in' type='checkbox'><label for='data-584d7098-d6df-4ea1-8485-0914363464b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.06856667, 0.05582727, 0.0073125 , 0.000975  , 0.00046667,\n",
+       "       0.07479091, 0.11448   , 0.07096667, 0.00131429, 0.001675  ,\n",
+       "       0.00366   , 0.0974375 , 0.12242143,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nNonane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.02347 nan nan</div><input id='attrs-8003a1f6-793d-4d29-8c8e-8c7f88182f83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8003a1f6-793d-4d29-8c8e-8c7f88182f83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92c0e111-823d-49d6-80af-08f3d4bbd419' class='xr-var-data-in' type='checkbox'><label for='data-92c0e111-823d-49d6-80af-08f3d4bbd419' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.0081    , 0.00807273, 0.00108   ,        nan,        nan,\n",
+       "       0.00806364, 0.01499   , 0.0168    ,        nan,        nan,\n",
+       "       0.00135   , 0.0120125 , 0.02347143,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nDecane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.02616 nan nan</div><input id='attrs-323ac1c4-0838-45dd-a1dc-2776f9d4d0ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-323ac1c4-0838-45dd-a1dc-2776f9d4d0ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-598062e6-8e35-4e1e-90d0-f5842f44b266' class='xr-var-data-in' type='checkbox'><label for='data-598062e6-8e35-4e1e-90d0-f5842f44b266' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.01346667, 0.01057273, 0.00174   ,        nan,        nan,\n",
+       "       0.01104545, 0.02079   , 0.0122125 , 0.0009    , 0.000925  ,\n",
+       "       0.00103333, 0.0172    , 0.02615714,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeCycPentane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.06944 nan nan</div><input id='attrs-c2101c42-634c-4f0f-8c35-766f54a6e723' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2101c42-634c-4f0f-8c35-766f54a6e723' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c7a9d9f-2fbb-4878-a50b-566f6c1a952a' class='xr-var-data-in' type='checkbox'><label for='data-3c7a9d9f-2fbb-4878-a50b-566f6c1a952a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.02386667, 0.02205455, 0.002325  , 0.00043333, 0.00033333,\n",
+       "       0.04226364, 0.05696   , 0.03713333, 0.00074286, 0.000825  ,\n",
+       "       0.00117143, 0.0501625 , 0.06943571,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CycHexane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -0.04927 nan nan</div><input id='attrs-e5230458-aca4-41e7-b7e6-c3b1efe7ac7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5230458-aca4-41e7-b7e6-c3b1efe7ac7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68d4b985-258d-4eef-961c-436a85957936' class='xr-var-data-in' type='checkbox'><label for='data-68d4b985-258d-4eef-961c-436a85957936' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "       -0.01156667, -0.01761818, -0.0012    ,         nan,         nan,\n",
+       "       -0.0166    , -0.03584   , -0.0378    ,         nan,         nan,\n",
+       "               nan, -0.024425  , -0.04927143,         nan,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeCycHexane_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.05366 nan nan</div><input id='attrs-7fd93712-b135-4808-a0db-4738a60c4f2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fd93712-b135-4808-a0db-4738a60c4f2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68158577-a668-4ba8-bdc6-15351745883c' class='xr-var-data-in' type='checkbox'><label for='data-68158577-a668-4ba8-bdc6-15351745883c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.02323333, 0.0228    , 0.0036    ,        nan,        nan,\n",
+       "       0.02803636, 0.04265   , 0.04724   ,        nan,        nan,\n",
+       "              nan, 0.035875  , 0.05365714,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ethyne_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.2736 nan nan</div><input id='attrs-b97e1e37-a7af-46ca-a485-e12efc5752e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b97e1e37-a7af-46ca-a485-e12efc5752e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-297d079e-52de-4a4d-9dcc-c4485f3c68a0' class='xr-var-data-in' type='checkbox'><label for='data-297d079e-52de-4a4d-9dcc-c4485f3c68a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.2121    , 0.18975455, 0.0336375 , 0.0208    , 0.0221    ,\n",
+       "       0.17962727, 0.31811   , 0.19074444, 0.0183375 , 0.028725  ,\n",
+       "       0.11038571, 0.2521375 , 0.27357857,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ethene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.4836 nan nan</div><input id='attrs-24454866-8815-4d48-a342-89d4ef31742d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24454866-8815-4d48-a342-89d4ef31742d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fcc4477-b124-47c8-ad47-4300af3752cb' class='xr-var-data-in' type='checkbox'><label for='data-9fcc4477-b124-47c8-ad47-4300af3752cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.35186667, 0.28811818, 0.041     , 0.0216    , 0.0252    ,\n",
+       "       0.23486364, 0.42986   , 0.23833333, 0.024325  , 0.0354    ,\n",
+       "       0.25457143, 0.3484875 , 0.48358571,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Propene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.07651 nan nan</div><input id='attrs-9b1e2c21-574f-4abc-ba7a-ea8e242e785c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b1e2c21-574f-4abc-ba7a-ea8e242e785c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26ea49cf-4463-4475-9eed-e4cc6f80c52e' class='xr-var-data-in' type='checkbox'><label for='data-26ea49cf-4463-4475-9eed-e4cc6f80c52e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.03503333, 0.02958182, 0.008025  , 0.00605   , 0.00593333,\n",
+       "       0.03030909, 0.03868   , 0.0281    , 0.0056375 , 0.008525  ,\n",
+       "       0.01707143, 0.052325  , 0.07651429,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Butene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.01562 nan nan</div><input id='attrs-62659fff-c1c3-4cd2-af15-83fd7ec1abd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62659fff-c1c3-4cd2-af15-83fd7ec1abd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60971af2-9ea4-4406-a076-04fec882987f' class='xr-var-data-in' type='checkbox'><label for='data-60971af2-9ea4-4406-a076-04fec882987f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.00583333, 0.00497273, 0.0016    , 0.0012    , 0.0012    ,\n",
+       "       0.00427273, 0.00569   , 0.00422222, 0.001025  , 0.001925  ,\n",
+       "       0.00335714, 0.0093    , 0.01562143,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>c2Butene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-8a25fef9-c8dd-459e-81fc-407271a1ea86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a25fef9-c8dd-459e-81fc-407271a1ea86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc0c48fd-19cb-4437-a781-bb46473ff488' class='xr-var-data-in' type='checkbox'><label for='data-fc0c48fd-19cb-4437-a781-bb46473ff488' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t2butene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.002479 nan nan</div><input id='attrs-a153e9f0-c5b0-49aa-9162-f6293722fd04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a153e9f0-c5b0-49aa-9162-f6293722fd04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59371741-d881-4db8-a60f-dac94830384e' class='xr-var-data-in' type='checkbox'><label for='data-59371741-d881-4db8-a60f-dac94830384e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.00096667, 0.00082727, 0.00045   , 0.00035   , 0.00033333,\n",
+       "       0.00094545, 0.00111   , 0.0009    , 0.0004125 , 0.0006    ,\n",
+       "       0.00057143, 0.001775  , 0.00247857,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iButene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.07028 nan nan</div><input id='attrs-249116a5-426d-49a3-869c-754e57697342' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-249116a5-426d-49a3-869c-754e57697342' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3be6ba4b-7fb0-4815-ba69-ec7b9c0e1222' class='xr-var-data-in' type='checkbox'><label for='data-3be6ba4b-7fb0-4815-ba69-ec7b9c0e1222' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.03726667, 0.03932727, 0.0204    , 0.01493333, 0.01443333,\n",
+       "       0.03461818, 0.04301   , 0.0333    , 0.0117125 , 0.023375  ,\n",
+       "       0.02724286, 0.0600875 , 0.07027857,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1Pentene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.01027 nan nan</div><input id='attrs-8726acb9-df70-45ca-b8d0-327da025b9c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8726acb9-df70-45ca-b8d0-327da025b9c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f25e151-3032-4a1a-99f1-04bb0080a252' class='xr-var-data-in' type='checkbox'><label for='data-4f25e151-3032-4a1a-99f1-04bb0080a252' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.00303333, 0.00266364, 0.000775  , 0.00085   , 0.00086667,\n",
+       "       0.00272727, 0.00351   , 0.00271111, 0.000625  , 0.00135   ,\n",
+       "       0.00185714, 0.005775  , 0.01027143,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>c2Pentene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.001136 nan nan</div><input id='attrs-7a40921c-ce5c-4287-aed8-d800f46677e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a40921c-ce5c-4287-aed8-d800f46677e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7217f01b-3dbd-4777-9e86-0e0c5d619990' class='xr-var-data-in' type='checkbox'><label for='data-7217f01b-3dbd-4777-9e86-0e0c5d619990' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.0005    , 0.00034545, 0.00015   , 0.00016667, 0.00016667,\n",
+       "       0.0007    , 0.00077   , 0.00083333, 0.0001    , 0.0001    ,\n",
+       "       0.00022857, 0.001225  , 0.00113571,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t2Pentene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.001529 nan nan</div><input id='attrs-1deb5d24-4509-482e-a87e-765360862829' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1deb5d24-4509-482e-a87e-765360862829' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c69ea10-42a7-4f27-a546-24f8f00ee3db' class='xr-var-data-in' type='checkbox'><label for='data-1c69ea10-42a7-4f27-a546-24f8f00ee3db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.00066667, 0.00046364, 0.0001625 , 0.00025   , 0.00026667,\n",
+       "       0.00080909, 0.00091   , 0.0007125 , 0.00017143, 0.0002    ,\n",
+       "       0.00018571, 0.001425  , 0.00152857,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2Me1Butene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.01784 nan nan</div><input id='attrs-f91003d6-555d-4eec-8dc6-4e05580a45a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f91003d6-555d-4eec-8dc6-4e05580a45a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8b81bf2-2d01-4766-98f0-38d9ad5f685b' class='xr-var-data-in' type='checkbox'><label for='data-c8b81bf2-2d01-4766-98f0-38d9ad5f685b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.00326667, 0.00539091, 0.0017625 , 0.00093333, 0.00113333,\n",
+       "       0.01080909, 0.0125    , 0.0088    , 0.00085   , 0.001725  ,\n",
+       "       0.0023    , 0.015625  , 0.01784286,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x3Me1Butene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.003321 nan nan</div><input id='attrs-a9d87126-f08e-4a33-95d8-822a541f605d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9d87126-f08e-4a33-95d8-822a541f605d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-166def16-774b-4ed3-8865-c11eb3db8083' class='xr-var-data-in' type='checkbox'><label for='data-166def16-774b-4ed3-8865-c11eb3db8083' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.0014    , 0.00117273, 0.00028333, 0.0002    , 0.0003    ,\n",
+       "       0.00137273, 0.0022    , 0.00131111, 0.0002    , 0.0002    ,\n",
+       "       0.00047143, 0.0023625 , 0.00332143,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t13Pentadiene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-09bdb5f7-9baa-4979-9b03-799c6b34d490' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09bdb5f7-9baa-4979-9b03-799c6b34d490' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c2aef07-e5c9-4e49-8a01-54446fd7e696' class='xr-var-data-in' type='checkbox'><label for='data-8c2aef07-e5c9-4e49-8a01-54446fd7e696' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Isoprene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.2529 nan nan</div><input id='attrs-a527c4d2-6494-4b99-8a05-99e1da33b0cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a527c4d2-6494-4b99-8a05-99e1da33b0cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50332e1a-4bc1-4fb9-82a0-711c028779d6' class='xr-var-data-in' type='checkbox'><label for='data-50332e1a-4bc1-4fb9-82a0-711c028779d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.04113333, 0.07652   , 0.00185   ,        nan,        nan,\n",
+       "       0.21636364, 0.17848   , 0.1207625 ,        nan,        nan,\n",
+       "              nan, 0.15055   , 0.25285714,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aPinene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.02188 nan nan</div><input id='attrs-b2a4d5fb-6700-49a4-b32c-03d97f1b5073' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2a4d5fb-6700-49a4-b32c-03d97f1b5073' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-673d5afc-fd41-44b6-b017-273ec11cb78c' class='xr-var-data-in' type='checkbox'><label for='data-673d5afc-fd41-44b6-b017-273ec11cb78c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.00843333, 0.00945455,        nan, 0.002875  , 0.00416667,\n",
+       "       0.01961818, 0.01638   , 0.01145714, 0.0043    , 0.00435   ,\n",
+       "              nan, 0.012475  , 0.02187857,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Benzene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.2016 nan nan</div><input id='attrs-0c2b8968-1222-455f-a080-42c4b50e0efa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c2b8968-1222-455f-a080-42c4b50e0efa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc7df3f6-6e31-446c-a240-e65418e96f07' class='xr-var-data-in' type='checkbox'><label for='data-dc7df3f6-6e31-446c-a240-e65418e96f07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.18646667, 0.14705455, 0.0182    , 0.0127    , 0.01813333,\n",
+       "       0.13359091, 0.2385    , 0.1122    , 0.0126125 , 0.028325  ,\n",
+       "       0.15024286, 0.2082    , 0.20164286,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Toluene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.3351 nan nan</div><input id='attrs-43abf0e7-b749-4881-9f84-2647354df15c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43abf0e7-b749-4881-9f84-2647354df15c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ada0fd03-5a6d-4b27-bb3f-0349827ab923' class='xr-var-data-in' type='checkbox'><label for='data-ada0fd03-5a6d-4b27-bb3f-0349827ab923' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.18756667, 0.16148182, 0.015525  , 0.00235   , 0.00256667,\n",
+       "       0.17428182, 0.30067   , 0.17581111, 0.003275  , 0.005075  ,\n",
+       "       0.04468571, 0.2380875 , 0.33514286,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EthBenzene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.07319 nan nan</div><input id='attrs-c77f9be2-67d3-4f9b-8f4c-e8036b3c1d9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c77f9be2-67d3-4f9b-8f4c-e8036b3c1d9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0986cc0d-812c-4e17-8757-638694ff7add' class='xr-var-data-in' type='checkbox'><label for='data-0986cc0d-812c-4e17-8757-638694ff7add' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.03476667, 0.02926364, 0.0024625 , 0.0005    ,        nan,\n",
+       "       0.03344545, 0.05733   , 0.03675   , 0.0016    , 0.00095   ,\n",
+       "       0.00484286, 0.046475  , 0.07318571,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oXylene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.05591 nan nan</div><input id='attrs-0d7bb3f2-04eb-421e-aeca-c346e0cd2a2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d7bb3f2-04eb-421e-aeca-c346e0cd2a2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2fb3290-ba7f-434b-9af4-2c9220ada3d2' class='xr-var-data-in' type='checkbox'><label for='data-f2fb3290-ba7f-434b-9af4-2c9220ada3d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.02413333, 0.02139091, 0.0019    ,        nan,        nan,\n",
+       "       0.02302727, 0.04074   , 0.03065714,        nan,        nan,\n",
+       "       0.0023    , 0.0306125 , 0.05590714,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mpXylene_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.06832 nan nan</div><input id='attrs-077be016-f115-4538-9500-a8cd18f66cf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-077be016-f115-4538-9500-a8cd18f66cf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f521291-5f17-437a-bc5d-46e55ce95d85' class='xr-var-data-in' type='checkbox'><label for='data-9f521291-5f17-437a-bc5d-46e55ce95d85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.03296667, 0.02619091, 0.0017    ,        nan,        nan,\n",
+       "       0.03073636, 0.04976   , 0.032825  , 0.001     , 0.0008    ,\n",
+       "       0.00174286, 0.039775  , 0.06832143,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Acetone_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 9.657 nan nan</div><input id='attrs-a4be93ba-409c-4077-9c27-455780887065' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4be93ba-409c-4077-9c27-455780887065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e924ca6c-d9ac-4191-88b2-cb8fdbfb2f94' class='xr-var-data-in' type='checkbox'><label for='data-e924ca6c-d9ac-4191-88b2-cb8fdbfb2f94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       6.55016667, 5.59167273, 1.877275  , 1.57715   , 1.2643    ,\n",
+       "       5.94944545, 8.49524   , 5.28417778, 1.3071125 , 1.6143    ,\n",
+       "       2.67982857, 8.02865   , 9.65678571,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MEK_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 1.055 nan nan</div><input id='attrs-ab98582f-466e-4bae-a3c2-f39a50686a0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab98582f-466e-4bae-a3c2-f39a50686a0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46e18c5d-0f7e-41c6-862f-81700335f3a7' class='xr-var-data-in' type='checkbox'><label for='data-46e18c5d-0f7e-41c6-862f-81700335f3a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.65966667, 0.5781    , 0.2049    , 0.16718333, 0.1588    ,\n",
+       "       0.57966364, 0.78833   , 0.51378889, 0.1312625 , 0.21945   ,\n",
+       "       0.30854286, 0.7689625 , 1.05531429,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MeFormate_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.1803 nan nan</div><input id='attrs-1f6badf1-8fe2-47c2-a832-2034db195bf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f6badf1-8fe2-47c2-a832-2034db195bf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-059d844e-a7ab-4795-bec4-6317a6168ab4' class='xr-var-data-in' type='checkbox'><label for='data-059d844e-a7ab-4795-bec4-6317a6168ab4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.1706    , 0.1405    , 0.058025  , 0.06636667, 0.04723333,\n",
+       "       0.14759091, 0.18555   , 0.11426667, 0.0512125 , 0.05655   ,\n",
+       "       0.09941429, 0.1863625 , 0.18025714,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Furan_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.02595 nan nan</div><input id='attrs-b897f33f-849c-464d-8990-c61beda79f9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b897f33f-849c-464d-8990-c61beda79f9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f96e15e8-d3b0-4ce3-af0f-74a6819d6114' class='xr-var-data-in' type='checkbox'><label for='data-f96e15e8-d3b0-4ce3-af0f-74a6819d6114' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.0253    , 0.02017273, 0.010125  ,        nan, 0.0017    ,\n",
+       "       0.00112727, 0.00376   , 0.00483333, 0.0018    ,        nan,\n",
+       "              nan, 0.0155375 , 0.02595   ,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3CN_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.1812 nan nan</div><input id='attrs-330d2742-c1b6-4949-b264-04127603f852' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-330d2742-c1b6-4949-b264-04127603f852' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67bce83d-c936-4d48-929f-f6ffb102d9e7' class='xr-var-data-in' type='checkbox'><label for='data-67bce83d-c936-4d48-929f-f6ffb102d9e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.24726667, 0.20661818, 0.1315    , 0.13328333, 0.092     ,\n",
+       "       0.14501818, 0.22763   , 0.15231111, 0.1083875 , 0.087025  ,\n",
+       "       0.37011429, 0.2217375 , 0.18117143,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Acrylonitrile_NOAAiWAS_GILMAN</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-f0d79ccd-4df5-4a41-9bad-98a9e00e0940' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0d79ccd-4df5-4a41-9bad-98a9e00e0940' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cd6f503-57b7-4814-8f51-e8afddc36be5' class='xr-var-data-in' type='checkbox'><label for='data-2cd6f503-57b7-4814-8f51-e8afddc36be5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.0349    , 0.01928   ,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.02835714,        nan,        nan,        nan,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCN_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3514 0.1316 0.2842 ... 0.5017 nan</div><input id='attrs-526aaa39-bb9b-4ab6-ba5c-299f60ec649f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-526aaa39-bb9b-4ab6-ba5c-299f60ec649f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6177b08-eb37-4190-b852-c1b1b83dfb16' class='xr-var-data-in' type='checkbox'><label for='data-b6177b08-eb37-4190-b852-c1b1b83dfb16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.35135789, 0.13161037, 0.2842037 , 0.38761241, 0.38019222,\n",
+       "       0.36188796, 0.31965519, 0.35992907, 0.41471889, 0.42909463,\n",
+       "       0.5089463 , 0.4577135 , 0.43432667, 0.26250352, 0.22836278,\n",
+       "       0.65580352, 0.89032909, 0.75705457, 0.61713356, 0.83439764,\n",
+       "       0.86072056, 0.974148  , 0.26260273, 0.1698787 , 0.42662255,\n",
+       "       0.70141733, 1.21678745, 0.45454818, 0.10997285, 0.12383209,\n",
+       "       0.36956545, 0.82461891, 0.88705111, 0.50171929,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2O_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-53782b42-dc35-4671-9a49-aac596664503' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53782b42-dc35-4671-9a49-aac596664503' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6693803-a784-4ffb-b38a-2386fa7d1aec' class='xr-var-data-in' type='checkbox'><label for='data-a6693803-a784-4ffb-b38a-2386fa7d1aec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3OH_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.326 2.001 1.589 ... 3.167 nan</div><input id='attrs-c4619499-6d19-4f3c-a771-4ff236edb0e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4619499-6d19-4f3c-a771-4ff236edb0e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5f747fb-f715-446f-b00f-89b074ac5c1e' class='xr-var-data-in' type='checkbox'><label for='data-a5f747fb-f715-446f-b00f-89b074ac5c1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 4.32601579,  2.00064815,  1.58949481,  1.02833185,  1.16590593,\n",
+       "        0.54649   ,  0.52410722,  0.67103352,  0.51800389,  0.9409737 ,\n",
+       "        1.2511713 ,  0.820747  ,  0.42213556,  0.18607815,  0.18770352,\n",
+       "        1.9554863 ,  8.01297364, 11.70856423,  7.51689373,  3.06050564,\n",
+       "        3.38797944,  3.93630782,  0.79623455,  0.87209618,  0.69430764,\n",
+       "        2.64099383,  5.200834  ,  1.81039909,  0.66882582,  0.65322127,\n",
+       "        1.15452655,  4.18162509,  3.69339407,  3.16682518,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3CN_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1615 0.1462 0.1474 ... 0.1796 nan</div><input id='attrs-2431a61b-df38-46ca-8f84-32e0a1c01023' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2431a61b-df38-46ca-8f84-32e0a1c01023' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e87f9ff7-43ae-4b2e-955f-2aa11f3f8132' class='xr-var-data-in' type='checkbox'><label for='data-e87f9ff7-43ae-4b2e-955f-2aa11f3f8132' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.16152632, 0.1461563 , 0.14741611, 0.15095815, 0.15745389,\n",
+       "       0.16044148, 0.15362056, 0.16019778, 0.15522944, 0.15415241,\n",
+       "       0.15910778, 0.15540917, 0.15585315, 0.1432287 , 0.14320481,\n",
+       "       0.17061963, 0.19366091, 0.20969327, 0.18467949, 0.24324036,\n",
+       "       0.22977519, 0.26048636, 0.155016  , 0.10550025, 0.10756636,\n",
+       "       0.17170233, 0.27944418, 0.15706182, 0.11080127, 0.08151151,\n",
+       "       0.20503964, 0.22606945, 0.20639463, 0.17964446,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HNCO_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03773 0.08441 ... 0.3623 nan</div><input id='attrs-c46551ea-6ebe-47ce-bd4f-7384858b8aad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c46551ea-6ebe-47ce-bd4f-7384858b8aad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e2a949d-5e6b-4665-8035-c9087ba294a6' class='xr-var-data-in' type='checkbox'><label for='data-6e2a949d-5e6b-4665-8035-c9087ba294a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.77263158e-02,  8.44129630e-02,  1.44418981e-01,  1.57277037e-01,\n",
+       "        1.16542815e-01,  7.43114259e-02,  1.59994074e-02,  7.63326111e-02,\n",
+       "        1.00624296e-01,  1.05951037e-01,  1.79611852e-01,  1.33718883e-01,\n",
+       "        8.93057407e-02, -5.23074074e-04, -5.60431481e-02,  1.30573463e-01,\n",
+       "        3.82006000e-01,  6.30124038e-01,  5.21515593e-01,  4.39103273e-01,\n",
+       "        3.41195000e-01,  4.70474182e-01,  1.00713127e-01,  6.30361818e-02,\n",
+       "        7.16378727e-02,  2.72626500e-01,  6.03699455e-01,  2.06073636e-01,\n",
+       "        3.85586909e-02,  1.35569273e-02,  1.78502727e-01,  4.37303273e-01,\n",
+       "        4.40436296e-01,  3.62271786e-01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3CHO_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5713 -0.03382 ... 1.111 nan</div><input id='attrs-15692b44-097d-4d1d-9bfd-1741504268c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15692b44-097d-4d1d-9bfd-1741504268c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e825f706-f69f-4d18-8a67-382782b190df' class='xr-var-data-in' type='checkbox'><label for='data-e825f706-f69f-4d18-8a67-382782b190df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.71342105e-01, -3.38234630e-02, -5.56919259e-02, -5.93100000e-02,\n",
+       "       -1.14430185e-02, -5.99727778e-03, -6.56227778e-04,  3.70614259e-02,\n",
+       "       -3.16950185e-03,  3.92703704e-02,  7.41892963e-02,  4.89042167e-02,\n",
+       "        2.60849259e-02,  3.07935741e-02, -3.29730370e-02,  2.59742778e-01,\n",
+       "        2.68447000e+00,  4.11300654e+00,  2.11814034e+00,  4.83823455e-01,\n",
+       "        7.88258519e-01,  1.61684715e+00, -5.94654545e-02,  6.95709091e-04,\n",
+       "       -2.88917818e-02,  1.35497383e+00,  3.37011636e+00,  1.22685055e+00,\n",
+       "       -2.51143636e-02,  1.34583818e-02,  6.50318182e-03,  2.50601255e+00,\n",
+       "        2.90829648e+00,  1.11093293e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C2H5OH_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.674 0.01741 -0.1845 ... 2.23 nan</div><input id='attrs-8b752fbc-1b1a-4650-a373-5ba06fdcf794' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b752fbc-1b1a-4650-a373-5ba06fdcf794' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4e417f3-a0c4-41d3-bdda-2680cd048ebc' class='xr-var-data-in' type='checkbox'><label for='data-c4e417f3-a0c4-41d3-bdda-2680cd048ebc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.67397368,  0.01740889, -0.18449667, -0.01492278,  0.04462955,\n",
+       "        0.06181019, -0.0780988 , -0.10433052, -0.04721593,  0.03667815,\n",
+       "        0.12497733,  0.19262317,  0.21860074,  0.08681833, -0.02173704,\n",
+       "        0.16591883,  7.92585855, 13.89266942,  5.74826305,  0.37022055,\n",
+       "        1.53762537,  3.03667873,  0.06020818,  0.06733418,  0.17660167,\n",
+       "        2.6425995 ,  6.70030127,  2.26677545, -0.14985764,  0.29895273,\n",
+       "        0.13615536,  4.97397509,  5.41120593,  2.22990857,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCOOH_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.25 2.394 1.408 ... 4.461 nan</div><input id='attrs-b5e0cac9-fabb-4168-b67a-5ed5fc3493d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5e0cac9-fabb-4168-b67a-5ed5fc3493d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d130a26-11d9-4016-9530-6ca0f22ae2e5' class='xr-var-data-in' type='checkbox'><label for='data-9d130a26-11d9-4016-9530-6ca0f22ae2e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([3.24981053, 2.39411   , 1.40773519, 0.70030796, 0.8058513 ,\n",
+       "       0.52950278, 0.48256815, 0.53871944, 0.476395  , 0.61692463,\n",
+       "       0.70605741, 0.5740375 , 0.46823074, 0.34397352, 0.15764691,\n",
+       "       2.06559389, 6.32395636, 7.54122269, 6.02438458, 3.96524909,\n",
+       "       3.860615  , 4.70450345, 0.86854673, 1.17590527, 0.96553964,\n",
+       "       3.039154  , 6.05137545, 2.49258636, 0.893066  , 0.915872  ,\n",
+       "       1.30455309, 5.04683218, 4.96231815, 4.4614675 ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Acrylonitrile_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0005105 -0.0003924 ... nan</div><input id='attrs-643db269-4cdb-4d62-9b03-cc3ed373ac82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-643db269-4cdb-4d62-9b03-cc3ed373ac82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-078ac59f-5f12-4682-9f98-d08042fccb62' class='xr-var-data-in' type='checkbox'><label for='data-078ac59f-5f12-4682-9f98-d08042fccb62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.10526316e-04, -3.92387037e-04, -7.67592593e-04, -6.47650000e-04,\n",
+       "       -7.36301852e-04, -7.82716667e-04, -8.18761111e-04, -6.31070370e-04,\n",
+       "       -6.97677778e-04, -3.06377778e-04,  2.40148148e-05, -3.81950000e-05,\n",
+       "       -1.21751852e-04, -4.16888889e-05, -1.04114815e-04,  1.23518519e-06,\n",
+       "        4.32727273e-04,  1.87850962e-03,  6.06591525e-04,  6.44409091e-03,\n",
+       "        4.25158704e-03,  6.54687636e-03, -6.55454545e-04, -3.87012727e-04,\n",
+       "       -3.54647273e-04,  1.44597167e-03,  6.28850727e-03, -4.90909091e-05,\n",
+       "        4.57581818e-05,  2.44141818e-04,  2.13530364e-03,  3.50515091e-03,\n",
+       "        2.64881667e-03,  7.43253571e-04,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Acrolein_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.08433 0.02602 ... 0.1177 nan</div><input id='attrs-1a94661a-25cc-49ce-8d7d-35d9547e2a77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a94661a-25cc-49ce-8d7d-35d9547e2a77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77178007-072d-4552-a62f-aaa9fa8f2fe9' class='xr-var-data-in' type='checkbox'><label for='data-77178007-072d-4552-a62f-aaa9fa8f2fe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.08432632, 0.02601583, 0.01765263, 0.00329213, 0.00641946,\n",
+       "       0.00634131, 0.00875232, 0.01205309, 0.00951958, 0.01073704,\n",
+       "       0.01334113, 0.01374205, 0.00841384, 0.00496052, 0.00247449,\n",
+       "       0.0327518 , 0.16817782, 0.20949613, 0.12759831, 0.07893176,\n",
+       "       0.07631481, 0.13602473, 0.00257424, 0.00538026, 0.00208526,\n",
+       "       0.10272942, 0.24468836, 0.09169091, 0.00899121, 0.00721985,\n",
+       "       0.01548349, 0.198506  , 0.20027902, 0.11768809,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AcetonePropanal_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.344 2.04 2.056 ... 5.151 nan</div><input id='attrs-5af3f122-3cbb-47d2-b53f-0fd49aeead56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5af3f122-3cbb-47d2-b53f-0fd49aeead56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fcf6dd4-6d81-41d2-80d4-c46381fe5ae3' class='xr-var-data-in' type='checkbox'><label for='data-3fcf6dd4-6d81-41d2-80d4-c46381fe5ae3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([3.34413684, 2.04017907, 2.05592148, 1.76204574, 1.83877963,\n",
+       "       1.28735963, 1.25759611, 1.3377937 , 1.15801833, 1.69122407,\n",
+       "       2.11288093, 1.53866233, 1.05875481, 0.44225648, 0.48328778,\n",
+       "       2.64496463, 4.93714   , 5.92990404, 4.80622712, 3.495772  ,\n",
+       "       4.34631426, 5.76368982, 1.16891655, 1.26529927, 1.05393527,\n",
+       "       4.79888983, 9.34748364, 4.04305855, 1.00935091, 1.01706236,\n",
+       "       1.52255582, 7.67823873, 8.42631519, 5.15092464,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Glycolaldehyde_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8957 0.6876 0.4358 ... 1.56 nan</div><input id='attrs-99bfbfdc-f854-493b-ba65-eac6a985262a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99bfbfdc-f854-493b-ba65-eac6a985262a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e53e0f6-fc8f-46e4-aa46-877a31b9f474' class='xr-var-data-in' type='checkbox'><label for='data-3e53e0f6-fc8f-46e4-aa46-877a31b9f474' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.89565789, 0.6876137 , 0.4357737 , 0.17689759, 0.237355  ,\n",
+       "       0.13709283, 0.12816919, 0.18773704, 0.13750907, 0.21745519,\n",
+       "       0.29571519, 0.19916417, 0.15557833, 0.14401259, 0.08922428,\n",
+       "       0.623155  , 3.29911909, 4.0164675 , 2.66098237, 1.24063873,\n",
+       "       1.19414759, 1.59630418, 0.14278127, 0.21533571, 0.08817849,\n",
+       "       1.0441155 , 2.34866164, 0.82453864, 0.13457624, 0.10410182,\n",
+       "       0.33439964, 1.97028018, 1.94300556, 1.55985125,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3NO2_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01041 0.002622 ... 0.01455 nan</div><input id='attrs-bfcb93ad-3bb3-42e9-9293-f193c6f36fbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfcb93ad-3bb3-42e9-9293-f193c6f36fbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c03af5e-628e-47fa-b98a-2d128c5f1c93' class='xr-var-data-in' type='checkbox'><label for='data-7c03af5e-628e-47fa-b98a-2d128c5f1c93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.01041053,  0.00262202,  0.00337495,  0.00356323,  0.00337878,\n",
+       "        0.00212294,  0.00120093,  0.00087161,  0.00126775,  0.00377078,\n",
+       "        0.00381102,  0.00314268,  0.00377951,  0.00265575,  0.00178251,\n",
+       "        0.00321492,  0.03189364,  0.04907237,  0.02797307,  0.01361793,\n",
+       "        0.0152172 ,  0.0196897 , -0.00123045,  0.00167377,  0.00159414,\n",
+       "        0.01119657,  0.03251389,  0.01000227,  0.00153879,  0.00277182,\n",
+       "        0.00268788,  0.02528742,  0.02532762,  0.01454643,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DMS_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.001342 -0.00282 ... 0.004299 nan</div><input id='attrs-9a33b7cd-1975-4a87-9943-07700722280e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a33b7cd-1975-4a87-9943-07700722280e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3c54dce-85c1-462a-876d-a68f20f71498' class='xr-var-data-in' type='checkbox'><label for='data-a3c54dce-85c1-462a-876d-a68f20f71498' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-0.00134211, -0.00282016,  0.00032289,  0.00014759,  0.00052322,\n",
+       "        0.00084851,  0.00125924,  0.00014311,  0.00055823,  0.00049198,\n",
+       "        0.00053177,  0.00068185,  0.00033454, -0.00020209, -0.00188189,\n",
+       "       -0.00465597,  0.01138591,  0.04409725,  0.01412448,  0.00665313,\n",
+       "        0.00926164,  0.00558768, -0.006235  ,  0.01269779,  0.01033625,\n",
+       "        0.00550698,  0.01422098,  0.00152818,  0.02087122,  0.02298924,\n",
+       "       -0.00615212,  0.01335409,  0.0150785 ,  0.00429921,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C4H5N_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.0001263 0.0001918 ... nan</div><input id='attrs-d3192b80-774a-4f02-890f-c037ef6efa1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3192b80-774a-4f02-890f-c037ef6efa1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-983a860f-1921-4f57-acbe-89b5995fcb45' class='xr-var-data-in' type='checkbox'><label for='data-983a860f-1921-4f57-acbe-89b5995fcb45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-0.00012632,  0.00019177,  0.00025962,  0.00040738, -0.00031858,\n",
+       "       -0.00029496,  0.00020472,  0.00031677,  0.00029897,  0.00038827,\n",
+       "        0.00063927,  0.00070056,  0.00039247,  0.00035315,  0.00018374,\n",
+       "        0.00046507,  0.00179545,  0.00182579,  0.00079435,  0.00495838,\n",
+       "        0.00132275,  0.00221313,  0.00079591, -0.00013078, -0.00014949,\n",
+       "        0.0006613 ,  0.00237143,  0.00047955, -0.00017444,  0.00028288,\n",
+       "        0.00095909,  0.00212455,  0.00184614,  0.00085377,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Isoprene_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1685 0.07873 nan ... 0.2195 nan</div><input id='attrs-40ced679-7d52-40a1-960d-bb75a0c24542' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40ced679-7d52-40a1-960d-bb75a0c24542' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9015123b-4c6b-4e6f-a683-f2a9abf3a318' class='xr-var-data-in' type='checkbox'><label for='data-9015123b-4c6b-4e6f-a683-f2a9abf3a318' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.16851579, 0.0787326 ,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "              nan,        nan,        nan,        nan,        nan,\n",
+       "       0.11506111, 0.288214  , 0.32115423, 0.32757424, 0.14976909,\n",
+       "       0.19575944, 0.32288769, 0.07140591, 0.06605235, 0.05396738,\n",
+       "       0.32398392, 0.59270327, 0.27659682, 0.0530764 , 0.063465  ,\n",
+       "       0.06252651, 0.48114364, 0.62229704, 0.21953254,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Furan_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.02887 -0.04198 ... -0.02623 nan</div><input id='attrs-bf32cf17-9145-4aef-b098-0aad5bba25c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf32cf17-9145-4aef-b098-0aad5bba25c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee5213e8-a175-489d-b5ff-dbe97bde5b84' class='xr-var-data-in' type='checkbox'><label for='data-ee5213e8-a175-489d-b5ff-dbe97bde5b84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-0.02887368, -0.04197511, -0.0410287 , -0.04000363, -0.03877846,\n",
+       "       -0.03640978, -0.03496277, -0.03140124, -0.02621738, -0.02215124,\n",
+       "       -0.01776901, -0.01619884, -0.0141711 , -0.00942338, -0.00682119,\n",
+       "       -0.00547248,  0.02250591,  0.02092443,  0.00356931, -0.00020207,\n",
+       "       -0.01173572,  0.00333091, -0.03535758, -0.03318584, -0.03863505,\n",
+       "       -0.01523417,  0.0321922 , -0.01677818, -0.0399394 , -0.04215944,\n",
+       "       -0.04676788, -0.0011506 ,  0.0076377 , -0.02623354,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MVKMAC_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1863 0.02973 ... 0.5314 nan</div><input id='attrs-f00b17ae-999b-4ed0-a32d-b0a042faea31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f00b17ae-999b-4ed0-a32d-b0a042faea31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-055bfbd3-d3ae-4b60-86f8-851d174b566a' class='xr-var-data-in' type='checkbox'><label for='data-055bfbd3-d3ae-4b60-86f8-851d174b566a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.18625263, 0.02972717, 0.02633704, 0.01899705, 0.02013768,\n",
+       "       0.01529372, 0.01617085, 0.024134  , 0.0192475 , 0.02165041,\n",
+       "       0.02173617, 0.02364245, 0.02235954, 0.01971685, 0.01090988,\n",
+       "       0.05434872, 0.61105945, 0.42564462, 0.45371237, 0.18674164,\n",
+       "       0.28553439, 0.69842729, 0.01628218, 0.01422727, 0.01415031,\n",
+       "       0.7652205 , 1.47423418, 0.73055955, 0.01489222, 0.01382762,\n",
+       "       0.01606349, 1.14354236, 1.4484877 , 0.53135516,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C4Carbonyls_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3055 0.1101 0.1023 ... 0.3606 nan</div><input id='attrs-e32b465b-5591-494e-884b-067f09143e5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e32b465b-5591-494e-884b-067f09143e5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c1f0de3-265b-4c88-8b62-a7b72c2739cb' class='xr-var-data-in' type='checkbox'><label for='data-9c1f0de3-265b-4c88-8b62-a7b72c2739cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.30548947, 0.11009589, 0.10234052, 0.0636953 , 0.09310591,\n",
+       "       0.07450898, 0.07349939, 0.08389191, 0.0432867 , 0.07586811,\n",
+       "       0.10917217, 0.06216372, 0.02061441, 0.00408466, 0.00298539,\n",
+       "       0.23490667, 0.48846909, 0.55377173, 0.41786627, 0.26283618,\n",
+       "       0.30731963, 0.43196405, 0.02268176, 0.05885805, 0.03921878,\n",
+       "       0.31471342, 0.70712818, 0.279665  , 0.04332969, 0.06049465,\n",
+       "       0.04892045, 0.575766  , 0.64991648, 0.36063393,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C3H6O2_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3573 0.1207 ... 0.4793 nan</div><input id='attrs-3a1bd05b-8c24-44c4-94cc-a5f5c3ba3970' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a1bd05b-8c24-44c4-94cc-a5f5c3ba3970' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-803bba83-efe0-4d5d-bfe0-35dd89fa9da6' class='xr-var-data-in' type='checkbox'><label for='data-803bba83-efe0-4d5d-bfe0-35dd89fa9da6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.35726842, 0.12066093, 0.07792711, 0.040115  , 0.04616926,\n",
+       "       0.03796239, 0.03419754, 0.04397835, 0.03912222, 0.04616235,\n",
+       "       0.05220881, 0.04493232, 0.04149893, 0.03520548, 0.02338683,\n",
+       "       0.15219698, 0.76774218, 0.90316481, 0.53715237, 0.27476291,\n",
+       "       0.33630426, 0.53255524, 0.03931076, 0.06476753, 0.04567276,\n",
+       "       0.41589283, 0.93092836, 0.34680364, 0.05320511, 0.06123556,\n",
+       "       0.0816456 , 0.74645145, 0.73710148, 0.47925636,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Benzene_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03715 0.00808 ... 0.08033 nan</div><input id='attrs-1df6c574-77ee-4069-a11e-cd0538592d26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1df6c574-77ee-4069-a11e-cd0538592d26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-812fbed3-f99c-4094-b6d7-d366e8752ccc' class='xr-var-data-in' type='checkbox'><label for='data-812fbed3-f99c-4094-b6d7-d366e8752ccc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.03714737, 0.00807963, 0.00706904, 0.0049545 , 0.01065032,\n",
+       "       0.00668416, 0.00591912, 0.00633246, 0.00485406, 0.01206893,\n",
+       "       0.0173866 , 0.00720486, 0.00288183, 0.00386689, 0.00268087,\n",
+       "       0.01512263, 0.05334636, 0.06803885, 0.05951507, 0.05381747,\n",
+       "       0.07491667, 0.14082174, 0.00360211, 0.01385104, 0.01531565,\n",
+       "       0.09984225, 0.24292255, 0.07966591, 0.01081111, 0.01280207,\n",
+       "       0.02318349, 0.17307273, 0.1954535 , 0.08032559,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2MeFuranx3MeFuran_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0442 0.0247 ... 0.0439 nan</div><input id='attrs-1957f76a-df82-4be5-a1f8-0f19f2e3b3c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1957f76a-df82-4be5-a1f8-0f19f2e3b3c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0f9c2f6-5a6f-4399-9b1b-d46a90e57c42' class='xr-var-data-in' type='checkbox'><label for='data-f0f9c2f6-5a6f-4399-9b1b-d46a90e57c42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.0442    , 0.02470309, 0.03348272, 0.04271611, 0.0383445 ,\n",
+       "       0.03197306, 0.02664876, 0.0235268 , 0.02359663, 0.0227895 ,\n",
+       "       0.02149354, 0.01857232, 0.02027363, 0.01836891, 0.01211584,\n",
+       "       0.01688869, 0.07402   , 0.07075496, 0.05821695, 0.03556111,\n",
+       "       0.02746958, 0.05040847, 0.00169364, 0.00569571, 0.00181232,\n",
+       "       0.0489793 , 0.10165013, 0.04124273, 0.00674728, 0.00626697,\n",
+       "       0.00049485, 0.08306964, 0.08988313, 0.04390456,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x2Furanone_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.02208 -0.04576 ... -0.01353 nan</div><input id='attrs-708fe7fd-ca5a-42d5-b85b-b947c3b3bad5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-708fe7fd-ca5a-42d5-b85b-b947c3b3bad5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6b6a713-168c-4884-bddc-1356d353906e' class='xr-var-data-in' type='checkbox'><label for='data-a6b6a713-168c-4884-bddc-1356d353906e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-0.02208421, -0.04575535, -0.05319094, -0.05082894, -0.04983372,\n",
+       "       -0.0433068 , -0.04338209, -0.03853576, -0.03442352, -0.03107633,\n",
+       "       -0.02736606, -0.02301732, -0.01567381, -0.00829264, -0.00957922,\n",
+       "       -0.00127433,  0.05927409,  0.06880988,  0.02619586,  0.00233596,\n",
+       "        0.00180131,  0.02535556, -0.0411106 , -0.03669364, -0.03969747,\n",
+       "       -0.0104399 ,  0.05681109, -0.01278773, -0.04648364, -0.05227344,\n",
+       "       -0.05574395,  0.01340045,  0.02205133, -0.01352779,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x23Butanedione_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.04574 0.01726 ... 0.08608 nan</div><input id='attrs-5e70fab9-a3d2-4893-b952-f8d0c6790793' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e70fab9-a3d2-4893-b952-f8d0c6790793' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb22b1f3-3377-4055-ba39-a8bb2f3a2eda' class='xr-var-data-in' type='checkbox'><label for='data-bb22b1f3-3377-4055-ba39-a8bb2f3a2eda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.04573684, 0.01726276, 0.00858987, 0.00455626, 0.00860695,\n",
+       "       0.00729763, 0.00979028, 0.0081769 , 0.01009998, 0.01454115,\n",
+       "       0.01264947, 0.01060268, 0.01274059, 0.01295392, 0.00825473,\n",
+       "       0.0298443 , 0.17304727, 0.20506577, 0.13258117, 0.06746162,\n",
+       "       0.07195   , 0.11828138, 0.00529787, 0.0167178 , 0.0097506 ,\n",
+       "       0.0849075 , 0.19366055, 0.07271409, 0.01212869, 0.01098576,\n",
+       "       0.0175    , 0.15605236, 0.15444039, 0.08607976,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Toluene_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03385 0.00661 ... 0.09039 nan</div><input id='attrs-3592af73-e93e-49ca-aa03-4cc5694211bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3592af73-e93e-49ca-aa03-4cc5694211bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebfb726b-3960-4cbc-a94b-356ac7b131f2' class='xr-var-data-in' type='checkbox'><label for='data-ebfb726b-3960-4cbc-a94b-356ac7b131f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.03384737, 0.00660989, 0.00671142, 0.00474897, 0.00647443,\n",
+       "       0.00696605, 0.00572137, 0.00588091, 0.00481649, 0.00807778,\n",
+       "       0.00870864, 0.00675718, 0.00595488, 0.00407326, 0.00338128,\n",
+       "       0.00598328, 0.064055  , 0.09108185, 0.07715367, 0.02588929,\n",
+       "       0.06094683, 0.15816598, 0.00538167, 0.00530766, 0.00396212,\n",
+       "       0.12631192, 0.31845964, 0.13072636, 0.00414   , 0.00444818,\n",
+       "       0.00987349, 0.22426473, 0.29592167, 0.09039444,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Phenol_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.007758 0.003746 ... 0.009743 nan</div><input id='attrs-e3c6e350-3ba7-48a6-8c32-6ad2aa6f65e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3c6e350-3ba7-48a6-8c32-6ad2aa6f65e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4a364f4-da4b-4033-b462-c49a11e60245' class='xr-var-data-in' type='checkbox'><label for='data-c4a364f4-da4b-4033-b462-c49a11e60245' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 7.75789474e-03,  3.74588333e-03,  1.79249074e-03,  1.66302222e-03,\n",
+       "        2.21927778e-04,  4.46912963e-04, -1.19768519e-04,  7.33537037e-05,\n",
+       "        1.90623148e-03,  3.08168704e-03,  3.65262222e-03,  3.39106500e-03,\n",
+       "        3.16904815e-03,  2.94034444e-03,  1.39197593e-03,  2.84814815e-03,\n",
+       "        1.56836364e-02,  1.74876942e-02,  1.11864407e-02,  1.63428782e-02,\n",
+       "        8.65872963e-03,  1.50605945e-02,  1.46984727e-03,  2.10935091e-03,\n",
+       "        2.30424364e-03,  1.23535167e-02,  2.46156545e-02,  7.79636364e-03,\n",
+       "        1.52171818e-03,  1.45641455e-03,  2.47333273e-03,  1.97001455e-02,\n",
+       "        1.94470741e-02,  9.74325357e-03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Furfural_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.0006842 -0.00591 ... nan</div><input id='attrs-07c16c6b-138b-46af-b07a-54e13a95d6d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07c16c6b-138b-46af-b07a-54e13a95d6d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e178dae-8bdb-40f3-9964-2a86506c1ad2' class='xr-var-data-in' type='checkbox'><label for='data-5e178dae-8bdb-40f3-9964-2a86506c1ad2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-0.00068421, -0.00590967, -0.0059518 , -0.00626746, -0.00490447,\n",
+       "       -0.00476389, -0.00514278, -0.00499419, -0.00586731, -0.00518333,\n",
+       "       -0.0034843 , -0.00261421, -0.00130165, -0.00022632,  0.000493  ,\n",
+       "        0.0006073 ,  0.019605  ,  0.01977513,  0.010229  ,  0.01882338,\n",
+       "        0.0085955 ,  0.02126464, -0.00410955, -0.00541247, -0.00462273,\n",
+       "        0.00801495,  0.03346753,  0.00876409, -0.00513323, -0.00672788,\n",
+       "       -0.00253667,  0.02003196,  0.02344059,  0.00610238,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DimeFurans_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01536 0.002012 ... 0.02537 nan</div><input id='attrs-abe9f7b1-18dd-4f8b-8098-4d157661f7b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abe9f7b1-18dd-4f8b-8098-4d157661f7b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddfd8b91-d856-40aa-ab53-397b49111c14' class='xr-var-data-in' type='checkbox'><label for='data-ddfd8b91-d856-40aa-ab53-397b49111c14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.01535789, 0.00201173, 0.00366415, 0.00294674, 0.00390247,\n",
+       "       0.00588328, 0.00493315, 0.0037214 , 0.00433269, 0.00741358,\n",
+       "       0.00460403, 0.00525162, 0.00668851, 0.00473997, 0.00358004,\n",
+       "       0.00712953, 0.03494636, 0.0454106 , 0.03454651, 0.0146849 ,\n",
+       "       0.01550238, 0.02961699, 0.00283804, 0.00398818, 0.00235879,\n",
+       "       0.0287199 , 0.06176818, 0.02444091, 0.00225384, 0.00357985,\n",
+       "       0.00292576, 0.05049969, 0.05891076, 0.02537262,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MaleicAnhyd_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.003111 0.0007574 ... 0.02182 nan</div><input id='attrs-a60cfb80-71a3-4345-aed9-3fc5d6cb1d82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a60cfb80-71a3-4345-aed9-3fc5d6cb1d82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f991b591-b251-438f-9ae4-829fd38c5015' class='xr-var-data-in' type='checkbox'><label for='data-f991b591-b251-438f-9ae4-829fd38c5015' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.11052632e-03,  7.57407407e-04,  5.45575926e-04, -4.95018519e-05,\n",
+       "        1.78777778e-04,  1.71811111e-04, -1.59296296e-04,  5.83590741e-04,\n",
+       "       -7.77777778e-05,  3.30246296e-04,  7.93298148e-04,  5.81343333e-04,\n",
+       "       -9.14462963e-05,  5.98125926e-04, -7.81851852e-06,  1.03127593e-03,\n",
+       "        1.42750000e-02,  2.66206538e-02,  1.66902068e-02,  1.18042927e-02,\n",
+       "        2.48095185e-02,  4.09741327e-02,  5.84854545e-05,  2.16402545e-03,\n",
+       "        8.96060000e-04,  2.21186500e-02,  6.36340909e-02,  1.69054545e-02,\n",
+       "        1.41888909e-03,  2.06060545e-03,  9.85757636e-03,  4.41115091e-02,\n",
+       "        4.51377593e-02,  2.18172625e-02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BenzNitrile_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001416 0.0003469 ... 0.002694 nan</div><input id='attrs-9e0c9666-3ac2-4586-b6a6-bfe47c3c8f8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e0c9666-3ac2-4586-b6a6-bfe47c3c8f8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-205dd4e4-df0d-4b74-b523-2fef5847968a' class='xr-var-data-in' type='checkbox'><label for='data-205dd4e4-df0d-4b74-b523-2fef5847968a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.00141579, 0.00034691, 0.00035494, 0.00087604, 0.0009418 ,\n",
+       "       0.00107536, 0.00067761, 0.00107469, 0.00079365, 0.00072325,\n",
+       "       0.00157572, 0.00146426, 0.00103721, 0.00048082, 0.00084033,\n",
+       "       0.00191986, 0.00273682, 0.00319399, 0.00233654, 0.00577101,\n",
+       "       0.00660132, 0.00860021, 0.00133151, 0.00100182, 0.00108081,\n",
+       "       0.0022775 , 0.00917682, 0.00186091, 0.00090838, 0.00049545,\n",
+       "       0.00485712, 0.00660318, 0.00488169, 0.00269385,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Styrene_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001289 1.708e-05 ... 0.002753 nan</div><input id='attrs-0159aa3f-2bce-401b-a045-95fde8d98396' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0159aa3f-2bce-401b-a045-95fde8d98396' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-181aad7c-6893-44fd-9264-764fdfed9fce' class='xr-var-data-in' type='checkbox'><label for='data-181aad7c-6893-44fd-9264-764fdfed9fce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.28947368e-03,  1.70777778e-05, -1.92644444e-04,  4.54614815e-04,\n",
+       "        1.20540741e-03, -4.55759259e-05,  2.44855556e-04, -2.56429630e-04,\n",
+       "        6.19959259e-04,  4.14609259e-04,  4.39329630e-04,  8.72916667e-04,\n",
+       "        1.32410185e-03,  5.73788889e-04,  4.43003704e-04,  9.84927778e-04,\n",
+       "        3.52727273e-03,  3.84035385e-03,  3.18738305e-03,  1.62934364e-03,\n",
+       "        1.87380926e-03,  3.81818364e-03, -6.14243636e-04,  4.19350909e-04,\n",
+       "        1.40100000e-04,  3.93513833e-03,  2.24438309e-02,  2.65363636e-03,\n",
+       "        6.52827273e-04,  1.07323636e-04,  1.19849091e-04,  6.73227273e-03,\n",
+       "        6.97988704e-03,  2.75337321e-03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Benzaldehyde_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.002189 -2.284e-05 ... nan</div><input id='attrs-35d4f791-d4b9-4f48-aed6-cbc4c4cb925e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35d4f791-d4b9-4f48-aed6-cbc4c4cb925e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cc8a6f5-a9e1-441e-b525-33ac7ce4e68c' class='xr-var-data-in' type='checkbox'><label for='data-9cc8a6f5-a9e1-441e-b525-33ac7ce4e68c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.18947368e-03, -2.28388889e-05,  8.58951852e-04,  1.90070556e-03,\n",
+       "        1.91925370e-03,  3.12685185e-03,  2.42050185e-03,  6.91820370e-04,\n",
+       "        1.49797037e-03,  9.77161111e-04, -5.67018519e-05, -4.82400000e-05,\n",
+       "        1.80076481e-03,  1.79689074e-03, -2.15020370e-04, -8.84516667e-04,\n",
+       "        2.81986364e-02,  2.27220942e-02,  1.63007525e-02,  5.80732364e-03,\n",
+       "        1.29767204e-02,  2.18975691e-02, -1.14241818e-04,  8.27272727e-05,\n",
+       "        1.03848545e-03,  2.48201333e-02,  5.14278000e-02,  1.20400000e-02,\n",
+       "        1.70000000e-04, -1.09545455e-04,  2.25758182e-04,  3.39906000e-02,\n",
+       "        3.70191870e-02,  7.78809464e-03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C8Aromatics_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.009821 0.001913 ... 0.02149 nan</div><input id='attrs-d8fd1161-2a59-4be9-b82a-7156f21fa33d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8fd1161-2a59-4be9-b82a-7156f21fa33d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a60f79b0-f4f6-4b53-a181-b5f0b8a98fd3' class='xr-var-data-in' type='checkbox'><label for='data-a60f79b0-f4f6-4b53-a181-b5f0b8a98fd3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.00982105, 0.00191255, 0.00271481, 0.00282672, 0.00450123,\n",
+       "       0.00306214, 0.00281271, 0.00292335, 0.00337413, 0.00354218,\n",
+       "       0.00332334, 0.00335449, 0.00330861, 0.00219835, 0.0018463 ,\n",
+       "       0.00159784, 0.02710364, 0.03511648, 0.02768249, 0.00665651,\n",
+       "       0.01575053, 0.05268625, 0.00105288, 0.00139857, 0.00053384,\n",
+       "       0.04490208, 0.11176964, 0.04732182, 0.0005696 , 0.00125697,\n",
+       "       0.00159879, 0.07846509, 0.10823101, 0.02149464,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C7H8O_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.006089 0.0008084 ... 0.007871 nan</div><input id='attrs-bd8a1ebc-d882-4d4a-8590-1192322eb0e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd8a1ebc-d882-4d4a-8590-1192322eb0e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c4cb80a-fd21-49ee-8b00-ff03ca6f1a95' class='xr-var-data-in' type='checkbox'><label for='data-1c4cb80a-fd21-49ee-8b00-ff03ca6f1a95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 6.08947368e-03,  8.08437037e-04,  7.07814815e-05,  1.24897222e-03,\n",
+       "        9.86331481e-04, -6.68703704e-06,  1.53249444e-03,  1.90673889e-03,\n",
+       "        2.27669074e-03,  7.32511111e-04, -1.06703704e-05,  1.88935000e-04,\n",
+       "        1.41919444e-03,  2.02178148e-03,  1.58642593e-04,  3.13992593e-04,\n",
+       "        7.82318182e-03,  1.31127654e-02,  9.43860678e-03,  9.06352727e-03,\n",
+       "        5.12142778e-03,  1.12579800e-02,  1.32636364e-03,  2.72026000e-03,\n",
+       "        3.87474545e-04,  7.57458333e-03,  2.21553273e-02,  8.13954545e-03,\n",
+       "        2.04141818e-04,  1.55404000e-03,  2.29241818e-04,  1.33633273e-02,\n",
+       "        1.89805556e-02,  7.87103214e-03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Catecholx5MeFurfural_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.006742 -0.002419 ... 0.01953 nan</div><input id='attrs-6ee9e757-23ee-4d42-ae29-b17279285696' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ee9e757-23ee-4d42-ae29-b17279285696' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0d2dd99-fffd-45c3-b9d7-3c39a1388d89' class='xr-var-data-in' type='checkbox'><label for='data-a0d2dd99-fffd-45c3-b9d7-3c39a1388d89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 6.74210526e-03, -2.41934074e-03,  9.47018519e-05,  3.51769444e-03,\n",
+       "        2.36013889e-03,  3.76708148e-03, -1.38891667e-03, -1.04002037e-03,\n",
+       "        3.62695370e-03,  6.11337037e-03,  4.93589074e-03,  3.11453667e-03,\n",
+       "        3.74023333e-03,  4.41710741e-03,  5.21090556e-03,  6.46522593e-03,\n",
+       "        2.75936364e-02,  4.00643077e-02,  2.94421847e-02,  2.70092000e-02,\n",
+       "        2.14441796e-02,  3.67056545e-02,  5.39727818e-03,  5.11285455e-03,\n",
+       "       -1.68585455e-04,  2.27869833e-02,  6.18850000e-02,  2.20186364e-02,\n",
+       "        1.74282727e-03,  7.72712182e-03,  5.67121818e-04,  4.53112182e-02,\n",
+       "        5.14782926e-02,  1.95347214e-02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BenzFuran_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.0002368 -0.0009113 ... nan</div><input id='attrs-66953967-9bd1-4930-ae37-faae0b6766f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66953967-9bd1-4930-ae37-faae0b6766f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4330ab76-6800-4c3c-af80-69028cc2d339' class='xr-var-data-in' type='checkbox'><label for='data-4330ab76-6800-4c3c-af80-69028cc2d339' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-2.36842105e-04, -9.11316667e-04,  9.23370370e-05,  2.85979630e-04,\n",
+       "        3.01174074e-04,  1.65740741e-04, -1.07229630e-03, -5.23405556e-04,\n",
+       "       -6.65431481e-04, -3.58437037e-04, -1.13227778e-04,  2.90416667e-04,\n",
+       "        9.32388889e-05, -6.46611111e-05, -2.25925926e-04,  6.79783333e-04,\n",
+       "        3.12136364e-03,  3.02167308e-03,  3.30301356e-03,  2.76010182e-03,\n",
+       "        2.88835926e-03,  6.00343455e-03,  5.26665455e-04,  2.76623636e-04,\n",
+       "        2.88080000e-04,  3.39162000e-03,  8.06052727e-03,  2.15090909e-03,\n",
+       "        2.79798182e-04, -1.63080000e-04,  4.30909091e-04,  5.35060545e-03,\n",
+       "        6.85303519e-03,  2.83253929e-03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C9Aromatics_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.004016 0.000635 ... 0.004338 nan</div><input id='attrs-070431be-d57c-4535-8b0e-ddd59a0669fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-070431be-d57c-4535-8b0e-ddd59a0669fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e19c29c6-8b85-4b02-a586-2e639849939f' class='xr-var-data-in' type='checkbox'><label for='data-e19c29c6-8b85-4b02-a586-2e639849939f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([4.01578947e-03, 6.34979630e-04, 9.31994444e-04, 1.99171111e-03,\n",
+       "       1.08474444e-03, 2.19804630e-03, 2.06496852e-03, 1.27268519e-03,\n",
+       "       1.35402778e-03, 1.92016481e-03, 2.04171111e-03, 2.37416667e-03,\n",
+       "       2.57986481e-03, 9.43562963e-04, 3.30659259e-04, 8.96348148e-04,\n",
+       "       1.28950000e-02, 1.56442019e-02, 9.81412373e-03, 1.63298000e-03,\n",
+       "       3.78386296e-03, 1.41450491e-02, 1.11257636e-03, 1.21220727e-03,\n",
+       "       1.91909091e-05, 1.17517667e-02, 2.82355818e-02, 1.37040909e-02,\n",
+       "       6.56969091e-04, 9.28889091e-04, 1.18621273e-03, 2.29769636e-02,\n",
+       "       2.72061222e-02, 4.33809464e-03,            nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C6H4O3_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0003737 0.0002436 ... nan</div><input id='attrs-9f274123-aa84-4cc7-8eb6-5836401685b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f274123-aa84-4cc7-8eb6-5836401685b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24e7e62d-1f0e-40c4-b0ef-d0c5d8311249' class='xr-var-data-in' type='checkbox'><label for='data-24e7e62d-1f0e-40c4-b0ef-d0c5d8311249' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.73684211e-04,  2.43620370e-04, -3.87351852e-05,  4.49470370e-04,\n",
+       "        5.46266667e-04,  4.86111111e-05, -6.63453704e-04, -1.50822222e-04,\n",
+       "        2.99972222e-04,  3.44238889e-04,  5.46090741e-04, -4.40463333e-04,\n",
+       "       -5.86390741e-04, -4.47905556e-04,  2.88272222e-04,  6.12148148e-05,\n",
+       "        1.10227273e-03,  1.09487115e-03,  1.13596949e-03,  1.88166727e-03,\n",
+       "        6.57937037e-04,  1.83030364e-03, -2.30000000e-04,  3.13896364e-04,\n",
+       "       -6.24747273e-04,  3.81296667e-04,  2.80824727e-03,  9.09090909e-04,\n",
+       "       -2.98787273e-04, -8.85909091e-04, -5.34854545e-05,  1.53227273e-03,\n",
+       "        1.68369259e-03, -6.46821429e-05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Guaiacol_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.005053 -0.0008002 ... nan</div><input id='attrs-0aba10b6-a1cb-4540-802b-760cf9b2876a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aba10b6-a1cb-4540-802b-760cf9b2876a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81c6da5b-2116-4ffa-b982-1cf262902b3c' class='xr-var-data-in' type='checkbox'><label for='data-81c6da5b-2116-4ffa-b982-1cf262902b3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.05263158e-03, -8.00205556e-04, -3.94957407e-04, -4.15629630e-05,\n",
+       "        1.54556111e-03,  1.34094630e-03,  2.44106481e-03,  5.34875926e-04,\n",
+       "        3.10200000e-04,  1.52921852e-03,  2.17848333e-03,  2.53611167e-03,\n",
+       "        3.54376852e-03,  4.04026111e-03,  1.26769630e-03,  1.39130741e-03,\n",
+       "        1.33040909e-02,  1.81301769e-02,  1.35617695e-02,  8.62873818e-03,\n",
+       "        6.71719630e-03,  1.48438364e-02,  1.82303091e-03,  1.81506545e-03,\n",
+       "        2.46444364e-03,  1.41146333e-02,  2.81185091e-02,  1.08481818e-02,\n",
+       "        1.28000000e-03,  8.82374545e-04,  2.21636364e-03,  2.02540909e-02,\n",
+       "        2.16436222e-02,  7.41765893e-03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Naphthalene_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001389 0.0008183 ... 0.004337 nan</div><input id='attrs-1af3daf0-3857-4bd8-8fbc-e6eb04c983f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1af3daf0-3857-4bd8-8fbc-e6eb04c983f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa5c7bbd-733e-4dc6-977d-382c02d5da5c' class='xr-var-data-in' type='checkbox'><label for='data-aa5c7bbd-733e-4dc6-977d-382c02d5da5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.38947368e-03,  8.18311111e-04, -3.69351852e-05, -5.89124074e-04,\n",
+       "        4.51175926e-04,  5.96912963e-04,  1.13516296e-03,  9.39094444e-04,\n",
+       "        3.37537037e-04, -4.10700000e-04, -2.59848148e-04,  5.05878333e-04,\n",
+       "        4.09346296e-04,  2.93870370e-04,  2.53292593e-04,  8.25103704e-04,\n",
+       "        6.17272727e-03,  9.79185385e-03,  7.09058305e-03,  4.73611091e-03,\n",
+       "        4.06084630e-03,  9.12504000e-03,  8.95914545e-04, -5.74545455e-04,\n",
+       "        1.62242364e-03,  7.67527833e-03,  1.43739636e-02,  5.09727273e-03,\n",
+       "       -6.84949091e-04, -1.68534545e-04,  2.09394545e-04,  9.59181818e-03,\n",
+       "        1.11568926e-02,  4.33670714e-03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Monoterpenes_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01024 -0.003409 ... 0.006627 nan</div><input id='attrs-5774b49d-45d6-4468-8acb-0d91602f0d1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5774b49d-45d6-4468-8acb-0d91602f0d1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc55259e-0a20-4ddb-b181-72e45461838b' class='xr-var-data-in' type='checkbox'><label for='data-cc55259e-0a20-4ddb-b181-72e45461838b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.01023684, -0.00340889,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "        0.00646667,  0.01612182,  0.02614832,  0.02355292,  0.00480525,\n",
+       "        0.00986429,  0.03588061,  0.00153545, -0.00087766, -0.00260555,\n",
+       "        0.01962875,  0.06136215,  0.01516727, -0.00132232, -0.00146849,\n",
+       "       -0.00109122,  0.03243304,  0.03622891,  0.00662718,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cresols_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.004868 -6.173e-05 ... nan</div><input id='attrs-24d9a580-9fe4-44ab-9916-6327f2c21b17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24d9a580-9fe4-44ab-9916-6327f2c21b17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16dfe695-d420-4421-8475-66a1dd1b5f3b' class='xr-var-data-in' type='checkbox'><label for='data-16dfe695-d420-4421-8475-66a1dd1b5f3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 4.86842105e-03, -6.17277778e-05,  1.06810741e-03,  1.53139444e-03,\n",
+       "        2.46907593e-03,  3.01332222e-03,  2.61892963e-03,  6.75051852e-04,\n",
+       "        2.43412963e-03,  2.55349815e-03,  3.43384074e-03,  3.60625000e-03,\n",
+       "        3.41919444e-03,  4.14598704e-03,  2.22222222e-03,  8.27674074e-04,\n",
+       "        8.80590909e-03,  1.18404058e-02,  9.46742034e-03,  3.77813091e-03,\n",
+       "        5.19656111e-03,  1.06458527e-02,  3.16546000e-03,  3.45688364e-03,\n",
+       "        2.26424182e-03,  7.72685000e-03,  1.87653818e-02,  6.65136364e-03,\n",
+       "        5.40505455e-04,  8.91465455e-04,  1.21257636e-03,  1.23754545e-02,\n",
+       "        1.60186722e-02,  5.65873036e-03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Syringol_PTR_WARNEKE&amp;WISTHALER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001958 -0.0002183 ... 0.00212 nan</div><input id='attrs-adaf236e-f69f-4b71-99a4-f6759e9581bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adaf236e-f69f-4b71-99a4-f6759e9581bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a30955f-4fd6-4c90-b4c2-6bdd73de696d' class='xr-var-data-in' type='checkbox'><label for='data-9a30955f-4fd6-4c90-b4c2-6bdd73de696d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.95789474e-03, -2.18312963e-04, -6.87088889e-04,  1.85367593e-03,\n",
+       "        2.00055741e-03,  1.38086296e-03,  9.02035185e-04,  6.10081481e-04,\n",
+       "        6.58053704e-04,  8.96707407e-04,  8.47207407e-04,  2.84955000e-04,\n",
+       "        8.69840741e-04,  1.11940000e-03,  5.38683333e-04,  4.99383333e-04,\n",
+       "        3.48636364e-03,  4.19874808e-03,  3.75461356e-03,  1.47409091e-03,\n",
+       "        1.72513148e-03,  5.01636364e-03,  7.66363636e-04, -4.43116364e-04,\n",
+       "       -3.22727273e-04,  1.98588000e-03,  7.10253273e-03,  2.65454545e-03,\n",
+       "        6.60618182e-05,  2.75909091e-04, -6.46363636e-04,  3.32303091e-03,\n",
+       "        5.20252037e-03,  2.12003929e-03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BrCN_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1101 0.06842 ... 0.2897 nan</div><input id='attrs-0f5bb04a-84e5-4147-808f-ef1d1e145cad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f5bb04a-84e5-4147-808f-ef1d1e145cad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df4506f6-e6a4-48c9-8ba7-f5ff708d0db0' class='xr-var-data-in' type='checkbox'><label for='data-df4506f6-e6a4-48c9-8ba7-f5ff708d0db0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.11007368,  0.06842308,  0.07034707,  0.02365784,  0.1129708 ,\n",
+       "        0.14422044,  0.21875412,  0.15491912,  0.09734412,  0.12233621,\n",
+       "        0.16378235,  0.20379123,  0.22793353,  0.17726115,  0.17633917,\n",
+       "        0.34587686,  0.64189431,  1.02507281,  0.53054855,  0.21021412,\n",
+       "        0.49688193,  0.56599167,  0.2228251 ,  0.11327469,  0.04196034,\n",
+       "        0.31076552,  0.45257843,  0.26615105,  0.10198804,  0.07641293,\n",
+       "       -0.00103   ,  0.24071225,  0.25912619,  0.28973061,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BrCl_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1551 0.02563 ... 0.5062 nan</div><input id='attrs-5a5e8246-457a-4b7c-846b-9c2565b1965e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a5e8246-457a-4b7c-846b-9c2565b1965e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dfc33d9-c3f8-419f-816e-26b43428c707' class='xr-var-data-in' type='checkbox'><label for='data-9dfc33d9-c3f8-419f-816e-26b43428c707' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.15506842,  0.02563269, -0.07152012, -0.10206471, -0.13548765,\n",
+       "       -0.10398454, -0.06890188, -0.03188421, -0.00970588, -0.08788793,\n",
+       "       -0.15588039, -0.11992632, -0.09644378, -0.12248596, -0.08605531,\n",
+       "        0.10860392,  0.71202603,  0.61927895,  0.49196727,  0.16915196,\n",
+       "        0.47718667,  0.44277981,  0.43512725,  0.55337463,  0.59598793,\n",
+       "        0.63527586,  0.60935784,  0.57332193,  0.59786389,  0.7131107 ,\n",
+       "        0.44394842,  0.67988373,  0.62730193,  0.50624694,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BrO_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02246 0.04381 ... 0.03047 nan</div><input id='attrs-2959d31d-0ce5-422f-a651-155b1c1ba814' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2959d31d-0ce5-422f-a651-155b1c1ba814' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7271f448-3e9d-49eb-bb7c-d759867adeb0' class='xr-var-data-in' type='checkbox'><label for='data-7271f448-3e9d-49eb-bb7c-d759867adeb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.02246316,  0.04381346,  0.00059017, -0.06435392, -0.14930569,\n",
+       "       -0.09377761,  0.03827333,  0.06342533,  0.0412    , -0.02359655,\n",
+       "       -0.04433661,  0.00517018,  0.06758059,  0.04143198,  0.04244357,\n",
+       "        0.06368284,  0.15323152,  0.19993333,  0.16577213,  0.10284902,\n",
+       "        0.1354407 ,  0.16733069,  0.1221449 ,  0.01773102, -0.08812069,\n",
+       "       -0.20347931, -0.10771471, -0.0015614 ,  0.05319409,  0.02851877,\n",
+       "       -0.02489518,  0.06827304,  0.1226293 ,  0.03047143,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3COOCl_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5978 0.1827 -0.2048 ... 1.571 nan</div><input id='attrs-228691f8-54ce-4753-b2a6-99a845fc17a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-228691f8-54ce-4753-b2a6-99a845fc17a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cd8bfae-e0b2-4b96-bb7b-094c09999175' class='xr-var-data-in' type='checkbox'><label for='data-3cd8bfae-e0b2-4b96-bb7b-094c09999175' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.59778947,  0.18267885, -0.20482983, -0.33026961, -0.27263294,\n",
+       "       -0.22961185, -0.20891157, -0.14772807, -0.07445784, -0.09562931,\n",
+       "       -0.1297451 , -0.13199474, -0.1213878 , -0.12095567, -0.12937019,\n",
+       "        0.49367412,  1.54707155,  2.22368333,  1.41145273,  0.93547431,\n",
+       "        1.40774105,  1.53005944,  0.35323373,  1.22570889,  0.72274483,\n",
+       "        1.05904483,  2.04136078,  0.90880298,  1.05728722,  1.04160737,\n",
+       "        0.38212298,  1.81760784,  1.95774561,  1.57121224,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cl2_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.05603 0.0283 ... 0.522 nan</div><input id='attrs-6aa816f2-db11-4c80-bf01-e6717b1ce474' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aa816f2-db11-4c80-bf01-e6717b1ce474' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85a3de44-9199-4386-928c-a6e9a1870626' class='xr-var-data-in' type='checkbox'><label for='data-85a3de44-9199-4386-928c-a6e9a1870626' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.05603158,  0.02830192, -0.1131316 , -0.12296667, -0.1242298 ,\n",
+       "       -0.10177335, -0.12153092, -0.11040468, -0.0840549 , -0.09961897,\n",
+       "       -0.09963667, -0.07748596, -0.01976275, -0.11546846, -0.09862381,\n",
+       "        0.09730588,  0.24629638,  0.28206579,  0.24611455,  0.19643   ,\n",
+       "        0.30225596,  0.24591537,  0.1628649 ,  1.15759963,  0.86317759,\n",
+       "        0.40275517,  0.54631373,  0.3250414 ,  0.96276376,  1.8584286 ,\n",
+       "        0.305985  ,  0.63371176,  0.68909018,  0.52204694,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ClNO2_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.128 0.07761 ... 0.2739 nan</div><input id='attrs-9491a7cc-d196-40a8-ac15-43a09b67c58f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9491a7cc-d196-40a8-ac15-43a09b67c58f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-801e6dda-d288-49e3-b266-78f35b83bc33' class='xr-var-data-in' type='checkbox'><label for='data-801e6dda-d288-49e3-b266-78f35b83bc33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.12802632, 0.07761275, 0.08516034, 0.25780192, 0.20923654,\n",
+       "       0.28793852, 0.3224302 , 0.22791632, 0.27436235, 0.25669737,\n",
+       "       0.24610385, 0.23572586, 0.18537442, 0.04654808, 0.04297191,\n",
+       "       0.11145071, 0.14685805, 0.29814776, 0.15496346, 0.08125992,\n",
+       "       0.17182086, 0.29023883, 0.06802598, 0.22774935, 0.17725172,\n",
+       "       0.35761466, 0.64891673, 0.29172982, 0.194219  , 0.26242351,\n",
+       "       0.08804018, 0.69747863, 0.69982877, 0.2738598 ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCN_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>103.6 104.5 111.2 ... 166.4 nan</div><input id='attrs-3f2bd8cf-7e60-42fa-9204-4810c26831de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f2bd8cf-7e60-42fa-9204-4810c26831de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8677ab9c-a843-4b29-b288-354b9fe53862' class='xr-var-data-in' type='checkbox'><label for='data-8677ab9c-a843-4b29-b288-354b9fe53862' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([103.60631579, 104.45980769, 111.21385   , 100.93362745,\n",
+       "        96.61400784, 108.17497222, 118.06334118, 171.55573158,\n",
+       "       201.57009804, 213.32724138, 251.64823529, 285.08263158,\n",
+       "       298.0661    , 208.19875769, 229.23016792, 538.46176471,\n",
+       "       761.7775    , 908.06070175, 748.63527273, 902.73401961,\n",
+       "       696.92440526, 688.53644074, 291.1555451 , 165.91280926,\n",
+       "       174.15362069, 307.69491379, 484.41941176, 264.23430702,\n",
+       "       109.85930556,  67.8070614 , 231.93836491, 295.37470588,\n",
+       "       256.22973684, 166.37102041,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCOOH_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>777.3 536.2 225.2 ... 1.783e+03 nan</div><input id='attrs-8faefd33-ed96-497a-aca5-1ac3c448f134' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8faefd33-ed96-497a-aca5-1ac3c448f134' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eebd712a-857a-4581-adf8-c1f1ac700f39' class='xr-var-data-in' type='checkbox'><label for='data-eebd712a-857a-4581-adf8-c1f1ac700f39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 7.77251053e+02,  5.36224615e+02,  2.25160288e+02, -4.34618627e+01,\n",
+       "       -1.02616118e+01, -2.16627778e+01,             nan,             nan,\n",
+       "                   nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan,             nan,  1.74847220e+03,\n",
+       "        8.19669034e+03,  1.18329686e+04,  8.42328218e+03,  4.79851490e+03,\n",
+       "        4.51803351e+03,  4.45769704e+03,  7.01671339e+02,  1.15636319e+03,\n",
+       "        6.77012241e+02,  1.98812414e+03,  3.68719020e+03,  1.20192263e+03,\n",
+       "        5.72389993e+02,  5.01698070e+02,  5.34696511e+02,  2.21768412e+03,\n",
+       "        1.83556561e+03,  1.78289163e+03,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HNCO_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>193.6 171.9 177.5 ... 425.7 nan</div><input id='attrs-33987046-401e-439b-814e-d7fe03787840' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33987046-401e-439b-814e-d7fe03787840' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd53f3dd-d5d8-492b-ba99-8704a1694738' class='xr-var-data-in' type='checkbox'><label for='data-dd53f3dd-d5d8-492b-ba99-8704a1694738' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 193.58000526,  171.86057647,  177.46527759,  206.82914038,\n",
+       "        204.63037308,  198.05183333,  187.5179    ,  198.49158772,\n",
+       "        215.70601176,  245.14242281,  261.44612308,  203.1527431 ,\n",
+       "        160.62911731,   57.64875962,   95.52724906,  420.6586    ,\n",
+       "        721.11381897, 1019.63076552,  821.93981731,  800.71218235,\n",
+       "        746.5206807 ,  850.34562037,  287.59807255,  234.75486739,\n",
+       "        167.72420172,  435.32888793,  789.45200192,  330.63317895,\n",
+       "        120.32677037,   68.66367544,  263.07461404,  526.00301569,\n",
+       "        481.38606491,  425.69446531,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HPMTF_NOAACIMS_VERES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-92640c89-262d-483a-b429-d765097dd793' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92640c89-262d-483a-b429-d765097dd793' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d122714f-9b51-4c75-9ff9-7f3140c907ea' class='xr-var-data-in' type='checkbox'><label for='data-d122714f-9b51-4c75-9ff9-7f3140c907ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppt</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan, 94.91745667, 47.42213957,\n",
+       "               nan,         nan,         nan, 64.44204634, 53.34923684,\n",
+       "        3.65618529,         nan,         nan,         nan,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BUTENE-HN-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.03 0.08379 0.09268 ... nan nan</div><input id='attrs-c559a72b-c6a8-4169-9737-9e690b2a5142' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c559a72b-c6a8-4169-9737-9e690b2a5142' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39c26fd7-eed6-4f99-8a9b-03738f37423d' class='xr-var-data-in' type='checkbox'><label for='data-39c26fd7-eed6-4f99-8a9b-03738f37423d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.03000000e+00,  8.37916667e-02,  9.26757143e-02,  1.55850347e-01,\n",
+       "        6.21088367e-01,  6.09387755e-01,  6.13373061e-01,  4.86967966e-01,\n",
+       "        3.90800000e-01,  4.37204367e-01,  4.60800000e-01,  3.96647286e-01,\n",
+       "        3.04355600e-01,  2.78834579e-01,  3.36810115e-01,  2.93750000e-01,\n",
+       "        3.87153061e+00,  7.45583344e+00,  3.69492714e+00,  1.53153061e+00,\n",
+       "        3.75428571e+00,  5.75035071e+00, -5.15722642e-03,  2.48291837e-03,\n",
+       "       -1.50204082e-01,  3.96642857e+00,  9.16535000e+00,  3.73966278e+00,\n",
+       "       -1.61618182e-03, -1.17494286e-01,  3.14285714e-01,  6.87578224e+00,\n",
+       "        9.94473585e+00,             nan,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BUTENE-HP-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.075 0.9798 0.3781 ... nan nan</div><input id='attrs-127ebd42-3dfe-40a3-8510-48e778238213' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-127ebd42-3dfe-40a3-8510-48e778238213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-947386a1-462c-45f6-a6a5-508de41596d3' class='xr-var-data-in' type='checkbox'><label for='data-947386a1-462c-45f6-a6a5-508de41596d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.07527750e+00,  9.79791667e-01,  3.78111429e-01,  2.15306122e-04,\n",
+       "        2.34761898e-01,  1.64200612e-01,  2.54620204e-01,  3.59792881e-01,\n",
+       "        9.81000000e-02,  1.28863265e-02, -2.45000000e-03,  5.63265306e-02,\n",
+       "        2.07111200e-01,  2.16347193e-01,  8.35286538e-02, -6.76300000e-01,\n",
+       "        2.26469388e+00,  4.44802094e+00,  3.15961643e+00,  1.16193878e+00,\n",
+       "        2.80642857e+00,  3.75251911e+00, -8.16351509e-02, -6.49404755e-01,\n",
+       "       -3.87142857e-01,  2.17178571e+00,  5.48305000e+00,  2.06683870e+00,\n",
+       "        1.30505091e-02, -6.49359388e-01,  5.95561224e-01,  3.91217694e+00,\n",
+       "        4.17148366e+00,             nan,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ETHENE-HN-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.15 0.3814 0.06784 ... nan nan</div><input id='attrs-d9d85eef-8f3b-4cb0-a068-6ddc02e3a527' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9d85eef-8f3b-4cb0-a068-6ddc02e3a527' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14874e62-4904-4322-bd70-9370229b2f71' class='xr-var-data-in' type='checkbox'><label for='data-14874e62-4904-4322-bd70-9370229b2f71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.15      ,  0.38141667,  0.06784265,  0.14242637,  0.19421776,\n",
+       "        0.26011918,  0.40977327,  0.50094169,  0.41575   ,  0.40361837,\n",
+       "        0.13725   ,  0.27839633,  0.4542888 ,  0.26644105, -0.05776558,\n",
+       "       -0.21925   ,  2.37733   ,  5.194375  ,  2.67040333,  0.75903061,\n",
+       "        2.81785714,  4.07110339,  0.04605868, -0.49743776, -0.40989796,\n",
+       "        2.28887755,  6.27725   ,  2.22132278, -0.45333327, -0.35630959,\n",
+       "        0.07365653,  4.99517   ,  6.23786585,         nan,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ETHENE-HP-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.942 0.3442 -0.1145 ... nan nan</div><input id='attrs-84a42caf-a53f-41bb-af6e-a6929d1425a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84a42caf-a53f-41bb-af6e-a6929d1425a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeb26fd1-8dc7-4f2d-b15c-187dafdbfd42' class='xr-var-data-in' type='checkbox'><label for='data-eeb26fd1-8dc7-4f2d-b15c-187dafdbfd42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.94166667e+00,  3.44166667e-01, -1.14470265e-01, -1.74467143e-01,\n",
+       "        3.78095306e-01,  6.15748367e-01,  1.04138776e-02,  1.65442559e-01,\n",
+       "        3.07000000e-02,  5.23028959e-01,  4.28350000e-01,  4.51924082e-01,\n",
+       "        5.85400000e-01,  2.47781930e-01,  3.88125000e-02,  3.16940000e+00,\n",
+       "        1.94917510e+01,  2.90145844e+01,  1.33944833e+01,  7.35040816e+00,\n",
+       "        1.81621429e+01,  1.95329082e+01, -4.06477925e-01, -9.02329796e-01,\n",
+       "       -5.79693878e-01,  7.15489796e+00,  1.88081500e+01,  4.77371037e+00,\n",
+       "       -1.39444436e+00, -1.67293082e+00,  1.88579939e+00,  1.32768694e+01,\n",
+       "        1.38436585e+01,             nan,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHENOL-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.199 -1.659 0.4725 ... nan nan</div><input id='attrs-f4cefcd6-7598-4f7e-875d-c7d93479aa31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4cefcd6-7598-4f7e-875d-c7d93479aa31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-280faf21-7ffb-4db4-93bc-171279d5ca10' class='xr-var-data-in' type='checkbox'><label for='data-280faf21-7ffb-4db4-93bc-171279d5ca10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-2.19861083, -1.659375  ,  0.47245204,  0.56164388,  0.17734694,\n",
+       "        0.29360531, -0.52672343,  0.42924678, -0.0576    , -0.1519502 ,\n",
+       "        0.19565   ,  0.46107878,  0.6602666 ,  0.68961772,  0.11640404,\n",
+       "        1.65135   , 10.48151367, 17.89364687, 11.68724286,  9.37178571,\n",
+       "        9.23571429,  8.70828446,  1.89140453,  0.36459184,  1.32056122,\n",
+       "        7.52760204, 12.634     ,  4.6393387 ,  0.06088891, -2.34600898,\n",
+       "        1.15644551,  9.81129184, 11.57613829,         nan,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2O2-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>762.0 818.7 238.5 ... 741.4 nan nan</div><input id='attrs-10301788-01b1-426f-87fe-ac5b11e54fa6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10301788-01b1-426f-87fe-ac5b11e54fa6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b2ff032-9b5c-4e10-839a-531e2905633c' class='xr-var-data-in' type='checkbox'><label for='data-0b2ff032-9b5c-4e10-839a-531e2905633c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([7.61984167e+02, 8.18710333e+02, 2.38521261e+02, 3.70387980e+01,\n",
+       "       3.33125857e+01, 1.67085884e+01, 1.32645749e+01, 1.80621661e+01,\n",
+       "       7.00000000e-01, 1.33702716e+01, 2.04418000e+01, 7.04912531e+00,\n",
+       "       2.13188880e+00, 3.65988965e+01, 6.36113654e+01, 1.04519440e+03,\n",
+       "       1.04737122e+03, 1.22072000e+03, 1.27957738e+03, 1.28095163e+03,\n",
+       "       1.37067571e+03, 1.31507214e+03, 1.21218497e+03, 7.22261990e+02,\n",
+       "       9.97659388e+02, 1.00800929e+03, 9.79860050e+02, 8.97307315e+02,\n",
+       "       7.69843960e+02, 6.28374818e+02, 1.26915531e+03, 9.09797414e+02,\n",
+       "       7.41365102e+02,            nan,            nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ISOPN-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.586 0.241 0.1934 ... 29.5 nan nan</div><input id='attrs-11e55f9f-c97b-4a30-a755-7567ea8f0b83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11e55f9f-c97b-4a30-a755-7567ea8f0b83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccd1c57d-542d-41c1-9195-30020e2f5727' class='xr-var-data-in' type='checkbox'><label for='data-ccd1c57d-542d-41c1-9195-30020e2f5727' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 3.58638917e+00,  2.41041667e-01,  1.93407959e-01,  7.87981837e-02,\n",
+       "        2.41020408e-01,  2.61003265e-01,  1.97602041e-01,  1.98493390e-01,\n",
+       "        1.30150000e-01,  1.70955612e-01,  3.92500000e-01,  5.84664694e-01,\n",
+       "        5.29444400e-01,  3.64981228e-01,  4.09383269e-01,  7.66000000e-01,\n",
+       "        8.37588429e+00,  7.97770844e+00,  9.09811500e+00,  3.38586735e+00,\n",
+       "        4.38428571e+00,  1.35624298e+01, -3.41090566e-02,  1.77777755e-01,\n",
+       "        1.93571429e-01,  1.41387755e+01,  2.14821500e+01,  1.22783796e+01,\n",
+       "       -2.00606000e-02,  1.11757367e-01,  1.27108776e-01,  1.73287755e+01,\n",
+       "        2.95049585e+01,             nan,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROPENE-HN-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6997 0.2188 0.09823 ... nan nan</div><input id='attrs-522dcd3d-f7d3-41b8-a9ca-f0873ef22d21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-522dcd3d-f7d3-41b8-a9ca-f0873ef22d21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e12de60-3c8a-4f39-9860-ca6328dcf0dc' class='xr-var-data-in' type='checkbox'><label for='data-8e12de60-3c8a-4f39-9860-ca6328dcf0dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.6997225 ,  0.21883333,  0.09823457,  0.12954647,  0.39149653,\n",
+       "        0.12057837,  0.01091837,  0.24745763,  0.40015   ,  0.36681898,\n",
+       "        0.3772    ,  0.30976694,  0.2976    ,  0.26743735,  0.27585769,\n",
+       "        0.17645   ,  2.92773816,  6.46510406,  2.21152786,  0.75326531,\n",
+       "        2.06857143,  2.9540625 , -0.11587   ,  0.02970531, -0.07005102,\n",
+       "        2.18188776,  5.1151    ,  1.95570111, -0.15856564, -0.3183049 ,\n",
+       "        0.13544224,  3.84802714,  5.2083739 ,         nan,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROPENE-HP-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.744 -0.993 -1.143 ... nan nan</div><input id='attrs-003d43e0-59b4-40a9-8083-9345fcef7a55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-003d43e0-59b4-40a9-8083-9345fcef7a55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc90d178-ae6c-4b5c-9a46-50a67c25fde2' class='xr-var-data-in' type='checkbox'><label for='data-bc90d178-ae6c-4b5c-9a46-50a67c25fde2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 8.74444167, -0.99295833, -1.14266918, -1.26989796, -0.44455776,\n",
+       "       -0.49811218, -0.76994898, -0.18291898, -0.7063    , -0.15307082,\n",
+       "        0.2813    , -0.14906714,  0.0798444 , -0.04048246, -0.64308308,\n",
+       "        0.9557    , 12.30719388, 20.56145937, 12.66970952,  1.54336735,\n",
+       "        3.72      ,  9.59045911,  0.31385736,  0.14096945, -1.88923469,\n",
+       "        7.37642857, 13.96315   ,  4.54383593,  0.09389891, -5.75291388,\n",
+       "       -1.45729592, 12.20748367, 16.05414634,         nan,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HCN-1Hz_CIT_WENNBERG</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>143.1 159.9 163.3 ... 334.3 nan nan</div><input id='attrs-31c2ea0b-e970-4f4a-895b-1908d9296ffe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31c2ea0b-e970-4f4a-895b-1908d9296ffe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b074d335-dc25-4789-baa9-59623cf6e97f' class='xr-var-data-in' type='checkbox'><label for='data-b074d335-dc25-4789-baa9-59623cf6e97f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([143.134725  , 159.89933333, 163.30556939, 169.36480612,\n",
+       "       169.1461898 , 160.63244898, 151.01134898, 162.23858814,\n",
+       "       161.70845   , 184.78341224, 199.7572    , 177.34781429,\n",
+       "       163.087688  , 104.33405439, 105.17977308, 205.88945   ,\n",
+       "       253.43537347, 297.448125  , 240.28747381, 307.73653061,\n",
+       "       334.85642857, 340.8506125 , 166.49815472,  68.67379796,\n",
+       "       120.25260204, 215.51117347, 373.12435   , 213.93186481,\n",
+       "        89.33139455,  52.64137143, 205.15168367, 287.10680204,\n",
+       "       334.27719512,          nan,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SO2_LIF_ROLLINS</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>99.01 63.28 8.33 ... 206.8 nan</div><input id='attrs-c8d7fe7e-c49b-474e-bcf4-40ea2b4de162' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8d7fe7e-c49b-474e-bcf4-40ea2b4de162' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6318d511-f67b-4029-b93c-e7458d1174e9' class='xr-var-data-in' type='checkbox'><label for='data-6318d511-f67b-4029-b93c-e7458d1174e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pptv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([  99.01197143,   63.28117585,    8.3296465 ,   25.030645  ,\n",
+       "         21.31674817,   24.22308017,   14.34198517,   13.447291  ,\n",
+       "         18.201107  ,   14.1317871 ,   22.597437  ,   23.639868  ,\n",
+       "         20.66281967,   16.68778383,    8.77085267,   85.06909122,\n",
+       "        693.4120695 , 1816.1515    ,  995.507     ,  252.98407333,\n",
+       "        357.36284083,  445.69549667,   49.1853925 ,  277.65959   ,\n",
+       "        180.57548   ,  224.26142833,  467.76039167,  314.83552133,\n",
+       "        228.6166765 ,  328.73325   ,   63.88910833,  414.33164167,\n",
+       "        635.73497167,  206.7920275 ,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH3COCHO_ACES_WOMACK</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.191 0.5601 0.636 ... 0.1907 nan</div><input id='attrs-92414815-c46e-4f9c-80e9-1b96e8180ec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92414815-c46e-4f9c-80e9-1b96e8180ec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8792949a-7797-4ec1-aa36-ffb1b851bf6a' class='xr-var-data-in' type='checkbox'><label for='data-8792949a-7797-4ec1-aa36-ffb1b851bf6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.19076471,  0.56005907,  0.636     ,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "       -0.32009586,  0.9629081 ,  0.66853448,  0.84134483,  0.59251774,\n",
+       "        0.64591138,  0.62580052,  0.42616017,  0.50637931,  0.06611103,\n",
+       "        0.50807667,  0.65531034,  0.55393103,  0.4087069 ,  0.44247414,\n",
+       "        0.11574685,  0.59258621,  0.82368379,  0.19068962,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHOCHO_ACES_WOMACK</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.05059 -0.08229 ... 0.04948 nan</div><input id='attrs-61168ede-ec79-4610-8c06-6bdb231f20a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61168ede-ec79-4610-8c06-6bdb231f20a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d10e54b-76f6-47c7-ab49-2e5296bbaa40' class='xr-var-data-in' type='checkbox'><label for='data-4d10e54b-76f6-47c7-ab49-2e5296bbaa40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ppbv</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-0.05058824, -0.08228835, -0.083     ,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "        0.03723372, -0.00563793,  0.00447702, -0.00857636,  0.01451572,\n",
+       "       -0.03887431,  0.05014293,  0.03232019, -0.02939655, -0.03431944,\n",
+       "        0.01460185,  0.14577586,  0.05435345, -0.05452586, -0.03059483,\n",
+       "       -0.05546907,  0.11040229,  0.06290805,  0.04947802,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CNgt3nm_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-658938ab-21da-46b0-ba0d-787a3c2a3408' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-658938ab-21da-46b0-ba0d-787a3c2a3408' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f8308bd-5cc2-4034-8c4a-51efbc6e93ab' class='xr-var-data-in' type='checkbox'><label for='data-5f8308bd-5cc2-4034-8c4a-51efbc6e93ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CNgt6nm_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9b36c4ef-f805-4da9-9af1-059e5c31b46f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b36c4ef-f805-4da9-9af1-059e5c31b46f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a81fd4ce-0eeb-4b32-bcc3-136fb5c026f9' class='xr-var-data-in' type='checkbox'><label for='data-a81fd4ce-0eeb-4b32-bcc3-136fb5c026f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CNgt20nm_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-314a9b37-8bb2-4fac-ab27-c6c3877b8334' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-314a9b37-8bb2-4fac-ab27-c6c3877b8334' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a899d4c-bea4-4ba4-9cd8-9e6275dd1334' class='xr-var-data-in' type='checkbox'><label for='data-5a899d4c-bea4-4ba4-9cd8-9e6275dd1334' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CNgt20nm_nonvol_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-506de5be-87bc-4cb1-8752-354c71f85e78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-506de5be-87bc-4cb1-8752-354c71f85e78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1effab1-9f15-4bcb-87ed-e339dc6b349d' class='xr-var-data-in' type='checkbox'><label for='data-e1effab1-9f15-4bcb-87ed-e339dc6b349d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ngt100nm_LAS_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e609abcf-9426-4ec7-85c9-86f8f08aadc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e609abcf-9426-4ec7-85c9-86f8f08aadc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-502ff2dc-269b-484c-97e2-afca17767faf' class='xr-var-data-in' type='checkbox'><label for='data-502ff2dc-269b-484c-97e2-afca17767faf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ngt100nm_LAS_nonvol_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d484ccb0-78e8-4dc6-844c-d793c6d25c10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d484ccb0-78e8-4dc6-844c-d793c6d25c10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48efc2d4-1998-4976-96c0-278d0f4d8d20' class='xr-var-data-in' type='checkbox'><label for='data-48efc2d4-1998-4976-96c0-278d0f4d8d20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CCN_034_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-47bdd5a0-20d1-459d-b4de-4fb90cf47803' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47bdd5a0-20d1-459d-b4de-4fb90cf47803' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d825bf69-a35f-44da-b607-733517460a22' class='xr-var-data-in' type='checkbox'><label for='data-d825bf69-a35f-44da-b607-733517460a22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>N_800to50000nm_CPSPD_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-76ba5fd7-622a-41ca-af93-70e198fa310b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76ba5fd7-622a-41ca-af93-70e198fa310b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0016edae-c701-4853-837a-82af07fd6e5a' class='xr-var-data-in' type='checkbox'><label for='data-0016edae-c701-4853-837a-82af07fd6e5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_800to50000nm_CPSPD_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-72fa1f01-9264-46ec-a74d-649dedda79ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72fa1f01-9264-46ec-a74d-649dedda79ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1c88e3e-77f0-4563-8e00-602846d98798' class='xr-var-data-in' type='checkbox'><label for='data-e1c88e3e-77f0-4563-8e00-602846d98798' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>N_2000to50000nm_CDP_ambPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-00e712ec-821f-4a6f-947d-88ab0521c204' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00e712ec-821f-4a6f-947d-88ab0521c204' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-becd0586-eb06-4e20-ac88-795facb45860' class='xr-var-data-in' type='checkbox'><label for='data-becd0586-eb06-4e20-ac88-795facb45860' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_2000to50000nm_CDP_ambPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ada52577-dd0e-4e78-a22a-e459307b1e82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ada52577-dd0e-4e78-a22a-e459307b1e82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e0b2ec4-7ddd-475e-9d20-84a58b2bf9e4' class='xr-var-data-in' type='checkbox'><label for='data-0e0b2ec4-7ddd-475e-9d20-84a58b2bf9e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nSMPS_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-97059e65-a893-4922-96ea-700013cb1619' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97059e65-a893-4922-96ea-700013cb1619' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b2cc417-68e2-486a-a2b8-774a19caba60' class='xr-var-data-in' type='checkbox'><label for='data-4b2cc417-68e2-486a-a2b8-774a19caba60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sSMPS_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7e01cd38-dc85-4c1c-acbd-da532c61b75f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e01cd38-dc85-4c1c-acbd-da532c61b75f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77fe6996-020e-4de1-a50d-22c0c4fa8b95' class='xr-var-data-in' type='checkbox'><label for='data-77fe6996-020e-4de1-a50d-22c0c4fa8b95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vSMPS_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-567a5ff0-fdbb-4130-b8da-68aa79a1ae02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-567a5ff0-fdbb-4130-b8da-68aa79a1ae02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab5dde4c-996a-4e83-9ccb-88f4aacc0d29' class='xr-var-data-in' type='checkbox'><label for='data-ab5dde4c-996a-4e83-9ccb-88f4aacc0d29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nLAScold_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-f24e5bfd-92b3-4117-9a89-dbc0b6ea92d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f24e5bfd-92b3-4117-9a89-dbc0b6ea92d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2560c468-c7ac-435e-8519-f228871e7a90' class='xr-var-data-in' type='checkbox'><label for='data-2560c468-c7ac-435e-8519-f228871e7a90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nLAShot_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-899d3a20-56f8-4c07-9ebf-c717172cc365' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-899d3a20-56f8-4c07-9ebf-c717172cc365' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8472dc2a-f9b6-4d25-b083-5afd8381e928' class='xr-var-data-in' type='checkbox'><label for='data-8472dc2a-f9b6-4d25-b083-5afd8381e928' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>totSC450_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-23ec44a9-f51e-4b58-bbd3-14b53302e4ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23ec44a9-f51e-4b58-bbd3-14b53302e4ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-598b6c1b-f24c-4c2d-a5f4-831d602a670e' class='xr-var-data-in' type='checkbox'><label for='data-598b6c1b-f24c-4c2d-a5f4-831d602a670e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>totSC550_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-98dbee83-5aa5-43c4-b79d-d9e83a582114' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98dbee83-5aa5-43c4-b79d-d9e83a582114' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14bed7d2-da78-4d80-8c17-83da9748c7b8' class='xr-var-data-in' type='checkbox'><label for='data-14bed7d2-da78-4d80-8c17-83da9748c7b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>totSC700_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-3a0994e7-636a-4459-a41f-9d1be7875757' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a0994e7-636a-4459-a41f-9d1be7875757' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1560015-99c0-4281-bc3d-55e0a6e1a8ae' class='xr-var-data-in' type='checkbox'><label for='data-c1560015-99c0-4281-bc3d-55e0a6e1a8ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Abs470_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-93a72ff3-ebd9-473e-89a5-640f96d510df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93a72ff3-ebd9-473e-89a5-640f96d510df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-333a9976-a4f7-475d-8d06-03a5d9c7f034' class='xr-var-data-in' type='checkbox'><label for='data-333a9976-a4f7-475d-8d06-03a5d9c7f034' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Abs532_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7d3bf112-5a76-4338-a224-9ef443e0e12a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d3bf112-5a76-4338-a224-9ef443e0e12a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cc6e502-330d-4a63-95be-43d62f60c34b' class='xr-var-data-in' type='checkbox'><label for='data-1cc6e502-330d-4a63-95be-43d62f60c34b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Abs660_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-cf04b7d1-f3e2-42d7-be27-ea8bfc1719d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf04b7d1-f3e2-42d7-be27-ea8bfc1719d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0db896ec-2b8b-408f-992e-bc05980f8b3a' class='xr-var-data-in' type='checkbox'><label for='data-0db896ec-2b8b-408f-992e-bc05980f8b3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma450_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-3c61a977-6d82-4851-a8dd-87020057ab46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c61a977-6d82-4851-a8dd-87020057ab46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07a55a62-95ee-4da6-8ecb-e2d100b52d8d' class='xr-var-data-in' type='checkbox'><label for='data-07a55a62-95ee-4da6-8ecb-e2d100b52d8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma550_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-83bf5166-8ed8-42b5-bc38-09c3feffe6a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83bf5166-8ed8-42b5-bc38-09c3feffe6a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-721cd62b-e32c-47f2-8faf-da1d00c98b44' class='xr-var-data-in' type='checkbox'><label for='data-721cd62b-e32c-47f2-8faf-da1d00c98b44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma700_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-03ce5b5a-5442-41d4-a108-f299ed1f6c2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03ce5b5a-5442-41d4-a108-f299ed1f6c2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e32750ba-a11b-46ef-860a-8a00c9b5954e' class='xr-var-data-in' type='checkbox'><label for='data-e32750ba-a11b-46ef-860a-8a00c9b5954e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fRH450_RH20to85_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1ed101ad-0bde-437e-957f-0b7a74f03d6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ed101ad-0bde-437e-957f-0b7a74f03d6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e817e54d-25fc-45b4-b934-8f5f1eca3c7f' class='xr-var-data-in' type='checkbox'><label for='data-e817e54d-25fc-45b4-b934-8f5f1eca3c7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fRH550_RH20to85_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-72ac6105-bda5-4ad9-a81e-c5997a452a43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72ac6105-bda5-4ad9-a81e-c5997a452a43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57036b97-a2a6-4dcb-8328-98bb9dbc90bf' class='xr-var-data-in' type='checkbox'><label for='data-57036b97-a2a6-4dcb-8328-98bb9dbc90bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fRH700_RH20to85_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-21c4947e-0b4f-4340-86b1-03d4196638b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21c4947e-0b4f-4340-86b1-03d4196638b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2b5bd3c-9d5f-48ba-9145-7d0053ceed07' class='xr-var-data-in' type='checkbox'><label for='data-b2b5bd3c-9d5f-48ba-9145-7d0053ceed07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ambSC450_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-4a49a500-bf7c-4d27-8aaa-93a1414da7bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a49a500-bf7c-4d27-8aaa-93a1414da7bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78a983d0-6276-464c-8668-0f23d8928920' class='xr-var-data-in' type='checkbox'><label for='data-78a983d0-6276-464c-8668-0f23d8928920' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ambSC550_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-3cdba300-8027-432d-9f18-cab69d8cc93c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cdba300-8027-432d-9f18-cab69d8cc93c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a1f5cb4-15d2-4e0d-8d2a-db377d0fb739' class='xr-var-data-in' type='checkbox'><label for='data-0a1f5cb4-15d2-4e0d-8d2a-db377d0fb739' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ambSC700_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-c844cbd0-2193-4819-adf7-da5bf05e66a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c844cbd0-2193-4819-adf7-da5bf05e66a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56f8032c-4650-46e6-8301-9486af6f8fa3' class='xr-var-data-in' type='checkbox'><label for='data-56f8032c-4650-46e6-8301-9486af6f8fa3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dryAEscat_550to700_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0452d021-c80e-4545-b5d9-73466b204dfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0452d021-c80e-4545-b5d9-73466b204dfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30606517-b3f0-48da-90a8-0cb35ee028cb' class='xr-var-data-in' type='checkbox'><label for='data-30606517-b3f0-48da-90a8-0cb35ee028cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drySSA_450_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-c4e63b88-9885-4096-87bc-ee61163a6644' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4e63b88-9885-4096-87bc-ee61163a6644' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97a8cade-26d9-4973-9759-0618789b6908' class='xr-var-data-in' type='checkbox'><label for='data-97a8cade-26d9-4973-9759-0618789b6908' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drySSA_550_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ef157ba3-c10a-44eb-937d-61f50945c85d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef157ba3-c10a-44eb-937d-61f50945c85d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3ad0047-6a65-4fe5-9dce-9f11d3c5f4f7' class='xr-var-data-in' type='checkbox'><label for='data-d3ad0047-6a65-4fe5-9dce-9f11d3c5f4f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drySSA_700_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a6c9c2ea-032e-414b-8aa7-2b61a32093f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6c9c2ea-032e-414b-8aa7-2b61a32093f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-555ddf51-9d1c-4b81-84af-e42e1869074f' class='xr-var-data-in' type='checkbox'><label for='data-555ddf51-9d1c-4b81-84af-e42e1869074f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ambSSA_450_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-cc31af13-01f8-48fa-90cb-ee0a0db72f48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc31af13-01f8-48fa-90cb-ee0a0db72f48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eff23c21-e886-4359-b092-f8ff0b83d1a0' class='xr-var-data-in' type='checkbox'><label for='data-eff23c21-e886-4359-b092-f8ff0b83d1a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ambSSA_550_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-14f2276d-6878-4580-beff-f6b6401d512e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14f2276d-6878-4580-beff-f6b6401d512e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10402564-ec4c-4916-aafa-3657dc92784c' class='xr-var-data-in' type='checkbox'><label for='data-10402564-ec4c-4916-aafa-3657dc92784c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ambSSA_700_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-37629ab3-0cc0-46d9-9adb-8b45676b915b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37629ab3-0cc0-46d9-9adb-8b45676b915b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-751633e2-03fb-4feb-a1cb-2adcf76da396' class='xr-var-data-in' type='checkbox'><label for='data-751633e2-03fb-4feb-a1cb-2adcf76da396' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dryEXT_532_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-bce9b586-8c31-4d67-a781-c87e454d92cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bce9b586-8c31-4d67-a781-c87e454d92cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1046ae15-49f8-46db-a50b-40d0306cf06a' class='xr-var-data-in' type='checkbox'><label for='data-1046ae15-49f8-46db-a50b-40d0306cf06a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ambEXT_532_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-8c71761c-8331-4e80-8b3c-608bc0887a56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c71761c-8331-4e80-8b3c-608bc0887a56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe69dda3-8655-4b88-abee-94c222c6eb21' class='xr-var-data-in' type='checkbox'><label for='data-fe69dda3-8655-4b88-abee-94c222c6eb21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ext_dry_664_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.6086 5.396 2.546 ... 20.23 16.97</div><input id='attrs-4b881779-4d5d-4124-89ef-8f28fba56a7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b881779-4d5d-4124-89ef-8f28fba56a7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d73402a-03d6-4da4-adc0-7a79fcdb5265' class='xr-var-data-in' type='checkbox'><label for='data-6d73402a-03d6-4da4-adc0-7a79fcdb5265' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-0.60856667,  5.39615341,  2.54555418,  0.7607749 ,  1.04600308,\n",
+       "        1.139983  ,  1.12403902,  0.87712943,  0.93175571,  0.96132939,\n",
+       "        0.83328444,  0.80211939,  0.7392998 ,  0.42947687,  1.09787291,\n",
+       "        6.2768559 , 14.7897946 , 27.525162  , 17.35139593, 19.79941633,\n",
+       "       22.26205125, 30.28582741,  3.348218  , 10.9619208 ,  9.64821163,\n",
+       "       15.10007727, 41.40497143, 10.66463918,  9.37524959, 14.90264909,\n",
+       "       14.81658653, 31.95938367, 28.40384604, 20.23415294, 16.96566667])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ext_dry_532_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1098 8.79 3.584 ... 31.32 27.63</div><input id='attrs-a0011d9d-9b75-42df-9496-1265d7bc6ac5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0011d9d-9b75-42df-9496-1265d7bc6ac5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b19d20b-aa1d-4976-a240-8e0e91172a06' class='xr-var-data-in' type='checkbox'><label for='data-2b19d20b-aa1d-4976-a240-8e0e91172a06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.10975667,  8.78963   ,  3.58425148,  1.02104224,  1.29770538,\n",
+       "        1.4297196 ,  1.45931235,  1.25038566,  1.33676327,  1.28510449,\n",
+       "        2.05847444,  1.34412102,  1.0564608 ,  0.84351875,  0.43096018,\n",
+       "       11.01165718, 22.180442  , 39.531456  , 25.5694566 , 33.43461224,\n",
+       "       36.6712775 , 48.41853944,  5.0610544 , 14.6130936 , 12.72101796,\n",
+       "       22.58548618, 64.10947959, 16.4976502 , 12.62477857, 19.25603889,\n",
+       "       22.74163347, 48.034825  , 43.18835623, 31.32180784, 27.62766667])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ext_dry_405_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9482 16.18 6.744 ... 52.66 46.74</div><input id='attrs-05bd4936-75fa-464e-be96-05af82889b7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05bd4936-75fa-464e-be96-05af82889b7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9ea3b9c-1039-431f-aed8-a96cd06990c8' class='xr-var-data-in' type='checkbox'><label for='data-c9ea3b9c-1039-431f-aed8-a96cd06990c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([  0.94815   ,  16.1751545 ,   6.74395093,   1.52353041,\n",
+       "         1.90701192,   2.33128408,   2.33258882,   2.02085404,\n",
+       "         1.8903149 ,   2.04055042,   1.80734528,   1.46128612,\n",
+       "         1.3059086 ,   0.73240521,   1.03559145,  19.16913158,\n",
+       "        37.0139    ,  62.298076  ,  40.82305283,  56.51884898,\n",
+       "        60.92293021,  81.95221321,   8.4490602 ,  20.3127802 ,\n",
+       "        17.49918714,  36.2355263 , 104.41529796,  26.09117542,\n",
+       "        18.11181898,  26.44141481,  34.84286122,  78.13368958,\n",
+       "        70.18980385,  52.66142157,  46.7387    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abs_dry_664_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 2.779 nan nan</div><input id='attrs-5113326f-6073-447e-af82-691c1db23dff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5113326f-6073-447e-af82-691c1db23dff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edc8c82f-96bb-4243-a2b4-d5c4a9414c20' class='xr-var-data-in' type='checkbox'><label for='data-edc8c82f-96bb-4243-a2b4-d5c4a9414c20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,  9.01208833,\n",
+       "        1.54848   ,  2.32241478,  1.03734667,  0.29303479,  1.60452851,\n",
+       "       -0.90913455,  4.92606186,  1.00334222,  0.29127041,  1.0070437 ,\n",
+       "        1.537175  ,  2.39238706,  2.77866278,         nan,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abs_dry_532_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 5.374 4.332 nan</div><input id='attrs-fac8c57b-07dd-44fb-8a92-dedcdf5a2c93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fac8c57b-07dd-44fb-8a92-dedcdf5a2c93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a9f1190-d332-4689-bd6e-bd41ee9ddec6' class='xr-var-data-in' type='checkbox'><label for='data-7a9f1190-d332-4689-bd6e-bd41ee9ddec6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan,             nan,             nan,\n",
+       "                   nan,             nan, -1.31220000e-01,  2.44262967e+00,\n",
+       "        4.02871941e+00,  6.83086364e+00,  7.20117647e-03,  5.04261042e-01,\n",
+       "        3.62756383e-01, -2.71262778e-01,  8.07927216e+00, -1.27950000e-01,\n",
+       "        2.92457041e-01,  2.70987222e-01,  1.09071052e+00,  4.39898755e+00,\n",
+       "        5.37392722e+00,  4.33193429e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abs_dry_405_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 7.544 4.131 4.071</div><input id='attrs-c873851c-4b7d-469d-bc8b-db10305d0201' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c873851c-4b7d-469d-bc8b-db10305d0201' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a11ada10-2c84-44e6-8ac5-f77f01fddfb3' class='xr-var-data-in' type='checkbox'><label for='data-a11ada10-2c84-44e6-8ac5-f77f01fddfb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,  2.88279   ,  5.12995224,  3.26313245,  4.44824875,\n",
+       "        4.90911184,  9.24129962,  0.61973353,  0.51694146,  0.48483021,\n",
+       "        3.0950474 , 12.50584042,  2.28480833,  0.39423918,  0.50057772,\n",
+       "        2.23141327,  8.07579082,  7.54356765,  4.131255  ,  4.07079333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AOP_RH_dry_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.92 32.76 28.43 ... 32.21 32.04</div><input id='attrs-209b9e83-bbbb-4a1e-8f8f-7ca15d35d76b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-209b9e83-bbbb-4a1e-8f8f-7ca15d35d76b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc83bf91-68f5-4b34-b395-c7a0493b9a8c' class='xr-var-data-in' type='checkbox'><label for='data-cc83bf91-68f5-4b34-b395-c7a0493b9a8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pct</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([33.9234    , 32.756935  , 28.42909167, 26.66644167, 26.27746833,\n",
+       "       26.22855167, 26.01731333, 26.06210167, 25.59150667, 25.30627167,\n",
+       "       25.11142667, 24.477605  , 23.64965167, 23.06753   , 22.37123   ,\n",
+       "       22.70196   , 21.99802833, 23.43179   , 25.42534833, 25.02887333,\n",
+       "       24.86500167, 25.73389   , 26.83136833, 26.631885  , 28.762     ,\n",
+       "       29.8828    , 29.49137167, 30.63242   , 30.83297   , 32.12587   ,\n",
+       "       33.948845  , 31.72158833, 32.01907667, 32.21496333, 32.043     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ext_medRH_664_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.05855 7.981 3.114 ... 29.71 27.1</div><input id='attrs-870b9ebd-21d0-4c3d-9fb9-5e773e968dee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-870b9ebd-21d0-4c3d-9fb9-5e773e968dee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b40b65a-b7ed-4ab6-98f5-a2aa4a66c897' class='xr-var-data-in' type='checkbox'><label for='data-1b40b65a-b7ed-4ab6-98f5-a2aa4a66c897' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.05854667,  7.98131098,  3.11401182,  1.26418055,  1.17203769,\n",
+       "        1.894409  ,  2.04801529,  1.79913019,  1.70425694,  1.58007878,\n",
+       "        1.60885667,  1.33512245,  1.4390696 ,  0.98938   ,  0.38722818,\n",
+       "       11.73591641, 19.5002274 , 32.3938    , 24.55817407, 37.73019184,\n",
+       "       33.71419286, 40.21281778,  6.4568906 , 22.3556036 , 19.93557122,\n",
+       "       21.68119582, 51.76599796, 17.0974678 , 19.02559776, 28.20440909,\n",
+       "       19.33262388, 41.18007551, 38.43808679, 29.70809608, 27.10486667])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AOP_RH_med_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>79.42 80.76 81.47 ... 80.6 79.04</div><input id='attrs-ecf8abf0-4ec2-4936-8b8a-a130e2dc4e6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecf8abf0-4ec2-4936-8b8a-a130e2dc4e6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ed383f2-1395-4950-a838-f988ded72449' class='xr-var-data-in' type='checkbox'><label for='data-1ed383f2-1395-4950-a838-f988ded72449' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pct</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([79.42192273, 80.75935333, 81.46938333, 82.76821667, 82.969685  ,\n",
+       "       83.176695  , 82.89976667, 83.11142167, 82.98154   , 82.90436833,\n",
+       "       83.02259833, 83.00150167, 82.950605  , 82.88343833, 82.72738833,\n",
+       "       79.80991167, 78.61676667, 78.871675  , 79.24251   , 79.98159   ,\n",
+       "       79.08869667, 79.074795  , 79.03587667, 79.18294   , 79.41480333,\n",
+       "       79.44701   , 79.196375  , 79.33426   , 79.45253333, 79.71284333,\n",
+       "       79.86187167, 79.56134833, 79.74440333, 80.59941833, 79.0377    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ext_highRH_664_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.4943 8.896 4.95 ... 35.51 31.77</div><input id='attrs-dff80056-e34e-4efe-bfe3-b748fa29ee77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dff80056-e34e-4efe-bfe3-b748fa29ee77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c885fdd5-1cb7-42cc-9a16-b8aca20ba611' class='xr-var-data-in' type='checkbox'><label for='data-c885fdd5-1cb7-42cc-9a16-b8aca20ba611' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-0.49429667,  8.89568683,  4.94959568,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan, 32.33966765, 22.7458    , 44.37173673,\n",
+       "       40.57856735, 46.41010741,  8.21770451, 29.2363128 , 25.69663265,\n",
+       "       26.39843073, 59.63201429, 20.699479  , 23.7677098 , 35.09112   ,\n",
+       "       22.18372469, 45.424088  , 45.12303462, 35.51348846, 31.76633333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AOP_RH_high_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>84.99 85.79 85.54 ... 86.0 84.81</div><input id='attrs-e69d44b5-27f2-47e7-b316-1df04aa706f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e69d44b5-27f2-47e7-b316-1df04aa706f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75ebb537-4330-41cb-8ead-d417fb20991e' class='xr-var-data-in' type='checkbox'><label for='data-75ebb537-4330-41cb-8ead-d417fb20991e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pct</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([84.98988636, 85.78752667, 85.53674333, 85.485045  , 83.92424   ,\n",
+       "       85.01229   , 87.56532833, 88.72378   , 89.18671667, 90.51114333,\n",
+       "       91.350155  , 91.13486667, 91.20331167, 91.22213667, 92.324145  ,\n",
+       "       95.095595  , 96.23044833, 81.54558667, 70.37659667, 82.03321   ,\n",
+       "       84.89903   , 85.01537   , 84.80008167, 84.91707833, 85.28566167,\n",
+       "       85.38081   , 84.949     , 84.70960167, 84.89478167, 84.86042667,\n",
+       "       85.08589167, 84.79615333, 85.25958667, 86.00000167, 84.80794   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ext_TD_664_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2144 1.379 0.3635 ... 7.7 7.685</div><input id='attrs-1dfd5001-e721-4818-9fb8-5648be51247a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dfd5001-e721-4818-9fb8-5648be51247a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-034dbaa3-3ca3-48f7-877b-1fc02abcc6e5' class='xr-var-data-in' type='checkbox'><label for='data-034dbaa3-3ca3-48f7-877b-1fc02abcc6e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.21438667,  1.37855629,  0.36345154,  0.23464802, -0.15045043,\n",
+       "       -0.2118763 , -0.16995792, -0.33031543, -0.40429429, -0.20069395,\n",
+       "        0.25629167, -0.07951651,  0.08161923, -0.08107909,  0.22249286,\n",
+       "        0.28698853,  5.22267705, 13.06901913,  6.26304326,  7.12791744,\n",
+       "        7.84493667, 17.37744449,  1.19665545,  5.97521326,  5.23711442,\n",
+       "        5.71187118, 23.182119  ,  3.43440372,  4.61099609,  9.27694106,\n",
+       "        6.27663929, 13.22093442, 11.20381694,  7.69955889,  7.68514   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ext_TD_405_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5039 2.552 ... 12.15 8.661</div><input id='attrs-54944310-d57a-4973-a099-c7dd745513fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54944310-d57a-4973-a099-c7dd745513fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7c95657-457b-4b26-9ebb-5033c4a85414' class='xr-var-data-in' type='checkbox'><label for='data-e7c95657-457b-4b26-9ebb-5033c4a85414' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 5.03896667e-01,  2.55173471e+00, -4.08129412e-02, -2.51555116e-01,\n",
+       "       -2.78406087e-01, -7.78637209e-01,  3.62508333e-01, -2.58114783e-01,\n",
+       "       -3.95689535e-01, -5.99971905e-01, -6.42879020e-01, -1.35363488e-01,\n",
+       "       -6.06357955e-01, -7.41755455e-01,  9.95296200e-01,  1.59192277e+00,\n",
+       "        7.21393140e+00,  2.96352840e+01,  8.45474133e+00,  1.44796791e+01,\n",
+       "        1.36026154e+01,  3.88842867e+01,  1.04568234e+00,  5.55683372e+00,\n",
+       "        4.32440614e+00,  8.54572157e+00,  5.00588171e+01,  4.52585721e+00,\n",
+       "        4.60351000e+00,  1.07449800e+01,  1.21361807e+01,  2.08960452e+01,\n",
+       "        1.78377328e+01,  1.21474058e+01,  8.66106333e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abs_TD_664_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7f46cd79-35b3-471f-87c2-e7018091c4e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f46cd79-35b3-471f-87c2-e7018091c4e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3975f424-51ca-49e7-9a1a-f8e140ee67b0' class='xr-var-data-in' type='checkbox'><label for='data-3975f424-51ca-49e7-9a1a-f8e140ee67b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abs_TD_405_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 5.737 3.879 4.298</div><input id='attrs-cc9acff0-0a98-4a7a-ab79-bd00181836e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc9acff0-0a98-4a7a-ab79-bd00181836e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab419d50-ae62-4f48-8e8a-1473ad5c6c65' class='xr-var-data-in' type='checkbox'><label for='data-ab419d50-ae62-4f48-8e8a-1473ad5c6c65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,         nan,         nan,         nan,         nan,\n",
+       "               nan,  1.4715515 ,  1.56550388,  0.13231407, -0.87621243,\n",
+       "        1.94827694,  9.075409  , -0.08294294, -0.29352958,  0.91399875,\n",
+       "        3.27057569,  7.32174979,  2.98217776, -1.88474723,  0.08212444,\n",
+       "        2.79886854,  5.03827306,  5.7365296 ,  3.87864459,  4.2980375 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AOP_TD_bypass_flag_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e4468708-0acf-4e3c-9c68-379a22e6d864' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4468708-0acf-4e3c-9c68-379a22e6d864' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03fbf300-ea08-4707-b36f-104b2b71ce52' class='xr-var-data-in' type='checkbox'><label for='data-03fbf300-ea08-4707-b36f-104b2b71ce52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pct</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([    0.        ,     0.        ,     0.        ,     0.        ,\n",
+       "           0.        ,     0.        ,     0.        ,     0.        ,\n",
+       "           0.        ,     0.        ,     0.        ,     0.        ,\n",
+       "           0.        ,     0.        ,     0.        ,     0.        ,\n",
+       "           0.        , -1110.5       , -1111.01666667,     0.        ,\n",
+       "       -1111.1       , -1110.86666667,     0.        ,     0.        ,\n",
+       "           0.        ,     0.        , -2222.01666667,     0.        ,\n",
+       "           0.        , -2222.01666667,     0.        ,     0.        ,\n",
+       "           0.        ,     0.        ,     0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AOP_filter_flag_WAGNER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.06e+03 -4.444e+03 ... 0.0</div><input id='attrs-957ad3db-8b1d-4c1c-8d88-3e6def0a94a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-957ad3db-8b1d-4c1c-8d88-3e6def0a94a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-474ef026-87dd-41f5-bceb-f3991f45a3df' class='xr-var-data-in' type='checkbox'><label for='data-474ef026-87dd-41f5-bceb-f3991f45a3df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>pct</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-6060.36363636, -4444.28333333, -3333.23333333, -3333.18333333,\n",
+       "       -5555.31666667, -4444.28333333, -3333.2       , -3333.21666667,\n",
+       "       -4444.28333333, -4444.28333333, -2222.13333333, -3333.18333333,\n",
+       "       -3333.16666667, -3333.18333333, -2222.13333333, -4444.28333333,\n",
+       "       -4444.26666667, -3333.18333333, -3333.23333333, -4444.28333333,\n",
+       "       -4444.28333333, -3333.21666667, -3333.2       , -4444.26666667,\n",
+       "       -4444.28333333, -2222.13333333, -3333.18333333, -4444.26666667,\n",
+       "       -4444.28333333, -2222.13333333, -4444.28333333, -4444.28333333,\n",
+       "       -2222.1       , -3333.21666667,     0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs300_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.07461 ... 3.072 nan</div><input id='attrs-7fb72cd8-8c0d-4c97-9d7a-25ad3f49f19f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fb72cd8-8c0d-4c97-9d7a-25ad3f49f19f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a93d7ab-069e-4a61-80e8-88efc36bf32b' class='xr-var-data-in' type='checkbox'><label for='data-0a93d7ab-069e-4a61-80e8-88efc36bf32b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.074607  , -0.074607  , -0.074607  ,\n",
+       "       -0.12941   , -0.12941   , -0.12941   , -0.12485   , -0.12485   ,\n",
+       "       -0.12485   , -0.095074  , -0.095074  , -0.095074  ,  0.07027371,\n",
+       "        0.71445878,  4.54645959,  9.43619857,  7.04657265,  2.55260714,\n",
+       "        2.88721   ,  7.45839955,  0.20613143,  0.29116894,  0.16800706,\n",
+       "        2.64759082,  6.23922694,  1.28640184,  0.43453   ,  0.32447633,\n",
+       "        3.08537551,  5.20782289,  5.30853041,  3.07223   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs320_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.03558 ... 2.237 nan</div><input id='attrs-db0b0bbc-c29c-44b4-88a5-db3dd1219062' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db0b0bbc-c29c-44b4-88a5-db3dd1219062' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3b5d495-ba8f-4960-ad0c-ead64741535a' class='xr-var-data-in' type='checkbox'><label for='data-d3b5d495-ba8f-4960-ad0c-ead64741535a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.035577  , -0.035577  , -0.035577  ,\n",
+       "       -0.067645  , -0.067645  , -0.067645  , -0.066218  , -0.066218  ,\n",
+       "       -0.066218  , -0.033195  , -0.033195  , -0.033195  ,  0.06991041,\n",
+       "        0.4497549 ,  2.93810673,  6.08104429,  4.52452327,  1.90017714,\n",
+       "        2.06048   ,  5.40180545,  0.12185429,  0.13782145,  0.10530637,\n",
+       "        1.79020878,  4.23389755,  0.81486878,  0.31031   ,  0.18284571,\n",
+       "        2.18299735,  3.57410868,  3.6524502 ,  2.23742   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs340_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.02155 ... 2.71 1.843 nan</div><input id='attrs-0f5a2151-f152-49e9-ae23-ba23d4274498' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f5a2151-f152-49e9-ae23-ba23d4274498' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85c93dfa-4894-4d9c-8db2-a910d82fcccd' class='xr-var-data-in' type='checkbox'><label for='data-85c93dfa-4894-4d9c-8db2-a910d82fcccd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan, -2.15520000e-02, -2.15520000e-02,\n",
+       "       -2.15520000e-02, -4.41670000e-02, -4.41670000e-02, -4.41670000e-02,\n",
+       "       -3.97930000e-02, -3.97930000e-02, -3.97930000e-02,  5.80200000e-04,\n",
+       "        5.80200000e-04,  5.80200000e-04,  5.89992735e-02,  3.28134898e-01,\n",
+       "        2.10997612e+00,  4.41094796e+00,  3.37020020e+00,  1.46676143e+00,\n",
+       "        1.57039000e+00,  4.08973886e+00,  9.03557143e-02,  1.00228082e-01,\n",
+       "        9.43553469e-02,  1.31375449e+00,  3.06722694e+00,  5.96060204e-01,\n",
+       "        2.41020000e-01,  1.34520408e-01,  1.63254918e+00,  2.57398421e+00,\n",
+       "        2.71026673e+00,  1.84275000e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs360_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.007238 ... 1.587 nan</div><input id='attrs-c3bebf90-7b71-47e3-994f-4d6a6abecc9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3bebf90-7b71-47e3-994f-4d6a6abecc9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc7a2379-6c4f-44e8-9d76-91a6f3dbb409' class='xr-var-data-in' type='checkbox'><label for='data-bc7a2379-6c4f-44e8-9d76-91a6f3dbb409' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.007238  , -0.007238  , -0.007238  ,\n",
+       "       -0.026303  , -0.026303  , -0.026303  , -0.019332  , -0.019332  ,\n",
+       "       -0.019332  ,  0.021668  ,  0.021668  ,  0.021668  ,  0.06672569,\n",
+       "        0.27843531,  1.66866939,  3.49322837,  2.71373816,  1.19385143,\n",
+       "        1.26658   ,  3.22673502,  0.09095943,  0.10133667,  0.10400539,\n",
+       "        1.03774816,  2.33353204,  0.48181653,  0.21789   ,  0.12458   ,\n",
+       "        1.26796163,  1.96181579,  2.1044649 ,  1.58678   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs380_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.0009775 ... 1.219 nan</div><input id='attrs-9e4248e0-57d2-4854-9f38-6cc45a276c5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e4248e0-57d2-4854-9f38-6cc45a276c5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac6dcb52-efdb-4311-af0d-bc9566713f65' class='xr-var-data-in' type='checkbox'><label for='data-ac6dcb52-efdb-4311-af0d-bc9566713f65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan, -9.77500000e-04, -9.77500000e-04,\n",
+       "       -9.77500000e-04, -1.43000000e-02, -1.43000000e-02, -1.43000000e-02,\n",
+       "       -9.71310000e-03, -9.71310000e-03, -9.71310000e-03,  8.45240000e-03,\n",
+       "        8.45240000e-03,  8.45240000e-03,  5.29238327e-02,  2.29360000e-01,\n",
+       "        1.33697878e+00,  2.79427265e+00,  2.19419878e+00,  9.74241429e-01,\n",
+       "        1.01973000e+00,  2.57110743e+00,  8.55817143e-02,  8.33330408e-02,\n",
+       "        6.50203673e-02,  8.08367143e-01,  1.77968408e+00,  3.81863878e-01,\n",
+       "        1.80770000e-01,  1.04795143e-01,  9.82544163e-01,  1.49017605e+00,\n",
+       "        1.55467571e+00,  1.21943000e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs400_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.006368 ... 0.9575 nan</div><input id='attrs-fbfc5f07-44d3-43b9-abf4-a908572e29e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbfc5f07-44d3-43b9-abf4-a908572e29e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cca36ac2-bc8b-4849-9f63-d4aa82497cea' class='xr-var-data-in' type='checkbox'><label for='data-cca36ac2-bc8b-4849-9f63-d4aa82497cea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0063683 , -0.0063683 , -0.0063683 ,\n",
+       "       -0.014089  , -0.014089  , -0.014089  , -0.011209  , -0.011209  ,\n",
+       "       -0.011209  , -0.01126   , -0.01126   , -0.01126   ,  0.03367688,\n",
+       "        0.18401918,  1.09035837,  2.28218592,  1.80499184,  0.80839571,\n",
+       "        0.83417   ,  2.09938623,  0.06117743,  0.0578621 ,  0.02954694,\n",
+       "        0.64093694,  1.39324163,  0.29808878,  0.14394   ,  0.0819928 ,\n",
+       "        0.77603131,  1.16839289,  1.17734898,  0.95746   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs420_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.003319 ... 0.8351 nan</div><input id='attrs-ea04290b-d1f5-426b-85be-89cc063c3268' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea04290b-d1f5-426b-85be-89cc063c3268' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11c1e01b-9f95-47e5-9658-72385b5d0353' class='xr-var-data-in' type='checkbox'><label for='data-11c1e01b-9f95-47e5-9658-72385b5d0353' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0033187 , -0.0033187 , -0.0033187 ,\n",
+       "       -0.0093009 , -0.0093009 , -0.0093009 , -0.0067828 , -0.0067828 ,\n",
+       "       -0.0067828 , -0.0072792 , -0.0072792 , -0.0072792 ,  0.03326313,\n",
+       "        0.16252837,  0.92595551,  1.93509633,  1.54601857,  0.70169286,\n",
+       "        0.71611   ,  1.7881867 ,  0.05760314,  0.0511282 ,  0.02617726,\n",
+       "        0.53700245,  1.13445633,  0.25774163,  0.13298   ,  0.08029271,\n",
+       "        0.64674441,  0.95508816,  0.95479571,  0.83507   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs440_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.004076 ... 0.7335 nan</div><input id='attrs-8b0f026e-00a2-42dc-9828-3f330ed64b6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b0f026e-00a2-42dc-9828-3f330ed64b6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d01a742e-b852-4b94-99d7-5ca6ea8dc036' class='xr-var-data-in' type='checkbox'><label for='data-d01a742e-b852-4b94-99d7-5ca6ea8dc036' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0040755 , -0.0040755 , -0.0040755 ,\n",
+       "       -0.0096433 , -0.0096433 , -0.0096433 , -0.0073028 , -0.0073028 ,\n",
+       "       -0.0073028 , -0.0072686 , -0.0072686 , -0.0072686 ,  0.0256022 ,\n",
+       "        0.13612041,  0.78696408,  1.65401388,  1.33320816,  0.60779714,\n",
+       "        0.61618   ,  1.52817182,  0.04639129,  0.04652237,  0.01880634,\n",
+       "        0.44461082,  0.92373   ,  0.21875082,  0.11622   ,  0.0637521 ,\n",
+       "        0.53528339,  0.78373605,  0.78609347,  0.73346   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs460_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.003557 ... 0.6522 nan</div><input id='attrs-1023d8da-8d40-4228-8751-14c01fd20434' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1023d8da-8d40-4228-8751-14c01fd20434' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb976e75-cc5d-4d29-b65f-78e9ae28189f' class='xr-var-data-in' type='checkbox'><label for='data-eb976e75-cc5d-4d29-b65f-78e9ae28189f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0035571 , -0.0035571 , -0.0035571 ,\n",
+       "       -0.0090073 , -0.0090073 , -0.0090073 , -0.0066221 , -0.0066221 ,\n",
+       "       -0.0066221 , -0.0090414 , -0.0090414 , -0.0090414 ,  0.02216047,\n",
+       "        0.12173898,  0.68660082,  1.43629531,  1.16656633,  0.53960429,\n",
+       "        0.54233   ,  1.33871123,  0.04564786,  0.04386132,  0.01350728,\n",
+       "        0.37924122,  0.77502469,  0.1908502 ,  0.10572   ,  0.06165904,\n",
+       "        0.45920114,  0.65317   ,  0.65254184,  0.65215   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs480_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.002977 ... 0.6027 nan</div><input id='attrs-1cbc6e21-bdb9-4a5b-9f2d-042fff5dbe9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cbc6e21-bdb9-4a5b-9f2d-042fff5dbe9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac1887fc-4166-4e9a-af4e-7998136c157d' class='xr-var-data-in' type='checkbox'><label for='data-ac1887fc-4166-4e9a-af4e-7998136c157d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0029771 , -0.0029771 , -0.0029771 ,\n",
+       "       -0.007119  , -0.007119  , -0.007119  , -0.005418  , -0.005418  ,\n",
+       "       -0.005418  , -0.0095128 , -0.0095128 , -0.0095128 ,  0.01835787,\n",
+       "        0.10770224,  0.59873   ,  1.25009755,  1.02409184,  0.47801571,\n",
+       "        0.48351   ,  1.17668484,  0.04377086,  0.04303932,  0.01336817,\n",
+       "        0.33279286,  0.65891612,  0.17003837,  0.10236   ,  0.06068773,\n",
+       "        0.40912016,  0.563185  ,  0.55752184,  0.60273   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs500_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.004429 ... 0.541 nan</div><input id='attrs-9edcd0b3-de1c-4d97-981f-b37928eb2761' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9edcd0b3-de1c-4d97-981f-b37928eb2761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d98a7728-472f-4faf-b295-7ae7e7ed61f1' class='xr-var-data-in' type='checkbox'><label for='data-d98a7728-472f-4faf-b295-7ae7e7ed61f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.004429  , -0.004429  , -0.004429  ,\n",
+       "       -0.0071094 , -0.0071094 , -0.0071094 , -0.0085465 , -0.0085465 ,\n",
+       "       -0.0085465 , -0.011108  , -0.011108  , -0.011108  ,  0.01339129,\n",
+       "        0.09357694,  0.5309502 ,  1.11570673,  0.92238204,  0.43303286,\n",
+       "        0.43935   ,  1.072548  ,  0.03481171,  0.03743998,  0.00705139,\n",
+       "        0.29012755,  0.573     ,  0.15053163,  0.091421  ,  0.05335635,\n",
+       "        0.36380102,  0.49737632,  0.48527143,  0.54102   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs520_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.001989 ... 0.5215 nan</div><input id='attrs-eb10a1ff-ed0a-42c8-b47d-dd78371f77d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb10a1ff-ed0a-42c8-b47d-dd78371f77d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b61eb4e7-31d3-4e46-843b-57ac9f02fdd7' class='xr-var-data-in' type='checkbox'><label for='data-b61eb4e7-31d3-4e46-843b-57ac9f02fdd7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0019892 , -0.0019892 , -0.0019892 ,\n",
+       "       -0.0050349 , -0.0050349 , -0.0050349 , -0.0033196 , -0.0033196 ,\n",
+       "       -0.0033196 , -0.0072959 , -0.0072959 , -0.0072959 ,  0.01831558,\n",
+       "        0.09603714,  0.50045796,  1.03392571,  0.85790735,  0.41184429,\n",
+       "        0.41967   ,  1.00710525,  0.05408386,  0.04879235,  0.02197693,\n",
+       "        0.28373878,  0.53242102,  0.15282224,  0.095788  ,  0.06207073,\n",
+       "        0.3397742 ,  0.46064105,  0.44814755,  0.52147   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs540_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.003019 ... 0.4846 nan</div><input id='attrs-0e5db621-35f7-4451-9b6e-63dfa0921110' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e5db621-35f7-4451-9b6e-63dfa0921110' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-342c0fb5-abe8-4a6f-b7ed-9f4dabd2c4af' class='xr-var-data-in' type='checkbox'><label for='data-342c0fb5-abe8-4a6f-b7ed-9f4dabd2c4af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0030191 , -0.0030191 , -0.0030191 ,\n",
+       "       -0.0065189 , -0.0065189 , -0.0065189 , -0.0061881 , -0.0061881 ,\n",
+       "       -0.0061881 , -0.0072334 , -0.0072334 , -0.0072334 ,  0.01746025,\n",
+       "        0.0899802 ,  0.45723122,  0.94168041,  0.78762633,  0.38224714,\n",
+       "        0.38787   ,  0.9417865 ,  0.04592884,  0.04224873,  0.01355855,\n",
+       "        0.25633776,  0.47964367,  0.13965478,  0.08297   ,  0.05725512,\n",
+       "        0.31342473,  0.42027553,  0.40279449,  0.48461   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs560_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.00387 ... 0.4363 nan</div><input id='attrs-64cbdb8c-40e3-4d32-90b4-3ba48a8e30de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64cbdb8c-40e3-4d32-90b4-3ba48a8e30de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fd365e2-edae-489e-a55d-d389e850a18b' class='xr-var-data-in' type='checkbox'><label for='data-1fd365e2-edae-489e-a55d-d389e850a18b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0038698 , -0.0038698 , -0.0038698 ,\n",
+       "       -0.006131  , -0.006131  , -0.006131  , -0.0048036 , -0.0048036 ,\n",
+       "       -0.0048036 , -0.00899   , -0.00899   , -0.00899   ,  0.0101541 ,\n",
+       "        0.07848408,  0.42057265,  0.86715571,  0.72777286,  0.35544143,\n",
+       "        0.35911   ,  0.87420509,  0.03035471,  0.03102173,  0.00417455,\n",
+       "        0.2258398 ,  0.43012939,  0.12036818,  0.071371  ,  0.04342276,\n",
+       "        0.28053098,  0.36948789,  0.35859816,  0.43627   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs580_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.004872 ... 0.4122 nan</div><input id='attrs-ede31132-4157-4bbf-ac08-691fcd5ac5f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ede31132-4157-4bbf-ac08-691fcd5ac5f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9849d87d-a1dc-4d02-a3d9-8cd3683bc711' class='xr-var-data-in' type='checkbox'><label for='data-9849d87d-a1dc-4d02-a3d9-8cd3683bc711' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan, -4.87170000e-03, -4.87170000e-03,\n",
+       "       -4.87170000e-03, -1.05660000e-02, -1.05660000e-02, -1.05660000e-02,\n",
+       "       -1.14300000e-02, -1.14300000e-02, -1.14300000e-02, -1.45280000e-02,\n",
+       "       -1.45280000e-02, -1.45280000e-02, -2.39335918e-03,  5.73431837e-02,\n",
+       "        3.62709184e-01,  7.60927551e-01,  6.41302857e-01,  3.15760000e-01,\n",
+       "        3.21160000e-01,  7.87626614e-01,  2.05410000e-02,  2.20253469e-02,\n",
+       "        7.12775510e-04,  2.01279388e-01,  3.86620204e-01,  1.09905388e-01,\n",
+       "        6.85440000e-02,  4.15206939e-02,  2.56979796e-01,  3.31071316e-01,\n",
+       "        3.35791633e-01,  4.12190000e-01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs600_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.01109 ... 0.4016 nan</div><input id='attrs-dc4fede4-8c93-4a4e-abdd-ca1201fe9827' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc4fede4-8c93-4a4e-abdd-ca1201fe9827' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5cda30c-a6df-4699-9ad0-06796b3146d1' class='xr-var-data-in' type='checkbox'><label for='data-f5cda30c-a6df-4699-9ad0-06796b3146d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.011095  , -0.011095  , -0.011095  ,\n",
+       "       -0.021002  , -0.021002  , -0.021002  , -0.025524  , -0.025524  ,\n",
+       "       -0.025524  , -0.028654  , -0.028654  , -0.028654  , -0.03108996,\n",
+       "        0.02398776,  0.31586837,  0.69739694,  0.59753653,  0.29204571,\n",
+       "        0.30186   ,  0.73310466, -0.00320351,  0.00928   , -0.01750669,\n",
+       "        0.17483959,  0.35977061,  0.09428692,  0.059366  ,  0.03422241,\n",
+       "        0.23713682,  0.31329026,  0.31098796,  0.40161   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs620_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.006317 ... 0.3748 nan</div><input id='attrs-3ff07926-dbb0-45e7-b9b1-3143aa61d304' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ff07926-dbb0-45e7-b9b1-3143aa61d304' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34ea9999-8ba8-4cc0-9661-c068ccd28c86' class='xr-var-data-in' type='checkbox'><label for='data-34ea9999-8ba8-4cc0-9661-c068ccd28c86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0063167 , -0.0063167 , -0.0063167 ,\n",
+       "       -0.013423  , -0.013423  , -0.013423  , -0.013808  , -0.013808  ,\n",
+       "       -0.013808  , -0.015706  , -0.015706  , -0.015706  , -0.00302565,\n",
+       "        0.05172116,  0.33014633,  0.69531469,  0.59317163,  0.30273429,\n",
+       "        0.3024    ,  0.73165157,  0.02507214,  0.02051484,  0.00157751,\n",
+       "        0.18831429,  0.35527551,  0.09670998,  0.050708  ,  0.03436186,\n",
+       "        0.22602767,  0.29636605,  0.29468898,  0.3748    ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs640_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.006757 ... 0.3125 nan</div><input id='attrs-ae40d0ce-e39a-4d4c-8a6b-ced5202cee05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae40d0ce-e39a-4d4c-8a6b-ced5202cee05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-152e1dde-91df-45e7-be5a-b0a0b2277273' class='xr-var-data-in' type='checkbox'><label for='data-152e1dde-91df-45e7-be5a-b0a0b2277273' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0067571 , -0.0067571 , -0.0067571 ,\n",
+       "       -0.012556  , -0.012556  , -0.012556  , -0.011052  , -0.011052  ,\n",
+       "       -0.011052  , -0.0030921 , -0.0030921 , -0.0030921 ,  0.01896677,\n",
+       "        0.07806429,  0.35371327,  0.71422429,  0.61441306,  0.31964286,\n",
+       "        0.31594   ,  0.75262614,  0.04970614,  0.03765675,  0.01634467,\n",
+       "        0.18888898,  0.34690735,  0.09863061,  0.054425  ,  0.02568959,\n",
+       "        0.21217   ,  0.26270974,  0.25392082,  0.31252   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs660_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.005408 ... 0.3331 nan</div><input id='attrs-42b3aca4-3fb9-46bf-b037-a7b5eb40fbe4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42b3aca4-3fb9-46bf-b037-a7b5eb40fbe4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc60114c-eb11-4d13-a134-e1d621be6608' class='xr-var-data-in' type='checkbox'><label for='data-cc60114c-eb11-4d13-a134-e1d621be6608' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan, -5.40770000e-03, -5.40770000e-03,\n",
+       "       -5.40770000e-03, -5.67540000e-03, -5.67540000e-03, -5.67540000e-03,\n",
+       "        4.81500000e-04,  4.81500000e-04,  4.81500000e-04,  4.48530000e-03,\n",
+       "        4.48530000e-03,  4.48530000e-03,  3.10155837e-02,  9.61508163e-02,\n",
+       "        3.82226735e-01,  7.46593265e-01,  6.46325102e-01,  3.52657143e-01,\n",
+       "        3.42380000e-01,  7.48333864e-01,  8.29628571e-02,  7.28672653e-02,\n",
+       "        3.91907551e-02,  2.17481633e-01,  3.65982449e-01,  1.21240571e-01,\n",
+       "        6.12540000e-02,  3.96952041e-02,  2.20966571e-01,  2.84384211e-01,\n",
+       "        2.69338367e-01,  3.33100000e-01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs680_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.005414 ... 0.2996 nan</div><input id='attrs-258681a6-654b-467e-a4b1-e77bd011997a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-258681a6-654b-467e-a4b1-e77bd011997a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4292c387-3ac4-48dc-8d47-2a6556b7cb82' class='xr-var-data-in' type='checkbox'><label for='data-4292c387-3ac4-48dc-8d47-2a6556b7cb82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0054139 , -0.0054139 , -0.0054139 ,\n",
+       "       -0.0039482 , -0.0039482 , -0.0039482 , -0.0013687 , -0.0013687 ,\n",
+       "       -0.0013687 , -0.0026822 , -0.0026822 , -0.0026822 ,  0.02080993,\n",
+       "        0.08034592,  0.33518122,  0.6536502 ,  0.56654878,  0.31268286,\n",
+       "        0.29572   ,  0.69163532,  0.06840286,  0.04590763,  0.02470784,\n",
+       "        0.18756184,  0.30716959,  0.09629051,  0.052907  ,  0.02800912,\n",
+       "        0.18319184,  0.22893316,  0.23588714,  0.29959   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs700_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.006903 ... 0.3315 nan</div><input id='attrs-92c5b60b-87ae-4711-960d-22764075396a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92c5b60b-87ae-4711-960d-22764075396a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73ee6fe3-6a8a-496f-9b66-4942d184f8b3' class='xr-var-data-in' type='checkbox'><label for='data-73ee6fe3-6a8a-496f-9b66-4942d184f8b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan, 0.0069034 , 0.0069034 , 0.0069034 ,\n",
+       "       0.0067307 , 0.0067307 , 0.0067307 , 0.014272  , 0.014272  ,\n",
+       "       0.014272  , 0.011211  , 0.011211  , 0.011211  , 0.03907049,\n",
+       "       0.10661592, 0.36694449, 0.69323408, 0.62410429, 0.36031714,\n",
+       "       0.34668   , 0.75291227, 0.10447571, 0.10571045, 0.07144641,\n",
+       "       0.2383602 , 0.36911571, 0.13932408, 0.094197  , 0.07720147,\n",
+       "       0.21522061, 0.29127711, 0.25888224, 0.33147   ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs365_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.005732 ... 1.507 nan</div><input id='attrs-208ff54a-3b4f-46e3-830e-9a96dc952de1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-208ff54a-3b4f-46e3-830e-9a96dc952de1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ada7238b-295c-4b74-bb5c-6be5696b1a87' class='xr-var-data-in' type='checkbox'><label for='data-ada7238b-295c-4b74-bb5c-6be5696b1a87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0057317 , -0.0057317 , -0.0057317 ,\n",
+       "       -0.020693  , -0.020693  , -0.020693  , -0.013978  , -0.013978  ,\n",
+       "       -0.013978  ,  0.022592  ,  0.022592  ,  0.022592  ,  0.06819714,\n",
+       "        0.27017755,  1.58035939,  3.30277633,  2.57595878,  1.13884714,\n",
+       "        1.20261   ,  3.05184173,  0.09712943,  0.10310006,  0.10239992,\n",
+       "        0.98200694,  2.18324551,  0.45755694,  0.21426   ,  0.1290849 ,\n",
+       "        1.19253347,  1.83821474,  1.95973469,  1.50732   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSOC_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.09669 ... 4.382 2.064 nan</div><input id='attrs-998e43c0-501c-4238-b439-df4463f22bf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-998e43c0-501c-4238-b439-df4463f22bf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46ef2bf4-9dc1-4a0c-a96b-ecdf7667f7eb' class='xr-var-data-in' type='checkbox'><label for='data-46ef2bf4-9dc1-4a0c-a96b-ecdf7667f7eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug m-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan, 0.096692  , 0.096692  , 0.096692  ,\n",
+       "       0.081904  , 0.081904  , 0.081904  , 0.026696  , 0.026696  ,\n",
+       "       0.026696  , 0.14125   , 0.14125   , 0.14125   , 0.0675309 ,\n",
+       "       0.28547571, 1.81524082, 3.34803551, 2.31787878, 1.28833143,\n",
+       "       0.68708   , 1.46203023, 0.21301143, 0.27177388, 0.49994551,\n",
+       "       1.94584163, 3.1893751 , 0.51976163, 0.95131   , 0.82933918,\n",
+       "       1.58126531, 4.37190579, 4.38199653, 2.06439   ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs300_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.3864 ... 3.921 1.837 nan</div><input id='attrs-52b917ff-2901-49e1-96bd-70de6ed481ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52b917ff-2901-49e1-96bd-70de6ed481ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc6c0f4c-391b-4e92-9da9-b565bc45484b' class='xr-var-data-in' type='checkbox'><label for='data-bc6c0f4c-391b-4e92-9da9-b565bc45484b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.38638   , -0.38638   , -0.38638   ,\n",
+       "       -0.42223   , -0.42223   , -0.42223   , -0.42446   , -0.42446   ,\n",
+       "       -0.42446   , -0.46391   , -0.46391   , -0.46391   , -0.31413551,\n",
+       "        0.09457531,  1.42060429,  2.54480571,  2.1428549 ,  1.69952286,\n",
+       "        1.7752    ,  4.93810068,  0.06998286, -0.20574796, -0.03379449,\n",
+       "        2.38959714,  4.62617612,  0.51943524, -0.15956   , -0.28268041,\n",
+       "        1.39800816,  3.085225  ,  3.92124633,  1.83691   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs320_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.1887 ... 3.07 1.464 nan</div><input id='attrs-9730f64f-8f25-4460-8f81-c1ef6a9642c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9730f64f-8f25-4460-8f81-c1ef6a9642c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcd3cc30-55cb-47aa-ade5-9a72a0df3d7f' class='xr-var-data-in' type='checkbox'><label for='data-dcd3cc30-55cb-47aa-ade5-9a72a0df3d7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.18874   , -0.18874   , -0.18874   ,\n",
+       "       -0.21746   , -0.21746   , -0.21746   , -0.2307    , -0.2307    ,\n",
+       "       -0.2307    , -0.26398   , -0.26398   , -0.26398   , -0.1548451 ,\n",
+       "        0.16654265,  1.20586143,  2.07623857,  1.77538796,  1.46070429,\n",
+       "        1.56039   ,  3.92199955,  0.13327914, -0.06980518,  0.03835233,\n",
+       "        1.98457714,  3.65962469,  0.44442929, -0.022738  , -0.14736955,\n",
+       "        1.11665755,  2.37759   ,  3.0699751 ,  1.46366   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs340_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.09168 ... 1.215 nan</div><input id='attrs-274cc1c5-f034-4b67-bfc9-e58dadb8def0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-274cc1c5-f034-4b67-bfc9-e58dadb8def0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a81d7d4b-f4ca-48f2-ae6d-8c41fd51dba8' class='xr-var-data-in' type='checkbox'><label for='data-a81d7d4b-f4ca-48f2-ae6d-8c41fd51dba8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.091682  , -0.091682  , -0.091682  ,\n",
+       "       -0.12028   , -0.12028   , -0.12028   , -0.13886   , -0.13886   ,\n",
+       "       -0.13886   , -0.16672   , -0.16672   , -0.16672   , -0.09505704,\n",
+       "        0.1771451 ,  1.02290918,  1.70098776,  1.47608612,  1.23647714,\n",
+       "        1.38106   ,  3.22384795,  0.14093849, -0.01606481,  0.06387718,\n",
+       "        1.69463816,  3.00918653,  0.38638096,  0.03633   , -0.08114249,\n",
+       "        0.87616502,  1.91242237,  2.50832959,  1.21519   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs360_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.03118 ... 1.075 nan</div><input id='attrs-39539bb3-3cbf-41a6-980b-dbd3f15baaa7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39539bb3-3cbf-41a6-980b-dbd3f15baaa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b73b8371-c28d-4a4c-9a97-696bbd7471b6' class='xr-var-data-in' type='checkbox'><label for='data-b73b8371-c28d-4a4c-9a97-696bbd7471b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.031182  , -0.031182  , -0.031182  ,\n",
+       "       -0.05584   , -0.05584   , -0.05584   , -0.068982  , -0.068982  ,\n",
+       "       -0.068982  , -0.088723  , -0.088723  , -0.088723  , -0.03637555,\n",
+       "        0.1945102 ,  0.90421408,  1.46674408,  1.27821469,  1.07002143,\n",
+       "        1.23647   ,  2.72234773,  0.16810249,  0.03778871,  0.10286882,\n",
+       "        1.51484469,  2.55827184,  0.36627802,  0.078004  , -0.00521153,\n",
+       "        0.72882596,  1.60548447,  2.10915837,  1.07468   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs380_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.0174 ... 0.9247 nan</div><input id='attrs-d186f064-5845-4060-9360-d66b391cbe1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d186f064-5845-4060-9360-d66b391cbe1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cbe540f-afcd-4535-80e5-7616c6011be1' class='xr-var-data-in' type='checkbox'><label for='data-6cbe540f-afcd-4535-80e5-7616c6011be1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.017395  , -0.017395  , -0.017395  ,\n",
+       "       -0.038524  , -0.038524  , -0.038524  , -0.049304  , -0.049304  ,\n",
+       "       -0.049304  , -0.063271  , -0.063271  , -0.063271  , -0.03488294,\n",
+       "        0.16227122,  0.76643837,  1.2316451 ,  1.06939184,  0.89307   ,\n",
+       "        1.07049   ,  2.27561568,  0.14438971,  0.03589982,  0.09121788,\n",
+       "        1.31445571,  2.14051286,  0.29896353,  0.063165  , -0.00412561,\n",
+       "        0.56373367,  1.31240474,  1.75269082,  0.92473   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs400_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.01309 ... 0.8733 nan</div><input id='attrs-4891d515-3434-4e87-8232-6026e0906a00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4891d515-3434-4e87-8232-6026e0906a00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e439c35b-20b7-414e-9f85-7c9ed42191e1' class='xr-var-data-in' type='checkbox'><label for='data-e439c35b-20b7-414e-9f85-7c9ed42191e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.013093  , -0.013093  , -0.013093  ,\n",
+       "       -0.029682  , -0.029682  , -0.029682  , -0.036032  , -0.036032  ,\n",
+       "       -0.036032  , -0.048347  , -0.048347  , -0.048347  , -0.02117314,\n",
+       "        0.15605755,  0.67818143,  1.06955347,  0.92865347,  0.76976   ,\n",
+       "        0.95444   ,  1.95818614,  0.16114429,  0.05610984,  0.10325314,\n",
+       "        1.2062849 ,  1.86482061,  0.29280694,  0.075911  ,  0.03384822,\n",
+       "        0.47905865,  1.14098132,  1.53403429,  0.87328   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs420_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.01044 ... 0.8311 nan</div><input id='attrs-2b238235-5dac-41aa-a18e-02e5104d94bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b238235-5dac-41aa-a18e-02e5104d94bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cc785dd-480b-4181-8466-7c5293458049' class='xr-var-data-in' type='checkbox'><label for='data-7cc785dd-480b-4181-8466-7c5293458049' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.010444  , -0.010444  , -0.010444  ,\n",
+       "       -0.024663  , -0.024663  , -0.024663  , -0.028454  , -0.028454  ,\n",
+       "       -0.028454  , -0.039249  , -0.039249  , -0.039249  , -0.01455263,\n",
+       "        0.1492698 ,  0.61355735,  0.95283898,  0.83013796,  0.68125571,\n",
+       "        0.87035   ,  1.72314273,  0.16747286,  0.07009594,  0.10803678,\n",
+       "        1.1140298 ,  1.66140633,  0.2878251 ,  0.084822  ,  0.05518096,\n",
+       "        0.41300408,  1.02125789,  1.36505694,  0.83115   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs440_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.005069 ... 0.7846 nan</div><input id='attrs-f3b058c9-0ccd-4363-aefb-864aced42aab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3b058c9-0ccd-4363-aefb-864aced42aab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f72c07fc-0a36-479a-ab48-995a06af634f' class='xr-var-data-in' type='checkbox'><label for='data-f72c07fc-0a36-479a-ab48-995a06af634f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0050694 , -0.0050694 , -0.0050694 ,\n",
+       "       -0.016341  , -0.016341  , -0.016341  , -0.016865  , -0.016865  ,\n",
+       "       -0.016865  , -0.028494  , -0.028494  , -0.028494  , -0.00767146,\n",
+       "        0.14514845,  0.56469816,  0.86084959,  0.75158184,  0.61543857,\n",
+       "        0.80173   ,  1.55050818,  0.17047643,  0.08002718,  0.11675171,\n",
+       "        1.05115204,  1.50778714,  0.28750796,  0.09084   ,  0.06938037,\n",
+       "        0.36394073,  0.93189026,  1.24622347,  0.78463   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs460_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.004918 ... 0.7098 nan</div><input id='attrs-dc2fd747-151b-400b-94b7-524ccf1a660e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc2fd747-151b-400b-94b7-524ccf1a660e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3d7a890-51a4-4b18-9b73-c08b424d7c57' class='xr-var-data-in' type='checkbox'><label for='data-c3d7a890-51a4-4b18-9b73-c08b424d7c57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0049182 , -0.0049182 , -0.0049182 ,\n",
+       "       -0.017177  , -0.017177  , -0.017177  , -0.02105   , -0.02105   ,\n",
+       "       -0.02105   , -0.030185  , -0.030185  , -0.030185  , -0.02057406,\n",
+       "        0.11927204,  0.50259653,  0.76624102,  0.66960143,  0.54906429,\n",
+       "        0.73047   ,  1.38600864,  0.15141843,  0.06824476,  0.09773649,\n",
+       "        0.96229857,  1.35777102,  0.25371592,  0.070576  ,  0.05384461,\n",
+       "        0.3051398 ,  0.83516632,  1.12450959,  0.70977   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs480_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.004496 ... 0.6689 nan</div><input id='attrs-22c1170e-2cca-4f88-a5d0-5cf2f53a9883' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22c1170e-2cca-4f88-a5d0-5cf2f53a9883' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-308e6df0-9de8-4859-88af-2a31de526f34' class='xr-var-data-in' type='checkbox'><label for='data-308e6df0-9de8-4859-88af-2a31de526f34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0044955 , -0.0044955 , -0.0044955 ,\n",
+       "       -0.01589   , -0.01589   , -0.01589   , -0.01537298, -0.015373  ,\n",
+       "       -0.01537298, -0.028546  , -0.028546  , -0.028546  , -0.02231112,\n",
+       "        0.11134184,  0.46602673,  0.69778531,  0.60888612,  0.49906286,\n",
+       "        0.68076   ,  1.26407614,  0.15177957,  0.0691079 ,  0.09573714,\n",
+       "        0.90903408,  1.24900531,  0.24102449,  0.063654  ,  0.05285398,\n",
+       "        0.26960535,  0.77066974,  1.04054673,  0.66887   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs500_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.00868 ... 0.6323 nan</div><input id='attrs-42e03fb3-2746-473b-866e-14c2a8ba8002' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42e03fb3-2746-473b-866e-14c2a8ba8002' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44d7bb7e-0363-4264-9caa-41be4ba919a1' class='xr-var-data-in' type='checkbox'><label for='data-44d7bb7e-0363-4264-9caa-41be4ba919a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0086803 , -0.0086803 , -0.0086803 ,\n",
+       "       -0.018546  , -0.018546  , -0.018546  , -0.023105  , -0.023105  ,\n",
+       "       -0.023105  , -0.034778  , -0.034778  , -0.034778  , -0.03374124,\n",
+       "        0.09396673,  0.4304802 ,  0.64385122,  0.55717429,  0.45151571,\n",
+       "        0.63245   ,  1.16115523,  0.13914986,  0.06219812,  0.08228629,\n",
+       "        0.8530349 ,  1.15386163,  0.22548755,  0.040426  ,  0.03655073,\n",
+       "        0.2350298 ,  0.71239368,  0.97166898,  0.63226   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs520_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.01127 ... 0.6096 nan</div><input id='attrs-83cdf876-6cd0-41b9-9b39-b2e38f5cdaff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83cdf876-6cd0-41b9-9b39-b2e38f5cdaff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cac5ab6d-62e8-4556-91a9-a3640b75a591' class='xr-var-data-in' type='checkbox'><label for='data-cac5ab6d-62e8-4556-91a9-a3640b75a591' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.011269  , -0.011269  , -0.011269  ,\n",
+       "       -0.023246  , -0.023246  , -0.023246  , -0.024628  , -0.024628  ,\n",
+       "       -0.024628  , -0.036594  , -0.036594  , -0.036594  , -0.0356388 ,\n",
+       "        0.0872051 ,  0.40599469,  0.60287122,  0.52020327,  0.42195429,\n",
+       "        0.60084   ,  1.08464682,  0.13469329,  0.05850408,  0.077826  ,\n",
+       "        0.81820816,  1.08896735,  0.21459245,  0.037922  ,  0.03605106,\n",
+       "        0.20872898,  0.67801342,  0.91810306,  0.60961   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs540_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.01518 ... 0.5568 nan</div><input id='attrs-bd6f1c6c-441a-4316-9f51-0c5a0115608c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd6f1c6c-441a-4316-9f51-0c5a0115608c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-846fe73e-03e6-4246-991d-614204ac1e54' class='xr-var-data-in' type='checkbox'><label for='data-846fe73e-03e6-4246-991d-614204ac1e54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.015175  , -0.015175  , -0.015175  ,\n",
+       "       -0.025854  , -0.025854  , -0.025854  , -0.029988  , -0.029988  ,\n",
+       "       -0.029988  , -0.047968  , -0.047968  , -0.047968  , -0.05654369,\n",
+       "        0.06122612,  0.36983918,  0.55431939,  0.47452122,  0.38248429,\n",
+       "        0.55243   ,  0.99450364,  0.107999  ,  0.03840381,  0.05390264,\n",
+       "        0.7567149 ,  1.00541347,  0.1954098 ,  0.011947  ,  0.01050782,\n",
+       "        0.16240678,  0.61450658,  0.85541878,  0.5568    ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs560_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.01556 ... 0.5563 nan</div><input id='attrs-aad65fd1-1880-4ccc-92b3-4b1a735bfe72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aad65fd1-1880-4ccc-92b3-4b1a735bfe72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93b939d7-c96d-45a4-bcd9-e71c6368fbbc' class='xr-var-data-in' type='checkbox'><label for='data-93b939d7-c96d-45a4-bcd9-e71c6368fbbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.01556   , -0.01556   , -0.01556   ,\n",
+       "       -0.027072  , -0.027072  , -0.027072  , -0.029004  , -0.029004  ,\n",
+       "       -0.029004  , -0.044389  , -0.044389  , -0.044389  , -0.05244367,\n",
+       "        0.06467347,  0.36370286,  0.53395551,  0.45402633,  0.36500714,\n",
+       "        0.53719   ,  0.94848455,  0.12019529,  0.04824001,  0.06236709,\n",
+       "        0.73909102,  0.96795122,  0.21203265,  0.019074  ,  0.01365951,\n",
+       "        0.15483559,  0.59732289,  0.83069327,  0.55629   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs580_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.01022 ... 0.5011 nan</div><input id='attrs-0ba2dfa6-a278-4982-a2fc-6a8ed9ce2b50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ba2dfa6-a278-4982-a2fc-6a8ed9ce2b50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-877e3831-fd82-48e3-a968-a24d0526e555' class='xr-var-data-in' type='checkbox'><label for='data-877e3831-fd82-48e3-a968-a24d0526e555' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.010224  , -0.010224  , -0.010224  ,\n",
+       "       -0.023804  , -0.023804  , -0.023804  , -0.026268  , -0.026268  ,\n",
+       "       -0.026268  , -0.044838  , -0.044838  , -0.044838  , -0.06477194,\n",
+       "        0.04651143,  0.33478184,  0.49116306,  0.4130598 ,  0.33012857,\n",
+       "        0.49428   ,  0.86075205,  0.09687714,  0.03312584,  0.04010596,\n",
+       "        0.67640673,  0.88402143,  0.19819612,  0.0035709 , -0.00333007,\n",
+       "        0.12777229,  0.54273053,  0.77019347,  0.50108   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs600_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.01236 ... 0.4902 nan</div><input id='attrs-4ab25c38-b1a1-4855-8fbc-9da3e8c72797' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ab25c38-b1a1-4855-8fbc-9da3e8c72797' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2915b9c-ad77-47d0-9075-5f21b97ea3e3' class='xr-var-data-in' type='checkbox'><label for='data-a2915b9c-ad77-47d0-9075-5f21b97ea3e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.012358  , -0.012358  , -0.012358  ,\n",
+       "       -0.026151  , -0.026151  , -0.026151  , -0.029618  , -0.029618  ,\n",
+       "       -0.029618  , -0.04646   , -0.04646   , -0.04646   , -0.06438688,\n",
+       "        0.04419102,  0.32387755,  0.47397184,  0.39604143,  0.31596   ,\n",
+       "        0.4791    ,  0.8307325 ,  0.09554657,  0.03006237,  0.03855673,\n",
+       "        0.65293408,  0.85626551,  0.20340286,  0.0053162 ,  0.00193833,\n",
+       "        0.12384412,  0.53118105,  0.75431735,  0.49019   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs620_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.004934 ... 0.496 nan</div><input id='attrs-61bbc902-2da0-447e-b3a9-51f656d75510' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61bbc902-2da0-447e-b3a9-51f656d75510' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7596c06f-5805-49db-9b16-9b4eee1d4dd4' class='xr-var-data-in' type='checkbox'><label for='data-7596c06f-5805-49db-9b16-9b4eee1d4dd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.0049342 , -0.0049342 , -0.0049342 ,\n",
+       "       -0.01447   , -0.01447   , -0.01447   , -0.017051  , -0.017051  ,\n",
+       "       -0.017051  , -0.038907  , -0.038907  , -0.038907  , -0.06121876,\n",
+       "        0.04572531,  0.32463939,  0.47404959,  0.39778714,  0.31968429,\n",
+       "        0.47901   ,  0.81417205,  0.123606  ,  0.04730354,  0.05141241,\n",
+       "        0.65868531,  0.84510224,  0.20087429,  0.0009315 , -0.00099859,\n",
+       "        0.12923087,  0.53675132,  0.74308265,  0.49601   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs640_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.05011 ... 0.5549 nan</div><input id='attrs-4f59db9d-d13b-4510-914f-f250ce26a7ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f59db9d-d13b-4510-914f-f250ce26a7ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dac6b9ae-5273-48de-aa62-57de91ddbbb5' class='xr-var-data-in' type='checkbox'><label for='data-dac6b9ae-5273-48de-aa62-57de91ddbbb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,  0.050114  ,  0.050114  ,  0.050114  ,\n",
+       "        0.038478  ,  0.038478  ,  0.038478  ,  0.035627  ,  0.035627  ,\n",
+       "        0.035627  ,  0.014595  ,  0.014595  ,  0.014595  , -0.00900496,\n",
+       "        0.09486673,  0.3633698 ,  0.50759327,  0.43987245,  0.36264571,\n",
+       "        0.51562   ,  0.83701545,  0.17066143,  0.10081382,  0.10622396,\n",
+       "        0.7026051 ,  0.87437592,  0.23248714,  0.0242    ,  0.036799  ,\n",
+       "        0.16977106,  0.57166684,  0.77902061,  0.55489   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs660_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.06624 ... 0.5469 nan</div><input id='attrs-24a5202f-3bef-4e9c-a239-2b231c24bd2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24a5202f-3bef-4e9c-a239-2b231c24bd2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52b459c3-cf0b-4d89-9e35-35f0a277d2be' class='xr-var-data-in' type='checkbox'><label for='data-52b459c3-cf0b-4d89-9e35-35f0a277d2be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan, 0.066244  , 0.066244  , 0.066244  ,\n",
+       "       0.060056  , 0.060056  , 0.060056  , 0.058785  , 0.058785  ,\n",
+       "       0.058785  , 0.038435  , 0.038435  , 0.038435  , 0.00901524,\n",
+       "       0.10761716, 0.37245102, 0.52113571, 0.45413265, 0.37233   ,\n",
+       "       0.51831   , 0.83114341, 0.18541571, 0.11590673, 0.12712735,\n",
+       "       0.70976245, 0.8753451 , 0.25264633, 0.043233  , 0.07285737,\n",
+       "       0.20574441, 0.58669974, 0.77859306, 0.5469    ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs680_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.0573 ... 0.727 0.5281 nan</div><input id='attrs-5380c005-9e47-4ba8-8190-a6efd796464d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5380c005-9e47-4ba8-8190-a6efd796464d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bed35fe-5e70-4ba6-a98b-807be8a907af' class='xr-var-data-in' type='checkbox'><label for='data-8bed35fe-5e70-4ba6-a98b-807be8a907af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan, 0.057299  , 0.057299  , 0.057299  ,\n",
+       "       0.051117  , 0.051117  , 0.051117  , 0.046654  , 0.046654  ,\n",
+       "       0.046654  , 0.030929  , 0.030929  , 0.030929  , 0.00531239,\n",
+       "       0.10102182, 0.34743694, 0.48021837, 0.42155939, 0.34395857,\n",
+       "       0.47937   , 0.78701227, 0.16170429, 0.1041182 , 0.11361253,\n",
+       "       0.67348388, 0.81855918, 0.2204798 , 0.037128  , 0.0669972 ,\n",
+       "       0.16681367, 0.55111974, 0.72703633, 0.52814   ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs700_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.05036 ... 0.5222 nan</div><input id='attrs-87c03e22-e9b2-419b-8fea-12b09a4929c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87c03e22-e9b2-419b-8fea-12b09a4929c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01f81ead-6987-4601-bbb5-678f67b1be19' class='xr-var-data-in' type='checkbox'><label for='data-01f81ead-6987-4601-bbb5-678f67b1be19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,  0.050358  ,  0.050358  ,  0.050358  ,\n",
+       "        0.042671  ,  0.042671  ,  0.042671  ,  0.038126  ,  0.038126  ,\n",
+       "        0.038126  ,  0.020588  ,  0.020588  ,  0.020588  , -0.00276202,\n",
+       "        0.09389551,  0.33956122,  0.46466082,  0.40272918,  0.33458857,\n",
+       "        0.4685    ,  0.76002114,  0.17672286,  0.10910051,  0.11840122,\n",
+       "        0.65804857,  0.80361939,  0.22394735,  0.042316  ,  0.06185731,\n",
+       "        0.17882008,  0.54974895,  0.71427816,  0.52219   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSAbs365_AERO_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.0231 ... 2.017 1.055 nan</div><input id='attrs-27d0ec69-b2e0-4020-b042-6213895252fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27d0ec69-b2e0-4020-b042-6213895252fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d2f5377-d55f-4c1a-87ce-366734b99391' class='xr-var-data-in' type='checkbox'><label for='data-1d2f5377-d55f-4c1a-87ce-366734b99391' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.023099  , -0.023099  , -0.023099  ,\n",
+       "       -0.044614  , -0.044614  , -0.044614  , -0.057955  , -0.057955  ,\n",
+       "       -0.057955  , -0.077579  , -0.077579  , -0.077579  , -0.03036322,\n",
+       "        0.19540796,  0.88003204,  1.41258776,  1.22985857,  1.02884857,\n",
+       "        1.19876   ,  2.61786682,  0.17505057,  0.04974514,  0.10900359,\n",
+       "        1.47262755,  2.45306837,  0.35943796,  0.08436   ,  0.00567544,\n",
+       "        0.69177341,  1.54106921,  2.01742163,  1.05462   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs300_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.575 0.4163 0.9972 ... 2.856 nan</div><input id='attrs-c83df085-8af6-4eea-9b40-8d357f731fe8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c83df085-8af6-4eea-9b40-8d357f731fe8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-389ff281-fe90-4592-b802-7136430cf5b1' class='xr-var-data-in' type='checkbox'><label for='data-389ff281-fe90-4592-b802-7136430cf5b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.57502895,  0.41631017,  0.99719883,  1.49053433,  2.080844  ,\n",
+       "       -0.41147302, -0.87612792, -1.57015583, -2.17664617, -2.59309783,\n",
+       "       -3.21424833, -3.65282833, -3.9363915 , -4.326919  , -4.90868517,\n",
+       "       -2.23244433,  1.03464283,  2.85984133, -0.86039367, -1.373899  ,\n",
+       "        0.35823492,  3.286936  ,  0.59480817,  0.31272267, -0.23620177,\n",
+       "        3.33670696,  5.873058  ,  1.92119417,  0.85794183,  1.09285017,\n",
+       "        0.90648108,  8.563069  ,  6.50455429,  2.85562   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs320_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.424 0.2611 0.1797 ... 1.859 nan</div><input id='attrs-f6b69c63-6640-4485-9073-9d90e5ee6047' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6b69c63-6640-4485-9073-9d90e5ee6047' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2ce5700-54a5-47ec-bb95-2bddc84ad1d6' class='xr-var-data-in' type='checkbox'><label for='data-b2ce5700-54a5-47ec-bb95-2bddc84ad1d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.42410789,  0.261132  ,  0.17970167,  0.22648605,  0.83770967,\n",
+       "       -0.78775767, -1.20446483, -1.60865517, -2.08049817, -2.46373883,\n",
+       "       -2.85528167, -3.14451517, -3.31474417, -3.6927045 , -4.124369  ,\n",
+       "       -1.79189567,  0.51616067,  1.53526653, -0.72524033, -1.1132445 ,\n",
+       "        0.03256567,  1.4982785 ,  0.07729962,  0.05022562, -0.25485627,\n",
+       "        2.393354  ,  3.4684655 ,  0.871002  ,  0.34290217,  0.30029833,\n",
+       "        0.45277733,  4.74734883,  3.74227343,  1.85887   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs340_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.1 0.1863 0.01982 ... 1.149 nan</div><input id='attrs-5f411871-c665-4896-b9c1-70559e7e01a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f411871-c665-4896-b9c1-70559e7e01a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-214bbd60-0aac-4e3e-8c13-dc2763df1c6f' class='xr-var-data-in' type='checkbox'><label for='data-214bbd60-0aac-4e3e-8c13-dc2763df1c6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 1.10043842,  0.18634825,  0.01982168, -0.16527822,  0.46573747,\n",
+       "       -1.0132345 , -1.338112  , -1.6023825 , -2.03953083, -2.42924967,\n",
+       "       -2.67796983, -2.95519233, -3.114367  , -3.35584133, -3.4503305 ,\n",
+       "       -1.67015033,  0.28903883,  1.01750332, -0.67282467, -1.00145167,\n",
+       "       -0.05261683,  0.88283712, -0.07275255, -0.09076949, -0.3035545 ,\n",
+       "        1.70244383,  2.71622617,  0.52766183,  0.14604063,  0.10611442,\n",
+       "        0.2889045 ,  3.37953417,  2.677888  ,  1.14944   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs360_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.867 0.1242 -0.1865 ... 0.625 nan</div><input id='attrs-42205ed0-a614-41af-8915-f72bd13874ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42205ed0-a614-41af-8915-f72bd13874ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0ec75ec-3224-4fec-86a7-59c7c2b2d87e' class='xr-var-data-in' type='checkbox'><label for='data-b0ec75ec-3224-4fec-86a7-59c7c2b2d87e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.86702579,  0.12416448, -0.18649723, -0.553217  ,  0.16595283,\n",
+       "       -1.1684775 , -1.47503033, -1.61179467, -2.010402  , -2.39138933,\n",
+       "       -2.50249083, -2.70954467, -2.90352667, -3.09790867, -2.8834925 ,\n",
+       "       -1.52873717,  0.0853885 ,  0.656674  , -0.64850288, -0.92559133,\n",
+       "       -0.21470967,  0.46297697, -0.1850226 , -0.17358383, -0.32041133,\n",
+       "        1.07558   ,  1.99476917,  0.25070993,  0.02554444, -0.0337237 ,\n",
+       "        0.17135067,  2.38497267,  2.13440171,  0.62505   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs380_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7464 0.08787 ... 0.3721 nan</div><input id='attrs-55281f34-9562-4b03-8935-5592cae53796' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55281f34-9562-4b03-8935-5592cae53796' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10326d04-683a-409e-abb5-f31335003aef' class='xr-var-data-in' type='checkbox'><label for='data-10326d04-683a-409e-abb5-f31335003aef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.74637474,  0.0878685 , -0.30452767, -0.7645345 ,  0.013837  ,\n",
+       "       -1.27991517, -1.53966433, -1.6179945 , -1.99673867, -2.36071917,\n",
+       "       -2.429319  , -2.56412967, -2.8117855 , -2.91922617, -2.62716883,\n",
+       "       -1.46965783, -0.00522367,  0.40691513, -0.649923  , -0.88238917,\n",
+       "       -0.30803308,  0.217316  , -0.24671733, -0.22542633, -0.34098483,\n",
+       "        0.73697   ,  1.5519105 ,  0.08696311, -0.05046464, -0.12466289,\n",
+       "        0.08449783,  1.77842333,  1.73292629,  0.37208   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs400_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6241 0.05583 ... 0.2373 nan</div><input id='attrs-eda75d79-a407-443d-8c08-a46a87e2b5ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eda75d79-a407-443d-8c08-a46a87e2b5ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30d584f5-3897-45c5-9734-d78cbf2ed9de' class='xr-var-data-in' type='checkbox'><label for='data-30d584f5-3897-45c5-9734-d78cbf2ed9de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.62413737,  0.05582833, -0.38169633, -0.896253  , -0.09129423,\n",
+       "       -1.35451967, -1.58486033, -1.61482133, -1.98182417, -2.34247817,\n",
+       "       -2.35834133, -2.470035  , -2.738587  , -2.80263567, -2.3841265 ,\n",
+       "       -1.38754817, -0.10536525,  0.2498124 , -0.6434405 , -0.85649217,\n",
+       "       -0.34548183,  0.02724212, -0.29812667, -0.24935967, -0.35466183,\n",
+       "        0.52836977,  1.2354845 , -0.02197463, -0.10182795, -0.18995733,\n",
+       "        0.0300245 ,  1.37942183,  1.38716429,  0.23726   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs420_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5498 0.02697 ... 0.1313 nan</div><input id='attrs-7ab663a2-7fe5-48fa-a7b7-1882651c8aa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ab663a2-7fe5-48fa-a7b7-1882651c8aa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61ad9d5c-29ff-4a2d-9cb6-7d6dd166e75c' class='xr-var-data-in' type='checkbox'><label for='data-61ad9d5c-29ff-4a2d-9cb6-7d6dd166e75c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.54977053,  0.0269699 , -0.44177183, -1.00659733, -0.18285152,\n",
+       "       -1.40927367, -1.62478017, -1.62390417, -1.96432483, -2.33439567,\n",
+       "       -2.316992  , -2.39185367, -2.65691583, -2.68694683, -2.256091  ,\n",
+       "       -1.339732  , -0.15213872,  0.11679583, -0.645074  , -0.83212533,\n",
+       "       -0.4069979 , -0.08350737, -0.331795  , -0.28285467, -0.3666615 ,\n",
+       "        0.40220951,  1.01447067, -0.1043577 , -0.13652828, -0.2323965 ,\n",
+       "       -0.01274067,  1.051709  ,  1.18329771,  0.13135   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs440_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4686 0.01568 ... 0.05379 nan</div><input id='attrs-79e58602-4c54-41fd-a58c-3af4f94ac037' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79e58602-4c54-41fd-a58c-3af4f94ac037' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4195b6e5-8e2c-4d55-b4e0-667a84039fa3' class='xr-var-data-in' type='checkbox'><label for='data-4195b6e5-8e2c-4d55-b4e0-667a84039fa3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.46855316,  0.0156788 , -0.48942967, -1.0877975 , -0.2458463 ,\n",
+       "       -1.4505815 , -1.64993817, -1.62375233, -1.963121  , -2.3161275 ,\n",
+       "       -2.27858567, -2.32563567, -2.6003205 , -2.58236967, -2.13142783,\n",
+       "       -1.2999485 , -0.20997233,  0.03332357, -0.64638033, -0.82135133,\n",
+       "       -0.4407756 , -0.1640089 , -0.349655  , -0.2973235 , -0.37296467,\n",
+       "        0.25689065,  0.82878483, -0.1601242 , -0.16879857, -0.25630633,\n",
+       "       -0.04828138,  0.814385  ,  1.01528886,  0.053786  ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs460_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4152 0.001879 ... -0.01131 nan</div><input id='attrs-1b0c3591-549c-4f02-af38-c3e75540a0fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b0c3591-549c-4f02-af38-c3e75540a0fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec3a4d2a-4e29-4c2c-b904-8048a70009b9' class='xr-var-data-in' type='checkbox'><label for='data-ec3a4d2a-4e29-4c2c-b904-8048a70009b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 4.15225789e-01,  1.87919167e-03, -5.15910333e-01, -1.15282667e+00,\n",
+       "       -2.89657667e-01, -1.48298333e+00, -1.67267450e+00, -1.62568950e+00,\n",
+       "       -1.95256417e+00, -2.30571167e+00, -2.25096450e+00, -2.27676467e+00,\n",
+       "       -2.52261533e+00, -2.50791150e+00, -2.04341900e+00, -1.24210750e+00,\n",
+       "       -2.49867333e-01, -2.74711667e-02, -6.38979833e-01, -8.01969667e-01,\n",
+       "       -4.81200500e-01, -2.34961833e-01, -3.67493667e-01, -3.10068833e-01,\n",
+       "       -3.82963000e-01,  1.77234000e-01,  6.65536000e-01, -2.00106833e-01,\n",
+       "       -1.83940767e-01, -2.82398167e-01, -7.20399167e-02,  6.79509000e-01,\n",
+       "        8.83207714e-01, -1.13060000e-02,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs480_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.351 -0.00752 ... -0.05119 nan</div><input id='attrs-eb7331bf-d5cc-4b55-bf7d-6eb76a51cf04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb7331bf-d5cc-4b55-bf7d-6eb76a51cf04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-900cc6de-1195-41e0-8c6c-462fdbcf99da' class='xr-var-data-in' type='checkbox'><label for='data-900cc6de-1195-41e0-8c6c-462fdbcf99da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.35097632, -0.00752016, -0.5435095 , -1.19184317, -0.3311875 ,\n",
+       "       -1.51051233, -1.68940683, -1.63462633, -1.950002  , -2.30006017,\n",
+       "       -2.21812467, -2.22679917, -2.49519467, -2.4268815 , -1.95956117,\n",
+       "       -1.2213775 , -0.2670535 , -0.08853178, -0.637112  , -0.79329783,\n",
+       "       -0.5035265 , -0.275477  , -0.3746765 , -0.31962867, -0.385784  ,\n",
+       "        0.0773185 ,  0.54776967, -0.22904483, -0.2061015 , -0.299439  ,\n",
+       "       -0.09701156,  0.56064017,  0.74464   , -0.051186  ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs500_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3178 -0.003253 ... -0.07718 nan</div><input id='attrs-1a40ecda-fe72-483b-ba16-41f9265b4c1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a40ecda-fe72-483b-ba16-41f9265b4c1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9661cb9e-d02f-473c-b739-3bcfd10d8d87' class='xr-var-data-in' type='checkbox'><label for='data-9661cb9e-d02f-473c-b739-3bcfd10d8d87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.31779842, -0.00325258, -0.55063433, -1.20915083, -0.33790467,\n",
+       "       -1.52176717, -1.69278367, -1.62643433, -1.948003  , -2.29637667,\n",
+       "       -2.21968933, -2.216063  , -2.48884217, -2.40240767, -1.93111617,\n",
+       "       -1.21634967, -0.27936167, -0.10630257, -0.630267  , -0.78999433,\n",
+       "       -0.51954167, -0.2959135 , -0.3779425 , -0.32232283, -0.38635067,\n",
+       "        0.06525383,  0.4613533 , -0.2555402 , -0.20406567, -0.30215083,\n",
+       "       -0.11039074,  0.51294217,  0.69489771, -0.077182  ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs520_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2692 -0.01645 ... -0.09043 nan</div><input id='attrs-42de8134-47c2-4001-b1bd-e2a6102d58fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42de8134-47c2-4001-b1bd-e2a6102d58fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a862b1d4-fce9-4cfe-befb-29bb4c135c13' class='xr-var-data-in' type='checkbox'><label for='data-a862b1d4-fce9-4cfe-befb-29bb4c135c13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.26924158, -0.01644906, -0.572474  , -1.24130217, -0.3586835 ,\n",
+       "       -1.5339685 , -1.7008845 , -1.63269683, -1.9441785 , -2.289332  ,\n",
+       "       -2.19926917, -2.2097185 , -2.462821  , -2.3884955 , -1.88145033,\n",
+       "       -1.20339567, -0.290929  , -0.15171315, -0.63913133, -0.78972367,\n",
+       "       -0.53921433, -0.32524217, -0.387783  , -0.32753567, -0.39042267,\n",
+       "        0.02158508,  0.35882571, -0.27343984, -0.22163483, -0.31548783,\n",
+       "       -0.12660113,  0.422407  ,  0.59544229, -0.090425  ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs540_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2624 -0.02768 ... -0.09771 nan</div><input id='attrs-e7275006-d2b0-42fa-ac47-fdc2877d8e72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7275006-d2b0-42fa-ac47-fdc2877d8e72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c4994fa-0401-4223-b1a9-daa9e50f801c' class='xr-var-data-in' type='checkbox'><label for='data-4c4994fa-0401-4223-b1a9-daa9e50f801c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.26244737, -0.02767567, -0.586863  , -1.25883017, -0.39439683,\n",
+       "       -1.546676  , -1.70855083, -1.63485983, -1.94092667, -2.28260283,\n",
+       "       -2.197532  , -2.168634  , -2.41979033, -2.37084333, -1.86416617,\n",
+       "       -1.1655495 , -0.30970757, -0.15689223, -0.63174667, -0.78104   ,\n",
+       "       -0.54693467, -0.3524425 , -0.38988867, -0.33603017, -0.39599983,\n",
+       "       -0.026492  ,  0.32701362, -0.28129707, -0.22955983, -0.32388083,\n",
+       "       -0.13669753,  0.3615705 ,  0.54725771, -0.097713  ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs560_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2531 -0.03251 ... -0.1055 nan</div><input id='attrs-0046c5a8-1cdf-49a5-8ee0-448065c28486' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0046c5a8-1cdf-49a5-8ee0-448065c28486' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9bdc3b2-7856-476d-899f-6eadbe22e46f' class='xr-var-data-in' type='checkbox'><label for='data-f9bdc3b2-7856-476d-899f-6eadbe22e46f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.25309368, -0.03251482, -0.6022345 , -1.28510183, -0.41113717,\n",
+       "       -1.5762245 , -1.71451233, -1.6289235 , -1.937934  , -2.28409217,\n",
+       "       -2.160532  , -2.13100567, -2.38829333, -2.28823383, -1.8338195 ,\n",
+       "       -1.17400267, -0.33995103, -0.19318843, -0.63619517, -0.77910467,\n",
+       "       -0.56713267, -0.36643817, -0.40056583, -0.33038267, -0.403202  ,\n",
+       "       -0.0641955 ,  0.24261898, -0.2939722 , -0.23042333, -0.32316183,\n",
+       "       -0.14452202,  0.3249945 ,  0.51431971, -0.10545   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs580_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2032 -0.0393 ... -0.1196 nan</div><input id='attrs-865f73dd-e513-4eaf-81ca-ea8c5c7adad2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-865f73dd-e513-4eaf-81ca-ea8c5c7adad2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bd56577-2b9a-416f-800b-637f37a48e90' class='xr-var-data-in' type='checkbox'><label for='data-0bd56577-2b9a-416f-800b-637f37a48e90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.20323368, -0.03930109, -0.60361417, -1.30351767, -0.41424315,\n",
+       "       -1.569359  , -1.71933967, -1.63136317, -1.93732933, -2.27458767,\n",
+       "       -2.16055833, -2.11655467, -2.37761933, -2.25938883, -1.79788367,\n",
+       "       -1.10708733, -0.34391125, -0.19488708, -0.629757  , -0.7764105 ,\n",
+       "       -0.58469317, -0.38367767, -0.39855383, -0.337176  , -0.40243133,\n",
+       "       -0.06073333,  0.24857013, -0.30839343, -0.237804  , -0.33022217,\n",
+       "       -0.1663922 ,  0.28156617,  0.45252171, -0.11955   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs600_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1807 -0.04101 ... -0.129 nan</div><input id='attrs-127f80b3-da9b-4adb-bd48-e263131d549c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-127f80b3-da9b-4adb-bd48-e263131d549c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6474bd8d-8771-421e-afc9-dffbd585cce8' class='xr-var-data-in' type='checkbox'><label for='data-6474bd8d-8771-421e-afc9-dffbd585cce8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.18074684, -0.04101384, -0.60352833, -1.3184035 , -0.42983977,\n",
+       "       -1.57935133, -1.72418183, -1.63849217, -1.933236  , -2.275658  ,\n",
+       "       -2.15721267, -2.10513217, -2.38126567, -2.1940465 , -1.76667417,\n",
+       "       -1.11567433, -0.35522302, -0.21427773, -0.64012033, -0.77064333,\n",
+       "       -0.58418   , -0.3956555 , -0.403824  , -0.34332417, -0.406202  ,\n",
+       "       -0.09248117,  0.18517963, -0.30737053, -0.23684533, -0.33658333,\n",
+       "       -0.16634533,  0.262407  ,  0.42176286, -0.12897   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs620_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1707 -0.04118 ... -0.1277 nan</div><input id='attrs-48c1e93b-680e-4e48-ad22-59f0a2e9e93c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48c1e93b-680e-4e48-ad22-59f0a2e9e93c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d31435e-0137-46d4-a34c-4f6e0c3b8354' class='xr-var-data-in' type='checkbox'><label for='data-3d31435e-0137-46d4-a34c-4f6e0c3b8354' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.17073579, -0.04117601, -0.6152955 , -1.3149715 , -0.4388044 ,\n",
+       "       -1.58774867, -1.73705983, -1.640846  , -1.931418  , -2.2751255 ,\n",
+       "       -2.13618783, -2.0868605 , -2.32963083, -2.195752  , -1.72328817,\n",
+       "       -1.100377  , -0.35501227, -0.23247983, -0.6377615 , -0.77079283,\n",
+       "       -0.59366967, -0.40040017, -0.4085825 , -0.34374467, -0.4141475 ,\n",
+       "       -0.11373617,  0.14497363, -0.31748917, -0.24585333, -0.3378535 ,\n",
+       "       -0.17511162,  0.2415157 ,  0.38598771, -0.12773   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs640_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1324 -0.05133 ... -0.1454 nan</div><input id='attrs-cc9e9967-b8b6-4400-b2f3-c5b3aec6b202' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc9e9967-b8b6-4400-b2f3-c5b3aec6b202' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33da2d5e-d907-488b-8c1b-e18592688637' class='xr-var-data-in' type='checkbox'><label for='data-33da2d5e-d907-488b-8c1b-e18592688637' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.13241789, -0.05133267, -0.624291  , -1.346482  , -0.46289457,\n",
+       "       -1.61224783, -1.74183017, -1.643664  , -1.92939833, -2.267593  ,\n",
+       "       -2.11708117, -2.05279517, -2.270106  , -2.0853815 , -1.68031617,\n",
+       "       -1.02358917, -0.37003517, -0.25419947, -0.63860117, -0.75984667,\n",
+       "       -0.62037033, -0.42867017, -0.40494717, -0.34913983, -0.41426433,\n",
+       "       -0.1635355 ,  0.03994287, -0.3330725 , -0.25455733, -0.34677967,\n",
+       "       -0.19495948,  0.19408203,  0.27835371, -0.14536062,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs660_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1478 -0.05051 ... -0.1301 nan</div><input id='attrs-5ae8c294-c37d-47bf-ba73-aa4039db334b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ae8c294-c37d-47bf-ba73-aa4039db334b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf15053f-d573-4d79-9c04-deed8dbf49c3' class='xr-var-data-in' type='checkbox'><label for='data-cf15053f-d573-4d79-9c04-deed8dbf49c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.14778474, -0.05050783, -0.62684883, -1.336137  , -0.45596742,\n",
+       "       -1.60471717, -1.7374855 , -1.643437  , -1.92579233, -2.2708775 ,\n",
+       "       -2.1242585 , -2.06686867, -2.300479  , -2.13001117, -1.7176775 ,\n",
+       "       -1.03391167, -0.36353843, -0.24516195, -0.63599133, -0.76947683,\n",
+       "       -0.6073195 , -0.41115067, -0.40400467, -0.34776067, -0.41251733,\n",
+       "       -0.14199117,  0.08421437, -0.33021883, -0.24484933, -0.34570983,\n",
+       "       -0.18704667,  0.20338897,  0.329836  , -0.13007062,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs680_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.08091 -0.08122 ... -0.1512 nan</div><input id='attrs-dcfc958c-851d-43d0-9333-642f0783347e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcfc958c-851d-43d0-9333-642f0783347e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d2c3466-a5c1-49c8-8e70-9b1089d4a0a0' class='xr-var-data-in' type='checkbox'><label for='data-0d2c3466-a5c1-49c8-8e70-9b1089d4a0a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 0.08090811, -0.08122022, -0.60223767, -1.269288  , -0.46200428,\n",
+       "       -1.548904  , -1.63503133, -1.53507483, -1.78221517, -2.15032533,\n",
+       "       -2.00856   , -1.93426483, -2.06102383, -1.95134817, -1.5942425 ,\n",
+       "       -0.983475  , -0.36723   , -0.24610795, -0.62673583, -0.71679333,\n",
+       "       -0.6076605 , -0.42503667, -0.39321167, -0.34796683, -0.40689717,\n",
+       "       -0.16952767,  0.0277787 , -0.32670117, -0.25834517, -0.336794  ,\n",
+       "       -0.20836656,  0.14871608,  0.24632914, -0.15116062,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs700_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.01958 -0.08205 ... -0.1588 nan</div><input id='attrs-bc8b12be-8327-422e-ba3d-2194d841b1ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc8b12be-8327-422e-ba3d-2194d841b1ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a09fb03-69f1-4907-b793-7c58ffee8b56' class='xr-var-data-in' type='checkbox'><label for='data-7a09fb03-69f1-4907-b793-7c58ffee8b56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([-0.01957547, -0.08205053, -0.66038833, -1.39253617, -0.5139908 ,\n",
+       "       -1.65855783, -1.76594367, -1.66945733, -1.92412433, -2.25958417,\n",
+       "       -2.05618567, -1.9794855 , -1.97280467, -1.83648217, -1.54808083,\n",
+       "       -0.83226733, -0.4082945 , -0.29593202, -0.64500817, -0.76743833,\n",
+       "       -0.67067683, -0.45487817, -0.42060767, -0.36162517, -0.43982   ,\n",
+       "       -0.25791063, -0.1321854 , -0.35811533, -0.274095  , -0.36207267,\n",
+       "       -0.23428498,  0.12725723,  0.10672909, -0.15878   ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSAbs365_MC_WEBER</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8279 0.101 -0.2317 ... 0.5368 nan</div><input id='attrs-1054d8db-428c-45fa-9ec5-de8dd72b09aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1054d8db-428c-45fa-9ec5-de8dd72b09aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e20efad-9bf6-4d17-abcf-4392d415a3d7' class='xr-var-data-in' type='checkbox'><label for='data-7e20efad-9bf6-4d17-abcf-4392d415a3d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Mm-1</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 8.27940000e-01,  1.01040033e-01, -2.31679033e-01, -6.19438167e-01,\n",
+       "        1.31784500e-01, -1.21356300e+00, -1.50199467e+00, -1.62414783e+00,\n",
+       "       -2.01768500e+00, -2.38996767e+00, -2.49381167e+00, -2.68467850e+00,\n",
+       "       -2.90170000e+00, -3.06421667e+00, -2.81950950e+00, -1.52852867e+00,\n",
+       "        5.83415000e-02,  5.71874667e-01, -6.64713933e-01, -9.23910500e-01,\n",
+       "       -2.49107667e-01,  3.75291617e-01, -2.11058700e-01, -1.98214333e-01,\n",
+       "       -3.35115667e-01,  9.71889000e-01,  1.87892567e+00,  1.90020583e-01,\n",
+       "       -2.41792333e-03, -7.48676500e-02,  1.47989500e-01,  2.23255650e+00,\n",
+       "        2.03096029e+00,  5.36760000e-01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BC_mass_90_550_nm_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.04114 24.16 7.848 ... 204.2 224.1</div><input id='attrs-24e4300a-72ec-40ed-8d00-d63a3f4cc693' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24e4300a-72ec-40ed-8d00-d63a3f4cc693' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd420a92-935f-4db4-a5ec-f79c8366e7c4' class='xr-var-data-in' type='checkbox'><label for='data-fd420a92-935f-4db4-a5ec-f79c8366e7c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ng std m-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([4.11363636e-02, 2.41645167e+01, 7.84848333e+00, 1.59391667e+00,\n",
+       "       2.43079310e+00, 1.44813333e+00, 1.78751667e+00, 1.28003333e+00,\n",
+       "       1.62016667e+00, 2.21400000e+00, 2.02960000e+00, 1.18405000e+00,\n",
+       "       7.84150000e-01, 2.55400000e-01, 3.37066667e-01, 3.33084630e+01,\n",
+       "       1.25616233e+02, 2.38875033e+02, 1.58788233e+02, 1.87030583e+02,\n",
+       "       2.52302983e+02, 4.48765950e+02, 3.44665167e+01, 2.75716000e+01,\n",
+       "       2.66542000e+01, 1.81524133e+02, 5.70062533e+02, 1.31860983e+02,\n",
+       "       2.17689667e+01, 2.40436833e+01, 8.18595833e+01, 3.83416217e+02,\n",
+       "       3.71516983e+02, 2.04233700e+02, 2.24067000e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BC_Dilution_Flag_SCHWARZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-26f0982a-70af-4ef7-bfb4-17c0bfdb309c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26f0982a-70af-4ef7-bfb4-17c0bfdb309c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53a7812b-61c9-43ce-9a00-7bcd0ab0a563' class='xr-var-data-in' type='checkbox'><label for='data-53a7812b-61c9-43ce-9a00-7bcd0ab0a563' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>unitless</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OA_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 24.12 12.76 nan</div><input id='attrs-d051f05f-33a8-4172-ae42-a025dec58cf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d051f05f-33a8-4172-ae42-a025dec58cf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fa7b67a-bef2-4479-bd32-def87e5e51e3' class='xr-var-data-in' type='checkbox'><label for='data-3fa7b67a-bef2-4479-bd32-def87e5e51e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,         nan,  0.63365787,  1.22433694,\n",
+       "        0.797931  ,  0.78077356,  0.8872785 ,  0.71537763,  0.741665  ,\n",
+       "        0.65189345,  0.57349617,  0.64366245,  0.27897553,  0.1427751 ,\n",
+       "        3.31608074, 10.57109638, 16.83360054, 13.39100155,  7.83314491,\n",
+       "        9.83761931, 15.94334518,  1.25971983,  2.28006667,  1.48482679,\n",
+       "       11.21242377, 26.02744643, 10.47421453,  1.87781589,  2.28773925,\n",
+       "        2.94543518, 22.36526962, 24.11718554, 12.7640425 ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sulfate_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 3.231 2.468 nan</div><input id='attrs-ee3d5afc-4467-42b0-bc58-fbbf5f6c883e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee3d5afc-4467-42b0-bc58-fbbf5f6c883e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aae3f93-f0ef-403a-9f7c-e171313faa6d' class='xr-var-data-in' type='checkbox'><label for='data-9aae3f93-f0ef-403a-9f7c-e171313faa6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan, 0.20629719, 0.2456675 ,\n",
+       "       0.52765   , 0.42130373, 0.41573383, 0.40180831, 0.30008783,\n",
+       "       0.26888414, 0.247645  , 0.3003669 , 0.1907549 , 0.13425819,\n",
+       "       1.36548574, 2.22121224, 3.4254725 , 2.85488621, 2.26981561,\n",
+       "       2.43801379, 2.47757679, 1.49942931, 1.9071693 , 1.92187929,\n",
+       "       2.16549698, 2.73958161, 2.52686943, 1.671705  , 2.17705151,\n",
+       "       1.62393179, 2.65509585, 3.23148875, 2.46769   ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Nitrate_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 1.994 1.297 nan</div><input id='attrs-1aa3d8fe-7d52-4c1f-85b2-d8cffb8f2d76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1aa3d8fe-7d52-4c1f-85b2-d8cffb8f2d76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18085781-4fc6-4154-b734-5618d33d0f19' class='xr-var-data-in' type='checkbox'><label for='data-18085781-4fc6-4154-b734-5618d33d0f19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan, 0.06113409, 0.097102  ,\n",
+       "       0.0635395 , 0.06517371, 0.05615785, 0.07018224, 0.13282468,\n",
+       "       0.16424212, 0.07811498, 0.06633691, 0.02813033, 0.02363798,\n",
+       "       0.42239169, 0.54363734, 1.60171732, 0.89197414, 2.16228053,\n",
+       "       1.85589898, 0.9792778 , 0.05305764, 0.13965344, 0.09822803,\n",
+       "       0.61727535, 2.00967804, 1.05689519, 0.11384068, 0.18203096,\n",
+       "       0.12173714, 1.22671057, 1.99433296, 1.29727188,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ammonium_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 1.505 1.144 nan</div><input id='attrs-185ef52c-bddf-4faf-af86-6cfd778f0041' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-185ef52c-bddf-4faf-af86-6cfd778f0041' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8a19f2e-8f59-482f-8bce-8c8c43aa5b43' class='xr-var-data-in' type='checkbox'><label for='data-d8a19f2e-8f59-482f-8bce-8c8c43aa5b43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([           nan,            nan,            nan, 2.07995745e-02,\n",
+       "       3.35935000e-02, 6.56371000e-03, 7.81883729e-03, 4.80087000e-03,\n",
+       "       1.05097678e-02, 3.55275833e-02, 4.75695345e-02, 1.33883817e-02,\n",
+       "       7.17269845e-03, 6.19521000e-04, 6.75746809e-04, 5.81569130e-01,\n",
+       "       8.95117241e-01, 1.68161125e+00, 1.22187362e+00, 1.51713298e+00,\n",
+       "       1.37504638e+00, 1.06108125e+00, 3.76012931e-01, 5.96712632e-01,\n",
+       "       5.65733214e-01, 7.73326792e-01, 1.39992946e+00, 9.79285660e-01,\n",
+       "       5.05240518e-01, 6.78922453e-01, 4.85638750e-01, 1.12684472e+00,\n",
+       "       1.50539304e+00, 1.14389458e+00,            nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NR_Chloride_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.03042 0.02228 nan</div><input id='attrs-10d7720e-8f92-4038-9c3e-a26790fbc1b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10d7720e-8f92-4038-9c3e-a26790fbc1b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8c6aebb-8aeb-419e-9ec5-1a7f62bfddb4' class='xr-var-data-in' type='checkbox'><label for='data-b8c6aebb-8aeb-419e-9ec5-1a7f62bfddb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan, 0.00767134, 0.00842149,\n",
+       "       0.00662479, 0.00553486, 0.00936552, 0.00816329, 0.01201888,\n",
+       "       0.0129951 , 0.00804616, 0.00931541, 0.01302075, 0.00505283,\n",
+       "       0.03354878, 0.01388737, 0.01461074, 0.02206389, 0.37421636,\n",
+       "       0.05146589, 0.02422307, 0.00645475, 0.02722811, 0.02138505,\n",
+       "       0.02220125, 0.03251519, 0.02201008, 0.02299422, 0.03774869,\n",
+       "       0.0125752 , 0.02373131, 0.03041956, 0.02228364,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Potassium_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.1013 0.071 nan</div><input id='attrs-08020c1f-8fc5-4a91-b9db-cc54e579034f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08020c1f-8fc5-4a91-b9db-cc54e579034f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e168979-fd15-4b09-b541-8a807577eb3d' class='xr-var-data-in' type='checkbox'><label for='data-5e168979-fd15-4b09-b541-8a807577eb3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,         nan, -0.00445328,  0.01881094,\n",
+       "        0.02428116,  0.00199548,  0.01510937,  0.00618007,  0.03020499,\n",
+       "       -0.00459507, -0.01262548,  0.00908893, -0.01928872,  0.01820033,\n",
+       "        0.03631363,  0.06222088,  0.07424133,  0.04402679,  0.19646754,\n",
+       "        0.05756659,  0.10474127,  0.02560269,  0.05260152,  0.03992267,\n",
+       "        0.05979101,  0.09243506,  0.05551661,  0.06896647,  0.06695058,\n",
+       "        0.02619734,  0.06140451,  0.10130963,  0.07100352,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MSA_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -3.704e+04 nan</div><input id='attrs-4ec5c6e0-c8ac-4e68-9c2b-3b99f86901bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ec5c6e0-c8ac-4e68-9c2b-3b99f86901bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9702b2e9-1294-487f-b1bb-e7ecebaf2c91' class='xr-var-data-in' type='checkbox'><label for='data-9702b2e9-1294-487f-b1bb-e7ecebaf2c91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan,             nan,  6.65940638e-03,\n",
+       "        4.44811389e-03,  2.85972697e-03,  6.59072542e-03,  6.09653500e-03,\n",
+       "        1.14482661e-02,  1.23830167e-03,  5.56995690e-03,  4.10448550e-03,\n",
+       "        7.62289138e-03,  6.86673333e-03,  4.40617234e-03,  1.32621963e-02,\n",
+       "        6.38848810e-02, -1.58728768e+04,  6.62980638e-02, -1.55945019e+04,\n",
+       "        5.31718241e-02,  7.89699054e-02,  1.36358517e-02,  2.86205100e-01,\n",
+       "        1.83222557e-01,  9.00578094e-02, -3.17459920e+05, -1.84486166e+05,\n",
+       "        2.63418916e-01,  3.88693962e-01,  2.21496357e-02, -2.51571965e+05,\n",
+       "       -5.23808974e+05, -3.70369402e+04,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ClO4_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -3.704e+04 nan</div><input id='attrs-2aa6c637-f831-4a01-8f46-42a1ea1e43a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2aa6c637-f831-4a01-8f46-42a1ea1e43a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c015e27-096c-4a88-b05b-ee1b77c1daa5' class='xr-var-data-in' type='checkbox'><label for='data-4c015e27-096c-4a88-b05b-ee1b77c1daa5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan,             nan,  7.83455957e-03,\n",
+       "        9.03328889e-03,  1.11571000e-02,  9.17208136e-03,  6.31873000e-03,\n",
+       "        7.29892373e-03,  1.19503000e-02,  1.04876569e-02,  7.21418333e-03,\n",
+       "        3.23565345e-03,  5.32727050e-03,  5.01578085e-03,  1.19212481e-02,\n",
+       "        2.42560517e-02, -1.58729683e+04,  2.62230138e-02, -1.55945030e+04,\n",
+       "        2.09320103e-02,  3.24202411e-02,  1.12097310e-02,  1.42368754e-02,\n",
+       "        1.68756768e-02,  2.25706302e-02, -3.17459980e+05, -1.84486174e+05,\n",
+       "        1.26106696e-02,  1.69969698e-02,  1.45273375e-02, -2.51572053e+05,\n",
+       "       -5.23808989e+05, -3.70369745e+04,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Iodine_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.006346 nan</div><input id='attrs-95205a7a-8389-471b-acb4-eaa28fc21eaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95205a7a-8389-471b-acb4-eaa28fc21eaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b6ef7b6-2f97-4a31-b934-c5a4ee572ca7' class='xr-var-data-in' type='checkbox'><label for='data-7b6ef7b6-2f97-4a31-b934-c5a4ee572ca7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([           nan,            nan,            nan, 1.02382404e-03,\n",
+       "       1.72348806e-03, 1.52479533e-03, 1.87752219e-03, 1.91867333e-03,\n",
+       "       1.19620847e-03, 1.34893833e-03, 7.27013793e-04, 2.29043000e-04,\n",
+       "       1.15348276e-03, 9.16590500e-05, 9.84013617e-04, 7.51276296e-04,\n",
+       "       4.87626034e-03, 1.05728643e-02, 9.11160862e-03, 4.53350877e-03,\n",
+       "       4.96467759e-03, 1.03607357e-02, 1.79363793e-03, 2.47143123e-03,\n",
+       "       3.69314643e-03, 8.18877170e-03, 1.27499375e-02, 7.44368302e-03,\n",
+       "       3.30433214e-03, 4.75726981e-03, 1.82127554e-03, 1.32845472e-02,\n",
+       "       1.64396911e-02, 6.34609583e-03,            nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Bromine_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.0267 0.01861 nan</div><input id='attrs-e805b30f-1d44-46bb-b11e-977f725db235' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e805b30f-1d44-46bb-b11e-977f725db235' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8833328c-8384-4312-8632-d8187c321ba5' class='xr-var-data-in' type='checkbox'><label for='data-8833328c-8384-4312-8632-d8187c321ba5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,         nan,  0.00209521,  0.00421842,\n",
+       "        0.00357852,  0.00442471,  0.0028473 ,  0.00465682,  0.00328999,\n",
+       "        0.00433787,  0.00215663,  0.00199895,  0.00111966,  0.0005014 ,\n",
+       "        0.00475942,  0.01190148,  0.02123832,  0.01959154,  0.00881084,\n",
+       "        0.01559546,  0.01740101,  0.00455564,  0.00363344,  0.00150639,\n",
+       "        0.01328584,  0.02280393,  0.00764914, -0.00057345,  0.00250149,\n",
+       "        0.00174557,  0.02030069,  0.02669792,  0.01861057,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Seasalt_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -3.704e+04 nan</div><input id='attrs-1a2fd310-bc46-4336-b177-8684a794bbb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a2fd310-bc46-4336-b177-8684a794bbb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6578fb22-78eb-436c-9777-819cfb07e3d3' class='xr-var-data-in' type='checkbox'><label for='data-6578fb22-78eb-436c-9777-819cfb07e3d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug sm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan,             nan,  2.87475702e-02,\n",
+       "        3.71057250e-02,  3.53251333e-02,  2.85143051e-02,  2.19819383e-02,\n",
+       "        2.11541222e-02,  6.60281667e-03, -1.73732586e-03,  1.15135683e-02,\n",
+       "        2.74196729e-02,  9.74733500e-03,  4.39562340e-03,  1.11400722e-02,\n",
+       "        3.97206086e-02, -1.58729460e+04,  2.15472466e-02, -1.55944866e+04,\n",
+       "        2.18558362e-02,  5.16761625e-02,  1.40268776e-02,  6.06057491e-02,\n",
+       "        5.19219625e-02,  4.08199415e-02, -3.17459972e+05, -1.84486170e+05,\n",
+       "        6.35616196e-02,  1.08186034e-01,  1.88122375e-02, -2.51572044e+05,\n",
+       "       -5.23808986e+05, -3.70369908e+04,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CloudFlag_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan 0.0 ... 0.0 0.0 0.0 nan</div><input id='attrs-5b2800b0-18c8-4a06-aa8b-6d7c444ffa65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b2800b0-18c8-4a06-aa8b-6d7c444ffa65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b88e97af-5c46-4e73-ae00-0afe9e1aa71d' class='xr-var-data-in' type='checkbox'><label for='data-b88e97af-5c46-4e73-ae00-0afe9e1aa71d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>unitless</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([           nan,            nan,            nan,     0.        ,\n",
+       "           0.        ,     0.        ,     0.        ,     0.        ,\n",
+       "           0.        ,     0.        ,     0.        ,     0.        ,\n",
+       "           0.        ,     0.        ,     0.        ,     0.        ,\n",
+       "           0.        ,     0.        ,     0.        ,     0.        ,\n",
+       "           0.        ,     0.        ,     0.        , -2339.15789474,\n",
+       "       -1190.46428571,     0.        ,     0.        ,     0.        ,\n",
+       "       -2380.92857143,     0.        ,     0.        ,     0.        ,\n",
+       "           0.        ,     0.        ,            nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AmmBalance_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.8396 0.8591 nan</div><input id='attrs-502713c8-126e-4678-8aff-1e4e7b6f31b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-502713c8-126e-4678-8aff-1e4e7b6f31b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-623ad846-a8c7-47d4-9e15-c237a439023f' class='xr-var-data-in' type='checkbox'><label for='data-623ad846-a8c7-47d4-9e15-c237a439023f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>unitless</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan, 0.22802447, 0.27740556,\n",
+       "       0.03854671, 0.04913219, 0.03417111, 0.07495242, 0.2410795 ,\n",
+       "       0.31949172, 0.13545938, 0.05934695, 0.04563576, 0.05135585,\n",
+       "       0.82548611, 0.88359707, 0.95689   , 0.91317845, 0.93877193,\n",
+       "       0.90751138, 0.87013786, 0.64754776, 0.77931158, 0.74454911,\n",
+       "       0.75959113, 0.86462268, 0.73712415, 0.75276893, 0.76900358,\n",
+       "       0.73754339, 0.83010623, 0.83963143, 0.85907063,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Density_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 1.363 1.448 nan</div><input id='attrs-0ce42217-b7cd-4dcb-9a29-dfda7ea0a447' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ce42217-b7cd-4dcb-9a29-dfda7ea0a447' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eac5db81-d721-4853-b389-c6cf169c3293' class='xr-var-data-in' type='checkbox'><label for='data-eac5db81-d721-4853-b389-c6cf169c3293' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>g cm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,        nan, 1.49125149, 1.40967   ,\n",
+       "       1.50971733, 1.47698322, 1.46421617, 1.54282322, 1.54475983,\n",
+       "       1.56054845, 1.56406017, 1.53820138, 1.5273805 , 1.54482   ,\n",
+       "       1.5206963 , 1.43024172, 1.42628661, 1.42727397, 1.51091281,\n",
+       "       1.51770586, 1.44889375, 1.59622948, 1.52698281, 1.57454786,\n",
+       "       1.45087509, 1.36589714, 1.50415283, 1.5166625 , 1.52794491,\n",
+       "       1.59464125, 1.36388774, 1.36255071, 1.44812479,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OADensity_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 1.273 1.346 nan</div><input id='attrs-d25ad7f3-2f04-4a1d-aa52-46e1596affb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d25ad7f3-2f04-4a1d-aa52-46e1596affb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e2b8a5d-c5f5-42fa-a121-d75cd140d084' class='xr-var-data-in' type='checkbox'><label for='data-7e2b8a5d-c5f5-42fa-a121-d75cd140d084' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>g cm-3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan,             nan, -6.99762588e+05,\n",
+       "       -2.22221031e+05, -4.14813675e+05, -4.82108127e+05, -2.81480275e+05,\n",
+       "       -5.57437711e+05, -6.81480471e+05, -7.20305528e+05, -6.51850827e+05,\n",
+       "       -5.97700087e+05, -7.55554590e+05, -8.13237838e+05, -6.58422686e+04,\n",
+       "        1.33267103e+00,  1.32989161e+00,  1.31952207e+00,  1.35220175e+00,\n",
+       "       -1.53242896e+04, -1.58716565e+04, -5.51723081e+05, -1.40349629e+05,\n",
+       "       -1.74601945e+05, -1.84485165e+05,  1.29803804e+00, -4.02514632e+05,\n",
+       "       -1.42855919e+05,  1.29918057e+00, -3.96824229e+05,  1.29795038e+00,\n",
+       "        1.27272196e+00,  1.34598958e+00,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OSc_PM1_AMS_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -0.552 -0.27 nan</div><input id='attrs-cded4bda-270e-4671-9eca-0e8ecb3ae967' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cded4bda-270e-4671-9eca-0e8ecb3ae967' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1eb3d2e-b54d-412e-a510-fb169099264e' class='xr-var-data-in' type='checkbox'><label for='data-d1eb3d2e-b54d-412e-a510-fb169099264e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>unitless</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan,             nan, -3.02600096e+05,\n",
+       "       -1.23456781e+05, -1.77777683e+05, -2.31423729e-01, -1.72800000e-01,\n",
+       "       -4.36910929e+05, -6.22221514e+05, -8.88888000e+05, -7.11110218e+05,\n",
+       "       -5.21072149e+05, -8.88888000e+05, -8.88888000e+05,  1.58786481e-02,\n",
+       "       -3.45117759e-01, -3.84586250e-01, -3.71957052e-01, -2.01908349e-01,\n",
+       "       -1.00521559e-01, -2.71998659e-01, -9.19540817e+04, -2.73368421e-01,\n",
+       "       -1.45964286e-01, -3.88115660e-01, -4.90159893e-01, -5.32259811e-01,\n",
+       "       -3.82852500e-01, -3.29452830e-01, -7.93650875e+04, -4.88841698e-01,\n",
+       "       -5.51956000e-01, -2.69968917e-01,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C6H10O5_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-81e31c3b-5195-45b2-b967-b09f8b9b4d6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81e31c3b-5195-45b2-b967-b09f8b9b4d6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-191f1e65-49a5-467f-b142-9b7c1276926b' class='xr-var-data-in' type='checkbox'><label for='data-191f1e65-49a5-467f-b142-9b7c1276926b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C6H5NO4_JIMENEZ</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-fbe545dc-68d1-48ec-9b0a-06520a58401a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbe545dc-68d1-48ec-9b0a-06520a58401a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d0463cb-9772-4e54-b087-55eaa1200e30' class='xr-var-data-in' type='checkbox'><label for='data-6d0463cb-9772-4e54-b087-55eaa1200e30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cl_ug/m3_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.001 ... 0.1243 0.042 nan</div><input id='attrs-957d98fb-dbf8-40b9-8901-27794823246f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-957d98fb-dbf8-40b9-8901-27794823246f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04bdaef1-cd97-4fd5-9d17-d76a8a3e6209' class='xr-var-data-in' type='checkbox'><label for='data-04bdaef1-cd97-4fd5-9d17-d76a8a3e6209' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,  0.001     ,  0.001     ,  0.001     ,\n",
+       "       -0.004     , -0.004     , -0.004     , -0.01      , -0.01      ,\n",
+       "       -0.01      , -0.004     , -0.004     , -0.004     ,  0.16438776,\n",
+       "        0.13408163,  0.03838776,  0.0765102 ,  0.06038776,  0.09028571,\n",
+       "        0.086     ,  0.01272727,  0.04871429,  0.3785102 ,  0.37404082,\n",
+       "        0.04118367,  0.0635102 ,  0.02626531,  0.473     ,  0.57391837,\n",
+       "        0.08253061,  0.09902632,  0.12428571,  0.042     ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Br_ug/m3_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.001 ... -8.889e+05 nan</div><input id='attrs-2f45bc10-342f-4547-9883-144943a385cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f45bc10-342f-4547-9883-144943a385cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59678f94-df91-40b1-b590-c2b7c8a55f51' class='xr-var-data-in' type='checkbox'><label for='data-59678f94-df91-40b1-b590-c2b7c8a55f51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([            nan,             nan,  1.00000000e-03,  1.00000000e-03,\n",
+       "        1.00000000e-03,  1.00000000e-03,  1.00000000e-03,  1.00000000e-03,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -5.44217142e+05,\n",
+       "        2.16326531e-03,  3.22448980e-03,  2.00000000e-03,  2.28571429e-03,\n",
+       "        4.00000000e-03, -2.02019971e+04, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -5.44217142e+05,  3.00000000e-03, -7.80044571e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05, -8.88888000e+05, -8.88888000e+05,\n",
+       "       -8.88888000e+05, -8.88888000e+05,             nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NO3_ug/m3_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.042 ... 2.854 1.048 nan</div><input id='attrs-f63866d9-038e-4d16-80fa-277e52bf043c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f63866d9-038e-4d16-80fa-277e52bf043c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8737b2b3-17d5-4082-9372-01e00c8f37b8' class='xr-var-data-in' type='checkbox'><label for='data-8737b2b3-17d5-4082-9372-01e00c8f37b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([           nan,            nan, 4.20000000e-02, 4.20000000e-02,\n",
+       "       4.20000000e-02, 1.30000000e-02, 1.30000000e-02, 1.30000000e-02,\n",
+       "       2.70000000e-02, 2.70000000e-02, 2.70000000e-02, 1.00000000e-03,\n",
+       "       1.00000000e-03, 1.00000000e-03, 1.04983673e+00, 1.07281633e+00,\n",
+       "       1.78800000e+00, 2.77428571e+00, 1.07897959e+00, 8.29285714e-01,\n",
+       "       1.42500000e+00, 1.73179545e+00, 2.95428571e-01, 8.48081633e-01,\n",
+       "       1.04610204e+00, 1.47930612e+00, 2.72644898e+00, 6.17653061e-01,\n",
+       "       8.25000000e-01, 1.53230612e+00, 7.20979592e-01, 2.59523684e+00,\n",
+       "       2.85436735e+00, 1.04800000e+00,            nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SO4_ug/m3_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.123 ... 1.9 1.007 nan</div><input id='attrs-684de2e7-2f78-4c90-bbd7-c168a98a8a1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-684de2e7-2f78-4c90-bbd7-c168a98a8a1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cd569f0-bfcf-4ea8-bcd1-c661693a8f91' class='xr-var-data-in' type='checkbox'><label for='data-9cd569f0-bfcf-4ea8-bcd1-c661693a8f91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan, 0.123     , 0.123     , 0.123     ,\n",
+       "       0.209     , 0.209     , 0.209     , 0.142     , 0.142     ,\n",
+       "       0.142     , 0.07      , 0.07      , 0.07      , 0.39393878,\n",
+       "       0.71459184, 1.6215102 , 2.02044898, 1.12167347, 1.02085714,\n",
+       "       1.518     , 1.52502273, 0.74957143, 0.98318367, 0.97669388,\n",
+       "       1.25269388, 1.79206122, 1.10469388, 0.796     , 1.30497959,\n",
+       "       1.02673469, 1.72065789, 1.90038776, 1.007     ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>C2O4_ug/m3_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.015 ... 0.244 0.1 nan</div><input id='attrs-4bc2f48a-6290-480e-8cd9-2ec6498c2c18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bc2f48a-6290-480e-8cd9-2ec6498c2c18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa78f2c3-c890-4379-84c9-8f650f659567' class='xr-var-data-in' type='checkbox'><label for='data-fa78f2c3-c890-4379-84c9-8f650f659567' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan, 0.015     , 0.015     , 0.015     ,\n",
+       "       0.01      , 0.01      , 0.01      , 0.008     , 0.008     ,\n",
+       "       0.008     , 0.003     , 0.003     , 0.003     , 0.04604082,\n",
+       "       0.08016327, 0.20583673, 0.28265306, 0.13316327, 0.086     ,\n",
+       "       0.152     , 0.23531818, 0.037     , 0.05102041, 0.05008163,\n",
+       "       0.14934694, 0.27257143, 0.07153061, 0.04      , 0.06808163,\n",
+       "       0.09657143, 0.25968421, 0.244     , 0.1       ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Na_ug/m3_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.006 ... 0.5589 0.268 nan</div><input id='attrs-d957dc20-99c1-4ad6-bcc5-46bab9b89fd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d957dc20-99c1-4ad6-bcc5-46bab9b89fd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c55cf48-6afd-4790-b1f1-77ddcfece85b' class='xr-var-data-in' type='checkbox'><label for='data-3c55cf48-6afd-4790-b1f1-77ddcfece85b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,  0.006     ,  0.006     ,  0.006     ,\n",
+       "       -0.002     , -0.002     , -0.002     , -0.006     , -0.006     ,\n",
+       "       -0.006     ,  0.008     ,  0.008     ,  0.008     ,  0.20885714,\n",
+       "        0.19838776,  0.17555102,  0.27642857,  0.19267347,  0.19328571,\n",
+       "        0.219     ,  0.22125   ,  0.11442857,  0.60044898,  0.83108163,\n",
+       "        0.31059184,  0.44195918,  0.12642857,  0.853     ,  0.97146939,\n",
+       "        0.24822449,  0.53539474,  0.55893878,  0.268     ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NH4_ug/m3_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.054 ... 0.8769 0.586 nan</div><input id='attrs-a5053d2f-9cd4-4e49-885f-d22f91cf460a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5053d2f-9cd4-4e49-885f-d22f91cf460a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b694baa4-8870-4539-984d-aa12dddd3f99' class='xr-var-data-in' type='checkbox'><label for='data-b694baa4-8870-4539-984d-aa12dddd3f99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan, 0.054     , 0.054     , 0.054     ,\n",
+       "       0.064     , 0.064     , 0.064     , 0.058     , 0.058     ,\n",
+       "       0.058     , 0.037     , 0.037     , 0.037     , 0.1102449 ,\n",
+       "       0.22434694, 0.73769388, 0.981     , 0.49373469, 0.58285714,\n",
+       "       0.618     , 0.62868182, 0.24      , 0.33110204, 0.37338776,\n",
+       "       0.4545102 , 0.78832653, 0.39508163, 0.322     , 0.3614898 ,\n",
+       "       0.34769388, 0.71810526, 0.87693878, 0.586     ,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>K_ug/m3_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan 0.003 ... 0.1273 0.046 nan</div><input id='attrs-c1ee2556-1502-4c17-bee3-5ccc4492d064' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1ee2556-1502-4c17-bee3-5ccc4492d064' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da7144d1-54a0-4458-81bd-3f362f6bbf72' class='xr-var-data-in' type='checkbox'><label for='data-da7144d1-54a0-4458-81bd-3f362f6bbf72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan,  0.003     ,  0.003     ,  0.003     ,\n",
+       "       -0.002     , -0.002     , -0.002     , -0.004     , -0.004     ,\n",
+       "       -0.004     , -0.002     , -0.002     , -0.002     ,  0.01612245,\n",
+       "        0.02626531,  0.18267347,  0.30112245,  0.11655102,  0.11542857,\n",
+       "        0.094     ,  0.10436364, -0.00685714,  0.00891837,  0.01195918,\n",
+       "        0.02979592,  0.10189796,  0.01159184,  0.014     ,  0.0157551 ,\n",
+       "        0.02740816,  0.154     ,  0.12730612,  0.046     ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Mg_ug/m3_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.002 ... 0.043 nan</div><input id='attrs-a8ffea85-430c-4d21-a580-b83a40b0f859' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8ffea85-430c-4d21-a580-b83a40b0f859' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba0d6f5a-5df6-4073-a045-375d4be4fe6b' class='xr-var-data-in' type='checkbox'><label for='data-ba0d6f5a-5df6-4073-a045-375d4be4fe6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.002     , -0.002     , -0.002     ,\n",
+       "       -0.003     , -0.003     , -0.003     , -0.003     , -0.003     ,\n",
+       "       -0.003     , -0.003     , -0.003     , -0.003     ,  0.03022449,\n",
+       "        0.03053061,  0.052     ,  0.08485714,  0.03657143,  0.03014286,\n",
+       "        0.043     ,  0.01052273, -0.00828571,  0.00995918,  0.02404082,\n",
+       "        0.01595918,  0.04328571, -0.00063265,  0.035     ,  0.04202041,\n",
+       "        0.02018367,  0.076     ,  0.05769388,  0.043     ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ca_ug/m3_DIBB</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan -0.004 ... 0.6854 0.418 nan</div><input id='attrs-66f92293-7d81-4c9a-9e10-df03ffae5d9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66f92293-7d81-4c9a-9e10-df03ffae5d9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b229d5d4-7593-4083-a9ad-83b4fbd57848' class='xr-var-data-in' type='checkbox'><label for='data-b229d5d4-7593-4083-a9ad-83b4fbd57848' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([        nan,         nan, -0.004     , -0.004     , -0.004     ,\n",
+       "       -0.02      , -0.02      , -0.02      , -0.034     , -0.034     ,\n",
+       "       -0.034     , -0.018     , -0.018     , -0.018     ,  0.40787755,\n",
+       "        0.41144898,  0.61738776,  1.01393878,  0.50122449,  0.37371429,\n",
+       "        0.516     ,  0.43338636,  0.06057143,  0.04546939,  0.05434694,\n",
+       "        0.30053061,  0.66212245,  0.16165306,  0.081     ,  0.06344898,\n",
+       "        0.14173469,  0.8565    ,  0.68542857,  0.418     ,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nCDP_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e766bc67-6ea5-4b0f-970f-9a2dd8e20a17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e766bc67-6ea5-4b0f-970f-9a2dd8e20a17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf809145-5555-45f2-9a47-15fa8144589f' class='xr-var-data-in' type='checkbox'><label for='data-bf809145-5555-45f2-9a47-15fa8144589f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vCDP_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-86c1cf88-437d-41b9-846c-06e5be4a6f4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86c1cf88-437d-41b9-846c-06e5be4a6f4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04906e04-a417-4daa-9e19-a4c0878aec37' class='xr-var-data-in' type='checkbox'><label for='data-04906e04-a417-4daa-9e19-a4c0878aec37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nCPSPD_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-bb69ca6f-2a3f-4bb2-bc4b-0580d5af57d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb69ca6f-2a3f-4bb2-bc4b-0580d5af57d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cef9fa90-744f-4f89-ad13-4375be12c217' class='xr-var-data-in' type='checkbox'><label for='data-cef9fa90-744f-4f89-ad13-4375be12c217' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vCPSPD_stdPT_MOORE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-880bc9c5-792b-48ec-8c47-e8c2405d9067' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-880bc9c5-792b-48ec-8c47-e8c2405d9067' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06a012d5-1b76-4de0-98f7-89ccf96f1c59' class='xr-var-data-in' type='checkbox'><label for='data-06a012d5-1b76-4de0-98f7-89ccf96f1c59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>missing</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Nacc_CAPS_WEINZIERL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.43 1.352 0.5527 ... 3.845 48.99</div><input id='attrs-94f84416-52a4-439c-ae43-897fcc955122' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94f84416-52a4-439c-ae43-897fcc955122' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95947c05-5b75-4134-b94d-a75b5a386071' class='xr-var-data-in' type='checkbox'><label for='data-95947c05-5b75-4134-b94d-a75b5a386071' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#/cm^3 at 1013.25 hPa and 273.15 K</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.43045667,  1.35185667,  0.55269   ,  0.30473   ,  0.36179667,\n",
+       "        0.47850333,  0.47660667,  0.41758667,  0.42907667,  0.45257333,\n",
+       "        0.37079333,  0.39702667,  0.37908667,  0.22956   ,  0.14614333,\n",
+       "       11.95802   ,  2.59951333,  4.84494667,  3.74169   ,  5.55265333,\n",
+       "        5.00041333,  4.8144    ,  0.71956333,  6.26021667,  4.55998333,\n",
+       "        3.54521667,  7.29289333,  2.50163333,  5.27485333,  7.78509   ,\n",
+       "        2.49502   ,  5.97649667,  5.55683   ,  3.84474   , 48.9871    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ncoa1_CAPS_WEINZIERL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4382 0.2829 ... 1.138 37.51</div><input id='attrs-9e80db27-8f95-400d-90ad-75f8404840bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e80db27-8f95-400d-90ad-75f8404840bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-071290a7-e789-4020-a842-c838268e4035' class='xr-var-data-in' type='checkbox'><label for='data-071290a7-e789-4020-a842-c838268e4035' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#/cm^3 at 1013.25 hPa and 273.15 K</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([4.38240000e-01, 2.82873333e-01, 6.52933333e-02, 1.60833333e-02,\n",
+       "       2.48000000e-02, 1.59333333e-02, 1.72000000e-02, 1.69300000e-02,\n",
+       "       1.82700000e-02, 3.68333333e-02, 3.78100000e-02, 2.84566667e-02,\n",
+       "       1.58000000e-02, 1.22333333e-02, 5.78333333e-03, 1.58818567e+01,\n",
+       "       1.67359000e+00, 3.51701667e+00, 2.05155000e+00, 9.25446667e-01,\n",
+       "       1.39759333e+00, 1.48978000e+00, 1.94996667e-01, 4.98085667e+00,\n",
+       "       3.58854667e+00, 1.29552000e+00, 1.99421333e+00, 8.70266667e-01,\n",
+       "       4.13140667e+00, 6.26807333e+00, 4.05103333e-01, 1.90478000e+00,\n",
+       "       1.89497667e+00, 1.13808000e+00, 3.75138000e+01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ncoa2_CAPS_WEINZIERL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01961 0.003617 ... 0.02719 0.9748</div><input id='attrs-dd32d0cd-12bc-4ef6-b063-7bf5c0789e87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd32d0cd-12bc-4ef6-b063-7bf5c0789e87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26af4fac-cb6a-4901-a7d6-de5e9a668219' class='xr-var-data-in' type='checkbox'><label for='data-26af4fac-cb6a-4901-a7d6-de5e9a668219' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#/cm^3 at 1013.25 hPa and 273.15 K</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1.96111111e-02, 3.61666667e-03, 6.66666667e-05, 1.00000000e-04,\n",
+       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
+       "       1.16666667e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
+       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 6.15808333e+00,\n",
+       "       9.24133333e-02, 2.35830000e-01, 8.83933333e-02, 1.06466667e-02,\n",
+       "       3.47866667e-02, 3.77466667e-02, 1.90000000e-03, 1.65166667e-02,\n",
+       "       5.70000000e-03, 2.09033333e-02, 4.67333333e-02, 9.66333333e-03,\n",
+       "       2.02200000e-02, 1.30300000e-02, 4.86666667e-03, 4.05333333e-02,\n",
+       "       2.99833333e-02, 2.71933333e-02, 9.74760000e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ncoa3_CAPS_WEINZIERL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0002222 0.0 ... 0.0004167 0.03333</div><input id='attrs-471e0616-50be-461f-b4b4-f97790e46464' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-471e0616-50be-461f-b4b4-f97790e46464' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-372eaa16-0a3b-43b7-bec0-b64f6a27bef3' class='xr-var-data-in' type='checkbox'><label for='data-372eaa16-0a3b-43b7-bec0-b64f6a27bef3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#/cm^3 at 1013.25 hPa and 273.15 K</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([2.22222222e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
+       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
+       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
+       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.43333333e-03,\n",
+       "       7.33333333e-04, 3.36666667e-03, 2.83333333e-04, 6.66666667e-05,\n",
+       "       9.00000000e-04, 4.83333333e-04, 0.00000000e+00, 0.00000000e+00,\n",
+       "       8.33333333e-05, 8.33333333e-05, 5.00000000e-04, 1.66666667e-04,\n",
+       "       0.00000000e+00, 0.00000000e+00, 8.33333333e-05, 8.16666667e-04,\n",
+       "       3.33333333e-04, 4.16666667e-04, 3.33330000e-02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ntot_CAPS_WEINZIERL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.889 1.639 0.6178 ... 5.01 87.51</div><input id='attrs-fa4f8ccd-6e09-4a03-b11e-a14b819aace1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa4f8ccd-6e09-4a03-b11e-a14b819aace1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f821560-f582-43a9-9961-069506774b45' class='xr-var-data-in' type='checkbox'><label for='data-6f821560-f582-43a9-9961-069506774b45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>#/cm^3 at 1013.25 hPa and 273.15 K</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([ 2.88859   ,  1.63868   ,  0.61776667,  0.32078   ,  0.38584667,\n",
+       "        0.49382   ,  0.49305667,  0.43378667,  0.44699333,  0.48850667,\n",
+       "        0.40759   ,  0.42443   ,  0.39407   ,  0.24134333,  0.15187667,\n",
+       "       34.00027667,  4.36695   ,  8.60158   ,  5.88211333,  6.48964333,\n",
+       "        6.43394667,  6.34221   ,  0.91594333, 11.25794   ,  8.15463   ,\n",
+       "        4.86157333,  9.33340667,  3.38198   ,  9.42663333, 14.06614   ,\n",
+       "        2.90509   ,  7.92224333,  7.48127333,  5.01039667, 87.509     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloudindicator_CAPS_WEINZIERL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 nan</div><input id='attrs-d75e6ab3-4d44-44b6-8ddb-c693792bf9d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d75e6ab3-4d44-44b6-8ddb-c693792bf9d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e0c98f3-0a79-46d8-b72e-b5abfde07531' class='xr-var-data-in' type='checkbox'><label for='data-7e0c98f3-0a79-46d8-b72e-b5abfde07531' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([     0.  ,      0.  ,      0.  ,      0.  ,      0.  ,      0.  ,\n",
+       "            0.  ,      0.  ,      0.  ,      0.  ,      0.  ,      0.  ,\n",
+       "            0.  ,      0.  ,      0.  , -17777.55,      0.  ,      0.  ,\n",
+       "        -5555.5 , -17777.6 ,  -5555.5 ,      0.  ,      0.  ,  -3333.3 ,\n",
+       "        -1111.1 ,      0.  ,      0.  ,      0.  ,  -1111.1 ,  -2222.2 ,\n",
+       "            0.  ,      0.  ,      0.  ,      0.  ,       nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jO3_O2_O1D_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.353e-05 4.526e-05 ... 9.43e-06</div><input id='attrs-03595dcc-998c-4bda-8a26-f49c8981e343' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03595dcc-998c-4bda-8a26-f49c8981e343' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ebfadd9-898c-485b-858b-c3ea723cd020' class='xr-var-data-in' type='checkbox'><label for='data-6ebfadd9-898c-485b-858b-c3ea723cd020' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([3.35275000e-05, 4.52563333e-05, 5.12801667e-05, 5.21361667e-05,\n",
+       "       5.27660000e-05, 5.30091667e-05, 5.43188333e-05, 6.07575000e-05,\n",
+       "       5.58168333e-05, 5.66308333e-05, 6.20466667e-05, 5.94175000e-05,\n",
+       "       6.87922414e-05, 8.51953333e-05, 8.54990000e-05, 5.90632759e-05,\n",
+       "       3.05641379e-05, 3.32673333e-05, 4.21225000e-05, 4.57313333e-05,\n",
+       "       3.97706667e-05, 3.58878333e-05, 3.90568333e-05, 3.65148333e-05,\n",
+       "       3.47691667e-05, 2.46612281e-05, 2.78716667e-05, 3.08978333e-05,\n",
+       "       2.82580000e-05, 2.60680000e-05, 2.42986667e-05, 1.15043333e-05,\n",
+       "       1.95975667e-05, 1.78281017e-05, 9.43000000e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jNO2_NO_O3P_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.009452 0.01134 ... 0.005025</div><input id='attrs-29a0b68b-523a-441c-8d98-d370b9a10789' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29a0b68b-523a-441c-8d98-d370b9a10789' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9308eb2d-e144-4405-a672-8c18bfae671d' class='xr-var-data-in' type='checkbox'><label for='data-9308eb2d-e144-4405-a672-8c18bfae671d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.0094519 , 0.01133803, 0.01252013, 0.01285122, 0.01296082,\n",
+       "       0.01293633, 0.01315088, 0.01527707, 0.01355838, 0.01392312,\n",
+       "       0.015846  , 0.01529882, 0.01823034, 0.02264628, 0.0211755 ,\n",
+       "       0.01392676, 0.008371  , 0.00934314, 0.01095268, 0.01126596,\n",
+       "       0.01035588, 0.00978091, 0.01023996, 0.01009821, 0.01003207,\n",
+       "       0.0079481 , 0.00923439, 0.00963354, 0.00942425, 0.0094022 ,\n",
+       "       0.00915022, 0.0051275 , 0.00848198, 0.00816178, 0.00502477])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jH2O2_OH_OH_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.588e-06 9.77e-06 ... 3.302e-06</div><input id='attrs-47863fba-3187-4829-a37b-3d8d8676d723' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47863fba-3187-4829-a37b-3d8d8676d723' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1be9e873-d51f-4d99-8243-7fe6af4eb5e5' class='xr-var-data-in' type='checkbox'><label for='data-1be9e873-d51f-4d99-8243-7fe6af4eb5e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([7.58800000e-06, 9.77040000e-06, 1.10153333e-05, 1.12331667e-05,\n",
+       "       1.13108333e-05, 1.12828333e-05, 1.14325000e-05, 1.30218333e-05,\n",
+       "       1.18141667e-05, 1.20475000e-05, 1.34623333e-05, 1.29706667e-05,\n",
+       "       1.52436207e-05, 1.88676667e-05, 1.80168333e-05, 1.20201897e-05,\n",
+       "       6.75739655e-06, 7.38821667e-06, 8.97435000e-06, 9.52258333e-06,\n",
+       "       8.53278333e-06, 7.88403333e-06, 8.43850000e-06, 8.13713333e-06,\n",
+       "       7.96806667e-06, 5.99680702e-06, 6.93506667e-06, 7.52616667e-06,\n",
+       "       7.13688333e-06, 6.91896667e-06, 6.67273333e-06, 3.50788333e-06,\n",
+       "       5.94018333e-06, 5.65022034e-06, 3.30200000e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jNO3_NO_O2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02214 0.02305 ... 0.02121 0.01381</div><input id='attrs-2a02f376-9fd9-479d-bc60-728537db83c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a02f376-9fd9-479d-bc60-728537db83c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e3e5208-c79e-4e5e-8017-582d97f607f0' class='xr-var-data-in' type='checkbox'><label for='data-9e3e5208-c79e-4e5e-8017-582d97f607f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.02214075, 0.02304783, 0.02391507, 0.02442203, 0.02490862,\n",
+       "       0.02492012, 0.02468077, 0.02934685, 0.02516803, 0.02666875,\n",
+       "       0.0308912 , 0.02974005, 0.03665533, 0.04625532, 0.0425181 ,\n",
+       "       0.02818626, 0.0188124 , 0.02185835, 0.02562232, 0.02575365,\n",
+       "       0.0238358 , 0.02209445, 0.02171518, 0.02017287, 0.02075017,\n",
+       "       0.02009334, 0.02300438, 0.02141017, 0.02018222, 0.01988092,\n",
+       "       0.02126288, 0.01428643, 0.02050288, 0.02120636, 0.01381367])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jNO3_NO2_O3P_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1877 0.195 ... 0.1739 0.1146</div><input id='attrs-ca52d711-7a82-4561-9dc8-4dfcc489393c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca52d711-7a82-4561-9dc8-4dfcc489393c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8901389e-ceca-4cea-b67f-f87db3677580' class='xr-var-data-in' type='checkbox'><label for='data-8901389e-ceca-4cea-b67f-f87db3677580' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.1876675 , 0.19497917, 0.19774133, 0.19769683, 0.20013033,\n",
+       "       0.199865  , 0.19980383, 0.23759633, 0.20153867, 0.2103285 ,\n",
+       "       0.24581167, 0.23666017, 0.29128776, 0.36805267, 0.34041433,\n",
+       "       0.23351345, 0.15785857, 0.18292072, 0.21044667, 0.208716  ,\n",
+       "       0.19617972, 0.18597888, 0.18484967, 0.17474533, 0.17896067,\n",
+       "       0.16687402, 0.19167983, 0.18186117, 0.1738145 , 0.1724265 ,\n",
+       "       0.180816  , 0.1170036 , 0.17271298, 0.17388449, 0.11458333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jN2O5_NO3_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.52e-05 5.104e-05 ... 1.967e-05</div><input id='attrs-e4d2ca14-a3dd-41b2-94d0-234a5048edd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4d2ca14-a3dd-41b2-94d0-234a5048edd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efe6637d-f7fe-4808-bc4b-e896d0120ca6' class='xr-var-data-in' type='checkbox'><label for='data-efe6637d-f7fe-4808-bc4b-e896d0120ca6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([4.51975000e-05, 5.10445000e-05, 4.52498333e-05, 3.76041667e-05,\n",
+       "       3.53871667e-05, 3.57936667e-05, 3.66420000e-05, 4.17368333e-05,\n",
+       "       3.71511667e-05, 3.75913333e-05, 4.19583333e-05, 4.04325000e-05,\n",
+       "       4.73613793e-05, 5.85265000e-05, 5.82016667e-05, 5.83543103e-05,\n",
+       "       4.01768966e-05, 4.40488333e-05, 5.17970000e-05, 5.06258333e-05,\n",
+       "       4.77856667e-05, 4.69225000e-05, 5.04805000e-05, 4.73911667e-05,\n",
+       "       4.68600000e-05, 3.60194737e-05, 4.16961667e-05, 4.51238333e-05,\n",
+       "       4.18938333e-05, 4.00573333e-05, 4.02020000e-05, 2.11576167e-05,\n",
+       "       3.53731667e-05, 3.25896610e-05, 1.96733333e-05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jHNO2_OH_NO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001502 0.001879 ... 0.0007718</div><input id='attrs-b48defac-8ddc-409e-9a8d-6bb6fc200b87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b48defac-8ddc-409e-9a8d-6bb6fc200b87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed0c80b5-65c2-4092-9095-a1223b3692b4' class='xr-var-data-in' type='checkbox'><label for='data-ed0c80b5-65c2-4092-9095-a1223b3692b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.00150206, 0.00187866, 0.00214914, 0.00224798, 0.00227859,\n",
+       "       0.00227167, 0.0023057 , 0.00266646, 0.00239256, 0.0024665 ,\n",
+       "       0.00279658, 0.00270187, 0.00320342, 0.00396687, 0.00369236,\n",
+       "       0.00232358, 0.00133768, 0.00148211, 0.00176303, 0.00185026,\n",
+       "       0.00167852, 0.00156305, 0.00164198, 0.00162671, 0.00160872,\n",
+       "       0.00124887, 0.0014546 , 0.00153665, 0.00150228, 0.0014979 ,\n",
+       "       0.00144347, 0.00079518, 0.00133709, 0.00128906, 0.00077177])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jHNO3_OH_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.367e-07 8.248e-07 ... 2.269e-07</div><input id='attrs-23f0bd92-9c0b-4c72-a353-a218001725fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23f0bd92-9c0b-4c72-a353-a218001725fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-617f6294-4c51-4373-9e6b-fc22f42d57ca' class='xr-var-data-in' type='checkbox'><label for='data-617f6294-4c51-4373-9e6b-fc22f42d57ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([6.36750000e-07, 8.24793333e-07, 9.00458333e-07, 8.81638333e-07,\n",
+       "       8.76840000e-07, 8.79646667e-07, 8.96786667e-07, 1.01095667e-06,\n",
+       "       9.15465000e-07, 9.15845000e-07, 1.00987333e-06, 9.68358333e-07,\n",
+       "       1.13228276e-06, 1.40575000e-06, 1.39920000e-06, 1.02756207e-06,\n",
+       "       5.72927586e-07, 6.24485000e-07, 7.68926667e-07, 8.15545000e-07,\n",
+       "       7.23896667e-07, 6.67148333e-07, 7.24018333e-07, 6.80506667e-07,\n",
+       "       6.58275000e-07, 4.83415789e-07, 5.52520000e-07, 6.07590000e-07,\n",
+       "       5.61981667e-07, 5.28585000e-07, 5.06993333e-07, 2.54108333e-07,\n",
+       "       4.29185000e-07, 3.99032203e-07, 2.26866667e-07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jHNO4_HO2_NO2_UvVisOnly_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.601e-06 9.205e-06 ... 2.517e-06</div><input id='attrs-1f0130ac-10e0-48e8-9c02-c37dbeb17381' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f0130ac-10e0-48e8-9c02-c37dbeb17381' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4616e0fd-0a54-4cf5-b37d-b0b9b78a160d' class='xr-var-data-in' type='checkbox'><label for='data-4616e0fd-0a54-4cf5-b37d-b0b9b78a160d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([6.60115000e-06, 9.20518333e-06, 1.12918333e-05, 1.20581667e-05,\n",
+       "       1.22970000e-05, 1.22481667e-05, 1.24011667e-05, 1.40391667e-05,\n",
+       "       1.28960000e-05, 1.32705000e-05, 1.47648333e-05, 1.42166667e-05,\n",
+       "       1.66103448e-05, 2.05198333e-05, 1.95538333e-05, 1.17583103e-05,\n",
+       "       5.87429310e-06, 6.37068333e-06, 8.02236667e-06, 8.93538333e-06,\n",
+       "       7.76816667e-06, 6.93483333e-06, 7.42243333e-06, 7.20495000e-06,\n",
+       "       6.98361667e-06, 5.09463158e-06, 5.87648333e-06, 6.46548333e-06,\n",
+       "       6.10835000e-06, 5.89226667e-06, 5.55378333e-06, 2.80845000e-06,\n",
+       "       4.86261667e-06, 4.63327119e-06, 2.51733333e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jCH2O_H_HCO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.244e-05 4.5e-05 ... 1.284e-05</div><input id='attrs-589d916b-ef7d-4342-8653-b73348c3d669' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-589d916b-ef7d-4342-8653-b73348c3d669' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9540b221-c28e-43c1-b9d7-66c97a066f2e' class='xr-var-data-in' type='checkbox'><label for='data-9540b221-c28e-43c1-b9d7-66c97a066f2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([3.24365000e-05, 4.49965000e-05, 5.48218333e-05, 5.82546667e-05,\n",
+       "       5.92873333e-05, 5.89790000e-05, 5.95758333e-05, 6.75446667e-05,\n",
+       "       6.19771667e-05, 6.37566667e-05, 7.10761667e-05, 6.85085000e-05,\n",
+       "       8.01636207e-05, 9.90063333e-05, 9.38318333e-05, 5.67396552e-05,\n",
+       "       2.87203448e-05, 3.11073333e-05, 3.90183333e-05, 4.33581667e-05,\n",
+       "       3.78648333e-05, 3.38960000e-05, 3.62491667e-05, 3.52763333e-05,\n",
+       "       3.43141667e-05, 2.51469298e-05, 2.90906667e-05, 3.20328333e-05,\n",
+       "       3.03126667e-05, 2.93565000e-05, 2.77996667e-05, 1.41522000e-05,\n",
+       "       2.45383333e-05, 2.34688136e-05, 1.28366667e-05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jCH2O_H2_CO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.11e-05 6.93e-05 ... 2.349e-05</div><input id='attrs-ae30ce34-129a-46d0-953d-7060c070ba95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae30ce34-129a-46d0-953d-7060c070ba95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d57a412-b71c-4138-ac17-68738c0b5289' class='xr-var-data-in' type='checkbox'><label for='data-0d57a412-b71c-4138-ac17-68738c0b5289' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([5.11015000e-05, 6.93006667e-05, 8.43035000e-05, 9.04123333e-05,\n",
+       "       9.20991667e-05, 9.17343333e-05, 9.27361667e-05, 1.05972833e-04,\n",
+       "       9.70861667e-05, 1.00471167e-04, 1.12709167e-04, 1.08795000e-04,\n",
+       "       1.28177586e-04, 1.58550000e-04, 1.46868333e-04, 8.59365517e-05,\n",
+       "       4.51160345e-05, 4.90365000e-05, 6.06026667e-05, 6.62550000e-05,\n",
+       "       5.87296667e-05, 5.31738333e-05, 5.63133333e-05, 5.42391667e-05,\n",
+       "       5.35015000e-05, 4.07045614e-05, 4.75105000e-05, 5.15125000e-05,\n",
+       "       4.84640000e-05, 4.72156667e-05, 4.63411667e-05, 2.45745000e-05,\n",
+       "       4.21975000e-05, 4.09318644e-05, 2.34866667e-05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jCH3CHO_CH3_HCO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.324e-06 9.269e-06 ... 1.716e-06</div><input id='attrs-bd558215-bb68-48f0-bccc-70c123378265' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd558215-bb68-48f0-bccc-70c123378265' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bef7d45-a230-46c8-ab5c-f9dc0ed5fcac' class='xr-var-data-in' type='checkbox'><label for='data-3bef7d45-a230-46c8-ab5c-f9dc0ed5fcac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([5.32355000e-06, 9.26940000e-06, 1.47796667e-05, 1.85731667e-05,\n",
+       "       1.96998333e-05, 1.96963333e-05, 2.00081667e-05, 2.25480000e-05,\n",
+       "       2.16456667e-05, 2.32115000e-05, 2.56651667e-05, 2.46543333e-05,\n",
+       "       2.87620690e-05, 3.56113333e-05, 3.19788333e-05, 1.28307759e-05,\n",
+       "       4.68736207e-06, 4.95336667e-06, 6.91493333e-06, 8.60453333e-06,\n",
+       "       7.04206667e-06, 5.75733333e-06, 6.03376667e-06, 5.49293333e-06,\n",
+       "       5.36750000e-06, 3.96280702e-06, 4.62795000e-06, 5.13630000e-06,\n",
+       "       4.46196667e-06, 4.13180000e-06, 4.16818333e-06, 2.00981667e-06,\n",
+       "       3.63261667e-06, 3.59959322e-06, 1.71566667e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jPropanal_CH2CH3_HCO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.794e-05 2.88e-05 ... 6.298e-06</div><input id='attrs-7353e066-1b97-443f-9878-e50f67e6559d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7353e066-1b97-443f-9878-e50f67e6559d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc1221cb-330f-4f58-8f5e-ae4a9841e5c6' class='xr-var-data-in' type='checkbox'><label for='data-dc1221cb-330f-4f58-8f5e-ae4a9841e5c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1.79420000e-05, 2.88033333e-05, 4.14330000e-05, 4.85721667e-05,\n",
+       "       5.06125000e-05, 5.04910000e-05, 5.11593333e-05, 5.78195000e-05,\n",
+       "       5.43865000e-05, 5.72551667e-05, 6.35525000e-05, 6.11455000e-05,\n",
+       "       7.14418966e-05, 8.83520000e-05, 8.11641667e-05, 3.83856897e-05,\n",
+       "       1.58182759e-05, 1.68561667e-05, 2.26501667e-05, 2.71176667e-05,\n",
+       "       2.27143333e-05, 1.91730000e-05, 2.02213333e-05, 1.88196667e-05,\n",
+       "       1.83760000e-05, 1.35648246e-05, 1.58058333e-05, 1.74845000e-05,\n",
+       "       1.56213333e-05, 1.46968333e-05, 1.45630000e-05, 7.17918333e-06,\n",
+       "       1.27976667e-05, 1.25580169e-05, 6.29800000e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jCH3OOH_CH3O_OH_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.354e-06 7.207e-06 ... 2.318e-06</div><input id='attrs-a3630863-cad5-4626-916f-d1b060c30a96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3630863-cad5-4626-916f-d1b060c30a96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc7ea7a6-0b60-458e-b8e4-987d1502c3f9' class='xr-var-data-in' type='checkbox'><label for='data-dc7ea7a6-0b60-458e-b8e4-987d1502c3f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([5.35430000e-06, 7.20723333e-06, 8.63321667e-06, 9.13961667e-06,\n",
+       "       9.29371667e-06, 9.25208333e-06, 9.36070000e-06, 1.06677667e-05,\n",
+       "       9.73278333e-06, 1.00186000e-05, 1.12171000e-05, 1.08176667e-05,\n",
+       "       1.27020690e-05, 1.56986667e-05, 1.48050000e-05, 9.04448276e-06,\n",
+       "       4.75337931e-06, 5.18416667e-06, 6.39808333e-06, 6.99000000e-06,\n",
+       "       6.17138333e-06, 5.59085000e-06, 5.94678333e-06, 5.81990000e-06,\n",
+       "       5.68888333e-06, 4.24401754e-06, 4.92080000e-06, 5.34793333e-06,\n",
+       "       5.11463333e-06, 5.00160000e-06, 4.76221667e-06, 2.49140000e-06,\n",
+       "       4.27491667e-06, 4.10059322e-06, 2.31766667e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jMeONO2_CH3O_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.345e-07 1.171e-06 ... 3.36e-07</div><input id='attrs-19c96ecd-9fc6-4e3c-9e62-a3865755871f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19c96ecd-9fc6-4e3c-9e62-a3865755871f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afaafef9-cbdd-451b-bdb2-e4da79a625c8' class='xr-var-data-in' type='checkbox'><label for='data-afaafef9-cbdd-451b-bdb2-e4da79a625c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([9.34485000e-07, 1.17073333e-06, 1.21673333e-06, 1.14991667e-06,\n",
+       "       1.13155000e-06, 1.13751667e-06, 1.16138333e-06, 1.30966667e-06,\n",
+       "       1.17783333e-06, 1.16595000e-06, 1.28421667e-06, 1.23028333e-06,\n",
+       "       1.44134483e-06, 1.79263333e-06, 1.80563333e-06, 1.43497586e-06,\n",
+       "       8.42503448e-07, 9.20156667e-07, 1.11931667e-06, 1.16153167e-06,\n",
+       "       1.04306500e-06, 9.75486667e-07, 1.06261333e-06, 9.89465000e-07,\n",
+       "       9.58795000e-07, 7.09192982e-07, 8.09425000e-07, 8.88593333e-07,\n",
+       "       8.17910000e-07, 7.65261667e-07, 7.40758333e-07, 3.73030000e-07,\n",
+       "       6.24271667e-07, 5.77123729e-07, 3.36000000e-07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jEthONO2_CH3CH2O_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.533e-06 1.896e-06 ... 5.609e-07</div><input id='attrs-c68c0070-9945-4645-b1d9-c3a868faf864' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c68c0070-9945-4645-b1d9-c3a868faf864' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31cb1c30-c8e2-420a-843d-7f42cfc1993b' class='xr-var-data-in' type='checkbox'><label for='data-31cb1c30-c8e2-420a-843d-7f42cfc1993b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1.53315000e-06, 1.89625000e-06, 1.93803333e-06, 1.81075000e-06,\n",
+       "       1.77571667e-06, 1.78605000e-06, 1.82425000e-06, 2.05751667e-06,\n",
+       "       1.84636667e-06, 1.82168333e-06, 2.00558333e-06, 1.92085000e-06,\n",
+       "       2.25177586e-06, 2.80216667e-06, 2.83293333e-06, 2.30944828e-06,\n",
+       "       1.38254828e-06, 1.51139500e-06, 1.82870000e-06, 1.88205000e-06,\n",
+       "       1.69826667e-06, 1.59721667e-06, 1.74143333e-06, 1.61756667e-06,\n",
+       "       1.56951667e-06, 1.16587193e-06, 1.33081667e-06, 1.45896667e-06,\n",
+       "       1.34196667e-06, 1.25485000e-06, 1.22001167e-06, 6.17526667e-07,\n",
+       "       1.02927167e-06, 9.50574576e-07, 5.60866667e-07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jPAN_CH3COO2_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.442e-07 6.377e-07 ... 2.224e-07</div><input id='attrs-6ac4b0ca-31fc-49e9-8e52-3f1f737621f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ac4b0ca-31fc-49e9-8e52-3f1f737621f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a404eb7-d635-4fbf-85d6-dc39249e0b33' class='xr-var-data-in' type='checkbox'><label for='data-5a404eb7-d635-4fbf-85d6-dc39249e0b33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([5.44150000e-07, 6.37680000e-07, 6.07700000e-07, 5.40716667e-07,\n",
+       "       5.21983333e-07, 5.25771667e-07, 5.36888333e-07, 6.08403333e-07,\n",
+       "       5.39316667e-07, 5.25198333e-07, 5.79908333e-07, 5.55678333e-07,\n",
+       "       6.55312069e-07, 8.17230000e-07, 8.30726667e-07, 7.51189655e-07,\n",
+       "       4.89950000e-07, 5.37811667e-07, 6.35246667e-07, 6.31670000e-07,\n",
+       "       5.83093333e-07, 5.61491667e-07, 6.12148333e-07, 5.66833333e-07,\n",
+       "       5.54518333e-07, 4.20970175e-07, 4.82171667e-07, 5.24446667e-07,\n",
+       "       4.84108333e-07, 4.55460000e-07, 4.50470000e-07, 2.35033333e-07,\n",
+       "       3.86955000e-07, 3.58510169e-07, 2.22433333e-07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jPAN_CH3COO_NO3_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.332e-07 2.733e-07 ... 9.534e-08</div><input id='attrs-e71a2777-6e86-46aa-91d4-d3f67a1db60d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e71a2777-6e86-46aa-91d4-d3f67a1db60d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2457ebed-d313-4183-82d6-da3efbd1a139' class='xr-var-data-in' type='checkbox'><label for='data-2457ebed-d313-4183-82d6-da3efbd1a139' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([2.33205000e-07, 2.73295000e-07, 2.60443333e-07, 2.31740000e-07,\n",
+       "       2.23708333e-07, 2.25331667e-07, 2.30098333e-07, 2.60746667e-07,\n",
+       "       2.31135000e-07, 2.25090000e-07, 2.48528333e-07, 2.38145000e-07,\n",
+       "       2.80846552e-07, 3.50241667e-07, 3.56018333e-07, 3.21950000e-07,\n",
+       "       2.09977586e-07, 2.30488333e-07, 2.72248333e-07, 2.70711667e-07,\n",
+       "       2.49898333e-07, 2.40643333e-07, 2.62346667e-07, 2.42926667e-07,\n",
+       "       2.37648333e-07, 1.80413860e-07, 2.06653333e-07, 2.24756667e-07,\n",
+       "       2.07475000e-07, 1.95196667e-07, 1.93060000e-07, 1.00730333e-07,\n",
+       "       1.65834500e-07, 1.53648814e-07, 9.53366667e-08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jMAC_NoProductsSpecified_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.008e-06 6.505e-06 ... 2.402e-06</div><input id='attrs-750ab903-bc1a-40ea-bbeb-161707ae8738' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-750ab903-bc1a-40ea-bbeb-161707ae8738' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f55e4c25-7133-417c-bb94-497a40e958fb' class='xr-var-data-in' type='checkbox'><label for='data-f55e4c25-7133-417c-bb94-497a40e958fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([5.00765000e-06, 6.50518333e-06, 7.60966667e-06, 7.99551667e-06,\n",
+       "       8.11148333e-06, 8.07606667e-06, 8.17440000e-06, 9.38300000e-06,\n",
+       "       8.49675000e-06, 8.75115000e-06, 9.85953333e-06, 9.52178333e-06,\n",
+       "       1.12361552e-05, 1.38951667e-05, 1.29858333e-05, 8.05746552e-06,\n",
+       "       4.44696552e-06, 4.88238333e-06, 5.91083333e-06, 6.33020000e-06,\n",
+       "       5.67093333e-06, 5.21096667e-06, 5.50896667e-06, 5.43123333e-06,\n",
+       "       5.34616667e-06, 4.07010526e-06, 4.73748333e-06, 5.08395000e-06,\n",
+       "       4.91816667e-06, 4.86516667e-06, 4.66743333e-06, 2.51190000e-06,\n",
+       "       4.27356667e-06, 4.11767797e-06, 2.40233333e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jMVK_NoProductsSpecified_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.584e-06 7.57e-06 ... 1.979e-06</div><input id='attrs-2d8ab236-c615-47b4-8dea-dbdcd2571ec6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d8ab236-c615-47b4-8dea-dbdcd2571ec6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-494d3a5c-12be-4483-afe6-cf43101005bb' class='xr-var-data-in' type='checkbox'><label for='data-494d3a5c-12be-4483-afe6-cf43101005bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([4.58355000e-06, 7.56993333e-06, 1.17240667e-05, 1.46028333e-05,\n",
+       "       1.54230000e-05, 1.53941667e-05, 1.55880000e-05, 1.77578333e-05,\n",
+       "       1.69028333e-05, 1.81610000e-05, 2.02908333e-05, 1.95568333e-05,\n",
+       "       2.30105172e-05, 2.84985000e-05, 2.50116667e-05, 1.00601897e-05,\n",
+       "       3.99396552e-06, 4.24638333e-06, 5.72286667e-06, 6.93858333e-06,\n",
+       "       5.83311667e-06, 4.88145000e-06, 5.05208333e-06, 4.66543333e-06,\n",
+       "       4.64986667e-06, 3.58956140e-06, 4.25268333e-06, 4.63176667e-06,\n",
+       "       4.10593333e-06, 3.91785000e-06, 4.06296667e-06, 2.10764667e-06,\n",
+       "       3.76036667e-06, 3.79933898e-06, 1.97900000e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jAcetone_CH3CO_CH3_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.989e-07 7.012e-07 ... 1.45e-07</div><input id='attrs-44b47b20-a225-4473-93c0-28da763be717' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44b47b20-a225-4473-93c0-28da763be717' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bac66362-588d-4896-9dcc-9c6b064a3c3f' class='xr-var-data-in' type='checkbox'><label for='data-bac66362-588d-4896-9dcc-9c6b064a3c3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([4.98950000e-07, 7.01176667e-07, 8.34245000e-07, 8.75061667e-07,\n",
+       "       8.87058333e-07, 9.03748333e-07, 9.37250000e-07, 1.04812333e-06,\n",
+       "       9.91596667e-07, 1.02730000e-06, 1.11424667e-06, 1.06149000e-06,\n",
+       "       1.23894828e-06, 1.55033333e-06, 1.49038333e-06, 9.04205172e-07,\n",
+       "       4.53050000e-07, 4.87115000e-07, 6.33433333e-07, 6.89461667e-07,\n",
+       "       6.00568333e-07, 5.38505000e-07, 5.79635000e-07, 4.85886667e-07,\n",
+       "       4.75278333e-07, 3.62866842e-07, 4.15660000e-07, 4.55663333e-07,\n",
+       "       3.75630000e-07, 3.26568333e-07, 3.50008333e-07, 1.68449500e-07,\n",
+       "       2.83328333e-07, 2.62988136e-07, 1.45000000e-07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jMEK_CH3CO_CH2CH3_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.991e-06 8.218e-06 ... 1.72e-06</div><input id='attrs-93e964b9-7f4f-453f-9643-e8f89b310981' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93e964b9-7f4f-453f-9643-e8f89b310981' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd900937-11d5-4b41-898b-fc36f094fd8e' class='xr-var-data-in' type='checkbox'><label for='data-bd900937-11d5-4b41-898b-fc36f094fd8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([4.99070000e-06, 8.21811667e-06, 1.21718333e-05, 1.45063333e-05,\n",
+       "       1.51775000e-05, 1.51553333e-05, 1.53788333e-05, 1.73476667e-05,\n",
+       "       1.63886667e-05, 1.73020000e-05, 1.91595000e-05, 1.84178333e-05,\n",
+       "       2.14832759e-05, 2.65745000e-05, 2.44195000e-05, 1.10877586e-05,\n",
+       "       4.39562069e-06, 4.67006667e-06, 6.35411667e-06, 7.70650000e-06,\n",
+       "       6.40638333e-06, 5.35188333e-06, 5.62963333e-06, 5.20073333e-06,\n",
+       "       5.08380000e-06, 3.75877193e-06, 4.38501667e-06, 4.85433333e-06,\n",
+       "       4.30050000e-06, 4.03021667e-06, 4.01821667e-06, 1.97150500e-06,\n",
+       "       3.52580000e-06, 3.46722034e-06, 1.71966667e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jHydroxyacetone_CH3CO_CH3O_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.034e-07 1.276e-06 ... 3.245e-07</div><input id='attrs-f924c880-5e1b-4c55-a250-a385b2d4eed7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f924c880-5e1b-4c55-a250-a385b2d4eed7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-644fc23b-9c12-47e0-9a80-ba02c6aa5e27' class='xr-var-data-in' type='checkbox'><label for='data-644fc23b-9c12-47e0-9a80-ba02c6aa5e27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([9.03390000e-07, 1.27630000e-06, 1.58058333e-06, 1.69485000e-06,\n",
+       "       1.73081667e-06, 1.72490000e-06, 1.74798333e-06, 1.97395000e-06,\n",
+       "       1.81730000e-06, 1.87021667e-06, 2.07563333e-06, 1.99731667e-06,\n",
+       "       2.32905172e-06, 2.87728333e-06, 2.75523333e-06, 1.64621034e-06,\n",
+       "       8.05674138e-07, 8.72540000e-07, 1.10759333e-06, 1.24236667e-06,\n",
+       "       1.07307500e-06, 9.52501667e-07, 1.02181667e-06, 9.88236667e-07,\n",
+       "       9.54176667e-07, 6.89821053e-07, 7.93438333e-07, 8.76436667e-07,\n",
+       "       8.23925000e-07, 7.89805000e-07, 7.40745000e-07, 3.68978333e-07,\n",
+       "       6.40661667e-07, 6.08111864e-07, 3.24500000e-07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jHydroxyacetone_CH3COO_CH3_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.034e-07 1.276e-06 ... 3.245e-07</div><input id='attrs-8e5180c2-a261-4787-a819-8fad9b94e532' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e5180c2-a261-4787-a819-8fad9b94e532' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd523b47-de01-4b55-ac01-68cfe9edada4' class='xr-var-data-in' type='checkbox'><label for='data-dd523b47-de01-4b55-ac01-68cfe9edada4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([9.03390000e-07, 1.27630000e-06, 1.58058333e-06, 1.69485000e-06,\n",
+       "       1.73081667e-06, 1.72490000e-06, 1.74798333e-06, 1.97395000e-06,\n",
+       "       1.81730000e-06, 1.87021667e-06, 2.07563333e-06, 1.99731667e-06,\n",
+       "       2.32905172e-06, 2.87728333e-06, 2.75523333e-06, 1.64621034e-06,\n",
+       "       8.05674138e-07, 8.72540000e-07, 1.10759333e-06, 1.24236667e-06,\n",
+       "       1.07307500e-06, 9.52501667e-07, 1.02181667e-06, 9.88236667e-07,\n",
+       "       9.54176667e-07, 6.89821053e-07, 7.93438333e-07, 8.76436667e-07,\n",
+       "       8.23925000e-07, 7.89805000e-07, 7.40745000e-07, 3.68978333e-07,\n",
+       "       6.40661667e-07, 6.08111864e-07, 3.24500000e-07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jCHOCHO_HCO_HCO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.46e-05 9.205e-05 ... 3.827e-05</div><input id='attrs-aa3ff6af-1251-4e07-8413-70ca7e9902f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa3ff6af-1251-4e07-8413-70ca7e9902f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edcdeed6-247d-43fb-8f01-2dee81b380b7' class='xr-var-data-in' type='checkbox'><label for='data-edcdeed6-247d-43fb-8f01-2dee81b380b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([7.45960000e-05, 9.20486667e-05, 1.04993333e-04, 1.09851667e-04,\n",
+       "       1.11413333e-04, 1.11008333e-04, 1.12628333e-04, 1.30476667e-04,\n",
+       "       1.16466667e-04, 1.20205000e-04, 1.36645000e-04, 1.31913333e-04,\n",
+       "       1.56843103e-04, 1.94725000e-04, 1.81498333e-04, 1.14145000e-04,\n",
+       "       6.57582759e-05, 7.31375000e-05, 8.68158333e-05, 9.09691667e-05,\n",
+       "       8.27561667e-05, 7.72341667e-05, 8.08691667e-05, 7.98358333e-05,\n",
+       "       7.91151667e-05, 6.21807018e-05, 7.21881667e-05, 7.56901667e-05,\n",
+       "       7.38376667e-05, 7.35426667e-05, 7.12340000e-05, 3.95235000e-05,\n",
+       "       6.57576667e-05, 6.33700000e-05, 3.82700000e-05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jCHOCHO_H2_2CO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.629e-05 2.233e-05 ... 6.703e-06</div><input id='attrs-21a11c80-39a0-46a6-b7bd-880d6d1be02f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21a11c80-39a0-46a6-b7bd-880d6d1be02f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3569953c-9e43-429c-a8cc-9e3bc3b19289' class='xr-var-data-in' type='checkbox'><label for='data-3569953c-9e43-429c-a8cc-9e3bc3b19289' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1.62920000e-05, 2.23300000e-05, 2.70296667e-05, 2.86895000e-05,\n",
+       "       2.91925000e-05, 2.90503333e-05, 2.93695000e-05, 3.33655000e-05,\n",
+       "       3.05478333e-05, 3.14350000e-05, 3.51005000e-05, 3.38376667e-05,\n",
+       "       3.96468966e-05, 4.89786667e-05, 4.63290000e-05, 2.81144828e-05,\n",
+       "       1.44497931e-05, 1.56944833e-05, 1.95553333e-05, 2.15776667e-05,\n",
+       "       1.89245000e-05, 1.70251667e-05, 1.81660000e-05, 1.77228333e-05,\n",
+       "       1.72713333e-05, 1.27498421e-05, 1.47633333e-05, 1.61670000e-05,\n",
+       "       1.53698333e-05, 1.49473333e-05, 1.41831667e-05, 7.30640000e-06,\n",
+       "       1.26122167e-05, 1.20778475e-05, 6.70266667e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jCHOCHO_CH2O_CO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.939e-05 3.971e-05 ... 1.254e-05</div><input id='attrs-31db4d94-4307-47c3-89f9-835b77a3923a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31db4d94-4307-47c3-89f9-835b77a3923a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3491ff25-5eb9-4c78-8126-a9c8d730aba6' class='xr-var-data-in' type='checkbox'><label for='data-3491ff25-5eb9-4c78-8126-a9c8d730aba6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([2.93935000e-05, 3.97116667e-05, 4.76926667e-05, 5.05131667e-05,\n",
+       "       5.13696667e-05, 5.11236667e-05, 5.16956667e-05, 5.88766667e-05,\n",
+       "       5.37355000e-05, 5.53136667e-05, 6.19065000e-05, 5.96943333e-05,\n",
+       "       7.00760345e-05, 8.66213333e-05, 8.17500000e-05, 4.98520690e-05,\n",
+       "       2.60365517e-05, 2.83708333e-05, 3.51013333e-05, 3.84603333e-05,\n",
+       "       3.39073333e-05, 3.06628333e-05, 3.26315000e-05, 3.18923333e-05,\n",
+       "       3.11618333e-05, 2.32195088e-05, 2.69026667e-05, 2.92773333e-05,\n",
+       "       2.79396667e-05, 2.72755000e-05, 2.59690000e-05, 1.35382167e-05,\n",
+       "       2.32360667e-05, 2.22794915e-05, 1.25366667e-05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jCH3COCHO_CH3CO_HCO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0001401 0.0001822 ... 7.004e-05</div><input id='attrs-9677aedf-8bd3-423a-b645-258f0bfe410c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9677aedf-8bd3-423a-b645-258f0bfe410c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fc2be97-f5a5-4de2-83a6-f4c61686910c' class='xr-var-data-in' type='checkbox'><label for='data-3fc2be97-f5a5-4de2-83a6-f4c61686910c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1.40070000e-04, 1.82215000e-04, 2.22246667e-04, 2.45096667e-04,\n",
+       "       2.52146667e-04, 2.51681667e-04, 2.55785000e-04, 2.96266667e-04,\n",
+       "       2.69265000e-04, 2.82905000e-04, 3.21186667e-04, 3.09891667e-04,\n",
+       "       3.68731034e-04, 4.58280000e-04, 4.15175000e-04, 2.29815517e-04,\n",
+       "       1.24048966e-04, 1.36965833e-04, 1.65845000e-04, 1.78028333e-04,\n",
+       "       1.59577333e-04, 1.46195667e-04, 1.52908333e-04, 1.49651667e-04,\n",
+       "       1.48210000e-04, 1.15621579e-04, 1.34834167e-04, 1.42335000e-04,\n",
+       "       1.37053333e-04, 1.35675000e-04, 1.32503333e-04, 7.26296667e-05,\n",
+       "       1.22597333e-04, 1.19084576e-04, 7.00400000e-05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>j23Butanedione_NoProductsSpecified_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0002975 0.0003365 ... 0.0001694</div><input id='attrs-b39fc61d-7a48-4387-a266-3b592242c08f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b39fc61d-7a48-4387-a266-3b592242c08f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cb1289d-dd9d-4164-821e-52c776bc7548' class='xr-var-data-in' type='checkbox'><label for='data-2cb1289d-dd9d-4164-821e-52c776bc7548' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.00029749, 0.00033654, 0.00036611, 0.00037873, 0.00038415,\n",
+       "       0.00038282, 0.0003884 , 0.00045771, 0.00039706, 0.0004118 ,\n",
+       "       0.00047695, 0.00046011, 0.00055608, 0.00069645, 0.0006439 ,\n",
+       "       0.00041406, 0.00025638, 0.00029049, 0.0003354 , 0.00034012,\n",
+       "       0.00031758, 0.00030313, 0.00031165, 0.00030672, 0.00030824,\n",
+       "       0.0002572 , 0.0002973 , 0.00030026, 0.00029472, 0.00029602,\n",
+       "       0.00029347, 0.00017139, 0.0002746 , 0.00026608, 0.00016943])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jCl2_Cl_Cl_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.002303 0.002929 ... 0.001141</div><input id='attrs-741ff006-c09c-4fb3-9774-2513066aa812' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-741ff006-c09c-4fb3-9774-2513066aa812' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-872a0cf0-4a20-4bdd-bc2d-a6e44ad97ee9' class='xr-var-data-in' type='checkbox'><label for='data-872a0cf0-4a20-4bdd-bc2d-a6e44ad97ee9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.0023033 , 0.00292907, 0.00339277, 0.00355897, 0.00361073,\n",
+       "       0.00359551, 0.00364063, 0.00419264, 0.00377727, 0.00389385,\n",
+       "       0.0044018 , 0.00425062, 0.00503047, 0.0062299 , 0.00581374,\n",
+       "       0.00362553, 0.00203797, 0.0022489 , 0.00270043, 0.00286599,\n",
+       "       0.00258419, 0.00238971, 0.00251575, 0.00248046, 0.00244935,\n",
+       "       0.00189212, 0.00220012, 0.00233759, 0.00226797, 0.00224964,\n",
+       "       0.00216947, 0.00118464, 0.00199436, 0.0019232 , 0.00114073])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jClO_Cl_O3P_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.048e-05 6.782e-05 ... 1.476e-05</div><input id='attrs-b3e90a59-c92c-4e44-aac9-92c8f6245f21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3e90a59-c92c-4e44-aac9-92c8f6245f21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79e2dca4-e858-4fa7-a86a-e66df4ce77c6' class='xr-var-data-in' type='checkbox'><label for='data-79e2dca4-e858-4fa7-a86a-e66df4ce77c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([5.04775000e-05, 6.78180000e-05, 7.75275000e-05, 7.91015000e-05,\n",
+       "       7.99120000e-05, 8.02548333e-05, 8.21495000e-05, 9.19825000e-05,\n",
+       "       8.43570000e-05, 8.53978333e-05, 9.36131667e-05, 8.96366667e-05,\n",
+       "       1.03969655e-04, 1.28865000e-04, 1.28965000e-04, 8.82112069e-05,\n",
+       "       4.59548276e-05, 5.00763333e-05, 6.30046667e-05, 6.81555000e-05,\n",
+       "       5.92976667e-05, 5.37586667e-05, 5.86111667e-05, 5.45943333e-05,\n",
+       "       5.21370000e-05, 3.73184211e-05, 4.22323333e-05, 4.67446667e-05,\n",
+       "       4.27128333e-05, 3.94100000e-05, 3.70898333e-05, 1.77549000e-05,\n",
+       "       3.01060000e-05, 2.75045763e-05, 1.47633333e-05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jClNO2_Cl_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0003482 0.0004429 ... 0.0001564</div><input id='attrs-e9740cdc-3235-4f08-b5ce-f6169c1cd283' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9740cdc-3235-4f08-b5ce-f6169c1cd283' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9304fe9c-caac-41c6-b04a-05f518eae816' class='xr-var-data-in' type='checkbox'><label for='data-9304fe9c-caac-41c6-b04a-05f518eae816' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.00034818, 0.00044289, 0.00048528, 0.00048612, 0.00048672,\n",
+       "       0.00048582, 0.00049236, 0.0005619 , 0.00050724, 0.00051482,\n",
+       "       0.00057586, 0.00055485, 0.00065357, 0.00080972, 0.00077492,\n",
+       "       0.00053794, 0.00030864, 0.00033737, 0.00040926, 0.00043249,\n",
+       "       0.00039145, 0.00036274, 0.00038492, 0.00037584, 0.00036936,\n",
+       "       0.00027839, 0.00032317, 0.00034958, 0.00033441, 0.00032783,\n",
+       "       0.00031475, 0.00016645, 0.0002837 , 0.00026995, 0.00015643])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jClONO_Cl_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.004068 0.005386 ... 0.001855</div><input id='attrs-4bcd969e-797e-4fe3-b7fe-e9789fb68516' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bcd969e-797e-4fe3-b7fe-e9789fb68516' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e2af0ff-9feb-4bf4-8c1d-af2de881c9ae' class='xr-var-data-in' type='checkbox'><label for='data-4e2af0ff-9feb-4bf4-8c1d-af2de881c9ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.00406787, 0.00538556, 0.00637867, 0.00672649, 0.00683117,\n",
+       "       0.00679966, 0.00687847, 0.00786529, 0.00715095, 0.0073627 ,\n",
+       "       0.00826838, 0.00797995, 0.00939271, 0.0116111 , 0.01089867,\n",
+       "       0.00670768, 0.00360914, 0.00394735, 0.00482707, 0.00522543,\n",
+       "       0.00464637, 0.00423771, 0.00449458, 0.0044148 , 0.0043309 ,\n",
+       "       0.00326292, 0.00379115, 0.00409688, 0.0039395 , 0.00387475,\n",
+       "       0.00370415, 0.00196521, 0.00335891, 0.0032302 , 0.00185467])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jClONO2_Cl_NO3_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.137e-05 4.951e-05 ... 2.044e-05</div><input id='attrs-746a6400-1e58-4cda-b622-3c2f22e11dbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-746a6400-1e58-4cda-b622-3c2f22e11dbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80ea1e49-5324-46a7-8850-893766176a8a' class='xr-var-data-in' type='checkbox'><label for='data-80ea1e49-5324-46a7-8850-893766176a8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([4.13745000e-05, 4.95138333e-05, 5.25086667e-05, 5.19295000e-05,\n",
+       "       5.18271667e-05, 5.18106667e-05, 5.26600000e-05, 6.06425000e-05,\n",
+       "       5.40213333e-05, 5.47936667e-05, 6.17768333e-05, 5.95366667e-05,\n",
+       "       7.06268966e-05, 8.77423333e-05, 8.37028333e-05, 5.98418966e-05,\n",
+       "       3.67858621e-05, 4.07743333e-05, 4.79878333e-05, 4.89393333e-05,\n",
+       "       4.49943333e-05, 4.27135000e-05, 4.53375000e-05, 4.38083333e-05,\n",
+       "       4.33241667e-05, 3.38454386e-05, 3.91815000e-05, 4.14963333e-05,\n",
+       "       3.98258333e-05, 3.90398333e-05, 3.82313333e-05, 2.09900000e-05,\n",
+       "       3.47075000e-05, 3.30684746e-05, 2.04433333e-05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jClONO2_ClO_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.202e-06 1.038e-05 ... 3.367e-06</div><input id='attrs-77f6c684-dcac-4c74-a50e-ab69a023f07a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77f6c684-dcac-4c74-a50e-ab69a023f07a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ce10049-da66-40ca-b18e-6199b27331f1' class='xr-var-data-in' type='checkbox'><label for='data-7ce10049-da66-40ca-b18e-6199b27331f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([8.20245000e-06, 1.03840333e-05, 1.12480000e-05, 1.11081667e-05,\n",
+       "       1.10848333e-05, 1.10826667e-05, 1.12505000e-05, 1.27661667e-05,\n",
+       "       1.15531667e-05, 1.16621667e-05, 1.29675000e-05, 1.24721667e-05,\n",
+       "       1.46396552e-05, 1.81436667e-05, 1.76306667e-05, 1.26711724e-05,\n",
+       "       7.33303448e-06, 8.01010000e-06, 9.70785000e-06, 1.01662333e-05,\n",
+       "       9.14555000e-06, 8.51811667e-06, 9.18898333e-06, 8.72806667e-06,\n",
+       "       8.52250000e-06, 6.38377193e-06, 7.35043333e-06, 8.01846667e-06,\n",
+       "       7.51005000e-06, 7.18285000e-06, 6.96033333e-06, 3.61068333e-06,\n",
+       "       6.08100000e-06, 5.72545763e-06, 3.36700000e-06])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jBr2_Br_Br_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03375 0.03718 ... 0.03061 0.01978</div><input id='attrs-acfe03d5-cfb3-42f7-873c-1b59222e2cf6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acfe03d5-cfb3-42f7-873c-1b59222e2cf6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55ed0b03-e0a9-4f8f-84a5-5181fe55cde9' class='xr-var-data-in' type='checkbox'><label for='data-55ed0b03-e0a9-4f8f-84a5-5181fe55cde9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.033752  , 0.03718342, 0.03993232, 0.04122482, 0.04197412,\n",
+       "       0.04187352, 0.04230643, 0.05007638, 0.04303992, 0.04480925,\n",
+       "       0.05226192, 0.05040135, 0.06132807, 0.07707928, 0.07109992,\n",
+       "       0.04593267, 0.02891764, 0.03287132, 0.0378335 , 0.03815217,\n",
+       "       0.03581945, 0.03412473, 0.03470913, 0.03388097, 0.03427273,\n",
+       "       0.02950304, 0.03401878, 0.033695  , 0.03294205, 0.0330585 ,\n",
+       "       0.03324442, 0.01999558, 0.03124085, 0.03060871, 0.01978433])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jBrO_Br_O_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03615 0.04751 ... 0.02939 0.017</div><input id='attrs-148242ab-dbe0-45e0-926f-7ba64526b219' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-148242ab-dbe0-45e0-926f-7ba64526b219' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0177b1bc-08f4-4c38-bb5b-dddc4460aa50' class='xr-var-data-in' type='checkbox'><label for='data-0177b1bc-08f4-4c38-bb5b-dddc4460aa50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.03614925, 0.04751087, 0.05591822, 0.05880118, 0.0596516 ,\n",
+       "       0.059355  , 0.06000462, 0.06872718, 0.06240503, 0.06425402,\n",
+       "       0.07227497, 0.0698018 , 0.08226483, 0.10168007, 0.0950831 ,\n",
+       "       0.05877579, 0.03205069, 0.03507353, 0.04269002, 0.0460086 ,\n",
+       "       0.0410723 , 0.03758797, 0.03981848, 0.03920688, 0.03854663,\n",
+       "       0.02916592, 0.03394893, 0.03663387, 0.03532142, 0.03486232,\n",
+       "       0.03340828, 0.01784684, 0.03049322, 0.02938778, 0.01699933])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jHOBr_OH_Br_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.002231 0.002697 ... 0.001181</div><input id='attrs-ab755e9f-77a6-4e01-8825-0393d2ca292f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab755e9f-77a6-4e01-8825-0393d2ca292f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24dc0220-0f6f-406a-aa0c-d21efb19ece8' class='xr-var-data-in' type='checkbox'><label for='data-24dc0220-0f6f-406a-aa0c-d21efb19ece8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.00223077, 0.00269724, 0.00304651, 0.00318131, 0.00323189,\n",
+       "       0.00322172, 0.00326392, 0.00379451, 0.00336644, 0.00348047,\n",
+       "       0.0039749 , 0.00383706, 0.00458164, 0.00570036, 0.00529984,\n",
+       "       0.00334536, 0.00195708, 0.00218251, 0.00257771, 0.00268385,\n",
+       "       0.00245618, 0.00229847, 0.00239185, 0.0023552 , 0.00234424,\n",
+       "       0.00187746, 0.00217717, 0.00225622, 0.0022006 , 0.00219497,\n",
+       "       0.0021441 , 0.00121163, 0.00198784, 0.00192539, 0.00118067])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jBrNO_Br_NO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02238 0.02479 ... 0.02032 0.01307</div><input id='attrs-22f2b1a8-7caf-4a48-be1f-a6a47c387cac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22f2b1a8-7caf-4a48-be1f-a6a47c387cac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ef2123b-2324-41d6-8965-8dc81788e4a6' class='xr-var-data-in' type='checkbox'><label for='data-8ef2123b-2324-41d6-8965-8dc81788e4a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.0223821 , 0.02478932, 0.02665503, 0.02747382, 0.0279611 ,\n",
+       "       0.02789817, 0.0280813 , 0.03312302, 0.02864483, 0.02986025,\n",
+       "       0.03463495, 0.03339982, 0.04058469, 0.05094343, 0.04704263,\n",
+       "       0.03048172, 0.01920783, 0.0218663 , 0.02535502, 0.02569347,\n",
+       "       0.02394033, 0.02260042, 0.0229123 , 0.0221703 , 0.02243512,\n",
+       "       0.01956541, 0.02254838, 0.0222003 , 0.02152267, 0.0214882 ,\n",
+       "       0.021782  , 0.01330914, 0.0205403 , 0.02032129, 0.013065  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jBrONO_Br_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01112 0.01474 ... 0.008885 0.0051</div><input id='attrs-a7afdf4d-23e9-4348-9fe0-6caf6213cc8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7afdf4d-23e9-4348-9fe0-6caf6213cc8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57a0cc3e-f477-4ea6-8dc2-70c190bc493e' class='xr-var-data-in' type='checkbox'><label for='data-57a0cc3e-f477-4ea6-8dc2-70c190bc493e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.011117  , 0.01474407, 0.01745692, 0.01839088, 0.01866752,\n",
+       "       0.01857432, 0.01877642, 0.02146765, 0.0195294 , 0.02010583,\n",
+       "       0.02258025, 0.0217995 , 0.02565952, 0.03171067, 0.02971923,\n",
+       "       0.01829812, 0.00985681, 0.01076723, 0.01316933, 0.01426536,\n",
+       "       0.01268843, 0.01157066, 0.01227655, 0.01206683, 0.01184288,\n",
+       "       0.00891447, 0.01036735, 0.01122395, 0.01079148, 0.01062158,\n",
+       "       0.01015933, 0.005389  , 0.00922857, 0.00888489, 0.00509983])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jBrONO_BrO_NO_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01112 0.01474 ... 0.008885 0.0051</div><input id='attrs-4222f67a-cea6-4741-9dae-0b9a1bee2d06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4222f67a-cea6-4741-9dae-0b9a1bee2d06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f3e1d75-4e43-40cf-b079-3bfd3fe426ad' class='xr-var-data-in' type='checkbox'><label for='data-4f3e1d75-4e43-40cf-b079-3bfd3fe426ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.011117  , 0.01474407, 0.01745692, 0.01839088, 0.01866752,\n",
+       "       0.01857432, 0.01877642, 0.02146765, 0.0195294 , 0.02010583,\n",
+       "       0.02258025, 0.0217995 , 0.02565952, 0.03171067, 0.02971923,\n",
+       "       0.01829812, 0.00985681, 0.01076723, 0.01316933, 0.01426536,\n",
+       "       0.01268843, 0.01157066, 0.01227655, 0.01206683, 0.01184288,\n",
+       "       0.00891447, 0.01036735, 0.01122395, 0.01079148, 0.01062158,\n",
+       "       0.01015933, 0.005389  , 0.00922857, 0.00888489, 0.00509983])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jBrNO2_Br_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.004796 0.005695 ... 0.002598</div><input id='attrs-5b919c18-be9f-4856-a108-0a07feebba1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b919c18-be9f-4856-a108-0a07feebba1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94d320fc-67ad-437a-a095-0c4ce623322c' class='xr-var-data-in' type='checkbox'><label for='data-94d320fc-67ad-437a-a095-0c4ce623322c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.00479572, 0.00569509, 0.00635724, 0.00661532, 0.00670652,\n",
+       "       0.00668398, 0.00678471, 0.00791848, 0.00698764, 0.00722433,\n",
+       "       0.00827529, 0.00798822, 0.00956101, 0.01190817, 0.01105247,\n",
+       "       0.00702796, 0.0041944 , 0.00470417, 0.00550941, 0.00568188,\n",
+       "       0.00523078, 0.00493524, 0.00512793, 0.0050628 , 0.00504755,\n",
+       "       0.00406943, 0.00471911, 0.00486866, 0.00476965, 0.00477343,\n",
+       "       0.0046683 , 0.0026519 , 0.00434401, 0.00419651, 0.00259773])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jBrONO2_BrO_NO2_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0002095 0.0002568 ... 0.0001084</div><input id='attrs-1168d7fb-049d-49d8-aaaa-810b9ef22016' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1168d7fb-049d-49d8-aaaa-810b9ef22016' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8baa1a28-e35e-4ad2-aefb-19633d59f57c' class='xr-var-data-in' type='checkbox'><label for='data-8baa1a28-e35e-4ad2-aefb-19633d59f57c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.0002095 , 0.00025681, 0.00029224, 0.00030558, 0.00031024,\n",
+       "       0.00030913, 0.00031324, 0.00036318, 0.00032348, 0.00033413,\n",
+       "       0.00038046, 0.00036721, 0.00043736, 0.0005436 , 0.00050637,\n",
+       "       0.00031841, 0.00018393, 0.00020468, 0.0002429 , 0.00025434,\n",
+       "       0.00023172, 0.00021621, 0.00022577, 0.00022231, 0.00022073,\n",
+       "       0.00017502, 0.00020299, 0.00021179, 0.00020621, 0.00020527,\n",
+       "       0.00019978, 0.00011172, 0.00018454, 0.00017833, 0.00010837])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jBrONO2_Br_NO3_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001187 0.001455 ... 0.000614</div><input id='attrs-d93c9a75-59fc-4f6c-8975-31411c82b725' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d93c9a75-59fc-4f6c-8975-31411c82b725' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fffe610-d45c-404a-9217-8ee8c9e86231' class='xr-var-data-in' type='checkbox'><label for='data-6fffe610-d45c-404a-9217-8ee8c9e86231' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.00118713, 0.0014552 , 0.00165599, 0.00173163, 0.00175804,\n",
+       "       0.00175173, 0.00177504, 0.00205799, 0.00183304, 0.00189338,\n",
+       "       0.00215587, 0.00208085, 0.00247836, 0.00308039, 0.0028694 ,\n",
+       "       0.00180432, 0.00104226, 0.00115986, 0.00137643, 0.00144123,\n",
+       "       0.00131309, 0.0012252 , 0.00127938, 0.00125977, 0.00125074,\n",
+       "       0.0009918 , 0.00115029, 0.00120022, 0.00116851, 0.00116321,\n",
+       "       0.00113204, 0.00063309, 0.00104575, 0.00101049, 0.00061403])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jBrCl_Br_Cl_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01099 0.01269 ... 0.006163</div><input id='attrs-15dbb4ea-57eb-46b2-bfe7-2602e2317c99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15dbb4ea-57eb-46b2-bfe7-2602e2317c99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fa8eac8-1b7e-4b80-904d-7acf7be2ab40' class='xr-var-data-in' type='checkbox'><label for='data-1fa8eac8-1b7e-4b80-904d-7acf7be2ab40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([0.0109915 , 0.01268682, 0.01395823, 0.0144889 , 0.01471473,\n",
+       "       0.01467502, 0.01487863, 0.01746   , 0.01526267, 0.01581813,\n",
+       "       0.01824108, 0.0176053 , 0.02119624, 0.02647972, 0.02451083,\n",
+       "       0.01568397, 0.00956166, 0.01077351, 0.01252182, 0.01279246,\n",
+       "       0.01187311, 0.01125078, 0.01159931, 0.01142018, 0.01144672,\n",
+       "       0.00944534, 0.01093441, 0.01111095, 0.01089411, 0.01092477,\n",
+       "       0.01078432, 0.00625897, 0.01007968, 0.00978757, 0.00616297])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jCHBr3_NoProductsSpecified_CAFS_HALL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.34e-06 1.616e-06 ... 4.427e-07</div><input id='attrs-8ae62d92-20dd-4a0a-84e8-b3b13bf8e020' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ae62d92-20dd-4a0a-84e8-b3b13bf8e020' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-682f6f05-e489-424e-90b4-8373e8469601' class='xr-var-data-in' type='checkbox'><label for='data-682f6f05-e489-424e-90b4-8373e8469601' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>/s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([1.33960000e-06, 1.61586667e-06, 1.43678333e-06, 1.21578333e-06,\n",
+       "       1.15723333e-06, 1.17151667e-06, 1.20288333e-06, 1.35775000e-06,\n",
+       "       1.19536667e-06, 1.14480000e-06, 1.25546667e-06, 1.19946667e-06,\n",
+       "       1.41329310e-06, 1.76756667e-06, 1.85420000e-06, 1.89259138e-06,\n",
+       "       1.19280690e-06, 1.28082667e-06, 1.58355000e-06, 1.62326667e-06,\n",
+       "       1.50754667e-06, 1.45506333e-06, 1.52126667e-06, 1.44193333e-06,\n",
+       "       1.42783333e-06, 1.01534561e-06, 1.16242667e-06, 1.32536667e-06,\n",
+       "       1.18286667e-06, 1.12853333e-06, 1.10489333e-06, 5.15075000e-07,\n",
+       "       9.18541667e-07, 8.17689831e-07, 4.42666667e-07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smoke_age_HOLMES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9dbce424-350a-487b-b6b5-4462cac36164' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9dbce424-350a-487b-b6b5-4462cac36164' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2afd6f1-5713-4d11-a830-c9b57ff37dc3' class='xr-var-data-in' type='checkbox'><label for='data-c2afd6f1-5713-4d11-a830-c9b57ff37dc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smoke_age_corr_HOLMES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-623e69e9-837c-428e-82d9-e93b2592dc2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-623e69e9-837c-428e-82d9-e93b2592dc2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6335f8c6-7ad6-41c2-af4c-2cb080e10173' class='xr-var-data-in' type='checkbox'><label for='data-6335f8c6-7ad6-41c2-af4c-2cb080e10173' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smoke_age_rise_HOLMES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d012f47b-444d-4546-8d36-2a78c9c485d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d012f47b-444d-4546-8d36-2a78c9c485d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbdeceaa-3208-4278-b369-b0833ba0c4df' class='xr-var-data-in' type='checkbox'><label for='data-dbdeceaa-3208-4278-b369-b0833ba0c4df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smoke_rise_HOLMES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0c217fc8-1552-47cb-8ea1-5f0cfa8df192' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c217fc8-1552-47cb-8ea1-5f0cfa8df192' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91119e5c-139d-4dec-8c84-b306aa7170d9' class='xr-var-data-in' type='checkbox'><label for='data-91119e5c-139d-4dec-8c84-b306aa7170d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fire_distance_HOLMES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-dbee8186-de8f-434c-a527-a5c9ef0b9012' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbee8186-de8f-434c-a527-a5c9ef0b9012' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3b1f50e-46b3-46a6-af54-9b45b5fd3722' class='xr-var-data-in' type='checkbox'><label for='data-b3b1f50e-46b3-46a6-af54-9b45b5fd3722' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smoke_agemethod_HOLMES</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-73346166-c954-4e87-bfd5-78f6f531faf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73346166-c954-4e87-bfd5-78f6f531faf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b56bcad7-5e30-4d44-b384-a232a2204762' class='xr-var-data-in' type='checkbox'><label for='data-b56bcad7-5e30-4d44-b384-a232a2204762' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>missing_value :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e901c71d-72b1-49d6-9975-0d29828c690f' class='xr-section-summary-in' type='checkbox'  ><label for='section-e901c71d-72b1-49d6-9975-0d29828c690f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4b89d824-453f-479a-9478-f6e9c57285d9' class='xr-index-data-in' type='checkbox'/><label for='index-4b89d824-453f-479a-9478-f6e9c57285d9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-05 17:30:00&#x27;, &#x27;2019-09-05 17:40:00&#x27;,\n",
+       "               &#x27;2019-09-05 17:50:00&#x27;, &#x27;2019-09-05 18:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 18:10:00&#x27;, &#x27;2019-09-05 18:20:00&#x27;,\n",
+       "               &#x27;2019-09-05 18:30:00&#x27;, &#x27;2019-09-05 18:40:00&#x27;,\n",
+       "               &#x27;2019-09-05 18:50:00&#x27;, &#x27;2019-09-05 19:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 19:10:00&#x27;, &#x27;2019-09-05 19:20:00&#x27;,\n",
+       "               &#x27;2019-09-05 19:30:00&#x27;, &#x27;2019-09-05 19:40:00&#x27;,\n",
+       "               &#x27;2019-09-05 19:50:00&#x27;, &#x27;2019-09-05 20:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 20:10:00&#x27;, &#x27;2019-09-05 20:20:00&#x27;,\n",
+       "               &#x27;2019-09-05 20:30:00&#x27;, &#x27;2019-09-05 20:40:00&#x27;,\n",
+       "               &#x27;2019-09-05 20:50:00&#x27;, &#x27;2019-09-05 21:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 21:10:00&#x27;, &#x27;2019-09-05 21:20:00&#x27;,\n",
+       "               &#x27;2019-09-05 21:30:00&#x27;, &#x27;2019-09-05 21:40:00&#x27;,\n",
+       "               &#x27;2019-09-05 21:50:00&#x27;, &#x27;2019-09-05 22:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 22:10:00&#x27;, &#x27;2019-09-05 22:20:00&#x27;,\n",
+       "               &#x27;2019-09-05 22:30:00&#x27;, &#x27;2019-09-05 22:40:00&#x27;,\n",
+       "               &#x27;2019-09-05 22:50:00&#x27;, &#x27;2019-09-05 23:00:00&#x27;,\n",
+       "               &#x27;2019-09-05 23:10:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;600s&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bbb28f41-eab5-40ff-b544-3c4258d0da4a' class='xr-section-summary-in' type='checkbox'  ><label for='section-bbb28f41-eab5-40ff-b544-3c4258d0da4a' class='xr-section-summary' >Attributes: <span>(23)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>Merged Flight#20190905, on the DC8 platform. Data is merged to 10.000000 seconds. This merge was created on the Custom Data Merging tool.</dd><dt><span>Date Revised :</span></dt><dd>2022-02-11 00:00:00</dd><dt><span>mission :</span></dt><dd>FIREXAQ</dd><dt><span>organization :</span></dt><dd>NASA Langley Research Center</dd><dt><span>PI :</span></dt><dd>Suborbital Science Data for Atmospheric Composition</dd><dt><span>PI_CONTACT_INFO :</span></dt><dd>gao.chen@nasa.gov, michael.shook@nasa.gov, ali.a.aknan@nasa.gov</dd><dt><span>PLATFORM :</span></dt><dd>DC8_AIRCRAFT</dd><dt><span>LOCATION :</span></dt><dd>Included in data records</dd><dt><span>ASSOCIATED_DATA :</span></dt><dd>See following PI data</dd><dt><span>INSTRUMENT_INFO :</span></dt><dd>Please see PI data files for instrument information.</dd><dt><span>DATA_INFO :</span></dt><dd>Please see PI data files for</dd><dt><span>UNCERTAINTY :</span></dt><dd>Please see PI data files for uncertainty information.</dd><dt><span>ULOD_FLAG :</span></dt><dd>-777777</dd><dt><span>ULOD_VALUE :</span></dt><dd>N/A</dd><dt><span>LLOD_FLAG :</span></dt><dd>-888888</dd><dt><span>LLOD_VALUE :</span></dt><dd>N/A</dd><dt><span>DM_CONTACT_INFO :</span></dt><dd>gao.chen@nasa.gov, michael.shook@nasa.gov, ali.a.aknan@nasa.gov</dd><dt><span>PROJECT_INFO :</span></dt><dd>FIREXAQ</dd><dt><span>STIPULATIONS_ON_USE :</span></dt><dd>N/A</dd><dt><span>OTHER_COMMENTS :</span></dt><dd>This merge was created using the SSD-AC online merge tool. Data merge methods are described here</dd><dt><span>REVISION :</span></dt><dd>R1</dd><dt><span>R1 :</span></dt><dd>File generated from data submitted before 2022, 2, 11, adding data from firexaq-NOAAPTR-Urban-VOCs-1Hz, except for two variables for consistency with other flights</dd><dt><span>R0 :</span></dt><dd>File was generated using the online merge tool.</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:                                       (time: 35)\n",
+       "Coordinates:\n",
+       "  * time                                          (time) datetime64[ns] 2019-...\n",
+       "Data variables: (12/642)\n",
+       "    Time_Stop                                     (time) float64 6.35e+04 ......\n",
+       "    Day_Of_Year_YANG                              (time) float64 248.0 ... 248.0\n",
+       "    latitude                                      (time) float64 38.73 ... 34.63\n",
+       "    longitude                                     (time) float64 -97.65 ... -...\n",
+       "    altitude                                      (time) float64 894.7 ... 770.1\n",
+       "    HAE_GPS_Altitude_YANG                         (time) float64 868.9 ... 736.1\n",
+       "    ...                                            ...\n",
+       "    smoke_age_HOLMES                              (time) float64 nan nan ... nan\n",
+       "    smoke_age_corr_HOLMES                         (time) float64 nan nan ... nan\n",
+       "    smoke_age_rise_HOLMES                         (time) float64 nan nan ... nan\n",
+       "    smoke_rise_HOLMES                             (time) float64 nan nan ... nan\n",
+       "    fire_distance_HOLMES                          (time) float64 nan nan ... nan\n",
+       "    smoke_agemethod_HOLMES                        (time) float64 nan nan ... nan\n",
+       "Attributes: (12/23)\n",
+       "    source:               Merged Flight#20190905, on the DC8 platform. Data i...\n",
+       "    Date Revised:         2022-02-11 00:00:00\n",
+       "    mission:              FIREXAQ\n",
+       "    organization:         NASA Langley Research Center\n",
+       "    PI:                   Suborbital Science Data for Atmospheric Composition\n",
+       "    PI_CONTACT_INFO:      gao.chen@nasa.gov, michael.shook@nasa.gov, ali.a.ak...\n",
+       "    ...                   ...\n",
+       "    PROJECT_INFO:         FIREXAQ\n",
+       "    STIPULATIONS_ON_USE:  N/A\n",
+       "    OTHER_COMMENTS:       This merge was created using the SSD-AC online merg...\n",
+       "    REVISION:             R1\n",
+       "    R1:                   File generated from data submitted before 2022, 2, ...\n",
+       "    R0:                   File was generated using the online merge tool."
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "an.obs['firexaq'].obj"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de7a2fa1-0be2-466c-85bc-e22cc42dc1c1",
+   "metadata": {},
+   "source": [
+    "### Variable transformations from std to amb\n",
+    "\n",
+    "For several of the firexaq variables, we must convert the values from std to amb. This can be achieved with the melodies-monet tools melodies_monet.util.tools.convert_std_to_amb_ams() and melodies_monet.util.tools.convert_std_to_amb_bc(). \n",
+    "\n",
+    "This is shown below. The dataset is provided directly to the function and modified such that the dataset will contain the converted values. The units of the temperature variable must be K and the units of the pressure variable must be Pa."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "1eabacde-2aae-47f8-9278-096e3a4dbddd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;OA_PM1_AMS_JIMENEZ&#x27; ()&gt;\n",
+       "array(204.8938978)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'OA_PM1_AMS_JIMENEZ'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dcde3568-f3ad-4fd4-acce-d20786c8c924' class='xr-array-in' type='checkbox' checked><label for='section-dcde3568-f3ad-4fd4-acce-d20786c8c924' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>204.9</span></div><div class='xr-array-data'><pre>array(204.8938978)</pre></div></div></li><li class='xr-section-item'><input id='section-e7a1b037-c808-458b-b831-d31a39c8f742' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e7a1b037-c808-458b-b831-d31a39c8f742' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-837a2e93-ce00-4b48-8864-51ea625e865a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-837a2e93-ce00-4b48-8864-51ea625e865a' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8957351f-ea17-4aab-ba3b-b6335fb24c4b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8957351f-ea17-4aab-ba3b-b6335fb24c4b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'OA_PM1_AMS_JIMENEZ' ()>\n",
+       "array(204.8938978)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "an.obs['firexaq'].obj['OA_PM1_AMS_JIMENEZ'].sum(dim=['time'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "a4d4e894-f72d-4548-b731-ba50360158fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from melodies_monet.util.tools import convert_std_to_amb_ams"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "9d0a251e-d1fd-4fa1-bd82-c6da7ca29dfa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "convert_std_to_amb_ams(an.obs['firexaq'].obj,convert_vars=['OA_PM1_AMS_JIMENEZ','Sulfate_PM1_AMS_JIMENEZ','Ammonium_PM1_AMS_JIMENEZ',\n",
+    "                                                   'Nitrate_PM1_AMS_JIMENEZ'],temp_var='temp_obs',pres_var='pressure_obs')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "34e0fb83-4a64-4bb6-88c1-3ba992bca3a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from melodies_monet.util.tools import convert_std_to_amb_bc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "4825193c-4366-44b3-8e19-957100f1530e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "convert_std_to_amb_bc(an.obs['firexaq'].obj,convert_vars=['BC_mass_90_550_nm_SCHWARZ'],temp_var='temp_obs',pres_var='pressure_obs')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "6eca0931-97a6-4a11-aa25-9c8a7016751d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;OA_PM1_AMS_JIMENEZ&#x27; ()&gt;\n",
+       "array(159.06208893)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'OA_PM1_AMS_JIMENEZ'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-206f0492-df3c-4970-8b8a-3206f06ce50a' class='xr-array-in' type='checkbox' checked><label for='section-206f0492-df3c-4970-8b8a-3206f06ce50a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>159.1</span></div><div class='xr-array-data'><pre>array(159.06208893)</pre></div></div></li><li class='xr-section-item'><input id='section-4b502589-b087-4e5b-adde-fbb3d8ac4a9b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b502589-b087-4e5b-adde-fbb3d8ac4a9b' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b589d65d-8812-4914-8422-ca82810a0623' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b589d65d-8812-4914-8422-ca82810a0623' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0283db1a-ff8e-44d4-b93c-05f05ec77baa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0283db1a-ff8e-44d4-b93c-05f05ec77baa' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'OA_PM1_AMS_JIMENEZ' ()>\n",
+       "array(159.06208893)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "an.obs['firexaq'].obj['OA_PM1_AMS_JIMENEZ'].sum(dim=['time'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "67c588aa-5d11-48da-8586-b2c6999b6623",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "After pairing:      Time_Stop  Day_Of_Year_YANG   latitude                time   longitude  \\\n",
+      "0     63500.0             248.0  38.734977 2019-09-05 17:30:00  -97.653676   \n",
+      "1     63910.0             248.0  38.677687 2019-09-05 17:40:00  -98.239499   \n",
+      "2     64510.0             248.0  38.499000 2019-09-05 17:50:00  -99.550963   \n",
+      "3     65110.0             248.0  38.250739 2019-09-05 18:00:00 -101.083832   \n",
+      "4     65710.0             248.0  37.963158 2019-09-05 18:10:00 -102.715195   \n",
+      "5     66310.0             248.0  37.645989 2019-09-05 18:20:00 -104.370251   \n",
+      "6     66910.0             248.0  37.418731 2019-09-05 18:30:00 -105.996288   \n",
+      "7     67510.0             248.0  37.601763 2019-09-05 18:40:00 -107.633907   \n",
+      "8     68110.0             248.0  37.807663 2019-09-05 18:50:00 -109.295016   \n",
+      "9     68710.0             248.0  37.989196 2019-09-05 19:00:00 -110.938352   \n",
+      "10    69310.0             248.0  38.123925 2019-09-05 19:10:00 -112.295670   \n",
+      "11    70510.0             248.0  38.368578 2019-09-05 19:30:00 -116.226834   \n",
+      "12    71110.0             248.0  38.030544 2019-09-05 19:40:00 -117.588246   \n",
+      "13    71710.0             248.0  37.424994 2019-09-05 19:50:00 -118.953838   \n",
+      "14    72310.0             248.0  36.787872 2019-09-05 20:00:00 -119.541030   \n",
+      "15    72910.0             248.0  36.577204 2019-09-05 20:10:00 -119.389426   \n",
+      "16    73510.0             248.0  35.944105 2019-09-05 20:20:00 -119.262761   \n",
+      "17    74110.0             248.0  35.368064 2019-09-05 20:30:00 -118.874691   \n",
+      "18    74710.0             248.0  34.845105 2019-09-05 20:40:00 -118.187151   \n",
+      "19    75310.0             248.0  34.360774 2019-09-05 20:50:00 -117.478716   \n",
+      "20    75910.0             248.0  34.154338 2019-09-05 21:00:00 -117.842208   \n",
+      "21    76510.0             248.0  34.063278 2019-09-05 21:10:00 -118.575703   \n",
+      "22    77110.0             248.0  33.717972 2019-09-05 21:20:00 -118.868338   \n",
+      "23    77710.0             248.0  33.635185 2019-09-05 21:30:00 -118.266848   \n",
+      "24    78310.0             248.0  33.869226 2019-09-05 21:40:00 -117.637406   \n",
+      "25    78910.0             248.0  34.127806 2019-09-05 21:50:00 -117.554224   \n",
+      "26    79510.0             248.0  34.117361 2019-09-05 22:00:00 -118.273340   \n",
+      "27    80110.0             248.0  33.915614 2019-09-05 22:10:00 -118.860136   \n",
+      "28    80710.0             248.0  33.601620 2019-09-05 22:20:00 -118.616768   \n",
+      "29    81310.0             248.0  33.753054 2019-09-05 22:30:00 -117.968083   \n",
+      "30    81910.0             248.0  33.993472 2019-09-05 22:40:00 -117.426485   \n",
+      "31    82510.0             248.0  34.168588 2019-09-05 22:50:00 -117.883018   \n",
+      "32    83110.0             248.0  34.548364 2019-09-05 23:00:00 -118.133860   \n",
+      "33    83435.0             248.0  34.627215 2019-09-05 23:10:00 -118.075917   \n",
+      "\n",
+      "        altitude  HAE_GPS_Altitude_YANG  Pressure_Altitude_YANG  \\\n",
+      "0     894.690909             868.942273             2723.631818   \n",
+      "1    3604.428333            3581.033167            11012.364667   \n",
+      "2    7319.502833            7295.814667            22461.166667   \n",
+      "3    9786.676667            9762.397000            30081.718333   \n",
+      "4   10407.810000           10383.433333            32011.196667   \n",
+      "5   10414.333333           10389.993333            32021.300000   \n",
+      "6   10411.490000           10388.208333            32011.770000   \n",
+      "7   10404.180000           10381.626667            32007.816667   \n",
+      "8   10979.271667           10958.295000            33824.063333   \n",
+      "9   11672.405000           11650.991667            36009.871667   \n",
+      "10  11666.662162           11643.972973            36009.876667   \n",
+      "11  11631.415556           11605.715556            36022.105000   \n",
+      "12  11615.803333           11588.305000            36024.730000   \n",
+      "13  10504.813333           10474.243167            32599.155000   \n",
+      "14   4241.425000            4207.823000            13122.673333   \n",
+      "15    637.723333             606.008667             1998.695000   \n",
+      "16    421.666667             388.597500             1339.843333   \n",
+      "17   1440.125000            1405.962833             4446.410000   \n",
+      "18   3059.091667            3024.490667             9395.545000   \n",
+      "19   2320.718333            2285.024333             7140.183333   \n",
+      "20   1230.903333            1195.037833             3800.290000   \n",
+      "21    864.623333             829.587000             2691.010000   \n",
+      "22    348.911667             311.499000             1082.768333   \n",
+      "23    534.426667             499.543333             1657.283333   \n",
+      "24    850.476667             816.171167             2655.686667   \n",
+      "25   1097.641667            1063.743833             3409.431667   \n",
+      "26   1119.500000            1085.065000             3479.891667   \n",
+      "27    348.151667             312.048667             1098.271667   \n",
+      "28    164.778333             129.355000              527.185000   \n",
+      "29    972.900000             938.972333             3032.373333   \n",
+      "30    825.286667             791.459167             2587.446667   \n",
+      "31   1328.658333            1295.573167             4115.413333   \n",
+      "32   1832.190000            1798.128167             5680.118333   \n",
+      "33    770.100000             736.106000             2429.620000   \n",
+      "\n",
+      "    Radar_Altitude_YANG  Ground_Speed_YANG  ...  smoke_age_rise_HOLMES  \\\n",
+      "0           3624.733333          97.101455  ...                    NaN   \n",
+      "1          10158.393333         164.819317  ...                    NaN   \n",
+      "2          21757.255000         215.161400  ...                    NaN   \n",
+      "3          28922.423333         238.651867  ...                    NaN   \n",
+      "4          30188.393333         249.379167  ...                    NaN   \n",
+      "5          28189.871667         249.595700  ...                    NaN   \n",
+      "6          24977.645000         245.304950  ...                    NaN   \n",
+      "7          23327.355000         246.791267  ...                    NaN   \n",
+      "8          28174.040000         244.818833  ...                    NaN   \n",
+      "9          30877.383333         246.004950  ...                    NaN   \n",
+      "10         31376.451667         250.340305  ...                    NaN   \n",
+      "11         31929.470000         244.688762  ...                    NaN   \n",
+      "12         32019.820000         237.545700  ...                    NaN   \n",
+      "13         26933.873333         218.816950  ...                    NaN   \n",
+      "14         13267.180000         177.255317  ...                    NaN   \n",
+      "15          1714.861667         126.960767  ...                    NaN   \n",
+      "16          1074.213333         123.811933  ...                    NaN   \n",
+      "17          3323.102500         136.835350  ...                    NaN   \n",
+      "18          6640.450833         147.673917  ...                    NaN   \n",
+      "19          4366.171667         136.331083  ...                    NaN   \n",
+      "20          2529.547500         120.674683  ...                    NaN   \n",
+      "21          2272.865833         111.110267  ...                    NaN   \n",
+      "22          1139.750833         118.355017  ...                    NaN   \n",
+      "23          1744.688333         115.952117  ...                    NaN   \n",
+      "24          2061.186667         118.996167  ...                    NaN   \n",
+      "25          1971.540833         118.255883  ...                    NaN   \n",
+      "26          2816.974167         110.606150  ...                    NaN   \n",
+      "27          1061.895000         110.472350  ...                    NaN   \n",
+      "28           535.490833         114.044033  ...                    NaN   \n",
+      "29          3018.250000         113.971633  ...                    NaN   \n",
+      "30          1509.157500         116.837750  ...                    NaN   \n",
+      "31          2645.973333         117.974083  ...                    NaN   \n",
+      "32          2993.435833         116.279983  ...                    NaN   \n",
+      "33             3.910000          17.564200  ...                    NaN   \n",
+      "\n",
+      "    smoke_rise_HOLMES  fire_distance_HOLMES  smoke_agemethod_HOLMES    oa_tot  \\\n",
+      "0                 NaN                   NaN                     NaN  1.611334   \n",
+      "1                 NaN                   NaN                     NaN  1.060237   \n",
+      "2                 NaN                   NaN                     NaN  0.002246   \n",
+      "3                 NaN                   NaN                     NaN  0.009584   \n",
+      "4                 NaN                   NaN                     NaN  0.009042   \n",
+      "5                 NaN                   NaN                     NaN  0.002204   \n",
+      "6                 NaN                   NaN                     NaN  0.365806   \n",
+      "7                 NaN                   NaN                     NaN  0.491485   \n",
+      "8                 NaN                   NaN                     NaN  0.854879   \n",
+      "9                 NaN                   NaN                     NaN  0.840046   \n",
+      "10                NaN                   NaN                     NaN  0.764549   \n",
+      "11                NaN                   NaN                     NaN  0.408177   \n",
+      "12                NaN                   NaN                     NaN  0.004032   \n",
+      "13                NaN                   NaN                     NaN  0.002268   \n",
+      "14                NaN                   NaN                     NaN  2.457857   \n",
+      "15                NaN                   NaN                     NaN  3.073779   \n",
+      "16                NaN                   NaN                     NaN  2.436696   \n",
+      "17                NaN                   NaN                     NaN  2.558765   \n",
+      "18                NaN                   NaN                     NaN  3.002239   \n",
+      "19                NaN                   NaN                     NaN  2.792408   \n",
+      "20                NaN                   NaN                     NaN  4.880085   \n",
+      "21                NaN                   NaN                     NaN  3.832246   \n",
+      "22                NaN                   NaN                     NaN  0.713880   \n",
+      "23                NaN                   NaN                     NaN  2.338705   \n",
+      "24                NaN                   NaN                     NaN  3.641816   \n",
+      "25                NaN                   NaN                     NaN  4.712148   \n",
+      "26                NaN                   NaN                     NaN  5.045781   \n",
+      "27                NaN                   NaN                     NaN  0.788412   \n",
+      "28                NaN                   NaN                     NaN  0.416464   \n",
+      "29                NaN                   NaN                     NaN  4.575302   \n",
+      "30                NaN                   NaN                     NaN  4.174449   \n",
+      "31                NaN                   NaN                     NaN  3.830017   \n",
+      "32                NaN                   NaN                     NaN  4.306817   \n",
+      "33                NaN                   NaN                     NaN  3.618958   \n",
+      "\n",
+      "        SO4A      NH4A          NO3A        EC  temp_model  \n",
+      "0   0.948157  0.355928  2.098624e-16  0.083782  300.721478  \n",
+      "1   0.526665  0.200423  9.173260e-03  0.018002  283.845681  \n",
+      "2   0.027804  0.009326  2.002233e-16  0.000181  258.860673  \n",
+      "3   0.023133  0.005301  2.000386e-16  0.000300  239.699705  \n",
+      "4   0.020147  0.003930  2.205560e-09  0.000235  234.926779  \n",
+      "5   0.037302  0.001856  2.000015e-16  0.000072  235.180141  \n",
+      "6   0.034310  0.007582  1.999910e-16  0.000221  235.925135  \n",
+      "7   0.026673  0.007081  5.199745e-04  0.000338  235.901365  \n",
+      "8   0.004799  0.003403  5.596646e-03  0.000491  232.455918  \n",
+      "9   0.006642  0.004469  1.006576e-02  0.000264  228.101094  \n",
+      "10  0.005788  0.004131  1.265986e-02  0.000312  227.247372  \n",
+      "11  0.035247  0.002642  5.273574e-03  0.000183  226.714925  \n",
+      "12  0.032346  0.000218  1.092626e-04  0.000145  226.418541  \n",
+      "13  0.042875  0.000735  7.247364e-05  0.000148  233.064741  \n",
+      "14  0.340810  0.190290  2.141573e-01  0.014650  276.549419  \n",
+      "15  0.571172  0.214449  2.176506e-16  0.271732  301.898289  \n",
+      "16  0.565074  0.212176  2.208338e-16  0.207740  304.550366  \n",
+      "17  0.355437  0.133463  2.029356e-16  0.049243  298.821680  \n",
+      "18  0.323506  0.124737  1.125900e-02  0.028932  285.585491  \n",
+      "19  0.413606  0.155517  7.570527e-04  0.041374  292.122093  \n",
+      "20  0.750357  0.281242  2.056441e-16  0.593283  298.813400  \n",
+      "21  0.316645  0.118884  2.126706e-16  0.079797  301.015340  \n",
+      "22  0.518980  0.194892  2.255040e-16  0.034116  301.130530  \n",
+      "23  0.236050  0.088647  2.206960e-16  0.008539  301.368937  \n",
+      "24  0.525139  0.197067  2.129912e-16  0.244189  300.913017  \n",
+      "25  0.645360  0.242087  2.068111e-16  0.441157  301.410482  \n",
+      "26  0.459949  0.172632  2.073477e-16  0.164121  299.853776  \n",
+      "27  0.498690  0.187275  2.254303e-16  0.034603  301.148777  \n",
+      "28  0.836468  0.314398  1.001441e-03  0.062874  295.023443  \n",
+      "29  0.358374  0.134554  2.099474e-16  0.093192  301.152392  \n",
+      "30  0.614752  0.230689  2.118391e-16  0.349025  303.321913  \n",
+      "31  0.725354  0.272076  2.039436e-16  0.394783  298.115557  \n",
+      "32  0.564600  0.211900  2.035165e-16  0.344956  296.451659  \n",
+      "33  0.542627  0.203711  2.092639e-16  0.252437  306.475800  \n",
+      "\n",
+      "[34 rows x 649 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "an.pair_data()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "781ec5ae-d6b0-439f-afcb-e07198ac45cf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Value of fill after reading from scatter_density_config: True\n",
+      "Processing scatter density plot for model 'wrfchem_v4.2' and observation 'firexaq'...\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1000x1400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1000x1400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 1000x1400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1000x1400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1000x1400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saving scatter density plot to /wrk/charkins/melodies_monet/aircraft/develop_sumvars/output/plot_grp4.scatter_density.OA_PM1_AMS_JIMENEZ.2019-09-05_12.2019-09-06_00.all.CONUS_firexaq_vs_wrfchem_v4.2.png...\n",
+      "Value of fill after reading from scatter_density_config: True\n",
+      "Processing scatter density plot for model 'wrfchem_v4.2' and observation 'firexaq'...\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saving scatter density plot to /wrk/charkins/melodies_monet/aircraft/develop_sumvars/output/plot_grp4.scatter_density.Sulfate_PM1_AMS_JIMENEZ.2019-09-05_12.2019-09-06_00.all.CONUS_firexaq_vs_wrfchem_v4.2.png...\n",
+      "Value of fill after reading from scatter_density_config: True\n",
+      "Processing scatter density plot for model 'wrfchem_v4.2' and observation 'firexaq'...\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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tW4c1a9Zg7969yMvLMxif89577yE0NNRoOXoiIiIia5I9GwsAbty4gaioKPzwww84depU/oX+f1+WnJwc1YskIiIiUkpR2Cno1KlTWL16NX744QckJyeXmLE7t2/fxm+//YaaNWuiTJky1i6HiIhsWEZGBi5fvowXXnhB8rpLahNFETk5OXBxceHM6CeJKsnLyxN3794tiqIorlixQpw+fbpal7aKqKgoEQAffPDBBx98SH5ERUVZ7ffWDz/8IAIQ582bZ7UabJXZLTumtG7dGocPH7brVp6//voL7dq1Q52XF6BMxbrWLoeIiGxYxu0LuLjpdfz5559o27atxT8/KysLz1QvjeT7QFlXIOHaXS6jUIBZ20WUZLquqzIV68Ldr5GVqyEiIntgrWEP33zzDa7dAf6YDLw0F5g1uAK+2Kp6W4bdUm0jUCIiIrK8u3fvYubHEzGqIxDSAJj4IjD/t/z9Kykfww4REZEdmzXYBzl5QESf/OcTXwQqeABTwmtZtzAbwrBDRERkpy5duoQFvwOTXgKeKpf/mkdpYHofYM1fwNGjR61boI3QJOxoMOaZiIiInvDRoAD4eADvdDd8fUQwUL8K8N6QZ/k7GRqFnc2bNyMxMVGLSxMRERGAv//+G2sPADP6Au6lDY+5OANzBgB7zgDbt2+3ToE2RLWwU7duXbi45E/uqly5MmrUqKHWpYmIiKgAURQxcUgLNKwGDA82fc6LTYHg+sCkMS85/O4GqrbssKmMiIhIe1u3bkVsfH7rjXMhv8kFAZg7EDhzA1i1apVlC7QxktfZCQgIKPL49evXzS6GiIiIipaTk4P3x/ZCp4ZA9yZFn/tsADCgNfDxpNEYOHAg3N3dLVOkjZEcdqTM1+deHERERNpauXIl4pOA1ePyW2+KM+tV4OmJwH//+198/PHH2hdogySHnVKlSsHX1xcDBgwweXzFihV48OCBaoURERGRofT0dHw8aQwGtQWaS1xGp6Yv8HpXYM6saRg9ejQqV66sbZE2SHLYadKkCRITE/HFF1+YPL5582aGHSIiIg3NnTsX9x4Cn/aT974PQ4EVMUDEID8s2aVsfO0333yDyMhInDp1Ci+//DJ+/PHHQs+NjY3F+PHjkZiYiMaNG2PFihVo2LChos9Vg+QByj179kT16tWRnJxs8vhzzz2HDh06qFYYERER/U9ycjK++Hw63ngBqOEr770VPIApvYHlMUB8fLyiz69SpQqmTJmCUaNGFXnenTt3EBoaismTJ+PevXsIDQ1FaGioVWeESQ47U6dOxfHjx+Hn52fy+Jo1a7Bnzx7VCiMiIqL/iQivAjeX/FYaJSZ0Bar7AB+EN1D0/rCwMPTu3RsVK1Ys8ryNGzeiXr16GDRoENzc3DBp0iSkpaUhNjZW0eeqgbueExER2bj4+Hgs3wPMHQSUVzihyq0UMOsVYOBCYNOmTYWuh+fn51dow4YUcXFxaNLkf9PEnJ2dERgYiLi4OHTu3Fnxdc0hOex8//33ks4bMmSI4mKIiIjI2P79+5EnAv8xMyu82goYHwksWLCg0N6YadOmISIiQvFnpKeno3z58gaveXt7Iy0tTfE1zSU57AwbNqzYqeWCIDDsEBERacTNFYAZq7w4OQOuLkCLFi0wd+5ck+eY06oDAB4eHkhNTTV47cGDB/D09DTruuaQ3Y1V1CrJXEGZiIjI9nl6eqJZs2aaXDswMBDLly/XP8/Ly8OpU6cwefJkTT5PCskDlF1dXSGKIlxdXdGvXz/s2rULaWlpRg8iIiLSiKDCQ6GcnBxkZmYiJycHeXl5yMzMRHZ2ttF5YWFhOHfuHNauXYusrCx88cUX8PT0RHBwIZt4WYDksJOUlIS5c+eiVq1aiI6ORpcuXRAcHIy1a9dCEAS4u7s77DLUREREFmHFsDNz5kyUKVMGn376KaKjo1GmTBn9NHQPDw/s27cPAODj44PNmzdj5syZ8Pb2xsaNG7Flyxb9ZuHWIDnsVKhQAe+88w7i4+OxZ88evPrqq4iLi8OYMWNQpUoVTVt1srKyMHLkSNSqVQuenp5o2LAh1qxZU+j5sbGxCAwMRNmyZdGqVSucPn1as9qIiIgsxophJyIiAqIoGjwiIyMB5A9Kbt++vf7ckJAQnD59GhkZGTh06JBVFxQEFO567uTkpB+sLIoi8vLyVC3qSTk5OahSpQp27dqFBw8eYOnSpRg3bhwOHDhgdK4tLmZERERE1iM57Ny/fx9ff/01GjRogJCQEKxduxYNGjTA4sWLkZSUpOkoa3d3d8yYMQMBAQFwcnJCu3bt0LZtW+zfv9/oXFtczIiIiEgVVmzZsWeSO9CqVKmCrKwsuLi4oE+fPhg7dixatWqlP/7o0SMAQNmyZdWv8gkPHz7E33//jTfffNPomNzFjJKTk01ugaF0OW0iIiLNOHBgMYfksJOZmQlBEJCTk4MNGzZgw4YNRufojmtJFEUMHz4czz33HLp27Wp0XO5iRkuXLsX06dM1qZWIiEhVaoQdBwxLsoZGW3sdHVEUMXbsWNy4cQO///67yUUO5S5mNGbMGPTq1cvo9fj4eISHh6tTOBEREVmN5LCzatUqLesoliiKGD9+PI4fP44//vij0GnuchczMncPECIiIothN5YiksPO0KFDtayjWBMmTMDBgwexa9cueHl5FXpeWFgY3nvvPaxduxZhYWH46quvrL6YERERkSqcwLCjgKyp54sWLUK7du3Qrl07LF68WKuajFy5cgWLFi3CmTNnUL16dXh4eMDDwwOzZs0CYPuLGREREamCs7EUkZwAli9fjgkTJkAQBIiiiAMHDsDNzQ0jRozQsj4AQI0aNYocL5Senm7wXLeYEREREZHklp0lS5YAAKpXrw5/f3+IoohFixZpVhgRERE9gS07ikhu2bl48SJ8fX1x9uxZAPmtLQkJCZoVRkRERE9w4MBiDsktO6mpqQgICEDp0qVRunRpBAQEGE3xJiIiIg2xZUcRWaN2b9++je+//x4AcOvWLQDA6tWrDcbTDBkyRMXyiIiISM+BA4s5ZIWdxMREDB8+3OC1YcOG6f9fEASGHSIiIrIpdrWCMhERkUNjy44iksPOpUuXtKyDiIiIisO9sRSRHHZq1Kgh+aIzZ87EpUuXsGLFCkVFERERkQls2VFE1grKUm3btg2RkZFaXJqIiIhIFu6hQEREZC/YsqMIww4REZG9YNhRhGGHiIjIXjDsKKLJmB0iIiIiW6FJy44oilyTh4iISG1s2VFEk7Bz8OBBLS5LRETk2Bh2FJHdjZWUlIQBAwbAz88PLi4ucHZ21j9cXDgEiIiISDPcCFQR2elk8ODBiImJYTcVERER2QXZYefQoUNwdXXF+++/j5o1a0IQHDQmEhERWZoDt86YQ3bYadq0KW7evImIiAgNyiEiIqJCMewoIjvsREZGomvXrujZsye6desGT09Pg+NDhgxRrTgiIiIqwAncCFQB2WHn8OHDuHHjBi5fvozt27cbHBMEgWGHiIiIbIrssPPee+/h8ePHJo9x0DIREZGG2I2liOyp548ePUKVKlWQmJiI7Oxs5OXlGTyIiIhII5x6rojssDNx4kRkZGTA1dUVzs7OWtREREREpjDsKCK7G2vnzp3IyMhAQEAAGjVqZDBAWRAE7Nq1S9UCiYiI6P85cGAxh+ywExsbq///o0ePGhzjmjtERERka2SHnSFDhjDUEBERWQNbdhRRtM4OERERWQHDjiKyw87Vq1eLPO7v76+4GCIiIioCw44issNOrVq1Cj0mCAJycnLMKoiIiIhITbLDDhcOJCIishK27CgiO+zs2bPH4Hlqaip++eUXrFy5EgsXLlStMCIiInoCw44issNOcHCw0Ws9e/bEmTNnsH79eowZM0aVwoiIiOgJDDuKmD1AOTc3FwkJCTh//jwePnyoWmFEREREalB1gHLDhg3NKoaIiIiKoEbLjgO2DKk2QLlq1apYtGiR2QURERFRIdiNpYjZA5QFQYCvry/q1q0LFxfZlyMiIiKpGHYUUWWAMhEREZGtkhR2RowYgTp16uDDDz/EiBEjCj1PEASsWLFCteKIiIioALbsKCIp7ERGRqJVq1b48MMPERkZaXIjUFEUGXaIiIi0xLCjiKSw06FDBwQGBur/n7ueExERWQHDjiKSwk5MTIzJ/yciIiKydYqnT2VlZSElJcVoKjp3PSciItKIE9iyo4DssHPmzBm89tprOHz4sNEx7npORESkIXZjKSI77IwYMcJk0CEiIiKNMewoIjvsnDp1Cq6urpg7dy7q16/PhQSJiIgshWFHEdlJpXHjxrh//z4mTJigRT1EREREqnKS+4ZJkyYhMTERH330Ef755x9cvXrV4EFEREQaEVR6OBjZYadPnz7IycnB559/jqZNm6JWrVr6R0BAgBY1EhEpcrd+6WIfRHbFikHn/v37eOWVV+Dp6Vns5t/r1q1DgwYN4OnpiXr16mH16tXKP1gFigbcFLbzORGRtckNMHfrl0aF+EyNqiFSmRVbZiZMmICcnBwkJSXh4sWL6NKlC+rXr4+OHTsanHft2jWEh4djw4YNeOmll/Dnn3/ihRdeQPPmzdGgQQOr1G72rudERLbAnFYaBh6ioj18+BDR0dE4fvw4PD090bRpUwwbNgwrV640CjtXr16Ft7c3evbsCQBo3749ateujTNnzthP2OGu50RkK9TshmLgIbugUstOWloajh07ZvKYn58f/Pz8DF47f/48RFE0CCtBQUGYN2+e0ftbtmyJevXqYdOmTQgNDUVsbCxu3ryJtm3bml+4QrLH7ADAH3/8geDgYHh4eMDT0xMhISHYtWuX2rXpffPNN3j22Wfh5uaG/v37F3muIAhwd3eHh4cHPDw80L17d83qIiLr4Xgbckgqjdk5cuQImjdvbvKxdOlSo49NT0+Hl5eXwWve3t5IS0szOtfFxQXDhw/HkCFD4OrqihdeeAFz5841ClCWJLtlZ+fOnejRowfy8vL0Y3f27t2Lbt26YceOHejSpYvqRVapUgVTpkzBH3/8gdu3bxd7/tGjR/HMM8+oXgcRWR9DDjk0lVp2WrRogblz55o8ZiqUeHh4IDU11eC1Bw8ewNPT0+jc3377DRMnTsTvv/+Oli1bIj4+Hi+99BJ8fHzw4osvml+8ArLDzowZM5Cbm4vnnnsOvXv3hiiK2LJlCw4fPowZM2ZoEnbCwsIAACdOnJAUdoio5LFEyGFXFjkKT09PNGvWTPL59erVgyAIiI+PR/369QHk/04ODAw0OvfUqVNo27YtWrduDQBo2LAhevTogR07dthP2Dl27BiqVq2Kffv2oVSpUgCAd999FwEBAYX2/1lap06dkJubi2effRZz5sxBw4YNCz03OTkZycnJRq/Hx8drWSIRScSWHKICrDQby93dHX379sXUqVOxatUqJCYmIjIyEuvWrTM697nnnsOsWbNw5MgRtGjRAufOncP27dvx4YcfWr7w/yc77AiCAFEU4eT0v+E+Bf/f2mJiYtC6dWtkZWVh9uzZ6Nq1K+Lj4436GnWWLl2K6dOnW7hKIpKCQYfoCVacer5w4UKMGjUKfn5+8PLywowZM9CpUycA+d1cO3bsQPv27dGhQwfMmjULgwYNQnJyMsqXL4/w8HC89tpr1ikcCsJO06ZNsX//frRr1w69e/cGAGzevBnJyclo166d2vXJppst5urqipkzZ2L16tXYv38/unXrZvL8MWPGoFevXkavx8fHIzw8XNNaicg0hhyiQlgx7Hh7eyM6OtrksfT0dIPnY8eOxdixYy1RliSyw87UqVPRo0cPHD58WL/7ua6lZ+rUqaoXaC4nJ6ciF0E0NcWOiKyHQYeI1Ca7/6lr167Yvn07WrdujdKlS6N06dJo27atZjOxACAnJweZmZnIyclBXl4eMjMzkZ2dbXTe6dOncezYMeTk5ODRo0eIiIhARkaGfpAUEdkuW9m+wRZqeBK3uSA97ouliKLtIrp27YquXbuqXUuhZs6caTCuJjo6GkOHDkVkZKRBP2FKSgr+85//4Nq1ayhTpgyeffZZ/Pbbb/D29rZYrUQkH39555PzdXjyXM4icxBqBBYHDDyKws7du3dx5MgRpKSkGHURDRkyRJXCCoqIiEBERITJYwX7CTt27IizZ8+q/vlEpA1HDzlqrwANMPSUeA7cOmMO2WFn/fr1GD58OB49emR0TBAETcIOEZU8thx0tFpvh2sFEVmH7LAzadIkPHz40OQx7oZORFLYctBRk7Xuk4GnBGPLjiKyByjfvXsXfn5+SExMRF5entGDiKgw9jS4VmmdtjKI2NqfTxpxUuHhgGS37Lz22mv47rvv4OrqqkU9RFRC2eMv3+LGwdjjPZGdY8uOIrLDzieffIIdO3YgICAAjRo1MtgETBAETXc/JyL7ZO+hwF7rZ3dWCcSwo4jssDNhwgT9jKejR48aHBMEfgeI6H/sNSQQUckiO+ysW7cOgiCgffv2qF69OlxcFM1eJ6ISjkGHSANs2VFEdlKpVasWcnNzERMTo0E5RFQSMOgQaYRhRxHZ47KnTp2Ka9euYe7cuTh9+jSuXr1q8CAix8agQ6QhbhehiOyWnf79+0MQBLz//vt4//33DY4JgoCcnBzViiMi+8KgQ0S2SNGAGy4eSEQFMeQQWYgDt86YQ3bY2bNnjxZ1EJGdYtAhsiBuBKqI7LATHBysRR1EZIcYdIgsjC07iijqxvrtt98QExNjtOu5IAhYsWKFasURke1i0CEieyE77Hz44YeYPXu20euiKDLsEDkIBh1pHtR2k3V+uYQsjSqhEoMtO4rIDjvLly+HKIqoWbMm/P39uWoykQNhyCma3HBT2PsZeqhQDDuKyA47bm5uqF27Ni5cuKBFPURko7QKOsUFBFv/xW9uwCnsmrZ+32QlDDuKyF5UcObMmUhKSsL69evx8OFDLWoiIhujdtB5UNtN/5Byrq2RUz8RWZ/slp1OnTqhevXqePXVV42OcVFBopJHzaCjNBzYSkuHJcONGvfMHc9LILbsKCI77AwcOBAXLlzgwoJEDkCtoKNGSLBW4GHrDdkUhh1FZIedo0ePws3NDZMmTeKu50QlmBpBR+2gYMnAw5BDNolhRxFFiwomJCQgIiJCg3KIyBaYG3TsNSjYWt220n1HZO9kh52OHTsiJiYGPXv2RLdu3eDp6WlwfMiQIaoVR0SWZYutOaaur2YAsLWAQ1QktuwoIjvsfPDBBxAEAdu3b8f27dsNjgmCwLBDZKfsqTVHjcDDkEN2iWFHEVV3PeegZSL7ZE9Bp+Bnyg08DDhk95zAjUAVkB128vLytKiDiKzEnKBj7fBQ3IrDlqjvQUDhn1Eu0XrjbTjtvIRiy44iqk2lOnr0KKKiovDll1+qdUki0pg9B52CLNqFVkS4Kexca4YeIjIz7Fy+fBlr1qxBVFQUzp8/DwAMO0R2QmnQsaWQYylyAk5h72fgIVWwZUcR2WHn3r17WLduHaKiorB//34A/xurU6lSJXWrIyJNMOgUz9yAY+p6DDxkNoYdRSSHnQ0bNiAqKgo7duxAdna2wWBkQRDw119/oWXLlpoUSUTqYdApmtoh58lrywk8XGOHjDDsKCI57PTr1w+CIEAURfj5+eHVV1/FgAED0LVrV6SmpqJVq1Za1klEKmDQKZyWIYeIrEt2N1azZs3wzTffMNwQ2RklQYchh8jGsGVHEclhx83NDVlZWTh+/Djatm2LgIAA9O/fH9nZ2VrWR0QqYNAxxpBDdolhRxEnqSempKTg22+/RXBwMARBQEJCAmbNmoWMjAwA+SsrHzhwQLNCiUgZBh1DDwLcGHTIfgkqPByQ5LDj6emJ1157Dbt378aVK1fw2WefITAwEKIoQhRFfPHFF2jfvr2WtRKRTAw6/2MrIccSNXBBQSJDksNOQVWrVsX777+PkydP4uTJk5g4cSL8/Py4XQSRDWHQyWcrIYdIFWzZUcTsFZQbNWqEOXPmYPbs2YiJiVGhJCIyl9ygU1JDjrm8fW4Xeuz+nYpmX78onHZOpuTCCYLZiSVXlVrsiaSWnRMnThR7jiAI6NixIwDg+PHjZhVFRMo5etAxtyXH2+e2/iHlPLm4sCCZIxfOZj8ckaSw06xZM3Ts2BHLli3DtWvXTJ5z7do1LF26FMHBwXj22WdVLZKIpHHkoGNOyJEacAp7LxHZNkndWK1atUJsbCz27t0LAKhQoQL8/f3h4eGBtLQ0XLt2DXfv3gWQv3VEmzZttKuYiExy1KBjbiuOGrx9bmverUUE5LfsmNuN5YijayWFnf379+PXX3/FokWL8Ouvv+LOnTu4c+eO4YVcXNC9e3eMGzcOL7zwgibFEpFp1gg6xYUMS3TXmNOSQ2SP1Ag7jjhKWfIA5W7duqFbt25ITU3FwYMHceHCBTx48ABeXl6oW7cuWrduDS8vLy1rJSITLB10pAYMLTe+ZMghR6VO2HE8smdjeXl5oWvXrujatasW9RCRDJYMOkoChtqBhyGHiJQwe+o5EVmHpYKOuVO41Qg8jhZyOO2cCsOWHWUYdojskL0EHXPZwuBjIlvCAcrKMOwQ2Rl7DDpyWnfM/VxbDjlcY4fMxQHKyjDsENkRSwQdrVpzigs8JTnkEKmF3VjKqBZ2bt68iaysLPj7+6t1SSIqwJ6DjtbXZ9AhoqJI3gg0ICAAXbp0wfXr100e7927NwICAlQrjIj+pyQEHS0oXfWYyF5xuwhlJIedy5cvY8+ePWjatCl+/fVXk+dw13Mi9THomMaQQ45IjbAjOmA3mOSwo3Pnzh289NJLmDp1KsMNkcYYdIyV9NYcTjunorBlRxlZY3aefvppPPXUU4iNjcWsWbNw4MABrF27Fr6+vlrVR+SwGHSMmRtyWuNAseccQGuzPqMwnIlFZD2yWna8vb2xa9cufPDBBwCg79bSbRCqlW+++QbPPvss3Nzc0L9//yLPjY2NRWBgIMqWLYtWrVrh9OnTmtZGZAsYdArXGgf0D6nnE9kqtuwoI7sby8nJCbNmzcLWrVtRoUIFJCUloUuXLpqGiipVqmDKlCkYNWpUkefduXMHoaGhmDx5Mu7du4fQ0FCEhoYiJydHs9qItCC3VUcuewo6Srut5AQcInuhzpgdxyM77Oh0794dx44dQ8uWLZGTk4P09HQ16zIQFhaG3r17o2LFikWet3HjRtSrVw+DBg2Cm5sbJk2ahLS0NMTGxmpWG5HatO6+sregI5caIceeQ1KF+Exrl0AaUqdlR9kA5fv37+OVV16Bp6cnqlatikWLFhV6bmZmJt58801UqlQJXl5eaN68OdLS0hTetfnMWmenevXq2LdvH9577z18/fXXatWkWFxcHJo0aaJ/7uzsjMDAQMTFxaFz584m35OcnIzk5GSj1+Pj4zWrk6gwDDr/ozToWMP9O0X/Q4yoJJgwYQJycnKQlJSEixcvokuXLqhfvz46duxodO7YsWPx8OFDnDp1Cr6+vjh16hRcXV2tUHU+yWFnz5498PLyMr6Aiwu+/PJLhIaG4sqVK6oWJ1d6ejrKly9v8Jq3t3eRaXLp0qWYPn261qURFcuSO5jbOrlBx55bYojksNYKyg8fPkR0dDSOHz8OT09PNG3aFMOGDcPKlSuNws758+exceNGXL16Fd7e3gBg0BBhDZLDTnBwcJHHQ0JCzK3FbB4eHkhNTTV47cGDB/D09Cz0PWPGjEGvXr2MXo+Pj0d4eLjqNRKZwplX+eypNUcOzsQitagVdtLS0nDs2DGTx/z8/ODn52fw2vnz5yGKIho0aKB/LSgoCPPmzTN6/6FDh1CjRg1Mnz4dq1evhq+vL95++22MHj3a7LqVkhx2AgIC0KxZM6xfvx4AMGLECNSuXRsfffQRAKB169Y4cuSIVQcDBwYGYvny5frneXl5OHXqFCZPnlzoe0x9U4lKmpIYdOwh5MjFNXaoOOrsei7gyJEjmDNnjsnj06ZNQ0REhMFr6enpRr07hfWcXLt2DXFxcejVqxdu3LiBf/75B88//zzq1q1rssvLEmStoJyUlKR/HhkZiW3bthmco9Uigzk5OcjMzEROTg7y8vKQmZmJ7Oxso/PCwsJw7tw5rF27FllZWfjiiy/g6elZbKsUkTWx+4pBRy0cnExStWjRAkePHjX5GDNmjNH5cnpOypYtC2dnZ0ybNg1ubm5o0aIF+vXrh+3bt2t2P8Wxi13PZ86caTCuJjo6GkOHDkVkZCQ8PDywY8cOtG/fHj4+Pti8eTPGjx+PESNGoHHjxtiyZQtcXOziNskBsfuKQYdIDrW6sTw9PdGsWTPJ59erVw+CICA+Ph7169cHAJw4cQKBgYFG5zZu3Njs+tSmeOq5JUVEREAURYNHZGQkgPymtfbt2+vPDQkJwenTp5GRkYFDhw6hYcOGVqqaqGgMOiUj6HAmFlmStRYVdHd3R9++fTF16lSkpaXh5MmTiIyMxPDhw43O7dChAwICAvDpp58iJycHx48fx/r169GzZ09zb18xWU0eCQkJGDFihMnnCQkJ6lZGVIJpvWigPZATdGwx5BBZgzpjdpRZuHAhRo0aBT8/P3h5eWHGjBno1KkTABj0sri4uODnn3/GqFGjMHfuXFSpUgXz5s1Dhw4dzKrbHLLCzu3bt/Hdd98BAARBMHguiiIEwfF2UiWyhJI0TqcktObIIXUmlrmDkzleh7Tm7e2N6Ohok8eeXFj4mWeewb59+yxRliSSw46/vz/DDJEKLDUg2Ra7sBwt6BCpTZ0xO473u1xy2Ll8+bKGZRA5BkfuvmLQITKftRYVtHecpkRkIUqCTknpvrJk0AnCCQDACQQpvsYBtJZ0nq0MTmYXluNg2FFGctgpODC5KCtXrlRcDBGVPJYIOrqAY+o1c0KPuSw1Xocch1qLCjoayWEnMjKyyDE7ugHKDDtExhy1VUfroGMq5Jg6x5qBh4jkefToEcqWLavqNSWHnWbNmpkMO/fu3UNiYqKqRRGVJI46TkfLoCMl5DgKdmE5FkfoxnrqqafQp08fDB06VLXtJSQvKvj333/jyJEj+scff/yB7t2749atWwCAChUq4NNPP1WlKCJHVxJadeTQOuhoEY7UGq/DLiySw1qLClrS5s2bIQgCQkNDUaNGDXz00Uc4d+6cWdeUvYJyeno6PvnkE9SqVQuffvopnJ2dMX36dFy6dAkffPCBWcUQlTTWbNWx5k7bWiwYGIQTFmnRkTo4uTjc6Zy0oEbY0WYXS/V07twZq1atws2bNzFr1iwcPXoUjRo1QqtWrbBo0SLcvXtX9jUlh51Hjx7hs88+Q82aNREREYG8vDxMmTIFly5dwtSpU01uBkZE8qnZqmONX7haBR0icixlypTBoEGDsHHjRnz66ac4fvw4Xn/9dVStWhVDhw412Jy8OJLH7NSsWRN37tyBKIoICgrCO++8gwoVKuCvv/4yOK9Hjx7S74SoBLOVsTrlErMstsAgg448XDWZ5HKkRQV37dqF1atXY+PGjfD398cnn3yCwYMHIzk5GREREejZsyeOHj0q6VqSw87t27chCAIEQcDJkycxdOhQo3MEQUBOTo70OyEqoZQGHa3G6uhaeLQMPY4UdIobr8MuLNKKIwxQfv/99/HDDz/g0aNHeOWVV7Bz5060bNlSf9zPzw/z589H7dq1JV9T1qKComjrPX1EVBStQo/aQcdWQ46aODCZlHCEsPPPP/9g7ty56N27N9zcTP9dVa1aNezevVvyNSWHnUuXLkm+KJEjs5Xuq6Ko2bVVkoKOWoOTLYFdWFRSDRgwwGTQefz4MX788UcMGTIELi4uCA4OlnxNyWGnRo0a0islItnscbp5SQo6UqnRhcVWHVJKnRWUbdvw4cPRrVs3VKpUyeD1tLQ0DB8+HEOGDJF9TcmzsWbMmGGwOvLevXtx4sQJ/fOZM2dK3lKCqKSyh1YdtdhT0OEKylRSqLPOjm13g+l2ZHjytQMHDqBChQqKrik57ERERGD58uX65yEhIRg/frz++bZt2/Ddd98pKoKISi5rBx2p1OjCYqsOaa0kLyro5OQEZ2dnCIKAypUrw9nZWf9wcXFBaGgoRo0apejaZu16zgHLRP/DVh1j9hJ0pOIu50Ta2blzJ0RRRNeuXbFu3TqUL19ef6xUqVKoUaOG4iE1ZoUdInI8agadkoStOmQJJXk2VufOnQHkT4jy9/cvcvNxuWSFndTUVOzbt0/folPweWpqqmpFEdkbe2vVUToTS+7mnsWxlVYdKV1YttKqQ45NnQHKtheWdu/ejQ4dOsDFxQUJCQlISEgo9NxOnTrJvr6ssBMfH4+QkBAA+QsIFnxORCWbPQ1ILsgSg5PZqkOWUlJbdrp06YJ///0XlSpVQpcuXQo9TxAE5Obmyr6+qosKqtnkRGQvHKVVRypbCjpEZB/y8vJM/r9aJIedPXv2qP7hRGQfSvKAZHO7sNiqQ5ZUUlt2inP79m34+PgoblSRHHbkrFRIRLZJSauOPQcdrq9DJY0jLCo4Y8YM1KlTBwMHDgQAhIaG4pdffoGvry+2bt2KFi1ayL6m5LCzd+9eSed16NBBdhFE9sreurDkUnNAsq216EjFVh2yJY6w6/ny5cuxbt06AMD27dtx+PBhHDp0CD/++CMmTpyI2NhY2deUHHZCQkKKbT7irudEypVLyNJ0ywi5rTpqDki21aCj9V5YWgWdu/VLc60dB+UI3VgpKSmoVq0aAOCXX37Bq6++ihYtWsDHxwdBQUGKril5BWUdURSLfBCR7bFm0LEWNbqwzG3VISL5qlSpgrNnzyIvLw87duxAt27dAACPHj2Ci4uy5QFlz8ZydXVFaGgoRo4ciSpVqij6UCIqGWxxnI5U9tqqQ47NEVp23njjDfTt2xd+fn4oU6aMfir63r170ahRI0XXlBx24uLisGTJEkRFRSE6OhqbNm1Cr169MHbs2CLnxBOVVPYyXkerVh17DjpS2HqrDruyHFNJXVSwoLfeegtt27bFtWvX0KVLF31rTo0aNTBr1ixF15Qcdho0aID58+djzpw5+PHHH7Fs2TJs3LgRmzZtQkBAAE6cOAF3d3dFRRCRNuwx6IzGMoPnyzBa9jWK68IqrlWHg5LJVjlCyw4AtGjRwmjW1Ysvvqj4erI7v0qXLo2OHTviwoULOH36NNLS0nDp0iVkZ2crLoKI8mk9SLko1p559WTIsVcMOkTmyc7OxrJlyxAbG4uUlBSjRQalzg4vSHLYycvLwy+//IKlS5fi999/R15eHipVqoRx48Zh9OjR8Pb2lv3hRKQdOa061h6QrGbQsXarDpGWHKFlZ+zYsdiyZQv69u2LBg0aqLI7g+Sw4+/vj+TkZAD5CwyOHTsWYWFhikdGE5F2rBl05LbqWLJFx5xByey+IlvgCIsKbty4EZs3b1Z1MWPJSSUpKQmCIMDFxQVxcXGYMGECJkyYYHCOIAi4efOmasURORo1urAcOeiYO93cnJ3NGXTIEhxhUcHy5cvD19dX1WvKnnqenZ2N27dN/wXJjUCJrMuRg05x2H1FZB+++OILTJ48GStWrEDFisr/AVKQ5LAzbdo0VT6QqCSwxWnnJXGMjpyZWFrtg2Wr3Vecdu6YHGHMzltvvYU7d+6gcuXK8PX1RalSpQyOX716VfY1GXaIbIQ5XVhaBR2p5LTqaNGio+Wg5OKw+4osyRHCzsyZM1W/JkcXE9k5LYOO2t1XcoKOkvV1TNGy+8paQYetOo7LERYVHDp0qOrXlLw3lrOzc7EPzswiUkZpq449BR2tmNN9xXE6RLbp6tWrmDVrFkaOHIlbt24BAGJiYnDhwgVF15McdorbAJQbgRJZlr0FHS1adcztviqMrY7TAdiq4+hy4Wz2w9bFxsaiQYMGiI2NxerVq5GWlgYAOHToECZPnqzomhyzQ2RlSlp1rB105LK37qviMOiQtTjCmJ1JkyZh9uzZGD9+PDw9PfWvd+7cGfPnz1d0TYYdIiuy16Bj7QHJQNGtOhynQyWVIywqGBcXZ3IfrAoVKuDOnTuKrim5G4uI8qk17dwRgo5canVfFYVBh8i2Va5c2eTYnL179yIgIEDRNVUdoFyuXDm0aNECP/30k6JiiKhw9hh0Sto4HWtg0KGC1BmzY9vdYG+++SbGjRuH7du3AwDOnDmDhQsX4p133sE777yj6JqSu7GkDD5OS0vD0aNHMXDgQKSnp+O1115TVBRRSSe3Vcceg44c1h6nY6sDkhl06EmOMGbnjTfegIeHB15//XU8fPgQvXr1QuXKlTFjxgyMHDlS0TVVHbPz8OFDREdH48qVK/jmm28YdohMkBN0tF4sUIvByDqWXiW5pA1IZtAhUxwh7OTm5qJRo0b4/PPPkZWVhaeffhrNmjWDs7PymWSqD1AeOnQoGjVqhHPnzikuishWmTtex16DjlatOrYQdGxxnA6DDhWmpA9Q3rZtG/7zn//gxo0b+h4lQRDg7++PJUuW4IUXXlB0XdUHKD/zzDNo2bIlsrJss/+byFoYdP5nGUZbbN8rBh0i+/DPP/8gLCwML7zwAo4fP47MzExkZGTg6NGj6NSpE3r37o24uDhF11Z9yWNzmpmIbJk5rTpaBB2le1zZQtCRw5wByQw6VNKo041lm91gX375Jfr164dvv/3W4PWgoCCsWLECmZmZmDdvHlauXCn72tzfgUhjUoOOJTbztGTQWYbRBuN2lAxCdpSZVww5JFVJHrOzb9++IoPM6NGjFY8FZtghkkBpq47aQccSIUdN5syy0monc1ubecWgQ3KU5LCTlJRU5Do6AQEBSEpKUnRthh2iYthC0FEacgBlQcfaG3w6QtBhyCEylJmZCVdX10KPu7q6Kh4PrEnY0WJD0Pv372P06NHYsWMHvLy88NFHH2HcuHEmzxUEAWXLloUg5Kff9u3bY8eOHarXRFQYKUHHVltzGHS0x6BDSqkzG8t2W4Zmz54Nd3d3k8cePnyo+LqahJ2PP/5YvyW7WiZMmICcnBwkJSXh4sWL6NKlC+rXr4+OHTuaPP/o0aN45plnVK2BHI+SVh21go6lW3OAkht0pLBE0GHIIXOV5G6sDh064NixY8Weo4TksJOXl4ecnByUKlVK32Ly888/Y+vWrfD09ESfPn3Qpk0bAECPHj0UFVMY3WKFx48fh6enJ5o2bYphw4Zh5cqVhYYdInNpEXRsNeQAJTvoWHvmFUMOqaUkh52YmBjNri057AwfPhxRUVHYsGEDevfujejoaPTv319/fP78+fj555/RvXt31Ys8f/48RFFEgwYN9K8FBQVh3rx5hb6nU6dOyM3NxbPPPos5c+agYcOGJs9LTk5GcnKy0evx8fHmF052S27QsXZrjrkDkBl0tMGQQ2QbJIed48ePw83NTd9q89VXX0EURXh7e8PHxwcJCQn4/PPPNQk76enp8PLyMnjN29sbaWlpJs+PiYlB69atkZWVhdmzZ6Nr166Ij483ugYALF26FNOnT1e9ZnIcagQda86yYtDRBoMOaaGkr6CsFclh58aNG6hZsyZcXV2RlpaGQ4cOQRAE/PTTTwgODkbVqlU1aw3x8PBAamqqwWsPHjyAp6enyfODg4MB5I/cnjlzJlavXo39+/ejW7duRueOGTMGvXr1Mno9Pj4e4eHhKlRP9kZOq4653VbWnkpuzaAjZVVkeww6DDmkpZK8qKCWJG8XkZGRAReX/Gz0999/Iy8vD2XKlEGnTp3g6uqKatWqmTVSuij16tWDIAgGYerEiRMIDAyU9H4nJ6dCZ4j5+fmhWbNmRo/69eurUjvZF0sFHW+f24q3eWDQyWdrQadCfCaDDmkuF85mP5S6f/8+XnnlFXh6eqJq1apYtGhRse+JjIyEIAhYsmSJ4s9Vg+SWnerVqyM+Ph7ff/89NmzYAABo27atfnuIK1euoFKlSpoU6e7ujr59+2Lq1KlYtWoVEhMTERkZiXXr1hmde/r0aWRlZaFx48Z4/Pgx5syZg4yMDLRurWylVXIcagUdtVtztFgQkEFHPQw45Cjkzoq+c+cOPv/8c8kNE1qS3LLTv39/5ObmYvjw4di6dSsEQcDQoUMBACdPnsT9+/c1vaGFCxdCEAT4+fmhe/fumDFjBjp16gQgv5tr3759AICUlBQMHDgQ5cqVg7+/Pw4ePIjffvsN3t7emtVG9s8SQUdua46arTgFWSvonECQpPE5DDpEhbNWy45uVvTMmTONZkUX5t1338XEiRPh4+Oj9HZVI7ll58MPP8Tt27exYcMG5OXl4bXXXsPAgQMBAD/88AN8fHzQs2dPzQr19vZGdHS0yWPp6en6/+/YsSPOnj2rWR1U8kgNOuaEHKm03tbBmkGnOFL2ubKVoMOQQ9ai1qKCaWlpha5p4+fnBz8/P4PX5M6KjomJwfnz57Fq1SpERUWZVa8aJIcdNzc3LFy4EAsXLjQ6Nnv2bMyePVvVwogswVaCjiOHHMB+gg5DDlmbWuvsHDlyBHPmzDF5bNq0aYiIiDB4Tc6s6KysLIwfPx5RUVH6dfmsjXtjkcPSMuhICTmW2JzT1kMOYF7QseQWEAw6VJK0aNECc+fONXnsyVYdQN6s6NmzZ6NLly5o2rSpOsWqQHLY0Y2PKYogCNi1a5dZBRFZgrlBx1ZDjq2vmVOQ1q05gDpBhyGHbIlaLTuenp5o1qyZ5PMLzorWzVYubFb07t27ceLECaxZswZAfij6+++/sX//fnz//fdm166E5LATExOjb44qbBq3rTRXERVFStDRojWnJCwAWBg5IQdgtxWRUtZaVFDOrOjo6GiD3cn79euH0NBQjBo1yoyqzSO7G6tUqVLo1KlTobuSEtkyc4KOpUKOrQYaU+SGHMA+gg5DDtkqay4quHDhQowaNQp+fn7w8vIymhW9Y8cOtG/fHr6+vgbvc3Nz0++2YC2Sw05YWBh++eUXPH78GPv378egQYMwduxYNGrUSMv6iFRj6aAjNeTYU7gBlAUcQFrIARh0iIpizY1Apc6KfpKWG3xKJTnsrF+/HikpKVixYgWWL1+OxYsXY8mSJWjdujXGjh2LQYMGsRuLbJbaQcfckOMoAUfHHoIOQw5RySWrG6tSpUqYPHkyJk+ejJ9++gmjR4/G/v37ceDAAfTo0QMVKlTQqk4ixYoLOpYKOY4WcAB1Qg7AoEOkY82WHXsme8zO4cOHsXTpUvz000949OgRypQpg379+sHDw0OL+ojMYomgU1TIsZeAo0awKUhqyAGsO+OKIYfsjVqLCjoayWFnyZIlWLp0Kf755x+IoohnnnkGY8eOxZAhQ7gVA9kcpd1WarXm2EPIUTvg6DDoEGmHLTvKSA4748aNgyAIcHFxQWhoKEJCQgDkbxXx5HlE1mSJoKM05IzGsmJr01mG0ZLPlUqrgAOoF3IAbbutGHKIHI/sbqycnBxs2LBBv/N5QYIgMOyQVanVbSUn5BQVcOSEm8Leq0bosZWQAzDoEJmDLTvKyAo7hS0mKPU4kZaUBB2prTlyQo45Aaew65kTeGyhuwowP+QADDpE1lpU0N5JDjt5eXla1kFkFlsIOmqHHDVoEXTkhhzAukGHIYdKEmsuKmjPVNsINCUlBWvXrsWbb76p1iWJJFEj6CgNOZYKOHJbd+wl5ADstiIi7ZkVdh49eoRNmzYhKioKu3btQl5eHsMOWZTcoKO0NcdaIUcJNYOOkoCjw9YcIvVxzI4yssNOXl4edu7ciaioKGzevBmPHj0CkD9ex8VFtYYiomIVFXTUas2xlZAjtVVHraCjZcgBGHSIlGLYUUZyOjl69CiioqLw448/IiUlBcD/BiQLgoA1a9agR48e2lRJ9ARLBx1bbsnRsdSWDoWxdsgBGHSo5OMAZWUkh50WLVpAEASIogg3Nzd0794dAwYMwMiRI5Geno4BAwZoWScRAG3G59h7yAHMCzqWCDkAW3OIyHpk9zs1a9YMUVFReOaZZwAAo0erv/AZkSnmjs8prjXHVrqs5NJ6F/LCqBlyAAYdIik4G0sZ2evsHD9+HI0aNUJISAj69++P3NxcrWoj0lO728qeWnOKGq8jN+iYG3AA6SEHYGsOkdo4ZkcZyWHn3Llz+P7777F27VokJiZi165d2L17t/74kiVL0KtXL1SpUkWTQslxaRl0bDnkFEdO0LHFkAMw6BDJlQdnOGLLjLmcpJ5Yt25dfPLJJ7h48SL+/PNPjBkzBhUqVIAoihBFEePHj4e/v7+WtZIDMifoePvcNgg6rXHA7oJOYa06UoPOgf+/a3Pcv1NRVpeV1NYcJUGnQnwmgw4RyaZornibNm3Qpk0bLFiwANu3b0dUVBS2bt2KrCzlsyiIniQn6DhKaw4gL+iYQ05LDsDWHCKLyAMEMxt2OBtL7ptdXNCrVy/06tULaWlpWL9+PQBgx44duHXrFoYMGaJKkeR4GHRMt+pICTolLeQADDpEOkKeyLCjgGqrAHp6emL48OEAgBkzZuDw4cMMO6SIWkGnsEHIth5yAGVBR+uFAJ8kNeQAbM0hUo0jJhUVcMljsimFBR0p43MKUrM1p/KhfyWd92/LyrKvLZVWQcdWQw7AoENkiqBCN5YjYtghm6Fl0NEy5BQ8X43A82SrTlFBx1ZDDsDWHCKyHQw7ZHVajM9R2pojN+CoTcugoyTgAJYLOQCDDlFx1Biz44hdYQw7ZFVajM9REnTUCjnmtO5oFXQYcohKDnZjKaNJ2NFtEEpUFKVBR81uK2u35MhliyEHYNAhshj+elVEk7CzePFipKamanFpKiFKatDRslVHatCxxHgc/fsYcojIDqgWdjp27IirV68iISEBTZs2VeuyVAKpHXTkdlvZWmuOWkHHXkIOwKBDpJQqY3YckGph5/r167h8+bJal6MSSo2go7Q1x9ZCDqBO0GHIIXIcHLOjjOSw06lTpyKP37hxw+xiqGRTY2o5g44hLTbnNPleM0MOwKBDpAa27CgjOezExMRAEIQiBx8L/A5QIaQGHbkzrooLOpYMOXLG6xQXdBhyiIjUIznsODk5oUKFCggODjZ5/Ndff8WjR49UK4xKDkcIOubQKuhYO+QADDpEquNsLEUkh52GDRsiJSUF0dHRJo/XrVsXiYmJqhVGJYOSoFPcQGRb7LZS2qojJ+gw5BCRKmN2HDAwSQ47HTp0QFRUFJKSklClShWj41WrVkVOTo6qxZF9s0bQsfXWHK2CjjkBB2DIIbIXHLOjjOSws2DBAixYsKDQ4zExMWrUQyWEIwUdqa06SoKOliFHrYADMOQQkW3jdhGkOnODjj2Nz7HHoKNmyAEYdIgsSY1uLEdsGJIcdvbu3SvpvA4dOiguhuyfIwUdqeQGHS1CjtoBB2DIIbIKBxxvowbJYSckJKTYqeWCIHDcjgOzdNCxdsiR0qqjZtBhyCEijtlRRnY3Fjf5JFMYdIwVFnTkdlsx5BARmUdW2BFFEa6urggNDcXIkSNNzsoix8OgY8waQUeLgAMw5BDZEm4XoYzksBMXF4clS5YgKioK0dHR2LRpE3r16oWxY8eiS5cuWtZINszRgo4UcoIOQw4RycF1dpRxknpigwYNMH/+fCQlJWHlypV49tlnsXHjRrzwwguoW7cuHj58qGWdZIMcMegU16pjyaBTLiFLs+4qBh0i2yTkiWY/HJHsMTulS5dGx44dceHCBZw+fRppaWm4dOkSsrOztaiPbBSDjjFzg46ckKMFBhwiO+CYWcVsksNOXl4efvnlFyxduhS///478vLyUKlSJYwbNw6jR4+Gt7e3hmWSLWHQMWaJoMOQQ0SkjOSw4+/vj+TkZABAcHAwxo4di7CwMLi4cF1CR8KgY0xq0FHabcWQQ0Q6HKCsjOSkkpSUBEEQ4OLigri4OEyYMAETJkwwOEcQBNy8eVP1Isk2MOgYMyfoWCPkMOAQ2Teus6OM7Knn2dnZuH37tsnjxS06SPaLQceYVkGHIYeICsPZWMpIDjvTpk3Tso5i3b9/H6NHj8aOHTvg5eWFjz76COPGjTN5bmxsLMaPH4/ExEQ0btwYK1asQMOGDS1cccnBoGPMHoIOAw4RUT67CTsTJkxATk4OkpKScPHiRXTp0gX169dHx44dDc67c+cOQkNDsXDhQvTt2xfz5s1DaGgozp49y/FFCjDoGFMadBhyiMhsDtgqowbJ6+wAwLZt2xAeHo7w8HBs375dq5qMPHz4ENHR0Zg5cyY8PT3RtGlTDBs2DCtXrjQ6d+PGjahXrx4GDRoENzc3TJo0CWlpaYiNjbVYvSVFYUHnSYUFnYJKWtA5gSB90DmA1lYPOrq1cRh0iEo2ddbZcbzEJLmpY/PmzejTp4/++dq1a7Fx40aEhoZqUlhB58+fhyiKaNCggf61oKAgzJs3z+jcuLg4NGnSRP/c2dkZgYGBiIuLQ+fOnY3OT05O1s8yKyg+Pl6l6kuegq06RQUdXatOSQw6OuZ0W6kVcojIcXA2ljKSw87cuXMhiiLKli0LAHj06BHmzp1rkbCTnp4OLy8vg9e8vb2RlpZm8tzy5ctLOhcAli5diunTp6tXbAkhtfuqMAw62rXmMOAQEckjOeycPXsW5cqVw4ULFwAAdevWtVjrh4eHB1JTUw1ee/DgATw9Pc06FwDGjBmDXr16Gb0eHx+P8PBwM6q2X2qN02HQMcaQQ0Tm4NRzZSSHnbt37+K5555DxYr5f6nXq1cPf//9t2aFFVSvXj0IgoD4+HjUr18fAHDixAkEBgYanRsYGIjly5frn+fl5eHUqVOYPHmyyWv7+fnBz89Pm8LtkCWDji2wh6DDkENEeo433EYVsqYnpaenY9++fRBFEenp6QCgf67ToUMHdSsE4O7ujr59+2Lq1KlYtWoVEhMTERkZiXXr1hmdGxYWhvfeew9r165FWFgYvvrqK3h6eiI4OFj1ukoaNWdeSWHtVh1LBR2GHCJSixpjdhyxYUhW2ImPj0dISIjBawWfC4KAnJwcNeoysnDhQowaNQp+fn7w8vLCjBkz0KlTJwD5XVc7duxA+/bt4ePjg82bN2P8+PEYMWIEGjdujC1btnDaeTEcbYq5uUFHy9YchhwiInXJXkHZWry9vREdHW3ymK6VSSckJASnT5+2RFklgrlBpyAGnQKvyww6DDlEVBxVxuw4YFeY5LCzZ88eLesgK5G6lk5R7GmcTlFBx9RigZbotmLIISKpOPVcGclhR86Yl5UrV+L69ev4+OOPFRVF1qfVgGRrterY4vgchhwiks2KrTJSt206ePAgpk2bpp/E1KpVK3z11VeoW7eupUvWk7WCslTffvst166xA44yINnWgg5XOiYie1Rw26atW7di6tSpJnt97t27hxEjRiAxMRHJyckIDAw0ucSLJXHUroOy9IBka1E76LA1h4isyVrr7Oi2bTp+/LjRtk1P7lHZvXt3g+fvvvsu5syZgzt37sDHx8eSZesx7DggSw9IBqzTqmOJgchyWnOIiMyl1pidtLQ0HDt2zOQxU+vPydm26UmxsbGoXLmy1YIOwLDjcNQckGyrigs5gHHQ0arbiiGHiNSkVtg5cuQI5syZY/LYtGnTEBERYfCanG2bCkpMTMSECROwYMECs+o1F8MOAdC2+8qSrTqWGJ/D1hwisha1pp63aNECc+fONXnY1K4CcrdiAoDr16/j+eefxwcffIBXXnnFvJrNpEnYseZ6PFQ4a3RfWYqS1hxAm/E5DDlEZOs8PT3RrFkzyefL2bYJAG7cuIGOHTti1KhRePvtt1Wp2RyazMbavHkzEhMTtbg0KaQk6DxJSfeVJVp11Ag69+9UZNAhItsnqvBQoOC2TWlpaTh58iQiIyMxfPhwo3OTkpIQEhKC8PBwfPDBB8o+UGWyw05qaiomT56M1q1bo3bt2ggICNA/ateuDQCoXLkyatSooXqxpIzScTr2MPtKraBTkJKgw+nkRGQJQp75D6UWLlwIQRDg5+eH7t27G23btG/fPgD5y89cvHgRX3zxBTw8PPSPq1evqvElUER2N9bw4cOxefNmk11VApd1tCvmdF9ZmxbdVoCy8TkMOURkKdaaeg5I37Zp2rRpmDZtmqXKkkR22Pnjjz8gCAIGDx6MmjVrMuDYOK26r6zVqiMl5ACWGZ/DkENEZB9kh51atWrh8ePHiIyM1KAcUpMa3VcFWbtVR05rDqB9txURkaVxbyxlZIedb7/9Fi+99BImTJiA7t27G00769Chg2rFkXJFBR053Ve20KqjVWsOwG4rIrIznOysiOywk5qairy8PCxevBiLFy82OCYIAnJyclQrjtSntPvKGq06UkMOYJmgw5BDRNam1jo7jkZ22Bk7dizu3r3LtXRsmNrdVwVp3aojJ+AA0rqtAI7PISJyZLLDzs2bN+Hj44N169ahevXqcHHhIsy2RGn31ZPUatXRhZei1tuRG3B0LLVbOYMOEdkKNcbsOOKQH0VTz6Ojo9GiRQu4u7trURNp4Mmg8yQprTrmUBpoTFHSmgOw24qI7J81p57bM9lh5969e7h37x7q1KmDdu3aGQxQFgQBK1asULVAkk5O95WSlZJtYRFBU605ALutiMhBcASJIrLDTlRUFARBwM2bN7Fx40b966IoMuxYkTndV0W16lh7urmOWq05QNFBhyGHiKjkkR12OnTowIUEyWIKCzkAu62IyPFwnR1lZIedmJgYDcogc6jZqqNks0+tWKo1B2DQISL7wDE7ynAqlZ2TE3TshZqtOQC7rYio5FClZccBx/3IDjvOzs6FHuOigrZNzlgda7BkyAEYdIiIHIXssMPFBG2H1q06lhqcXDDkAEV3WQEMOkTkwPgrWBHZYWfVqlUGz1NTU7F161bs3r0bn3zyiWqFkeU9OV7nBIIMAs8yjFZ1+nlRIQcovjUH4CBkInIsHLOjjOywM3ToUKPXXn/9dTRv3hxHjhxRpSgqntxWHVvpwnoy4ADFhxyArTlERABnYyll9gBlURSRkJCA27dv49y5c2rURMVQuveVGpS07pgKOICykAMw6BCR42LYUUbVAcoBAQFmFUPmk9KqY66C4cVU8Cks3ADGAQcwHXIAtuYQEZE6VBugXLZsWcyZM8fsgqholm7VeXLczpOKCjZPXscUtuYQEUnHMTvKmD1AWRAE+Pr64rnnnoOPj49qhZHlHUBrk4sKFhd4CiMn4AAMOURExVJjNpYDzuhSZYAyWUZxrTpaLiKoCy5FhZ7Cwo1OYSEHkNZlBTDoEJFj45gdZSSFnRkzZqBatWoYMWIEZsyYUeS5H3/8sSqFkTrUHq9TXKAxRU7IAZS15gAMOkREZJqksBMREYHWrVtjxIgRiIiIKHIjUIYdbVhqrE5hXVlKrlMUqSEHYGsOEZGOGmN2BAfsx5IUdvz9/VG5cmX9/3PXc9ujZheWLqjIDT3FBRxA3ZADMOgQkWNhN5YyksLO5cuXTf4/lWwFw8uTwUdKsCnIVMgB2JpDRCSL4zXKqIK7ntsBay4iqCM33OioHXIABh0iIpJHdthJSkrCu+++i5iYGNy6dctg3R3uem4/7t+pqNmWEYUFHIAhh4jIHFxnRxlFU893797N3c8tRMtWHTUDT1EBByg85AAMOkREUqkyZscBf33LDjsHDhyAk5MT3nzzTdSvXx8uLuwJs7aiBieXS8wqcvq5OYGnuICj+/xCjzHkEBHJwpYdZWQnlVq1aiE3Nxdz587Voh6ygoKhpbDgIyXYFGRuyAEYdIiISB2yw86XX36JXr164dtvv8Wrr74KLy8vLeoiK5EbagoqKuAADDlERGZzwC4oNTjJfcMLL7yArKwsjB07FuXLl4ezs7P+wS4tdak1Xqe4EKLG9Rl0iIi0J+SZ/3BEqu16TtZTLiGr2EUFixu7I/szJQYohhwiIvVwzI4yZu96TvZDF1CUhh45LUQMOUREZCu467kDKhhaTAUfpd1eUgOODoMOEZE83C5CGUWDbE6fPo05c+bg6NGjEAQBzZs3x6RJk9CgQQO16yONqTGehyGHiMhC1BhJ4oCjUWSHnb///hshISHIyMjQj985c+YM1q9fj9jYWDRv3lz1Ih2R3MHJUsbtqI0hh4jIsjhmRxnZYWfKlCl49OgR/P390a1bN4iiiN9++w1Xr17FlClTsGPHDi3qJAksEXjkBhyAIYeISC3sxlJG0QrKFStWxKlTp+Dp6QkASE1NRe3atbF//37VCyR5tAg8SgKODoMOERFZm+yw8/jxY1SsWFEfdADAy8sLnp6e+Pfff1UtjpRRI/CYE3AAhhwiIi2wZUcZ2WGnYcOGOH78OPr164e+ffsCAKKjo3H58mWO17EhT4aVIvfPMjPYFMSQQ0SkHTXG7DhiVpIddt59910MGjQIGzduxMaNG/WvC4KAiRMnqlqczpQpU7BkyRLk5ORgwIABmD9/PkqVKmXy3JCQEBw8eNBgNef09HRN6tJShfhMVXc8VzPQmMKQQ0RkAQ44k0oNsreLGDBgAJYtW4aqVatCFEWIooiqVati2bJlePXVV1UvcPny5fjxxx/x999/48KFCzh27BhmzpxZ5Hu++uorpKen6x+knQrxmQw6RERk02SHHQAYOXIkrl69ips3b+LmzZu4evUqXnvtNbVrA5C/YvM777yDmjVrwtfXF1OmTMHKlSs1+SySjiGHiMjyVNkbywFbhxQtKpibm4uLFy8iJSUFoigiPj5ef6xDhw6qFQcAcXFxaNKkif55UFAQrl+/jgcPHqBcuXIm3zN16lR89NFHqF27NqZOnYqePXsWev3k5GQkJycbvV7wnqxF7a4sNTDgEBFZD9fZUUZ22Nm7dy/Cw8Nx48YNo2OCICAnJ0fytXJzcwvdWFQQBDg7OyM9Pd0g1Hh7ewMA0tLSTIad2bNno379+ihdujS2bt2K/v37Y8+ePXjuuedMfs7SpUsxffp0yTU7IgYcIiLbwNlYysgOO//5z39w/fp1VT68c+fOiI2NNXnsqaeewr///gsPDw+kpqbqX3/w4AEAGEx9L6hly5b6/w8LC8OWLVuwcePGQsPOmDFj0KtXL6PX4+PjER4eLvletGLN1h2GHCIiKglkh52rV6+iQoUKWL9+PWrWrAnBjIgZExNT7DmBgYE4efIk2rRpAwA4ceIEqlWrVmgX1pOcnJwKbT0CAD8/P/j5+Um6lrVYMvAw4BAR2TAHHG+jBtlhJywsDH/88QdatGgBd3d3LWoyMGzYMHzxxRfo0aMH3N3dMXPmTIwYMcLkuffv38eBAwcQEhICV1dXbNu2DevWrcPvv/+ueZ1a0zLwMOAQEdkHjtlRRnbYWbRoEVq0aIE6deqgXbt2Bt1JgiBgxYoVqhY4cuRIXLlyBc2bN0d2djYGDBiAKVOm6I93794d7du3x4cffojs7GxMmzYN8fHxcHJyQp06dfD999+jbdu2qtZkLbpQYm7oYbghIrJPHLOjjOyw88knn+Ds2bMAYLCooCiKmoQdQRAwc+bMQtfWKbjxqK+vLw4fPqzq59uiJ8NKYeGHoYaIiEhB2Fm8eDEEQYC/vz+qVatmsFIxWQdDDRGRY1ClG8sBx/3ITioVK1ZE5cqVce7cOS3qISIiosI4YFBRg+wVlOfPn4+bN29i/fr1ePjwoRY1ERERkQmqrKDsgGS37OjWpDG1D5bcRQWJiIiItCY77BS1Zg0RERFph1PPlZEddlatWqVFHURERFQMTj1XRnbYGTp0qBZ1EBERUXGs2Lly//59jB49Gjt27ICXlxc++ugjjBs3zuS5sbGxGD9+PBITE9G4cWOsWLECDRs2tHDF/6No3nh8fDz27t2r3/VcRxAETJ06VbXiiIiI6H+sOfV8woQJyMnJQVJSEi5evIguXbqgfv366Nixo8F5d+7cQWhoKBYuXIi+ffti3rx5CA0NxdmzZ622XI3sT12wYAHefvvtQsfuMOwQERGVLA8fPkR0dDSOHz8OT09PNG3aFMOGDcPKlSuNws7GjRtRr149DBo0CAAwadIkfPXVV4iNjUXnzp2tUb78sDN79mzk5eWhTJky8PX1NWsjUCIiIpIuv2XH/KadtLQ0HDt2zORRUxtknz9/HqIookGDBvrXgoKCMG/ePKP3x8XFoUmTJvrnzs7OCAwMRFxcnP2EncePH6NGjRo4c+YMypQpo0VNREREVEBAQAAA4PblnfCt9YLi6zz49yiyM27j4sWLaN68uclzpk2bhoiICIPX0tPT4eXlZfCat7c30tLSjN6fnp6O8uXLSzrXUmSHnXfffReffvopTp8+jWeffVaLmoiIiKiAjh07ony19kg48Dl8/DvBybmU7GuIooiLBz6Fh08DfP311/joo49Mnvdkqw4AeHh4IDU11eC1Bw8eGGwGruRcS5EddsaMGYPvvvsOLVu2RIUKFYx2PU9ISFC1QCIiIgJ2/zIfTZs2Q3L8WlQNHCL7/bcv/YrUf4/it99+Q7Vq1VCtWjXJ761Xrx4EQUB8fDzq168PADhx4gQCAwONzg0MDMTy5cv1z/Py8nDq1ClMnjxZds1qkb1dxJAhQ3Du3DmIoog7d+7g8uXLBg8iIiJSX1BQECrXC8OlI18h53G6rPfm5WYj4eBslK/eAV27dpX92e7u7ujbty+mTp2KtLQ0nDx5EpGRkRg+fLjRuWFhYTh37hzWrl2LrKwsfPHFF/D09ERwcLDsz1WL7JadXbt2wcnJCYMGDUL16tW56zkREZGFHP7jS9SsVRdXTyxBwHMTJb8vKf4HZDy4jIN7Nyv+7IULF2LUqFHw8/ODl5cXZsyYgU6dOgHI77rasWMH2rdvDx8fH2zevBnjx4/HiBEj0LhxY2zZssWqeUH2Jzdp0gT3799HZGSkBuUQERFRYapXr45J772NOXO/QtUG4XDzqFzse3Iep+Hyka9R+em+aNy4seLP9vb2RnR0tMlj6emGLU0hISE4ffq04s9Sm+xurOHDh+Py5cuYMGECtm3bhr179xo8iIiISDsffPABnF3K4tIR42nfplw9vhi5OQ9x5A9p55dEigYoC4KAxYsXY/HixQbHuOs5ERGRtsqVK4f/zonAG2++hWqNX4OHz9OFnpuZnoxrJ5fjg/fflTUguaSR3bID5E9fM/XIy8tTuz4iIiJ6wpgxY1DGyx8JB2cVed6lw/+Fcyl3vP/++xaqzDbJbtm5dOmSFnUQERGRRK6urvh++Rfo168f7l7/ExWqtTM6J/1OPP49tx4LFsw3WhDQ0chu2alRo4bJR5kyZbB582YNSiQiIqIn9enTB15PNUPCgVkQReOelYQDn6FMuZoYM2aMFaqzLYq6sXQePXqENWvWoHv37qhWrRreffddteoiIiKiIgiCgB0bFyD99mncvLDZ4Njda/tw91osolbORalS8ldbLmlkd2Pl5eVh586diIqKwubNm/Ho0SMA+eN4uOYOERGR5bRp0wa+tboh8dBc+Ab0gLNLaYh5uUg4MAvlKj+Ll19+2dol2gTJ6eTo0aOIiorCjz/+iJSUFAD5AQfIT5dr1qxBjx49tKmSiIiITPrrt/l4+pkGuH4qEjWajsW/5zch/c4Z7N+/X4Ud0ksGyd1YLVq0wPz583Hz5k24uroiNDQUP/30k35vrAEDBqBcuXKaFUpERETG6tati/HjxuLqsYXITE/GpcP5rTytW7e2dmk2Q/aYnWbNmuH48ePYuHEj+vXrBycns4b9EBERkZk+/vhjiGIejm/ui8cZt7D/t6+tXZJNkTXIRhRFHD9+HI0aNUJISAj69++P3NxcrWqzqoyMjPz/3r5g5UqIiMjW6X5X6H53WJqvry9mREzGRx99hNdffx116tSxSh02S5To/Pnz4pQpU8TatWuLgiCIgiCITk5O+sfixYvFGzduSL2czYuKihIB8MEHH3zwwYfkR1RUlNV+bz169Ejcs2ePeP/+favVYKsEUfz/UcYy7N+/H6tXr8b69etx584dAPmDlEvSdhG3b9/Gb7/9hpo1a6JMmTLWLkeS+Ph4hIeHIyoqCvXr17d2OZpzpPvlvZZcjnS/JfleMzIycPnyZbzwwguoWLGitcuhJyiaK96mTRu0adMGCxYswPbt2xEVFYWtW7ciKytL7fqspmLFihg0aJC1y1Ckfv36aNasmbXLsBhHul/ea8nlSPdbUu+1bdu21i6BCmHWwjguLi7o1asXevXqhbS0NKxfv16tuoiIiIhUodpUKk9PTwwfPlytyxERERGpgvPGiYiIqERj2CEiIqISjWGnBPHz88O0adPg5+dn7VIswpHul/dacjnS/TrSvZJtUTT1nIiIiMheyJ6NlZOTgxUrViAmJgYpKSkomJUEQcCuXbtULZCIiIjIHLLDzvjx47F8+XIAwJONQtxdlYiIiGyN7LCzfv16iKKIZ599Fk8//TRcXMxaqoeIiIhIU7IHKJcuXRq1a9fG4cOHsXr1aqxatcrgQZY3ZcoUVKxYEd7e3vjPf/6D7OzsQs+dOnUqGjVqBBcXF3zwwQcWrFKZ+/fv45VXXoGnpyeqVq2KRYsWFXpubGwsAgMDUbZsWbRq1QqnT5+2YKXmk3qvjx8/Rt++fVGzZk0IgoBff/3VwpWqQ+r9Hjx4EC+88AJ8fHzg4+ODF198ERcu2NcGvVLvNTExES1btkSFChXg7e2NNm3a4M8//7RwteaR82dWJzIyEoIgYMmSJRaokByR7LDz3nvv4d9//0V8fLwW9ZBMy5cvx48//oi///4bFy5cwLFjxzBz5sxCz69Tpw7mzJmDXr16WbBK5SZMmICcnBwkJSVh69atmDp1Kvbs2WN03p07dxAaGorJkyfj3r17CA0NRWhoqF3t1Sb1XgGgXbt2WL16NapVq2bhKtUj9X7v3buHESNGIDExEcnJyQgMDLSbn18dqffq6+uLNWvW4Pbt27h37x4mTpyInj17FvkPGFsj5+cYyP+z+/nnnyMwMNCCVZLDkbtzaEhIiOjq6iqWKlVKbNq0qdixY0f9o1OnTqruUkrFa9Omjbhw4UL9859//lmsVq1ase8bOnSo+P7772tZmtnS09NFV1dX8fTp0/rX3nnnHTE8PNzo3GXLloktWrTQP8/JyRErVaok/vHHHxap1Vxy7rWgGjVqiDt27NC6PNUpvV9RFMWbN2+KAMTbt29rWaJqlN5rbm6uuHnzZhGAeOPGDa3LVIWSex06dKj47bffisHBweLixYstUSY5INktO7GxscjOzkZOTg5OnDiBmJgYgwdZVlxcHJo0aaJ/HhQUhOvXr+PBgwdWrEod58+fhyiKaNCggf61oKAgxMXFGZ375NfB2dkZgYGBJs+1RXLutSQw535jY2NRuXJl+Pj4aFmiapTca40aNeDm5obevXtj2LBhqFKliiVKNZvce42JicH58+fx2muvWapEclCyRxcPGTKEs64sJDc312jGm44gCHB2dkZ6ejrKlSunf93b2xsAkJaWZvC6PUpPT4eXl5fBa97e3khLSzN5bvny5SWda4vk3GtJoPR+ExMTMWHCBCxYsEDL8lSl5F6vXLmCzMxM/Pjjj3b1962ce83KysL48eMRFRVlV/dI9kl22ImMjNSgDDKlc+fOiI2NNXnsqaeewr///gsPDw+kpqbqX9e16Hh6elqkRi09eW9A/v2Zujc559oie69fLiX3e/36dTz//PP44IMP8Morr2hdomqUfm9Lly6NYcOGoU6dOmjatCkaN26sZZmqkHOvs2fPRpcuXdC0aVNLlUcOTNF2EZmZmVi1ahUmTJiA119/HZGRkcjMzFS7NocXExMDURRNPv79918AQGBgIE6ePKl/z4kTJ1CtWjW7b9UBgHr16kEQBIPB8CdOnDA5kPHJr0NeXh5OnTplN4Me5dxrSSD3fm/cuIGOHTti1KhRePvtty1VpirM/d7m5OQgISFBq/JUJeded+/eje+++w4VK1ZExYoV8ddff2HixIkYMmSIJUsmRyF3kM/NmzfFZ555RnRycjJ41K9fX7x586ZaY4lIomXLlol169YVL1++LN66dUts2bKl+PHHHxd6/uPHj8WMjAwxPDxcnDhxopiRkSFmZ2dbsGJ5Bg4cKPbp00dMTU0VT5w4Ifr4+Ii7du0yOu/27dtiuXLlxB9++EHMzMwUP//8c7F27do2fW9PknqvoiiKmZmZYkZGhujv7y/+/PPPYkZGhpibm2vhis0j9X5v3Lgh1qlTR4yIiLBCleqQeq979uwRDx8+LGZnZ4sPHz4UZ8yYIXp4eNjNAGVRlH6vKSkp4rVr1/SPVq1aiZ999pndDDwn+yI77AwdOlQUBEF0cnISn376abFevXr6wDN8+HAtaqQi5OXliR999JHo4+Mjenl5iWPGjBEfP36sP96tWzfx008/1T8fOnSoCMDgMW3aNCtULs29e/fEvn37iu7u7qKfn5/BzDN3d3dx7969+ud79uwRGzRoIJYuXVp87rnnxLi4OGuUrJice61Ro4bR93HPnj1WqFo5qfcbEREhAhDd3d0NHleuXLFW6bJJvdeff/5ZbNCggeju7i5WqFBB7Nixo7hv3z5rla2InJ/jgjgbi7QkeyPQp556Cg8fPsSff/6JoKAgAMDx48fRrl07eHp66rtXiIiIiGyB7LDj5uaGunXrGk0lbNiwIS5evIisrCxVCyQiIiIyh+wBytWrV8fZs2fxzTff4ObNm7h58yYWLFiAs2fPwt/fX4saiYiIiBSTHXbCw8ORl5eHN998E1WqVEGVKlXw1ltvAQAGDx6sdn1EREREZpHdjZWTk4Nhw4bhhx9+MHh90KBBiIyMhLOzs6oFEhEREZlDdtjRSUhIwLFjxwAAzZo1Q+3atVUtjIiIiEgNisMOERERkT2QtF1EQEAAmjVrhvXr1yMgIKDQ8wRBsJuVPomIiMgxSAo7ly9fRuXKlfX/Xxhu5kZERES2RlLYmTZtGqpVqwYA+PjjjxlqSqjIyEgMHz4cAArdbd2UYcOG4bvvvkNwcDBiYmI0qs66Hj9+jHr16iE5ORmXL1+Gn5+ftUuyiJo1a+LKlSuYNm0aIiIirF0OEQDgpZdewrZt2/D777/j+eeft3Y5ZA/kLrl85coV8d9//1VtCWcqWnBwsH47gH79+hkcW7BggcF2AeZatWqVomvptqAIDg4u9Jw9e/bor92gQQODfZx8fHyMtq1AIVtZ6L4epj7r0aNHYr169fTv/eWXX4zO+fXXX/XHnZ2dxeTkZEn3uHjxYhGAOHjwYKNj586dM/g+HD58WNI17UHv3r3Fli1bit9++61V6yj486N7VKhQQWzTpo24ceNG/XnTpk3TH/fz8zPYGy0uLq7Q7TUmTJggNmrUSHRycir2Z7kwUn4OCh4vuI2CKIpinz599McKfn5GRob48ccfi3Xr1hVLly4tli9fXgwMDBQHDx4sae+3gl8Tqa9J/dqZ+r48+Wf30qVL+tcqVqwopqWl6a/bvHlzEYA4dOhQ/WumtkIBINaoUUN/zs6dO0UAYsuWLYu9fyJRFEXZ6+zUqlULYWFhRq93794dTz31lNzLkQybN2/GzZs39c+XLVtmxWqUO3PmDNauXav6dd9//32cP3++yHOioqL0/5+bmyu5jkWLFgEABgwYYHRs9erVhX6Gvdu0aRMOHjyIkSNHWrsUvfr166NFixbIycnB/v37ERYWhl9++cXovOTkZIPXly5dWug1V69ejZs3b6J8+fKK65L7c1Cwnps3b+Lnn382ed67776LGTNmICEhAbVr10alSpVw4cIFrF69Gjk5OYrrLYqcr51O/fr10bJlS/1D1xtQ0O3bt/H1119LqqFixYoG12vatKn+WKdOnVCpUiUcOnQIx48fl3Q9cmyyw46Yv3mo0etJSUm4ffu2KkWRMRcXF2RnZ2PVqlUAgAMHDuDUqVMoVaqUyfPXrl2L5s2bo3Tp0vDy8sILL7yAI0eOGJyzevVq1KhRA+7u7hgwYADu379v8lpLly5Fo0aN4ObmBl9fX4wcObLQc6WaMWMGcnNzzbpGQXv27ME333xjMojrPHr0CJs3bwYA/V+cUoLJ6dOncerUKbi5uaFz585Gx3VrTumu+eOPPxr8Erp8+TIEQYAgCFi2bBnatGmDsmXL4qWXXsK9e/cwe/Zs+Pr6omrVqpg/f77+fZGRkfr3bd26FbVr14aXlxcmTZqE9PR0DB06FB4eHmjQoAFiY2MNairu+1/w2jt37kSjRo3g7u6OLl264Pr16/rzatasCUEQ9F1YBd9n6lo6ISEhEAQBgwcPxhtvvAFPT0/UqVMHf/zxB44cOYKgoCB4eXkhLCxM9s/SokWLcPjwYVy4cAFly5bV329BLi75PfS6X9IZGRlYvXp1oX9e4uLicPPmTYSEhMiqpaDifg6erO+ff/7BwYMHAQArV65Edna2yfrWr18PAFixYgXi4uJw9uxZ3L9/Hxs2bCj0fswh92uns2jRIhw8eFD/KCwg//e//0Vqamqxdbz44osG19u0aZP+mJOTE7p27QrA+HtPZIrksNOpUyd06tQJQP6/zHXPO3XqhJYtW+LUqVPw8vLSrFBH16lTJ3h4eGDZsmUQRVH/F1FoaKjRucuXL8fAgQNx7Ngx+Pn5wdXVFb///juCg4Nx6tQpAMCRI0cwdOhQXL16FWXLlsX+/fsxZcoUo2vNmDEDY8eOxenTp1GvXj1kZ2djxYoV6NatG/Ly8hTdS5MmTXD+/HnVWkDS0tIwfPhwPPPMM/j0008LPW/Tpk1IT09HuXLlsHLlSgDAsWPHEB8fX+T1//zzTwD5+7+5uroaHPvrr7+QmJgIJycnREVFwc3NDSkpKdi5c6fJa73xxhu4e/cusrKysG3bNrRp0waffPIJypYti6SkJLz11ls4ffq00fsGDhwIJycnpKWl4YsvvkCLFi3w+++/w9XVFfHx8Rg0aBCys7MBSPv+F9SzZ09kZ2cjMzMTu3btwrvvvlvk10OO6OhorFu3Dm5ubkhISED//v3x4osvIjMzE+np6di0aRM+++wzRdd2cir8r69y5cohODgYv//+Oy5duoSffvoJ9+/fN/nnBYDJVgg55P4c6OpYunQpRFHEt99+C09PT/3fsQXp/pxt3LgRu3fvRmpqKkqXLo2wsDBNFnGV+7WTo0mTJrh37x6+/PJLs6/17LPPAgD27dtn9rWo5JMcdmJiYhAbGwtBEJCamoqYmBj9Q/cvRlP/6iV1eHp6YtCgQbh06RLWrVuHdevWoX79+ggODjY6d/r06QCAl19+GYmJiUhMTIS/vz8yMjIwZ84cAMBXX30FURRRq1Yt/TktW7Y0uM7Dhw/x+eefA8j/l+epU6dw7tw5lClTBocOHcKvv/6q6F6mTp0KZ2dnfPLJJ8U2w0+fPl3faiAIglELBgC8/fbbuHHjBlavXo3SpUsXei1duAoLC0NQUBCCgoIMXi/MhQsXAMDk3m+69wYHB6NBgwbo3r17kdccPnw4zp49i/DwcADA2bNnsWvXLsTHx6NMmTIQRRF79+41et+3336L8+fPo0aNGgCAu3fv4ty5c9iwYQMA4MaNG7h48SIAad//gr766iucPXtWv+2LmoPMy5Urh/PnzyM6OhoAcOfOHfTp0wdnz57Vby8j9/PGjRuH5557DnXq1MGjR48AmO5eHDt2rD5ILF26FM7Ozpp1x8n9OQgJCcEzzzyDn376CT/99BMuXbqEQYMGwcPDw+jc1157DQDwyy+/oHPnzihfvjzatGmDdevWaXIvgLKvXceOHQ3+rJr6vr7zzjvw8vLCl19+WWyL3nfffWdwvWHDhhkc1/151P3cExVFctgZOnQohgwZAlEU4evri6FDh+ofY8eOxddff43vvvtOy1od3tixYwEAo0aNQkZGBsaMGWN0TkpKir4bol+/fhAEAV5eXujWrRsA4OjRowDyW+cA4Pnnn4enpyecnZ3Ru3dvg2udOXMGGRkZAPJ/SQuCgMqVK+tfe7JbTKqnn34aAwcOREJCQrE/M1WrVjXot/f09DQ4vmvXLqxYsQJTpkxB8+bNC71OSkoK/vjjDwD/+8Wo+++aNWuKnH324MEDADD6RZSdna3/Jf7kNTdv3oz09HSja/Xo0QNA/oa6AFChQgW0bNkSZcuWha+vr75WU+8TBEHfAtGuXTt4eXmhZs2aBvco9ftfUP/+/QHkj7kAgFu3bhX6tZBLV6fufnX3AkBfu6n7LUp8fDyOHDkCJycntGnTBhs2bEDPnj2NzgsLC0OlSpXwzTff4ODBg+jZsyeqVq2q/GYKoeTnAADGjBmDjIwMjB49GsD//nw/6fPPP8fq1avRpUsXlClTBnl5eThw4ABeffVVfbes2pR87Z4cs2Oqpb9ChQp488038eDBA/z3v/8t8npPjtl5cpV+3d8Fuj+fREWRNPUcgH6syKVLl9CwYUMsXLhQs6LItKCgILRs2RKHDh1CmTJlMGTIEKxZs0bSe3W/zJ9cNqCoZQQKBoCgoCC4ubkZHK9QoYLU0o1MmzYNa9euxcyZM4ts3Rk5cqTBlOeQkBCD1h1dt8ycOXPwxRdfGNTcr18/DB06FEuWLMHatWv1n9O3b18IgqB/fuXKFfz5559o3769yRp0f2mnpaUZvL59+3bcuXMHQP6/WN977z19l8OjR4+wadMmo81xdX9B68ZFFAxvuu+FqeBV2PsKfv+KCmyFff8BwNvb2+DaRV2n4Ptzc3Ph7Oxc5PiLJ+s2VXtRn2fKnj17JI2tcXV1xfDhwzF79mwAhYcJcyn5OQDy/wH54YcfIi0tDa1atUKTJk0K/Yzw8HCEh4cjOzsbu3fvRv/+/XH//n1s3brV6B8palDytVu0aJGk78s777yDBQsW4Ouvv9YHfFNefPFFREZGFnpc9+eRwydICtkDlGNiYrBw4UJkZWXhxo0buHr1qsGDtKVrzXn11VdNzhypVKmS/l//0dHREEURqamp+O233wDk72MGAA0aNAAA7Ny5E+np6cjLyzOaDdKwYUN9t9CQIUP0AwX/+usvTJ8+3eS/pqWqXbs2Bg8ejMuXL6vyL7NHjx7h4cOH+m4NAMjMzERmZiYAw+6E1NRUPHjwAA8fPtS/VlRXVt26dQHA6Oe74HvS09Px4MEDg0BkjVlZUr//ShX85ZSQkABRFLFt2zazrqml0aNHQxAE1KpVSz+gVW1Kfw7Kly+Pfv36ASg6TEyaNAknTpwAAJQqVQohISHw8fEBAKOWTjVp9bXz9vbG22+/jbS0NCQmJiq+ju7Po+7PJ1FRZIed+/fv4+WXX4anpyf8/f1Rq1Yt/aOorSRIHUOGDMGtW7ewePHiQs+ZNm0agPwBuQEBAQgICMDVq1dRpkwZTJo0CQDw5ptvAgASExMREBCAWrVqGQ30c3d315//zjvvoHbt2ggMDIS3tze6detW5GraUkydOtXs2SRvvfWWfoagKIq4dOmS/tgvv/yCyMhInD9/Hn///TcAYOvWrQbn6wY0R0dH4/HjxyY/Q9fic+bMGf05qamp2Lp1KwDgm2++MbimrrVt165d+Pfff826PyWkfP+Veu655/QzoLp06YLmzZvruwdtUUBAAG7fvo2TJ08W2YoZEhKCOnXq6MehHTp0CHXq1Cm2pcLcn4OlS5fi1q1b+jFcpqxcuRJNmzZF+fLlERQUhKpVqyIhIQFOTk7o06dPkfWZQ+rXTmfcuHFo1aqV/vHJJ58Ueu5bb71VbMvwtm3bDK7XqlUrg+O6P9OFtcgSFSQ77Lz33nvYsmULcnJyDP5gFzYlndTl7OyMihUrFjkQd+TIkfjhhx/QrFkzJCcnIysrC88//zxiY2PRqFEjAPm/tFatWoXq1asjLS0NQUFBJv9ymj59OpYsWYImTZrgxo0buH79OurWrYvJkycjMDDQrHupVauWfsVmLen+Ze3h4YEuXboYHNPNMLl3716hLRQNGzZEo0aNkJWVhV27dgHInw6sazV6cpZKjx494OLiImsdHzVJ+f4rVbFiRXz//ff6X4T+/v5F/lKzBRUqVCi2BeTy5ctISEjQt/ZlZmYiISGh2EBv7s9B6dKlUbFixSJnVc2cORM9evSAl5cXzp07ByB/LNSWLVvQrl27IusDoL8nU4OfiyPla6cTHx+PQ4cO6R9F7ZPo5eWFiRMnFnm927dvG1zv0KFD+mN5eXn61kpTg9OJjMhdhdDPz090dnYWV65cKQqCIDZs2FCcO3eu6OPjI/74449yL0dkF3QrKIeHh1u7FCJJsrOzxbi4OP2KxM2aNbN2Sar5/fffRQBiq1atrF0K2QlBFOU1x7i6uuLpp5/GqVOn4OTkhBYtWuDQoUMIDAxEjRo1bLr/nkipx48f4+mnn0ZSUpJD7Y1lKcnJyXj55ZdNHhs5cqRVV3A+duwYxo0bZ/LY1KlT8eKLL1q4IkPbtm0rtHWtYGvImjVrMHDgQEuVpSnujUVySZ6NpVOwSdPLywtnz57F7t27ce3aNYPxEkQliaurK3++NZSVlWXwi7kg3bR5a0lNTS20NjWn6St169atQutzc3PD008/jfHjx5eYoANAP06KSCrZLTvNmzfH+fPncefOHXTp0gV//fWX/lidOnX0fcpEREREtkD2AOUJEyYgPDwcV69exWeffQYPDw+IoogyZcpg7ty5WtRIREREpJjslp0npaen49y5cwgICDBrx2AiIiIiLcgOOy1atEB4eDj69++Pp556Squ6iIiIiFQhO+w4OTlBEAQ4OTmhc+fOCA8Px8svvwx3d3etaiQiIiJSTHbY+fjjj7FhwwbEx8fnX0AQUKZMGfTq1QuDBg2y+jRMIiIiooIUj9k5e/Ys1q1bhw0bNug3Y3RycipyU0ciIiIiS5O9zo7OM888gz59+iAvLw8pKSm4efMmt4sgIiIimyM77Jw8eRLr16/H+vXrcf78eQCAKIrw8vLSdFM6IiIiIiUUD1AWRRGurq7o1q0bwsPD0bNnT7i5uWlVJxEREZEi/wdNZqmOhD0EsQAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saving scatter density plot to /wrk/charkins/melodies_monet/aircraft/develop_sumvars/output/plot_grp4.scatter_density.Ammonium_PM1_AMS_JIMENEZ.2019-09-05_12.2019-09-06_00.all.CONUS_firexaq_vs_wrfchem_v4.2.png...\n",
+      "Value of fill after reading from scatter_density_config: True\n",
+      "Processing scatter density plot for model 'wrfchem_v4.2' and observation 'firexaq'...\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saving scatter density plot to /wrk/charkins/melodies_monet/aircraft/develop_sumvars/output/plot_grp4.scatter_density.Nitrate_PM1_AMS_JIMENEZ.2019-09-05_12.2019-09-06_00.all.CONUS_firexaq_vs_wrfchem_v4.2.png...\n",
+      "Value of fill after reading from scatter_density_config: True\n",
+      "Processing scatter density plot for model 'wrfchem_v4.2' and observation 'firexaq'...\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saving scatter density plot to /wrk/charkins/melodies_monet/aircraft/develop_sumvars/output/plot_grp4.scatter_density.BC_mass_90_550_nm_SCHWARZ.2019-09-05_12.2019-09-06_00.all.CONUS_firexaq_vs_wrfchem_v4.2.png...\n",
+      "Warning: ty_scale not specified for OA_PM1_AMS_JIMENEZ, so default used.\n",
+      "Reference std: 6.42159777341964\n",
+      "Warning: ty_scale not specified for Sulfate_PM1_AMS_JIMENEZ, so default used.\n",
+      "Reference std: 0.9375688589149742\n",
+      "Warning: ty_scale not specified for Ammonium_PM1_AMS_JIMENEZ, so default used.\n",
+      "Reference std: 0.4483533176345893\n",
+      "Warning: ty_scale not specified for Nitrate_PM1_AMS_JIMENEZ, so default used.\n",
+      "Reference std: 0.5552247560331568\n",
+      "Warning: ty_scale not specified for BC_mass_90_550_nm_SCHWARZ, so default used.\n",
+      "Reference std: 119.86855744884247\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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Bfv31V9q1a8eUKVPw9PREo9EwZcoU5s+fT9OmTalVq1amgbLZbCY5ORkXFxfR7k4QBEEQhBxhlxP3CiuTycTs2bNZs2YNnp6eeHp68uDBAxo1asTEiRPx8fEB4IMPPuDgwYMsX76cYsWKKddPSUnBarXi7e1N7969iY+PZ8WKFcqCP3v1xhtvcPjwYbZs2WIzUfDevXu0bduWd999lyFDhqQLkK1WK2q1mt9++43du3fz8OFDkpKSKF26NK1bt6ZDhw4FptxEEARBEAT7YreZ5MLIxcWFoUOH0qhRI86ePUtycjKVK1dWykvkTOqJEyd4+PChsshPDha/++474uPjKVasGLdv38bPz49Dhw5RtGhRQkJCKFGihN2VLGi1Wo4fP07NmjUpXrw4VqsVlUqFSqXC29sbFxcXLly4kOF+q9WpJfXXr19HkiQaNGiAt7c3V65cYebMmVy+fJn33ntPZJcFQRAEQXhiIki2M97e3jRs2JCGDRsq2+TgWA4Uf//9dyIjI5UMcdpg8ezZsyQmJmIymUhKSuL999/H2dmZ7t27M2HCBKUcw17cuXMHnU6nPN60JRUPHjyw6XltsViUOu20Ro8erQTCZrOZ+Ph4Vq9ezaxZs/D19WXs2LF59GgEQRAEQXAU9hUxPQWr1crWrVu5d+8e3t7eqNVq1Go1KpUq3c9OTk64urri4uKS5Ze7uzvu7u54eHhkGJTltUezqMHBwRmWUCxYsED52WAwEBMTw4MHD7h//z5+fn52FyADnD9/HkBpyydPDVSpVERFRZGcnJzhgJW0vL29lQDa2dmZkJAQBg4cyLJly9ixYwdjx44VC/8EQRAEQXgi9hc1PSG9Xs/EiROJjY1VMqrZmUiXXa6urnh4eChBs/zdw8MDb29vmy8fH5902/z8/PDz88PX1zfTUdm5wc3NjWLFitnULNsjOUguV64cYDta+/bt21itViWAzuqART5PLj158OABgYGB+Pn5YTAYlNIUQRAEQRCE7CjwQbKnpycffPAB//vf//j666/p2rUrkJp1tFqtWK1W5Wez2YzJZMryy2g0otfr0ev1pKSkoNfr0el0Nqf1er0yBS86OhqNRmPzldW+BgQEKIGzv7+/8j0oKIigoCACAwMJDg4mKCgIf39/JfB3VBqNBjc3N/z8/ABsykrkYTJ169ZVzsuuXbt2ceXKFYYPHy4CZEEQBEEQnliBD5Izo1KpcHJyyvNyCavVSkpKChqNhuTkZJKSkkhISCAxMZHExEQSEhJsTt++fZv4+HhiY2MxGAw2t6VWqwkMDFQC5+DgYMLCwggNDbX5HhwcnKdZ6pxUunRpjEYj165do2bNmkpZRGxsLAcPHqRq1aoEBQVl+/bUajWLFi1ixowZVKxYkV69euXi3guCIAiC4KgcNkjOL2q1Wim1CA8Pz/b1JElCq9USGxtLbGwscXFxxMTEKKdjYmK4d+8eJ0+eJCoqCpPJZHP9oKAgJWguUqQIRYsWtfkKCQmxi/rqR5UtWxZJkti4cSM1a9ZUssXLli0jLi6OESNGAP+VUWQlISGBL774gj///JPGjRszefJkQkNDc/0xCIIgCILgeESQbCfklmfe3t6ULFkyy8uuWbOG8ePHs2jRIkwmE9HR0URHRxMVFUVUVBQnT55k8+bNNiOdnZ2dCQsLo1ixYhQtWpRixYpRokQJIiIiKFGiBCEhIfmysK1Zs2a8+OKLbNy4EZVKRdWqVfnrr7/YuXMnL774Ip07dwYyDpLTdrvYsWMHX375JQkJCYwZM4ZBgwbh4eGR549HEARBEATHIILkAkaSJB4+fIharaZevXpZZoc1Gg3379/n/v373Lt3T+l0cevWLQ4ePMjDhw+Vy3p4eFC8eHGKFy9OiRIllO+lSpWiaNGiuZaFdnV15a233sLd3Z3Nmzezdu1aIiIiGDFiBAMHDlQmBi5dupTTp08zduxYihcvrgTIkZGRzJ07l1WrVvHcc8/x9ddf06BBA+V3JTpaCIIgCILwNESQXMBYrVZiY2MJCgp6bODq7e1NhQoVqFChQobnp6SkcPfuXW7fvq18v337Nrt37+bevXtKSYerqyslS5akdOnSyleJEiUoU6YMAQEBz/yYihQpwocffsiHH35IQkICOp2OIkWKAP8FuosXLyYyMpJRo0YBqd0s/vrrLxYsWMClS5cYPnw4r7zyirIAEJ5soZ8gCIIgCEJaDhEky4FaTgRs9k4OknOi1tbT0zPTINpisfDgwQNu3rzJjRs3lK8NGzbw4MED5XIBAQGULVuWcuXKUb58eeX7kyy2S8vf3x9/f/90A1QmT57MqVOnKFWqlHLZjz/+mMTERMqXL09gYCDnz58nJCSEgIAAvLy8cHd3f6p9yA9nz55Fr9dTq1Ytu+xnLQiCIAiFjUrKbEJDAXLu3Dl69uzJ2rVrqVq1an7vTq7S6/UMHToUDw8Pm+EheeHatWvs2LGDu3fvotfrKV26NJIkce3aNa5cucKNGzeU7HNAQIBN0CwH43L5xNOSg2eLxcLu3bs5ceIEhw8f5urVq5jNZgICAihZsiRVq1Zl0KBBj63vzm/nz59n/vz5/PPPP6SkpGA2m+nUqRPDhw+nePHi+b17giAIglBoiZRVAWOxWIiNjaVOnTp5dp/3799n586dXL9+HScnJ5o0aULTpk3x9PS0uZzZbObWrVtcvXqVK1eucOXKFf7++29WrlyJ2WwGoFixYlSsWJFKlSpRuXJlKlWqRERERLb7QcuZZScnJ9q0aUObNm2U827cuMHJkyc5dOgQly5dIioqyq6D5OjoaD799FMuXbpE//79qVevHrdv32bJkiW4u7vz2WefZTqKWxAEQRCE3CWC5ALGarXy9ddfExISkuv3FRcXx65duzh37hwANWvWpEWLFvj7+2d4eWdnZ8qWLUvZsmVp3769st1oNHLz5k0uXrzIxYsXuXTpEitWrCA2NhZILfuQA+eqVatStWpVypcvj4uLyxPtr1wvXVB6I8+dO5ezZ8/y5Zdf0qdPH2V7TEwMv/zyC126dMnTgyFBEARBEP4jguQCxmKxEBoamqtBskajYe/evZw8eRKr1UqFChVo1aoVYWFhT3V7rq6uSrmFPBER4OHDh0rgfPHiRY4dO8aKFSuwWq24urpSsWJFqlWrRtWqValevTply5Z94sDZXiUkJLBhwwaqVatGnz59sFgsqNVqVCoVvXr1YuHChdy+fTvLINlsNqPRaDI9aBEEQRAE4emJILmAsVqtufbxu8Fg4NChQxw+fBiTyURERARt2rTJtZKFkJAQQkJCaNq0qbItJSWFixcvcvbsWc6dO8exY8dYvnw5kiTh6upK5cqVqVatGjVq1KBWrVqULFmyQHaxOHDgADqdjhdffFHZJtdby/2t7927l+VtnDlzhl9++YXo6Ggle9+sWbNc3W9BEARBKCxEkFzAWCyWHM+mms1mTpw4wb59+0hJSSE4OJjWrVtTsWLFPA9APT09qVOnjk0Gdd68eXz33XeMGTOGCxcucPDgQX799VcgtRtGzZo1laC5Ro0az7w4MC+sWLECLy8vWrRoAaROapTX0F66dAlA6RCSUV2yfFm5Q8mVK1cYO3YsxYoV45133qF169Z59EgEQRAe459/4MMPYfJkqFUrv/dGELJNBMkFTE5mkiVJ4uzZs+zatYuEhAR8fHzo0qULtWrVyvZCurxw5coVypUrx5AhQ5RtiYmJnD59mn///Zd//vmHJUuWMGfOHADKlClDrVq1lGC7TJkydpVtTklJ4dKlS5QvX56QkJB07e6uXLkCoAxFyehvoVKpqF27NrVr1yYlJYWEhAQuX77Mzz//zNSpUwkPD3f4Ti+CIBQQa9bA1q3w/PMiSBYKFBEkFyCSJCm1q896O9euXWPnzp1ERkbi5uZG69atqV+/vt3V/EqSxIULF9LV5vr5+dG0aVOlVEOSJG7evMm///6rBM7r1q3DarXi7+/Pc889p3xVqVIFV1fX/Hg4QGq3EK1WqzwmOVOsUql48OABp06dIjw8XOkJnVmAL1/P09MTT09PihYtiru7O6+//jp//PEHVatWzXCctyAIQp7auPG/7198kb/7Aty5c4dJkyZx6tQpEhISaN26NTt37mTEiBGMHDkyv3dPsCMiSC5ArFYrwDNlku/fv8+OHTu4ceMGTk5ONGrUiCZNmuDh4ZFTu5mjEhMTuXXrFq+88kqWl1OpVEp3i+7duwOpCxD//fdfTpw4wYkTJ5gzZw46nQ43Nzdq1qxJnTp1qFu3LnXq1MHLyysPHk0qSZKQJEkZCKNWq7FYLDg7O3P06FHOnz+vPN6sWsA5OTmh0+ls/nZBQUH4+vpitVoxGo35ejAgCIJAVBT8+2/qz//8A9HRkAPDsJ7FBx98wNWrVxk6dChBQUGULVuWnTt35us+CfZJBMkFiBwkP01mUKPRsHPnTv755x9UKhW1atWiRYsWNmOc7dHZs2exWq3UrFnzia/r7e1N48aNady4MQAmk4kLFy5w8uRJTpw4wcqVK1mwYAHOzs5Ur16devXqUa9ePerUqZOuB3RO8vDwwM3NjbNnzwKpf0/5b7p8+XI8PDyUNnZZlYk8ePCASZMmcfv2bTp16oS3tze///47cXFx1KtXTwTIgiDkv23b0p8eODB/9oXUBeonTpzg5ZdfVkr4JEni9OnToie9kI4IkgsQi8UCPFkm2Ww2c+TIEfbv34/RaKRMmTK0b98+R8Za54VLly7h6upK+fLln/m2XFxcqFGjBjVq1ODVV19FkiSuX7/O0aNH+fvvv1m9ejXff/+9EjTXr19fCZpzMtMeGhpK+/bt2bFjB9u2baNevXoYjUbWrFnDP//8w+DBg5VR4VkdEAUEBNCvXz/Wrl3Lzz//jF6vp27duvTt25cOHTrk2P4KgiA8tc2bwckJLBZwdk49nY9BcmxsLJIk2SSIVCoVbm5uj72uJEno9Xq7/eRVyHliLHUBotVqSUxMpEiRIo9diCZJEpcuXWL79u3Ex8cTGBhIu3btqFChgl0tYnuchw8fotVqlfrc3CQHzUeOHOHvv//m77//Ji4uDhcXF2rXrk2jRo1o3LgxVatWfeaMw9WrV/nss8+4fPky1atX5969e9y6dYu+ffsyevRoAgMDlQV9j6PRaDhy5Ahz5sxh8ODBSrmJIAhCnrh3L7Ws4lGSBK1awf+3tQTA1xd27YKMXtvCwqBYsVzbzQ8++IA//vgj3fadO3fSunVrm5rko0ePMmjQIL766is0Gg2///47d+/e5b333uPVV1/FarXy66+/snr1am7cuKG8T4waNYrq1asDkJycTLdu3bBaraxfv94mMB8/fjxr165l4cKFNGrUCIDNmzezceNGLly4QGxsLL6+vjRo0IAxY8ZQvHhxm322Wq38+OOPrFixgocPH1KqVCneeOMNbt26xXfffcfOnTuJiIjIrV9loSEyyQWI3NnicYFTVFQU27Zt48aNG7i6utKmTRvq16+Ps3PB+nNLkoTJZMqT6YKQmk2QJwYOGDBAWeB4+PBhDh06xI8//sjMmTOVFy45aC5evPgTH3iUK1eOn3/+ma1bt7J3716KFy/O+PHjqV+/Pu7u7gDs2LEDrVZL27ZtbWqm5ZpmOcvs7e1NmzZtuHXrFitWrKB169b4+Pjk3C9GEAQhK337wqFDGZ/36GtjcjLUrZvxZRs3hgMHcnbf0njxxRepVKkSkydPpm3btrRt2xYAnU6X6XUWL16MRqOhd+/eBAYGKgmb9957jy1btvDCCy/Qt29fUlJSWL16NQMGDGDZsmXUqFEDHx8fpk2bxssvv8zHH3+sdGD6888/WbNmDa+//roSIAP89ttvBAUFMWDAAPz9/bl69SqrVq3i6NGjbNy4kcDAQOWykydPZsmSJdSrV49XX32V2NhYvvjii3TBtPCMJAdw9uxZqUKFCtLZs2fze1dyVXx8vBQdHZ3p+VqtVtq0aZP0+eefSxMmTJDWr18vJScn5+Ee5iyDwSDdu3dPMhqN+b0rkiRJktFolE6cOCHNmTNH6t+/v1SlShWpQoUKUsuWLaWPP/5Y2rZt2zP/vi0Wi/JzrVq1pIoVK0r3799XtiUmJtpc3mq1SjqdTpIkSfrtt9+kihUrSmfOnHmmfRAEQXgiP/4oSc7OkqRSSVJq/vjJvlSq1Ov/9FOu7+qdO3ekChUqSLNnz85y25EjR6QKFSpI9erVk2JjY21uY+vWrVKFChWkNWvW2GxPTk6WWrRoIQ0YMMBm+3fffSdVqFBBWr58uXT37l2pbt26Us+ePdO9t6WkpKTb38OHD0sVKlSQvv/+e2XbtWvXpIoVK0qDBw+WzGazsv3s2bNSxYoVpQoVKkh37tx5gt+KkJmClVos5DLrkWyxWDh27Bh79+5Fr9dTokQJOnToQJEiRfJhL3OO0WhEpVLZTQbcxcVF6b08YsQINBoNx44d4+DBgxw8eJCVK1fi7OxMnTp1aNq0Kc2aNXvigSxydliv19O7d28uXryo/B0tFgtjxozhueeeo1u3bhQrVgyVSqVknvfu3Yubmxt6vR4g2+UagiAIz+T116FaNejaFeLjwWzO/nWdnCAoCNavh//vDW9PunfvbpPBBdi4cSO+vr60aNGCuLg4m/MaNWrEH3/8gV6vV16bhw0bxpEjR5g8eTKlSpXCbDYzffr0dC1X5VpnSZLQarUYjUYqVKiAr68vp0+fVi63c+dOJEli8ODBNjFB1apVady4MQdyMRtf2NhH9CFkS0bT9q5evcq2bduIiYnBz8+Pzp07U6VKFYcIjkwmEy4uLnb7WLy9vWnZsiUtW7YE4O7du+zbt499+/Yxb948vv32W8LCwpSAuVGjRtkug3B3d+ejjz6y2ZaSkkLZsmVZtWoV586do3Xr1oSHh6NSqdi/fz/79u2jWbNmVK5cGci6M4YgCEKOatAgtdVbjx5w7Bj8fzemLKlUqQNG/vgDwsNzfx+fQokSJdJtu379OklJSTRs2DDT68XHxysJDrVazTfffEO7du24cOECkyZNomTJkumuc+bMGWbNmsXx48fTlYAkpanrvnPnDpA6OOtRZcuWFUFyDhJBcgGSNpMcExPD9u3buXLlCi4uLrRo0YJGjRrZ3TCQZ2EymbK14theRERE8NJLL/HSSy9hNBo5fvy4EjSvXr0aJycnnnvuOVq3bk3Lli0zfJHMio+PD++88w6VKlVi+fLlfPzxx/j4+KBSqUhISKBu3br873//y9Oez4IgCIoiRWDfPnjtNVi27PGXHzAAfv4Z7LhdZUadLCRJIiQkhKlTp2Z6vUezz4cOHcJgMABw8eLFdJe/d+8eAwcOxN/fn5EjR1KyZEk8PDxQqVSMGTMGKYMeCxklQjK6nPD0RJBsR7L6eFz6/2l7RqORbdu28ffff2O1WqlevTpt2rTB19c3j/c2d1mtVsxmM97e3vm9K0/F1dWVRo0a0ahRIz744AMly7xnzx6+/fZbJk+eTJkyZWjVqhUtW7akdu3a2eqY4e3tTc+ePenZsyfx8fEcOXKE+Ph4ateuTUREBD4+PqLMQhCE/OPqCqVK/df2LTNOTlC6tF0HyJkpWbIk+/fvp06dOkpJRVZu3brFl19+Se3atSlTpgxLly6ladOmNG/eXLnMjh070Ol0fP/999SvX1/ZrtfrbbLIgLI479q1axQtWtTmvOvXrz/LQxMeIYLkfHLq1CmMRiPu7u6UKlUKPz+/LAMbq9WKRqNh2bJl6HQ6ihYtSocOHRx2JavJZAJwmMx42ixzSkoKhw4dYteuXfzxxx/89NNP+Pv707x5c1q1akWTJk2ydXAQEBBAx44d020XAbIgCPlq48asA2RIPd9OxlQ/qa5du7J7925mzZrFuHHj0p0fGxtLUFAQkPpe9u677+Lk5MS0adMICgri1KlTfPDBB2zYsEHp3iQnSR7NBP/000/KIDFZq1at+Pbbb/nll19o1KiRct1z585xKLMuI8JTEUFyHnvw4AFr165Fq9WiVqvRarV4enrStm1batasmWmAY7FY8PLyokyZMpQvX54aNWo4dDBkMpnsatFeTvL09KRNmza0adMGq9XK6dOn2bVrF7t372b9+vVKFrpdu3a0atWKgICA/N5lQRCE7Ek7hlqmUqX2sZC/y+xkTPWT6tSpE3v37mXhwoWcPXuWpk2b4ufnx4MHDzh69CjOzs4sXboUgFmzZnHmzBm+/fZbpW/x9OnT6du3Lx988AE//fQTKpWKZs2a4e7uzrhx4xgwYABeXl4cPXqUs2fP4u/vb3P/cpvSZcuW8eqrr9KuXTtiYmL49ddfqVSpEufPn8/rX4nDcrwIxI4ZDAa2bNmCh4cHL7zwAiEhIURGRrJ37142bdqE2WymZs2auLi4pPvI3Gq1olKp6NGjR6EYnWnvi/ZyilqtplatWtSqVYuxY8dy584dtm/fztq1axk/fjxOTk48//zztGvXjjZt2hAWFpbfuywIgpC5R8dQOzmBjw+88w7Mnp3aJzltljmfx1Q/rSlTplCvXj1WrVrF/PnzsVqthIaGUqNGDWWg05EjR/j555/p0aMHnTt3Vq5buXJl3n33XSZPnswvv/zCkCFDKFGiBN9//z0zZ85k/vz5uLq60qBBA5YuXcrADH4/H330EcHBwaxcuZKvv/6aUqVK8emnn3Lr1i0RJOcgMXEvD127do1ly5bRuXNnnnvuOWV7dHQ0f/75J7GxsXTo0CHDx/Ak0/YcQVRUFO7u7jYTigoLjUbD119/zY4dO3jnnXfYsWMHR44cUQ6i2rZtS/v27TNcdV1QiLppQXBQ/frBqlX/dUHu0QMWLEjNFkdHw1tvpXazUKlSv/r2hd9/z++9dhhz5swRE/dykDq/d6AwkVu6yE9cy/8fTYeGhtKhQwdMJhPHjh0jJiYGsK1Nyu60PUdgtVozbHdXWOh0Og4ePEjbtm3p378/P//8M4cOHWLq1KmEhoby3Xff0bZtW3r27MmPP/7I3bt383uXn5hKpSIyMpJdu3axfPlypaWRIAgFmNkMW7aktn/z84MVK2Dt2v/KKUJDU0+vWJF6vtUKf/75+PplQcgnIkjOQ/JitKtXrwLYlE2Eh4fTrFkzbt26xdWrV5XyCpnFYlEGTTg6+ffkWgBXPT8ri8XCpUuXuHfvHq1bt1a2+/n50a1bN7777jsOHz7MzJkziYiIYM6cObRu3Zo+ffqwcOFC7t+/n497n32bN2/mpZde4p133mHOnDl06NCB0aNHF5j9FwQhAzodlCmTmj2+dCk1S5yRvn1Tz+/RA8qWhZSUvN1PQcimwhF15aGEhAQOHz7Mv//+y927d5VsMUClSpVwdXXl9u3bJCYmArbZ4tq1axMWFsb58+cxGo02t5vZtD1HZDQaUavVhebxpqXX6zlw4ABeXl6ZNqr39PSkY8eOzJ49m8OHDzN9+nTCwsKYMWMGLVu2pF+/fixatIioqKg83vvs2bJlC5988gmenp5MnjyZ+fPnM2HCBE6fPq0sdnGAKjBBKHx8fOD4cdvscWbkrPKxY6nXEwQ7JBbu5aD9+/ezf/9+3N3d0Wq1WK1WqlatSvv27fHx8cHd3Z2aNWty6tQpbt++TbVq1VCpVEp9ppubG9WrV2fHjh0kJCQQHh6unFeYyg8Ky6K9jOj1eg4ePEjz5s2zlUn38vLihRde4IUXXkCj0bBr1y62bNnCtGnTlIUlXbp0oX379nbRS1uj0TBt2jQ8PT2ZNWsWZcuWBaBGjRqcPn2a33//nV69elGuXLl83lNBEJ7KkyY3CmEyJDeNHDmSkSNH5vduOAyRSc4hZ8+e5eDBgzRs2JB+/foxatQo6tWrx4ULF1i5ciUpKSmoVCpq1KiBp6cnx48fJzo6GkAJlNVqtdJb8eHDh8p5kPoxfGHJrMpBcmFjtVpJSEggJSWFtm3bPvH1vb296dq1K/Pnz+fQoUNMmjQJtVrNJ598QuPGjRk5ciTbt29Xpj7lhzVr1nDv3j2GDh1K2bJlMZvNmM1mILX3p8FgIEV89CoIgiDYAZFJzgGSJHH27Fk8PT2pX78+np6eALRr1w4vLy/27t3Lzp07ad++PeHh4dSvX58dO3Zw7Ngxpb+iTA4O0w6TkCSp0JRbWCyWQpU1T8tgMODh4cG2bdueuf7c19eXXr160atXL6Kiovjzzz/ZuHEjI0eOxMfHh/bt29O5c2fq1auXZ88rk8nEvHnzKF68OC+++CKQWpcvl1ZcvXoVSZKIi4vLk/0RBEEQhKyIIPkppG1fJUkSBoOBuLg4/Pz8lABZzvzWrl0bjUbDiRMnKFmyJDVq1KBmzZpER0dz4sQJTCYTXbp0wcnJibi4OI4fP06RIkVs+uHK03YKw8I9R5u09yT0ej0uLi45PkAlLCyMwYMHM3jwYK5du8bGjRvZtGkTq1evJjw8nG7dutG9e3fKlCmTo/f7qGPHjpGYmMiAAQNwdXVV/kfk/6UzZ87g4eFByZIlAdEmThAEQchfIkh+Qlar1SZYValUuLu7o1ar0el0JCQk4O/vr2TnfHx8qF27Nrdv3+bIkSOUL18eLy8vOnfujFar5fTp09y6dYugoCAMBgPR0dF06NBBCbbhv1ZxhSGTbDKZCuWiPUmS0Ov12RpH/SzKli3L6NGjGTVqFP/88w/r16/n999/5/vvv6dWrVp0796dTp065Up/6nXr1gHQo0cPIPV/R/5/Onv2LP/++y9lypShdOnSyvmZSft/GBUVhV6vV4JrQRAEQcgJjp+azEGnT59mzZo1LF++nOXLl3P9+nUly1uxYkViYmKUHsfw3wr90NBQatasyYMHD7hy5QoAzs7O9OjRgz59+hAcHAyAv78/Q4cOpU6dOjb3W9gyyYVx0Z7BYECSJNzd3fPk/lQqFbVr12bChAkcOHCAGTNm4OfnxxdffEGTJk0YPXo0e/fuVeqFn5XJZCImJoaKFStSvHhxJciVn9N79+4lKiqKAQMGANh0hcmIfL3FixczaNAg2rdvz9SpU9Hr9Tmyv4IgCIIgMsnZkJSUxIYNG7h//z5BQUFYLBYePHjAzZs36datG5UrV6ZEiRIcP36co0ePUqZMGdRqtbIgz8nJiVKlSuHj48M///xDjRo1gNRWXlWqVKFKlSqYzeZMP2aXAwZHD5IlScJoNNpk0QsLvV6Ps7NzjpdaZIebmxudOnWiU6dOREdHs3HjRtatW8ebb75JSEgI3bp1o3fv3kqG92m4uLgQHx+Pk5MTer0ed3d3jEYjrq6uXL58mU2bNhEUFETPnj2BjD81SZs9vn37NgsWLGDDhg3UqlWLW7du5XoWXhAEQShcHDvqygGxsbFs2LABnU5Hly5d6Nu3L2+++Sa9e/fG3d2dY8eOAVCsWDEqVqzI1atX+eeff9LdTpEiRQgMDMRkMmG1WtP1gc0qOCos0/asVitWq7XQDRGRSy3c3d3z/W8cGhrKa6+9xoYNG1i7di0dOnRg1apVdOjQgZdffpl169YpkyOfhMVioUqVKty4cUOZECj/nb///ntu3LjBsGHDADLNXssB8vLlyxk8eDB37txh/PjxlClThpCQEFq0aJFnmXhBEATB8YkgOQuSJHHx4kVu377N888/T6VKlfD5/6bnZcqUoWTJkty4cYP4+Hjc3d2pVasWoaGh7Nq1izt37qSbmqdWq5WFaU8SDBWWaXuFddGefOBkTwGeSqWiatWqfPzxx+zfv59vv/0WJycnxo0bR9OmTfn88885f/58tm/PycmJF198kaCgIKZNm8aBAwfYuXMnEyZMYPPmzfTq1Yu+/z+dK20WOe3B5L1795g4cSJffPEFLVu25Mcff6RMmTJs3bqV1q1bi5pkQRAEIUc5fuT1DFQqFaGhobRv355atWop5ROSJOHh4YGPjw9qtVp5Iy9RogSNGjVCpVKxZcsWLl68CKTWm166dImoqChq1679xAFvYemRLE/aKwwHBGnp9XrUarXdHhy4ubnRuXNnFi9ezF9//cWAAQP466+/6NGjBz179uS3334jOTk5y9uQJIkaNWowduxYLl++zKhRoxg/fjzr1q3jtdde491338XV1TVdRwv5582bNzNo0CCOHDnChAkT+Pjjj5Ekie3bt2M0Gmnfvj1eXl65+nsQBOHpHLgNrZemfndUFy5cYODAgdStW5eKFSuyaNGibF93zpw5VKxYUfmUTbAfoib5McqVK6dkOOU3cDlDrNFocHd3tykPqFKlCs7Ozqxfv55Vq1ZRokQJPDw8uHv3LkFBQVSsWPGJ96GwlCCYTCZcXV3zveQgL9lTqUV2lChRgjFjxjBy5Ej27t3LqlWr+PLLL5k6dSqdO3emf//+VK1aNd315Mcm1z4fOXKEpKQkatasadPu8OzZs4SFhRH6/yNtJUli9erVTJo0ifbt2zN+/Hil88bly5fZs2cPjRs3fqr/K0EQcp8kwdeH4Gpc6vfGxaEAvNQ9EbPZzMiRI7FarYwZMwZvb2+qVauW37tVIFy6dImePXtiNpuZO3cubdq0eex1du7cyfbt2/nnn3+IjIzEz8+PSpUq8dZbb6VrfPCsRJD8GCqVSglQHw1i4uLiCAoKwtPTU8kmu7i4ULVqVXx9fTl37hwPHjxAp9Px/PPP07x586fah8JQbiFJEiaTqdBlA+WJc/YwMvpJODs707p1a1q3bk1UVBSrVq1i5cqVrFq1iho1atC/f386duyIh4dHhtdv0KCB8rO8aDU2NpY+ffpQvHhxNmzYgIeHB4mJiezfvx+9Xo+vr69ywGq1Wjly5AiRkZG89957+Pv758XDFgThCe27DaejUn8+HZV6urmDVUbdvn2bO3fu8OGHHyodeoTHkySJzz77DFdX1yfqpPTpp5/i5eVFmzZtKF26NDExMaxYsYL+/fvz9ddf07179xzbRxEkPwW1Wo3FYiEuLo6qVasqJRdyOYZKpaJ48eIUL14cs9n8TJngwjJtz2KxYLVa7bbkILfo9XpUKhVubm75vStPLSwsjBEjRvDWW2+xZ88efv/9dz788EMmT55Mjx496NevX5aDSuRFqw8ePAAgPDwcDw8PrFYrXl5eDBw4kKJFi7Jp0yZWrFhBhw4daNGiBdu3b6dGjRrUqlXL4Q8iBaEgkiSYdhicVGCRUr9POwzNSjhGNlmr1eLl5UVsbCxAgUt25Lfff/+dixcv8vrrrzNnzpxsX2/atGk0bNjQZlvfvn3p1KkTU6dOpWvXrjn2niDeWZ5SdHQ0KSkpysfCKpWKlJQUbt++TXR0tHI5Z2fnZyqVKCw9kgvror2CVGrxOM7OzrRp04aff/6Zv/76iz59+rB+/Xo6duzIK6+8wvbt27PMFlSrVo2LFy8yd+5cIPUA0cXFheeff55Ro0axcOFCRo8ezYULFxg7diznz5+nTJkyuTL4RBCEZydnkS3/v/7WIv2XTc4P9+7do2LFivzwww8223v27EnFihXZunWrss1qtVKvXj1GjRoFQKtWrRg4cCBnzpzh1VdfpU6dOgwYMICBAwfy8ssvA/Dhhx9SsWJFm/Ivq9XKr7/+Ss+ePalVqxZ16tShZ8+eLF26NN3+GQwGvv76a5o0aUL16tXp06cPJ0+eTHc5q9XK0qVL6datGzVq1OC5557j9ddf58yZMzaXO3r0KBUrVmTt2rUsXbqUdu3aUaNGDXr27Mnx48cBOHLkCP369aNmzZo0a9Ysw/3KisVioUmTJvTr1y/D82fOnEnFihW5fPmyzfbo6GimT5/O8OHDKVq06BPd56MBMkBQUBD16tUjNjZWOWjJCY4deeUCuawiMjISlUql/HHv37/PX3/9xbJly3K0+L6wTNszmUw4OTk5/ONMy2w2YzKZ7KqrRU4pUaIE77//Pvv27eObb77BYDAwcuRI2rZty48//kh8fHym15WzMWmfCx4eHlSoUIEhQ4YwadIkKleujLu7O2vXruW1115Dq9Xm+mMSBCH70maR05KzyY90Qc0TxYoVIyIigiNHjijbkpKSuHDhAmq12mb7hQsXSExMpH79+sq2+/fvM2TIEEqWLMm4cePo06cPb731Fm+99RYAL774IlOnTmXq1KlAarwwevRovvjiCzw9PXn77bd59913qV69Ojt27Ei3f+PGjePcuXO8+eabDBs2jJs3b/LWW2+lWxj93nvv8dVXX1G+fHnGjRvHW2+9xZ07dxgwYACnT59Od7vLli3jt99+o2/fvrzzzjtERkbyxhtv8NdffzFmzBgaNGjA+++/T3BwMBMnTrT5PTyOk5MTXbp04dSpU9y+nf7oZ9OmTVSuXJkKFSrYbJ80aRKhoaEMHjw42/f1OJGRkbi4uChdyHKCKLd4Svfv38fLywuVSsXx48c5cOAAJpOJLl26KMNCckJhyiQXxixyQS+1eBw3Nze6du1K165dOXfuHMuWLWP27NnMmTOHrl278vLLL1OpUqUnus2HDx9y69Yt+vTpw/PPP48kSYWull0Q8tKPJ+GnU6k/z2wPDSP+O+92IvRZnfpz+7LwRYvUn9PWIqeVNpscrU0NmAEmNIeO5f67nMaY2hEDoH4xmN0hZx5L/fr1+fPPP5VhRn///TdWq5UuXbrYBIdHjx5VLi+7e/cuX331Fb169bK5TWdnZxYsWECtWrXo1q2bsn3z5s1s27aNvn378sUXX9h8Yii/t6cVEhLCvHnzlMuVLVuWd955h02bNtG/f38Atm3bxubNm5k8ebIyfAmgf//+dOnShalTp7Js2TKb242Li2Pz5s3K62S5cuUYOnQoo0ePZs2aNcprcKdOnWjevDnLly+3WTfyON26dWPhwoVs2LCBESNGKNtPnDjBnTt3+OCDD2wuv3fvXrZu3cqSJUty7H1///79nD59mhdeeCFHE0+OHXnlAvnJGxMTg5OTE7t372bz5s2ULFmSsWPH5miADIVj2p48aa8wBsmurq4O/bdNq2rVqkyePJm9e/cyfPhw9u3bR7du3Rg4cOBjSzFkRqOR06dPk5KSQvv27Wnbti3t2rXLg70XhMJLY4RITeqX8ZGJ8Vbpv/MS/38qfGZZZJmcTdamuV3dI//+UprbjX/y+UWZql+/PjqdTsm4ylNyu3Tpwo0bN5RyyaNHjxISEkLZsmWV6/r7+9OjR49s39emTZtQq9WMHTs2XUldRq/7AwcOtLmcHKCnzdBu3LgRX19fWrRoQVxcnPJlNBpp1KgRJ0+eRK/X29xu9+7dbRIJcgeIWrVq2SQpAgICKF26dIYZ4axUqlSJChUqsH79epvt69evx8nJic6dOyvbUlJS+Pzzz+natavNAcizuHPnDv/73/8ICgriww8/zJHblBWOd+cnpNfrWbt2LZcuXcrwfJ1OR2JiIgkJCcTGxjJo0CB69OiRK6UCco9kR6hZzYzFYkGSpELR5k5mtVoxGo0OWWrxOIGBgbz11lvs3LmTGTNmKO2T2rRpw08//URSUlKm13V1dWXMmDFs2LBBtH0ThDzi7Qrh3qlfro+8zalV/53n9/8vZ4/WIj9KzibfTfrvuh6PfK6tSnO7ARk3yXkqcoZUzhofPXqUBg0a8Nxzz+Hs7MyRI0ewWCwcP348XRBXvHjxJ0pq3Lp1i/DwcAICArJ1+YiICJvTcteehIQEZdv169dJSkqiYcOG6b5Wr16NxWJJV85WrFgxm9NySVtGtcC+vr4295dd3bp14/bt25w6lfqRg9FoZNu2bTRs2JCQkBDlcnPmzCE5OZlx48Y98X1kJCoqiiFDhmA2m/nhhx9s7isniHKLR9y4cYN169aRlJSEs7Nzhm/EHh4elCpVijp16tCkSZNc3R+r1erwmUaj0QgUrkV78pF+YQySZS4uLnTq1IkOHTqwcOFC1q1bx4wZM5g7dy69e/dm0KBBFC9ePMPrPlrfJghC7nmjTupXRkr4wdHX/jv9aEeLzDip4Oh9ODIk404X3q62t5tTwsLCKFWqFEeOHGHAgAFcvnyZ4cOH4+3tTdWqVTly5AilSpVCo9GkKznIrKVlTsnsvT7t5FFJkggJCVHqnjMSGBhoczqzBF5OJva6dOnCt99+y/r166lduzZ79+4lISHBph3brVu3WLJkCa+//jp6vV5ZvyUH9bGxsdy9e5ewsLBsxQOxsbG8+uqrxMTEsHDhwlzpTS2C5P9nNpvZtWsXhw8fxsXFhS5dulC7du1ML9+5c+c8CV4Lw7Q9edGeox8MpCWXWjj63zY7UlJSOHjwICqVil27dvHbb7+xfPlyli1bRtu2bRk8eHCW/4uCINiPzGqRH5W2Njmv+ybXr1+ftWvXsnfvXuW0/P3PP/+kVKlSNtufVqlSpdizZw/x8fHZziY/TsmSJdm/fz916tSxqyRLWFgYDRs2ZMuWLYwfP54NGzbg6elpMxwkMjISs9nMggULWLBgQbrb+PTTTwH4888/bcpcMhIXF8crr7zCgwcP+PHHH3PtPaLwRCVZiI6O5qeffuLw4cNEREQoU1uyKnHIq4CuMPRIliftFRZWqxWDwWBXL3D5RZIkLl68yOHDh3nllVcICwtjzJgx7N69m08++YRLly7Rr18/+vXrx9atW5UafUEQ7M/japEflV+dLho0aIDJZOKHH36gYsWKSgBbv3597t69y7p16yhSpAglSpR4pvvp0qULVquV6dOn22SDgXSns6tr166YzWZmzZqV4fk52f7sSXXt2pWEhAQ2btzInj17aN++vU32vXz58sydOzfd18CBAwF48803mTt3LuHh4cp1rl27lq5GOiEhgcGDB3Pnzh3mz5/P888/n2uPqVBnkiVJ4tixY/z1119YLBaaN29Os2bN7Cqj6ejT9uRJe4UpYDQYDEiSVKgec2YMBgOrV6/G39+fLl26KNs9PT156aWX6NevH7t37+aXX35h1KhRREREMGTIEHr27JnrH30KgvBksptFluVXNlnOEF+7do1XX31V2V6nTh1cXFy4du1ajkxt69ixI1u3bmXlypXcuHGDFi1a4OnpybVr17h27RqLFi164tvs1KkTe/fuZeHChZw9e5amTZvi5+fHgwcPOHr0KM7Ozk/c6zintGvXjs8//5yvvvoKo9Fo0+kDUstAMho7La9DqVmzZrrzO3XqRLFixdi1a5eybciQIVy8eJHu3bsTHR2dbsFg48aNCQ4OzpHHVGiDZI1Gw4YNG7hy5Qr+/v707Nkz0/rH/FIYpu2ZzWZlaERhodfrcXFxUSbNFWYPHjxg69atDB48OMNWeGq1Whl/febMGRYuXMjEiROZM2cOgwYN4qWXXhIjqQXBDshZZBXwJDlSFXk/hS8oKIhy5cpx9epVm7pjT09PqlevzsmTJ3Ok84JKpWLGjBksW7aMNWvWMHv2bFxcXChZsmS6NnJPYsqUKdSrV49Vq1Yxf/58rFYroaGh1KhRI0dHMj8pubxiw4YNhIWF5Vj3ikedO3cOgHXr1rFu3bp05y9ZsiTHgmSV9LQ5fzty7tw5evbsydq1a6latepjL3/lyhXWr1+PVqulZs2adOzY0S571VosFqKioggMDHTYrGNKSgoJCQmEh4c7dMZcJkkSUVFReHl55WjD84LIZDIxd+5cfvzxR3bv3q1Mr3yc27dvs3DhQtauXYuTkxN9+/Zl8ODBNh/RCYKQtwxmaPQLxKQ8+XVDPOHgYHATeQPBzhSqp6TJZGLHjh38/fffuLm50atXr1xZDZlTCsO0PZPJhLOzc6EIkCG1k4fVanXYg54nodVq8fHx4ZVXXsl2gAyp0/wmTJjAiBEjWLp0Kb/99hu//vorXbp04fXXX3/sgg9BEHKemzNs7AexT9HTONhDBMiCfSo0meSoqCjWrl1LdHQ0JUqUoGfPnvj5+eXxnj4ZnU5HfHw8YWFhDhsoy0NZcmrlr71LTExEr9cTGhrq0L2vH8disRAdHY2Pjw/e3t7PdFsajYaVK1fyyy+/EB0dTZs2bRg2bJhdHwALgiDYu4SEBEwmU5aX8fT0dOiJp0917Pb9999z7tw5zp49y71796hUqVK6wum0EhIS+P7779mxYweRkZF4eXlRvnx5xowZo0x+gdRV/0uWLGH58uXcvXuXoKAgOnXqxDvvvPPUi3QkSeLo0aPs2LEDq9VKq1ataNy4cYHIXFqtVlQqVYHY16chL9orLAuwJElCr9fj7u5eqANkSC2zgdQX2Gfl7e3NkCFDePnll9mwYQM//vgjvXr1olmzZgwbNszmNUYQBEHInpEjR/L3339neZkRI0YwcuTIPNqjvPdUQfL06dPx9/enWrVq6Sa7POrevXsMHDgQs9lMjx49KF68OMnJyVy6dImoKNtlsF999RVLly6lbdu2DBkyhGvXrrFkyRIuXrzIwoULnziw0Gg0rFu3jmvXrhEQEECvXr3STZ6xZ3JnC0cNqArboj2TyYTFYin0pRaSJKHVavH09MzRA0BXV1d69+5Njx492LJlCwsWLKB///7Ur1+fYcOG0aBBA7v5Xzp9+jR3794lISGB5s2bF6jXJUEQCodx48ZlOQEVsLuGBzntqYLkHTt2KL+YVq1aZXnZ//3vf3h5ebFs2bIsyxuuXLnCsmXLaNeuHXPmzFG2R0REMHHiRLZs2UKnTp2yvY9Xr17ljz/+ICUlhVq1atGxY8cC14vX0TtbFLZJe3q9HrVaXeCehzlNp9NhtVpz7SM6JycnOnfuTKdOndixYwfz58/n1VdfpXbt2gwbNoxmzZrlW7Cs0WhYuHAhCxcuxGAwEBQUxOTJk3nllVcYO3asw35qJAhCwSNK1p5ymEh2jxyOHTvGiRMnGDVqFH5+fhiNRmUc76M2bdqEJEm88sorNtv79u2Lh4cHGzZsyNZ9Wq1WduzYwa+//orFYqF3795069atQAYmjt4j2WQy4eLiYjfZvdwmSi3+yyK7ubnlegs8tVpNu3btWLt2LT/88AOSJPHmm2/Sq1cvdu7c+dTN/J+W1Wpl8uTJzJs3j8aNG7Nw4ULmzp3LyJEjWbduHb/99lue7o8gCIKQtVyNwOSRjwEBAQwePJgaNWpQs2ZNOnXqxJ9//mlz2bNnz6JWq6lRo4bNdjc3NypVqsTZs2cfe38ajYZFixZx8OBBihYtytChQ7PVEs5eOXomWQ6SCwOz2YzZbC70pRZGoxGTyfTMi/WehEqlonnz5ixfvpxFixbh6enJ8OHD6d27N3v27MmzYHnLli2sWbOGdu3aMX36dBo2bEjNmjV56aWXiIiIYO3ateh0OjFVUBAEwU7kapB848YNILWw28nJiW+//ZaJEyditVoZM2aMTRPo6OhoAgICMsz4hoWF8fDhw8e+eaxZs4Y7d+7QoEEDhgwZUuA7JjhyJlletFdYgmS9Xo9KpbLLftx5SavV4uzsnC+f7KhUKho2bMjSpUtZtGgRbm5uDB06lL59+7Jv375cDZY1Gg2ffvopYWFhTJgwATc3NywWi3LAUL9+fe7fv4/FYnHoA2NBEISCJFcjMK1WC0DJkiX58ccfeeGFF+jTpw+///47Pj4+fPvtt1itViC1TjGzN045sMisVENefSlJEv369aN9+/YF/o3G0aftyW1lClOQ7ObmVqhLLcxmM3q9Hi8vr3z9PcjB8q+//srChQtxcnLijTfeoF+/fhw8eDBXguUFCxag1WoZNmwYgYGBSjAsP////fdfAgIClNdMQRAEIf/lalGg/NFyz549bd4UAwICaN26NevWrePGjRuULVsWDw8PYmNjM7wdg8Fgc3uPkmsbK1SoQFRUlE3XDJVKRVBQEMHBwco+qFSqLH/O6kvuNiF/T3v9nCRnzR01k2wymVCpVIUiSLZYLBiNxkI/Plmr1aJWq3Ok7VtOUKlUNG7cmEaNGnHgwAFmz57NkCFDqFOnDu+88w4NGzbMkfuJiYlh5cqVlC9fnn79+gGp/9dWqxW1Ws3Zs2e5dOkSVapUISgoKEfuUxAEQXh2uRokh4WFARASEpLuPHlbYmIiAKGhoVy9ehWj0ZguoxwVFUVISEimWVV5Bea0adMyPP+NN97gjTfeAFIztHKmSP5utVqV7Rl9Pc6jwbP89ejpR7+yCq7lDLsjZ5KdnZ0LRWZV/gSkMNcjW61WUlJS8j2LnBGVSkXTpk1p0qQJ+/btY/bs2bz66qs0bNiQsWPHplsn8aQOHz5MUlIS48ePB1Iz6mmf+9u2bSM+Pp5OnTrh7OysBM+P0mg0bN68mWrVqhXotRaCIAgFRa4GyTVq1GD58uU8ePAg3XnyNjlzUq1aNQ4cOMDp06epW7eucjmDwcDFixdp0KBBpvcjB9XffPNNhiNpQ0JCnnq6XtqAWi6BSPs9o21WqxWz2YzValW+MvJo0Ozk5KR8NxqNSjZZkiS7CyyeVUYHQ45KLrVw1E8FskOn0yFJkl1PZpIX+DVr1oydO3cyc+ZM+vTpQ5s2bRg9ejTly5d/qtu9ceMGTk5OVKlSBavVahMIHz16lE2bNlGqVCl69eoFZP7p0fnz5/nss88AeOGFF/jkk08K/acTgiAIuSlXg+Q2bdowadIkVqxYQe/evZWg6MGDB+zcuZNSpUpRsmRJADp16sT333/P4sWLbYLklStXotPp6NKly2Pvr2zZsjmeYUlbigFPl9lNG0w/+mWxWJSf5cBY/tlgMBAdHZ1hEJ32S85KFZRAWj6IyMsOB/nFarViMBjsfgR6bpLbvnl4eBSIT0ZUKhVt2rShZcuWbNy4kTlz5tClSxe6du3KyJEjn7h5vrxo09nZGbVarWSSNRoNS5cu5cGDByxYsAAg04V7iYmJ/PzzzxQpUoQuXbrw119/0aRJE4YNG8bbb7+dI49bEARBsPVUQfK6deu4f/8+AMnJyRiNRubNmwdA0aJF6d69OwB+fn6MGzeOTz/9lP79+9O1a1d0Oh2//vorZrOZTz75RLnNihUrMmDAAJYtW8aIESNo3rw5165dY+nSpTRo0OCJBonYm7T1zNkhSRIJCQmkpKQQGBioBNNyAG0wGLBYLDalICqVKl3gnPa7PWUxzWYzUDgW7T2unr4wMBgMmM3mApf1dHJyonv37nTq1IlVq1Yxf/58/vzzT/r27ctbb71FaGhotm6nWbNmrFq1iu3bt/Pyyy8rB4fffPMNO3bsoEePHrRo0UK5z0dZrVb27t3L/v37+eijj+jcuTPdunVj48aN/PTTT6xbt45Zs2ZRpUqVHHvsgiAIwlMGyWvWrEk3z3vWrFkA1KtXTwmSAV588UUCAgL46aefmDFjBiqVitq1a/P222/z3HPP2dzG+PHjKVasGCtWrGDPnj0EBgYyaNAgRo4cWWCypDlBDqrd3Nzw8PDI8DJyZloOntN+mUwm9Hq9TZmHnIFOGzzLX3kdQBuNRiWz5uh0Oh0uLi4FIoOaW7RaLa6urgW2vMbV1ZUBAwbQo0cPli1bxk8//cSaNWt49dVXef311/Hx8cny+pUrV6ZZs2b89NNPxMfH4+TkxKVLlzh48CCdOnXif//7H5B5FvnWrVusXLkSSZIIDQ3Fz88PPz8/XnvtNZo0acLBgwfR6XS58tgFQRAKM5WU12OncsG5c+fo2bMna9eudZgFLbGxsahUKgIDA5/q+nKJh9lsxmKxpPuetue0Wq22CZrlLycnp1w5OImPj8disRAcHJzjt21PJEkiMjISb2/vxwZSjspkMvHw4UMCAgIyPeAraJKSkvj5559ZtGgRHh4evP3227z44ouPPQj44YcfWL16NZIk4eTkxMsvv0zHjh0JCgrKct3B9evXmTt3LvHx8Rw5coSOHTvyxRdfKPXdBoOh0PffFgRByA0iSLZT0dHRuLm55VotqxxAZ/QlPyXkEg4XFxclcJazos8SPOf2Y7MXer2euLg4QkJCCkVpSUYSEhIwGAyEhoY63KdBUVFRzJ49m7Vr1xIREcGYMWPo2LFjlo9Tfk6EhYXZZI0TExOz/H8wmUwkJCRw4MABpkyZQoUKFZgyZQrFihXL0cckCIIg/Md+ClUFG5m1gcopco9iDw8PfHx8CAgIICQkhPDwcMLCwggKCsLX11eZDKbVaomPjyc6OprIyEgePnxIfHw8Go1GqZHO7uMym82FImjU6/XKwUVhZLFY0Ol0eHp6OlyADKktLidNmsT69espU6YMY8aMoW/fvhw7dizT67i7u1O0aFGcnJyUgTp79+6lb9++bN68OcPrWK1WXFxcCAkJoVOnTrz++uucOHGCkydP5srjEgRBEFKJINkO5ee0PTl77ObmhpeXF35+fgQHBxMWFmYTPLu4uGCxWEhOTiY2NpaoqCgiIyOJjY0lKSkJnU6HyWRK12e6sEzakyQJvV6Pu7u7QwaI2ZGSkgJg123fckKFChX4/vvvWbJkCVarlZdffpm33nqLq1evZnk9+X9gw4YN3Lp1K8NhSmkPliVJws3NjT59+uDi4sL27dszbS8pCIIgPLvCmeKyc3JW1p4We6XtnpG2/lGSJGWxoMlkwmw2o9Pp0Gg0yvVcXFyUL6PRCODw2VWj0YjVai20XS0kSSIlJQUPDw+76qySm+rXr8+qVavYunUr3377LV27dqVr1668//77Wa4t+Pbbb2nSpAk9evRQtm3YsIFWrVopnTDkmmWr1UpSUhKurq5K721H7KMuCIJgDwrHu1cBI2eHCkJwIXep8PDwwNfXl8DAQMLCwggPDycoKAgfHx+cnJwwGAwkJCQQGxuLTqcjNjaWxMREdDqdTR20o9Dr9Uo9d2Gk1+uxWCwOn0VOS6fTcf36dTw8PHj55ZepU6cOmzZtom3btixcuFA5QMxI2gD5zp07zJo1i0mTJnHnzh3gvz7tarWakydPkpycTJUqVUSALAiCkIscO51XQNljJvlJqdVq3NzcbLLOVquVBw8eKBlpvV6PVqtVLi+3CZOzzgXhICEjcqmFm5tboQxgJElCo9Hg5ubmsAcJVquVhw8fcvfuXeUrJiZGOd/Z2ZnWrVvTs2dPTpw4wbRp0/j99995//33adOmTZbPi4CAADp37qy0fevbty9ly5bFz8+Pbdu2MXfuXMqXL0+dOnUK5fNLEAQhr4gg2Q5ZrdYCNUHvSahUKvz8/JR2YHKphtFoxGQykZycrGSV5WBZDp5zqyVdTpPb7DlKy7MnJZfePG37QnuUkpJiExDfu3fPJjPs7+9P9erVKVasGMWLF7fpXtGzZ08GDx7MlClTGDFiBPXq1ePDDz/MdPiHt7c3Y8aMoUyZMkyePJkDBw4QGhqKXq/n+vXrBAYGMnr0aGrVqpUXD10QBKHQEkGyHbJYLKjV6gIRED6JjBbtyVlluXZXbk0nB85Go1FZAObk5KQEzK6urso4bnsjjyEuqMMznpVWq8XZ2bnA9u6VJIno6Gju3LnD3bt3uXPnDnFxccr5Li4uFC1alIiICOXrcSPWy5Urx08//cS+ffuYMmUKPXv2pEePHowdO5aQkJAMr9OtWze6dOnCggULOHPmDJIkUbduXXr37k2NGjWUfbXH/wFBEARHIIJkO5TZ5K2Czmg0KpP/MpN2oZ+npyeQmlmXA2aj0UhSUpISHMgLmOQyDXsIGApzVwu57Zufn1+BefySJBEVFcXNmze5desWt27dsplgFxAQQI0aNZSAOCws7KlLgZo1a0ajRo1YsmQJc+bMYePGjYwePZpBgwZleFClVqsZPnw4BoMBV1fXdL/TgvI7FgRBKIhEkGyHcrtHcn4xmUxPFciq1Wrc3d1tss1pg2a5RMMegmY5C/64zKKj0mq1qNVquy41kSSJ2NhYrl+/zo0bN7h58yZ6vR5IDTqLFi1KyZIlKVGiBBERETm++FClUtG6dWuWLl2KJEl8++23rFmzho8++ogmTZpkeB03NzeHW9wqCIJg70SQbIcsFkuB/ag6KyaTKUeCJ5VKZbMoUJIkpTzDYDBkGDS7ubnlSXmGXGrhiH+/x7FaraSkpODp6Wl3B3lJSUlKUHzjxg2Sk5OB/4LiUqVKUapUKYoXL57rf7ukpCTWrl1LVFQUGzZswGw2M3HiRF577TXatGnDBx98QPHixdNdT2SNBUEQ8pYIku1Qfg0SyU0WiwWLxZIr3Q7kYNjV1RVvb28laDYYDEqmOSkpyabjhpubW678juWuFvYWJOYFnU6H1WpVymTye1/kgPjGjRs2gzpCQkKoXLkypUuXplSpUnnay9poNHLv3j2WLl3KSy+9RLly5QBYunQpf/75J19//bUyVe/NN9+064y8IAiCoxNBsp2Rp+05WpCVl5P20gbN8F95hsFgwGAwKPWm8uIy+etZM3UWiwWj0Yi/v/+zPoQCR5IktFot7u7u+TIoxmq1cufOHa5cucL169d58OCBcp6fnx+1atWidOnSlC5dGh8fnzzfP0j9HSUmJrJw4UKcnZ0ZMWKEcp5KpeKFF16gZcuWfP/99/z444/88ccffPjhh7Rr105kkQVBEPKBCJLtjCP0SM6IyWR67KK93PJoeYbValUCZrlXc9rSDHd396dqN2cwGAAKZamFwWDAbDbj5+eXZ/ep1Wq5cuUKV69e5erVq8rv38PDgypVqlC6dGnKlClDQECAXQSZOp2Oc+fO8eeff/LJJ59keDDl6enJmDFj6NWrF1999RXvvPMOTZs25ZNPPqFkyZJ5v9OCIAiFmAiS7UxBmrb3JJ520V5ukBeWeXh4KGO19Xq9Us+clJSktKV7kiyzXq9X+jkXNlqtVulpnVskSeL+/ftcuXKFK1eucP/+feW8YsWKUa5cOSpUqECRIkXs4nmWljxOunLlynz22Wf06dMny8uXKFGCBQsWsHPnTiZOnEjnzp0ZOnQob7zxRqE8CBMEQcgPIki2M46YSZbLHeyhVvVR8lhtb29vvL29lXZzj2aZ5WBZzjI/Ss5O59dH+flJrv/29/fP8eBUr9dz7do1JWMsT2h0d3enatWqlC9fnnLlytn9+GuNRoMkSYSEhNC/f/9sX69169Y0bNiQBQsWsGDBAtavX8+nn35K06ZNc3FvBUEQBBBBst2xWCwON23ParVitVoLxHCNtO3mfH19lSyzXq8nMTGRxMREXFxclMvIHTMMBgOSJOXpIjB7kdNt3+Lj47l8+TKXLl3i1q1byqcroaGh1KpVi/Lly1O8ePEC82mL2WxGq9Xi7e39VAe/np6ejB07lm7duvH555/z+uuv0759e8aPH094eHgu7LEgCIIAIki2O/KiPUcKkuXxvXmxaC8nZZRllssyNBoNycnJSlmGwWDA2dk5Xxat5Ser1YpOp8Pb2/upn7OSJPHgwQMuXLjA5cuXiY6OBlI/TSlbtizly5enQoUKeVrvnJPkzirP2ju7bNmyLF68mE2bNjFlyhQ6duzIO++8w8CBAwvd804QBCEviFdWO+OI0/bkRXsFJfOXGbVajaenJ56enkoJiV6vR6fTkZSUhJubGwkJCUotsyMd6GRGHhn+pKU0cmB87tw5zp8/T0JCgnI7tWrVomLFipQpU6ZAfPqQFblsJ6cWD6pUKrp06UKLFi2YOXMmX3/9NRs3buTLL7+katWqObDHgiAIgkwEyXbGEXskm0ymDEfqFmRp65Td3NyUKXtGo5GUlBRUKpVSkuGofZPltm8eHh7Zes5mFhj7+vpSv359qlSpQkREhMP8ruSWb66urjlehuPj48Mnn3xCt27d+Pjjj+nduzevvvoqI0eOtMvaf0EQhIJIBMl2xmKxONRHp/JgD3tfWPUsDAYDrq6uysI1s9mMTqdDr9cTHx+vBNQeHh4OFTDr9XosFkuWf1u5I8X58+czDIyrVq1KRESEQx1AyVJSUjCbzQQHB+fa46tRowZr1qxh0aJFzJkzh23btvHZZ5/RvHnzXLk/QRCEwsRxojEH4WiZZIvFgtVqLXD1yNklSRJ6vR53d3clEHJ2dsbHxwcfHx/MZrOy8M/RAmatVoubm1u6v60cGJ87d44LFy7YBMYNGjRQMsaOGBjLrFYrycnJeHp65nrJiIuLC2+88Qbt27dnwoQJvPnmm7zwwguMHz+e4ODgXL1vQRAERyaCZDviiNP28nLSXn4wmUxYLJZMP05Pu/BPDph1Op0SMMslGWmD7ILAaDRiNBoJDAwEHh8YV61alWLFihWox/gskpOTkSQpT1sClihRgp9//pmNGzfy1Vdf0bFjR95//3169+5daH7vgiAIOUkEyXbEEXskm0wmnJycHOoxpaXX61Gr1dnKFj4uYJYHnBSE+m2tVouTkxNJSUkcOHCAs2fPkpiYCBTewFhmMpnQarX4+vrm+fNepVLRtWtXmjZtytdff83HH3/Mn3/+yRdffEHx4sXzdF8KC0mSCt1zXBAKCxEk2xE5SHa0TLKjZpGBdKUW2fVowKzT6dDpdKSkpCht5Tw8POxmSmFaycnJHD9+nOvXrxMZGQmIwFgmSRJJSUk4Ozvnax1+QEAAU6ZMoXPnznzyySd06dKFsWPH8vLLLzvU60teioqK4u7du9y7d4+QkBA8PDyoVauW8lwXwbIgOB4RJNsReWiCo2Rd5TZpjjqFzmw2Yzab8fX1fabbkWuYvb29MZlMSsCs1WpxdnZWMsz5uaDTYrFw+fJlTp8+zeXLl5XhMLVq1aJmzZqULFlSBAikLuI0GAwEBgbaxe+jSZMmbNy4kenTpzNp0iS2bNnCpEmTKFOmTH7vWoFx7949NmzYwJIlS5RPf+Re9s2bN6dx48Z069ZN6aUuDkIEwXGIINmOONq0PYvFgiRJDptJ1ul0ykK8nKBSqXB1dcXV1RVfX18MBgM6nU4ZXCIv+HN3d8+TN2K5zvjff//l7Nmz6HQ6ACIiIqhWrRq1a9cu8H2Mc5KcRZbbAtoLb29vPv30Uzp27MhHH31Et27dGDlyJEOGDHGoTjq54cKFC4wbN44bN24on4o5OzsrU0R37drFyZMn2bdvH5MnTyYwMNAhe90LQmElXiHtiKNN2yuok/ayS6/X59rQkLSL+uRJfzqdjoSEhFyvX05KSuL06dP8+++/xMTEABAcHEyjRo0oX748FouF0NBQEWA9QqvVYjabc2xwSE57/vnn2bBhA7Nnz2bGjBls3bqVr776ikqVKuXpfpw+fVppj9ekSZM8ve8ncebMGQYPHoxGowFSP/GRFyKnlZCQwN69e3nllVdYvHgxgYGBIqMsCA5CvMvZEUfLQJhMJpydnR3yzcJiseRZ/+e0k/4yql/29PR85nIMo9HIhQsXOH36NNevXwfAw8ODevXqUbNmTYoUKQLAw4cPcXd3FwHyIywWC8nJyXh5edn1QaG7uzvvv/8+HTp04KOPPqJ37968/fbbvPHGG7n+N71z5w4LFy5kzZo1SmeUwMBAvv32WypWrJir9/2krly5wrBhw9BoNDg5OWGxWJRP+tq0aUPRokVxcnLi/v37bN26VbnO66+/zsKFC/H39xc1yoLgAMQ7nR1xtB7JjrxoT6/XA+T4JLXHebR+OSUlxaYcw9PTM9sLCSVJ4s6dO5w8eZLz588r48MrVapEzZo1KV++vM3z0WAwYDab8fPzy82HWCAlJyejUqkKTP29PIRk7ty5zJ49m507d/L1119TtmzZXLm/hw8f8s4773Dx4kW6dOlCq1at0Ov1bNy4kaFDhzJnzhyqV6+eK/f9pJKSkvjmm2+Ii4tDrVYryYsGDRrQvXt3unTpYnP5nTt38t5776HT6bh48SLTp09n/Pjxef7aIAhCzhNBsh1xpGl78qQ9R32jkEst8itL/mj9sl6vJyUlhfj4eNRqNR4eHnh6emZ4kKLT6fj33385efIkDx8+BKBo0aLUrFmTatWqZTrWWKvV4uLiIuqQHyGPIvfz8ytQn5q4uroyZswYWrVqxbhx4+jevTtjxozhlVdeydGDdaPRyFtvvcWFCxf45JNP6N+/v/J7KlOmDMOHD+fo0aN2EyT/+++/HDlyRFlIrVarad26NYMGDaJu3bqAbQKgdevWTJ8+nWHDhmG1Wjl16hRXrlyxm8cjCMLTc4yIzEE4UibZbDY77KI9q9WKwWCwm4xq2nIMObssd8dwdXVVsst3797lxIkTnDt3ThmAUr9+ferUqUNoaGiW9yH3dZZHbwup0rZ8y+zgwt7VrFmTdevWMXPmTKZOncpff/3FlClTKFmyZI7c/uTJkzl37hyvv/46AwYMAP5rl1alShUCAwM5fPgwr7/+er6WKMgH9itXrsRoNOLq6orRaKRChQr069dPCZDTvq7J+9uyZUtGjRrFrFmzuHLlCrt37xZBsiA4ABEk2wl5tXRBykRlxZEn7eVXqUV2uLi44Ofnp2SXExISOHToEOfPnyc+Ph6A4sWL89xzz1GlSpVs/320Wq2SoRb+o9frMRqNBAUFFeiDB3d3dz744APatGnDBx98QLdu3Xjvvfd46aWXnuk16fDhw/z+++80btyY9957D/iv1aVKpcJqtRIdHa0EoPlJ/nRGnhYpLzzu0qULjRo1AtL3Qk77c+3atfH29sbNzY2aNWvm3Y4LgpBrRJBsJxytR7IjL9rT6/W4uLjY9d8qOjqaY8eOcebMGSUrVq1aNSpWrEiRIkXw9PTMdmmP1WolJSUFLy+vAh0I5jQ5i+zu7m5XLd+eRd26dVm/fj3Tpk3jyy+/ZMeOHUyZMoXw8PAnvq2UlBTmzJmDk5MTn3zyCZB+cfKiRYtISEhQaqHz8/klP8+jo6OB1Pr/4OBgevTooZyf1evZ888/T6NGjejevTvNmzfPk30WBCF3iSDZTjjaSGqj0eiQWWRJkjAYDHa5QMtsNnP+/HmOHz/OnTt3AAgPD+f555+nWrVquLi4KF0x5NplT09PvLy8snzepaSkAOTrBDl7pNFosFqtzzxMxt54eXnx2Wef0aZNGz788EO6dOnC559/TqdOnZ7odu7fv8/p06d5/fXXKVWqlBIgy9nYM2fOsH79ekJCQmjdujWQv1PrVCoVXl5eFC9enFu3bmE2m3Fzc1PKqrIKkCVJwsnJiYkTJyrPB9HdQhAKPhEk24m0i0QKOkmSMJvNDvnRvMFgQJIkuyq1iI+P58SJE5w6dUppC1ezZk3q1q2bbkT0o7XLWq0WjUaDu7s7Xl5e6fouS5KEVqvF3d3dYQ7gcoLFYkGj0eDl5eUwi20f1bhxYzZs2MCECRMYM2YMu3bt4tNPP832QcGpU6cwm81UrVoVSH1tk7OxcXFxLF26lGvXrjFx4kTCw8PzvdxMft6XKlWKAwcOoFKp0Gq13L59mxIlSmT5/JevKx88WywWh3gtF4TCzjFf3QsgR5q2Jy/ac8QuCHq9Hmdn53wPjCRJ4ubNmxw5coTLly8DEBAQQOPGjalVq9ZjF5HJtcs+Pj7KIr/Y2FhcXFzw8vLCw8MDlUqFXq/HYrGILPIjkpKSUKlUeHt75/eu5Cp/f39mzJhBy5Yt+eKLLzh+/Dhff/019evXf+x1Q0NDUalUmM1mAJvXt59++okNGzbQqVMnevfuDWScIMjLbKx8Xz169GDPnj3cvXuXuLg4rly5QunSpbMVxMv7Kg4oBcExiCDZTsidLRwhSHbUSXuSJKHX6/O1i4HZbObs2bMcOXKEqKgoACpWrMjzzz9PmTJlnvj5o1ar8fLywtPTE6PRiFarJSEhgaSkJDw9PdHr9UqrOSGVPC7c39+/UGQLVSoV3bp1o27dunzwwQe88sorDBkyhNGjR2f5vChVqhTlypVj69atVKlShVKlSmEymZgyZQq///471apV49tvvwXS1/vKAatKpSIxMZF79+5x8+ZN/Pz8KF26NEWLFs2VxwmpY9dr1qzJvXv3sFqtjB8/nqJFi1KtWjVlvyRJsrlOYmIikZGRrF+/HpPJhMlkol27dpQoUYKIiAibxyQIQsGhkuT/9gLs3Llz9OzZk7Vr1yof7RU08fHxWCwWgoOD83tXnllCQgImk4mQkJD83pUcZTAYiI2NJTg4OM+DxpSUFI4fP86xY8fQaDS4uLhQu3Zt6tevT2BgYI7el9lsVsowNBoNfn5+BAYGikCZ1EAn7ajuwhb0WCwWfvnlF2bOnEnZsmWZNm0a5cuXz/Tymzdv5sMPP6Ry5cq4uroSFxfHtWvXaNWqFR999BHFihXDbDbbfDIj1y4nJiaye/duZs+ejUajISUlhdDQUCRJ4o033uCll17Ktcd5584dXnvtNW7fvg2An58fM2bMoHbt2unKyM6fP89vv/3Gnj17lOcGgLe3N2XLluXtt9+mWbNmgAiUBaGgEUGynYiNjUWtVhMQEJDfu/LMHj58iIuLC/7+/vm9KzkqMTERvV6vfIycF2JiYjhy5Aj//vsvZrMZX19fpbdxbtdFx8XFKb2WLRYLrq6ueHl5ZXuinyNKSUkhISEhXw6U7MmFCxd47733uHPnDh9++CH9+vXL9Dlx9epVFixYQEJCAlarlX79+lG7dm1CQkLSZZDTnp4wYQJr1qyhSZMmvPXWW1SpUoVDhw5x5MgRli9fTs+ePZWuGbnh2rVrDBo0iNjYWCC120X79u2pXLkyHTp0ICIigtOnTzN16lTOnDmDwWBQgn2LxaJkm52cnJgxYwbt2rXLtX0VBCF3iCDZTkRHR9uspC6oJEniwYMH+Pn5OVQdqyRJREdH4+7unut/I0mSuHHjBkeOHOHKlStA6kS8hg0bUrly5Typd7RYLERHR+Pj44OXlxcGgwGNRoPRaMTJyUkp0SgM5QYyuaevm5ubQxzMPiu9Xq+UTrRp04aJEyc+9veS3UzqrFmzWLRoEd7e3syZMwdJkqhduzaQeuC4YcMGli1bxmeffZar7dZu3LjBu+++y+3bt9FoNAB4eHjw22+/4evry6RJk9i/f7+yDkM+PyAgAL1eT1xcHJAaKM+bN0+0hhOEAkbUJNuJR/uHFlSOOkTEbDYrU+pyi8Vi4ezZsxw+fJioqChUKhWVK1emQYMGFC9ePE+zt3LbN09PT1QqFe7u7ri7uyt1y0lJSWg0mmy1kHMUGo0GSZIcruXb03J3d2fChAk0adKEjz76iG7dujFt2jTq1auX4eUlSbIJkhcvXkxYWBgdOnRQzlepVOzbt4+FCxdiNBoxGAxMmDCBGzdu8PzzzzN//nyCg4Pp2rUrarU6x6YCZqZ06dLMmzePVatWcfDgQS5evMjMmTOpXLkyGzZs4MSJE8prHkC7du1o27YtDRo0ICkpiffee48LFy5gsViYM2cOZcqUoXjx4rm6z4Ig5ByRSbYDVquVyMhIAgICCnzbNDmACg8Pd6iP5JOTk9FqtYSFheX449Lr9Zw4cYKjR4+SnJyMq6urUm+cHxlLSZKIiorCw8Mj06y5xWJBq9WSkpKCJEl4eHjg5eXlcAdHMrPZzMOHD/H29rbLHtn5LTIykv/9738cO3aMYcOG8fbbb2fZAebo0aO88sorqFQqDh8+rJRmxcfH8/7777N//3569epF586diYiI4MKFC0yePJmwsDDmzZun1OHnVds4ORC+ffs2ZcuWxWg0MmjQIP755x/lMj169OC1116jXLlyyrZbt27Rv39/4uLi8PLyYvbs2TRu3FjUJgtCASEyyXbAkXoky5P2HO0NQK/X4+bmlqOPS6PRcOjQIU6cOIHRaMTb25vWrVtTt27dfO3DrNPpsFqtWZbLODk54evri7e3t9JvOSUlBXd3d7y9vR2uXjcpKQm1Wu3wLd+eVnh4OIsWLeKHH35gzpw5HD58mGnTpimdHR5Vv359XnjhBerWrYu/v7/ySdr169c5ceIELVq04H//+58SPIeHh3P37l2mTp3KpUuXaNiwIZB3r5nya5o8GTA5OZnY2FilA0eZMmXo0aOHEiDLjycoKAg/Pz8SEhLQarXs2LGDxo0b58k+C4Lw7ESQbAccadqePALZkZjNZkwmU44FSElJSRw8eJCTJ09iNpsJCQmhUaNGVKtWzS76L2u1Wtzc3LK1L3Lg6OXlhU6nQ6PREBMTg6urK97e3jl+YJEfDAYDer2egICAAv9YcpOTkxPDhg2jQYMGvPvuu3Tv3p2JEycq5RSPktu/wX+t1M6fP09KSgoDBgxQAmSz2YyLiwstW7Zk6tSpXL58WQmS88qjA3bkNoByCUnp0qWVMhO5nSfAgQMHuH37drqWceJ5JAgFgwiS7YCjZJKtVitms9nhsm16vR6VSoWbm9sz3U58fDwHDhzgn3/+wWq1UqRIEZo1a0bFihXt5k3TaDRiMpkICgp6ouupVCo8PT3x8PBAr9ej0WiIi4vDxcUFb2/vAtsRQ5IkEhMTcXV1taspi/asdu3arF+/nk8++YRRo0YxYMAAxo0bl+X/j/zciImJwdnZWak1tlgsysHa7t27gfxPJqhUKooWLUrFihWJiYlBpVIRHh4OpH4KI5fMnT9/nj///BOr1YqLiwtGo1H5dObRtncg2sMJgj0SQbIdkKftFfQgWZ6s5Wh1qXKpxdP+fWJjYzlw4AD//vsvkiQRERFBs2bNKFeunN29KWq1WpydnZ/60wCVSoWHh4eyyE+j0RAfH4+zszPe3t7KJL+CIiUlRcn2F6T9zm8+Pj7MmDGD+vXr89VXX3Hq1ClmzpyZ6UI7+XdbpUoVnJycOH/+vM0o6NOnT7N+/XqcnJxo2rRpnj2OjMjBbJMmTTh58iQ6nY7Vq1fTq1cvKlWqBMCRI0dYv349O3fuRJIkjEYjLi4utG3bFkAJkA8ePIi7uzvPPfecMqREPM8EwX6IINkOpP14riAzGo2oVKp8LxnISRaLBaPR+FQ9n6Ojo9m/fz/nzp1DkiRKlSpFs2bNKFWqlF2+EZrNZvR6PX5+fs+8f3Lm3c3NTQmWExISSE5OxtvbW+maYc+sVivJycl4eno63IFfXlCpVPTv35+aNWsyevRoevTowcSJE+nUqVOm16lSpQqlS5dW2r+VL1+e+Ph4vvrqKy5dusR7771HyZIl82zBXkbk523Hjh1Zt24dly5dQqfT0a9fP3r16kVycjLHjx8nMjJS+ZTQ2dmZF198kTJlyii3c+TIEX7++WcOHTrE9OnT6dSpk93/TwhCYSO6W9gBR5m25yiPIy15eERYWFi2D2QePHjA/v37uXDhAgBly5alWbNmlChRIjd39ZklJiai0+lypYMHpC7q1Gg06HQ6nJyc7D5YTkxMVKa8OcJBbH56+PAhb7zxBhcuXKB///58+OGHmZZfXLt2jeHDh5OQkIDFYlH6E/fr148JEybk4V4/3vXr1xk0aJAyaS/tyGq1Wo3VasXZ2ZkGDRrw1ltvUbduXQAOHz7MkiVLlB7LAN999x1t2rTJnwciCEKGHCflV4A5Uo/kZ63btTc6nQ5XV9ds/X3u3r3Lvn37lAEgFStWpGnTphQrViy3d/OZWa1WUlJS8PLyyrWg1cXFhYCAALy9vdFoNCQmJiqZ5dy836dhMpnQarX4+vo6xP9mfjKbzVy9epVr165Rq1Yt1qxZwz///MPMmTMpVapUusuXLVuWbdu2sXjxYmVKX6NGjahfvz6Qd23fsqNMmTIsWbKEMWPGcPv2bXQ6nRIcW61W3N3dad26Nb1791YC5EOHDrF06VKlxlqtVuPs7MyVK1dsgmRReiEI+U8EyXbAarUW+I4Qjrhoz2q1YjQaH9sX99atW+zbt4/r168DqR8ZN23aVFnMUxDIK/XzYkqiHCz7+Pig0WhISkpCq9XaTWZZkiSSkpJwdnZ2qKmR+UGSJO7fv8+ECRMoUaIEixYt4ubNm4wePZqePXsyefJk2rdvn+F1X3nllXTb7ClAlpUpU4YFCxawadMmDhw4wNWrV5WJlK+99hpVq1ZVyiwOHjzIsmXLlADZ2dkZs9lM5cqVuX//PgcOHCA4OJhKlSqJGmVBsAOi3MIOPHjwAB8fnwIdYBoMBmJjYwkJCXGY+k2dTkd8fDyhoaEZ1lnfvXuXXbt2cePGDVQqFdWqVaNp06aEhITkw94+PUmSePjwoRK85jWz2UxycrLdlGHI44QDAwNFR4tnlJiYyGeffcaePXtYvXq10kdYo9Hw0UcfsXXrVoYMGcLYsWMd5nXj9u3b+Pj44OzsbHOA/WiALGec0/Lx8cHHx4dx48ZlevAgCELeEZnkfGa1WpEkqcB/pGsymRxu0Z5er8fFxSXdY4qOjmbXrl1cunQJlUpFzZo1adq06RO3TbMXBoMBs9n8VIsTc4Kzs7OSWU5OTiYxMRGNRpMvwbLc8s3NzU0EyM9Ip9OxZs0atmzZwtdff20zic7b25uZM2eyePFivvnmG06fPs2MGTMIDQ3Nxz1+NnLWV157kDb/dPjwYZsAGcDNzY3g4GBat26Nk5OTcsCdnJzMqFGjWLlyJTVq1MjzxyEIwn+eKqL5/vvvOXfuHGfPnuXevXtUqlSJ9evXP/Z6Dx8+pGPHjiQnJ/Phhx/y6quv2pxvtVpZsmQJy5cv5+7duwQFBdGpUyfeeeedAj+uOTOO0iPZZDLh4uLiMB8NSpKEXq+3ye7Hx8ezZ88eTp8+DaSWVbRs2bLAL1TUarW4urrme8mPHCynrVnWaDT4+PjkWes4rVaLxWJRxh4LT8dsNpOQkMDWrVvp2bMn3bt3T3cZlUrFq6++SrVq1ZTuFzNnzuT555/P+x3OAY8OHJFPy4v00gbIvr6+9OvXj06dOilt44YPH06/fv24cuUKnTt3xtvb26a8RJReCELee6ogefr06fj7+1OtWjXi4+Ozfb1JkyYp0+Uy8tVXX7F06VLatm3LkCFDuHbtGkuWLOHixYssXLjQIV8gHGXantFodKjMm8FgQJIk3N3dSU5OZt++fZw8eRKr1UrZsmVp1aoVRYsWze/dfGYmkwmDwZAvZRaZSbvALzk5mYSEBDQaDb6+vrk6wc9isZCcnIyXl5fDfPSfHyRJIj4+HrVazeLFix97+bp16/LHH38wduxYXnnlFd59912GDBlSoF/v5X3ft28fK1eutAmQ/fz8eP311+nSpYuybkEeNDJ79mx+//13+vXrR7Fixfj5558pX748LVq0EDXKgpAPnipI3rFjB8WLFwegVatW2brO3r172bZtG2PHjmXatGnpzr9y5QrLli2jXbt2zJkzR9keERHBxIkT2bJlS5b9NQsqR8gkW61WLBZLvmcic5Jer8dkMrFnzx7+/vtvzGYzERERtG7dOsMV+QWVVqvFycnJLg9wXFxcCAwMxGg0kpycTFxcHK6urvj4+ORKF5Xk5GRUKtVjF2oKWUtKSsJsNhMUFJTt14SQkBB++eUXZs6cydSpU/nnn3+YPHlygV6nodPpWL9+PTt27MDJyQmLxYKfnx+vvfYa3bp1syktcXV1xWq1UqxYMd555x1cXFxYvnw5v/zyC3FxccyYMYOOHTuKAFkQ8thTRWZygJxdOp2Ozz//nD59+mRaY7Vp0yYkSUq3orlv3754eHiwYcOGp9lVu+cI0/aMRiPgOJP2DAYDhw4d4rfffuPQoUMEBgbSr18/hgwZ4lABssViQafT2UVHiay4uroSFBREUFAQkiQRGxtLbGys8rzLCUajkZSUFHx8fAr0/2J+0+v1Suu8Jz1odnZ25r333mPu3LkcOnSI3r17c+3atVza09zn4eHBsGHD8PHxwWKxEBQUxOuvv0737t0zrL1WqVRKsPzrr7+yZMkS4uLiABgzZgxHjx7N64cgCIVenrwbzJkzB51Ox7vvvpvpZc6ePYtarU4XRLu5uVGpUiXOnj2b27uZLxyhR7LJZEKtVhf4x2E2mzl69CizZ8/m2LFjeHp60qNHD4YOHUrFihXtOpB8GikpKQAFps2ZvNApMDAQi8VCTEwM8fHxyjCGpyW3fHNxccHT0zOH9rbwkeuQ3d3dn+n32KZNG1avXo1araZPnz7s3LkzB/cyb5UrV47ffvuNYsWK0a9fv0wDZLmMIjExkdWrV/P7779z7949VCoVKpWKWrVqodPp0l1HEITcleutCC5evMjixYuZOHEifn5+mV4uOjqagICADLMPYWFhnDp1yiECykc5wkjqgr5oz2q1cvr0afbs2UNiYiJeXl40adKE5s2bO1S3jrQkSSIlJQUPD48ClTlVqVS4u7vj5uaGTqcjOTmZ6OhovLy88Pb2fqr/JZ1Oh9FoJCgoqMA+h/ObXIesUqnw9/d/5t9j6dKlWblyJR988AHDhw9nxIgRvP322wXquSorX748q1evznQaadoAec2aNfz+++/cuXMHlUqFk5MTZrMZo9Go9JiuXr06zz33nKhRFoQ8kKsRgNVq5dNPP6VWrVr06NEjy8vKk80yItcf6vX6ApP1yi5HCPxNJlOB7T5y9epVtm/fzsOHD5XpWKVLl8bLy8thA2RI/X+zWCwF9v9JpVLh6emJh4cHWq0WjUZDSkqKMr0vu8GU1WolOTlZCbyFp5O2DjmnAllvb29mz57N999/z6xZszh//jxTp04tkDXjmS2MzSxAlpnNZpydnbl69SpGo5F//vkHFxcXPv/8czp16iQCZEHIZbkaBfz222+cO3eOdevWPfayHh4exMbGZniewWAAyHRxkXz+v//+S2JiYroXjuDgYIKDg5Xt8kdYaX/O6kutVtuczkkFfdqexWLBYrEUuHrk6Ohotm/fzrVr13B2dqZJkyY0btwYJycnJWB2VJIkodVqcXNzK3B/t0epVCqln3JycrISLGe3bZxWq8VqteLr65tHe+x45DpkPz+/HH8tU6vVDBs2jCpVqvDuu+/Sp08f5s6dS9myZXP0fvLD4wLkMmXKUKlSJTp16oRer+fnn3/m/Pnz6PV6pk+fTrVq1ZSezIIg5I5cC5KTk5OZMWMGnTt3xsPDg7t37wIQExMDpE5iunv3LsHBwbi7uxMaGqocLT/6QhsVFUVISEimGVf5jfDzzz/P8PwhQ4bw2muvAf/VcUmSlO7n7NR4pQ2a035/9Ev+qCzt6UdJkoTFYimQHyHKTCYTUHAW7Wk0Gvbs2cPJkyeRJIkaNWrQqlUrpRRI7nDgyFlFk8mEyWRyqF7AarUaPz8/vLy8bNrG+fn5Zfq3NJvNaDQah//UIDflVB3y4zRv3pzVq1fz9ttv06dPH6ZOnUqbNm1y7f7ygkqlIikpKcMAuW7durz88su0aNFCOWBv2rQpvXv3Rq/XM3DgwAI7vEgQCpJce2eQBwGsW7cuw0zyvHnzmDdvHj/++CPNmjWjWrVqHDhwgNOnT1O3bl3lcgaDgYsXL9KgQYNM70sOqr/55psMMwwhISHZGviQNlhO+yVPxUv7c9rvFosFk8lks/1RjwbRTk5OqFQqjEajcn15W0H6CK2gLNozm80cOXKE/fv3YzQaKVmyJO3atUvX61iv1+Pu7l6g/gZPSqvV4uzs7JAHAvJAEi8vL5KSkoiNjcXNzQ0/P790gXBycjJqtbpAtxnLTzldh/w4pUqVYsWKFYwfP563336bUaNGMWzYsAL7v5qcnMzSpUvZuHGjTYBcr149hg4dSv369XF2dlbeV3x9fZk5cyYXL16kXbt2NqVSaYeOCIKQc3ItSA4KCmLu3Lnptl++fJlZs2bRq1cvWrVqRdWqVQHo1KkT33//PYsXL7YJkleuXIlOp6NLly6Pvc+yZcsqt/c0ciJAfTS4tlgsWK1W5Us+bTQaMZlM6PV6EhMT0Wq1yj44OTll+WVPbwr2vmhPkiQuXrzI9u3bSUhIICAggO7du1OpUqV0+ywfrDhy0GQ2m9HpdPj5+dnt3ywnyG3j9Ho9SUlJyuI+ucWbwWBAp9Ph7+8vgounlBt1yI/j7e3NrFmzmDdvHrNmzeLq1atMmjSpQK6JsFgs7Nixg5s3b+Ls7IzZbM4wQJbfEwAqVqxIlSpVSE5O5vLly6jVasLDw20ev1jMJwg556mC5HXr1nH//n0g9WjYaDQyb948AIoWLUr37t3x8PDI8OMwedFFhQoVbM6vWLEiAwYMYNmyZYwYMYLmzZtz7do1li5dSoMGDQrMIJG0gbaTk1OWZQjyVDe5Xlqu75WDabPZjMFgSDelUA6WnZ2d0/2cWWlHbpAkSZkUZY8iIyPZtm0bN2/exNXVlTZt2ihvPhnR6/UOX2qRkpKCWq0ukEHFk1KpVHh4eODu7o5WqyU5ORmdToe3tzcpKSm4uLgUit9DbsjNOuTHUalUvP3225QrV45x48YxYMAA5s+fT1hYWJ7ux7Py9/dn6tSpvPzyyyQmJtKoUSNee+01m9eoR0ddJyUl8fPPP/PXX39x69YtXF1dCQwMpGXLlnTu3Fl0vRCEHPZUQfKaNWv4+++/bbbNmjULSP2oqHv37k+1M+PHj6dYsWKsWLGCPXv2EBgYyKBBgxg5cqRD/sPLg0RcXFyyzMTItctpv8xmM2azGb1er0ztg9QXVWdn53RfcgCdk+TsuL3VI2s0Gnbv3s3JkycBqFOnDi1btnxshliv1+Pq6uqwmUWr1UpKSgqenp4O+xgzIi/u8/DwIDk5WRlEEh4e7pCvK7ktr+qQH6d9+/aUKFGCYcOG0atXL+bOnUvNmjXzbX+eRvny5Vm2bBnTp0/nxRdfpEGDBhmWrlksFo4fP84vv/zCnj17lOetJElERkayevVqtm3bxhdffEGbNm1EoCwIOUQlOUBH8nPnztGzZ0/Wrl37TOUWeU2j0ZCcnEyRIkWe6XbSZp7TBtBms9kmgJYzzs7Ozri4uCg/P23ApNPpiI+PJywszC5qkuVhIPv27cNoNFKqVCnat29PeHj4Y69rtVqJjIxUFn85Iq1WS2JiIqGhoYV2oZrVauXBgwdYLBacnZ1xd3fH19e30P4+npQkScTExGC1WgkJCbGLg62YmBhGjBjBuXPnmDhxIt26dcvvXXpicgvUR19H5VrjS5cuMXXqVA4ePAikrnGxWq3KlD65wxPAd999V+AXNQqCvRDvDPkop3oky4sBM8roWq1Wm6BZLuGQa6Dhv+BZDpzl74/LQsiLDfM7QJYkicuXL7Nt2zbi4+OzrDvOjF6vBzJvM1jQyW3f3N3dC3VAKC/WCwsLw2QykZSUxMOHD5VhJPYQ9Nmz/KhDfpzg4GCWLFnCZ599xvvvv8+VK1cYM2ZMvr8uPYnMyn7k3/GiRYuUANnJyQmLxULNmjX56KOPuH//PnPnzuXKlSsAfPXVVxQtWpQqVarkzc4LggMrvO+WdiAvpu2p1WpcXV3T1Q1KkoTZbMZkMinBszxgAv4r20gbOD9aFiIv2stP8fHxbN26lcuXL2er7jgzcqlFQXpjfRIGgwGz2Yy/v39+70q+MZvNaLVafHx8lE9R3N3d0Wg0aDQadDodvr6+Dt/d5GnpdLp8q0N+HFdXV7766ivKly/PN998w/Xr15k2bZpDjBnftWsXf/zxB/BfBhlS5wKoVCo6dOhAw4YN6d+/P9evXycuLo4zZ85QpUqVTEsuMmq1KghCevaRCiik8rNHslwL7enpia+vL4GBgYSFhREeHk5QUBC+vr64uLhgMpmUOs7IyEiio6OJj49XFkHlV1BpNpvZt28f8+bN4/Lly1SvXp0RI0bQuHHjJw6QJUnCYDA4bBYZUkst5AOdwioxMREnJyeb2nSVSoWPjw8hISG4uLgQHx9PbGys0v9bSGU2m0lMTMz3OuSsqFQqhgwZwvz58zl8+DAvv/wyUVFR+b1bz+zBgwcAyoFd2ul9ffr0YdeuXfj5+fHCCy8AqQf8u3fvBsgwQI6Li1NazwmCkDURJOejvMgkPym1Wo2bmxteXl74+/sTEhJCeHg4ISEh+Pv74+bmhsViISkpSalxlQNnrVaL0WjM1lCWZ3Ht2jXmz5/P7t278ff3Z9CgQfTs2fOpx9XKXUYcNUg2mUwYDAa8vLwKbYZUr9djMBjw9fXN8Hfg7OxMYGAgQUFBWK1WHj58SFJSkk1Nf2GV1/2Qn1WLFi34/fffiY2NpU+fPly4cCG/d+mZxMXFAakHKhERESxcuNBmgeLw4cPZtm2bMqgLUp/vGb0Ox8XFsWXLFhYsWMD//vc/Vq1alfsPQBAKMBEk55OCNG0vbdbZz8+P4OBgAgIC8PT0JDAw0CZwjomJITIykpiYGBITE21KOJ5VUlISq1evZtmyZSQnJ9O6dWveeustSpcu/Uy3q9frlSyNI9JqtYWm7VtG5NZZrq6ujz0QcnNzIyQkBB8fH7RaLQ8fPkSn0+X6gZ89k+uQAwICCsTrFUClSpVYtWoVwcHBvPTSS0pmtSCSM/dyCVylSpWYPn26Tc3xqFGj2L59u3I6ICBA6YQki4uLY/PmzcyfP5/k5GQAPvnkE/bt25dHj0QQCp6C8YrngOSBI/aWSc4us9mMq6sr3t7eSuAcHh5OcHAwPj4+ODk5odfriY+PJyoqiqioKCXbLE8nzC6LxcLhw4eZO3cu586do1KlSgwfPpwmTZo88+9PkiRlyp4jslqt6HS6Qp1F1mq1mM3mbA9QyagEIy4uDrPZnAd7a1/kfsi+vr4FroY1NDSUZcuW0ahRI4YPH87ixYsL5MFOixYtKFGiBJIkcfXqVfbv30+xYsWYO3euEiirVCoSEhKU69StW1dp/QmpAfKmTZv4/vvvlYyzWq3m+eefF6VFgpAFESTnE/kIv6AGyUajMV19q9yOyNvbm4CAAMLCwggLCyMwMBAPDw8sFguJiYncvXuXe/fuERsbqwyjyerN67fffmP79u14enrSv39/XnzxxRxbgGY0GrFarQ4bJKekpADYbR1pbrNYLGg0Gjw9PZ+4HlsuwQgMDMRsNvPw4UOSk5MLZKD1NOylH/Kz8PT0ZM6cOQwePJivvvqKL7/8ssAd7ISEhCitTa1WK++++y7//PMPRYoUYd68ecoCPbk0qHHjxjYt4OQA+YcffrApyWjYsCFvvPEGrVu3ztsHJAgFiGN+vlwAyC9oBeXjy7QkScJkMmWrBlhuEefu7o7FYmHLli08ePAAo9FIREQEpUqVIiQkRAmw3dzccHV1tRl1XatWLSIiImjSpEmOLzzT6/WPnYxYUMlt3zw8PArswdizkj9Wftp6dUhtC+jq6mrTBcPPz8+hJzMWtDrkrKjVat5//31KlSrFhAkTuHPnDjNnziww/dB9fX0ZO3Ys//77L/fv3ycpKYmhQ4cyffp0GjduzA8//MCwYcM4c+YMpUqVol27dsr0wcwC5MaNGzNo0CCaNWsGiFHWgpCZghehOYiCnEm2WCxIkvREgWVkZCTz5s3j5s2bhISEEBgYyJkzZ9iyZQtxcXFKJjc5OVmpa46NjUWj0VCpUiVatGiR44Fs2lILR3yD0Ov1WCyWAhMM5DSTyURKSgre3t7P/H+mVqvx9fUlODgYtVpNbGwsCQkJDruwryDWIT9O3759+fHHHzlx4gQDBw7k4cOH+b1L2Va8eHF+/PFHgoODgdROLUOHDmXu3LnExMSwePFiWrVqRefOnenbty+QOmQlqwC5efPmgAiQBSErYuJePpGzUtmZBmdvUlJSSEhIIDw8PNtvoH/99Rdnz56lZ8+eFCtWDGdnZy5fvsy+fftITEykffv2VKtWTclSG41GDAaDUoohd92Qv3Li4MJoNBITE0NQUJBDZgVjYmJQqVQEBQXl967kOUmSiI2NVSbD5WQQIEkSKSkpSpba19cXDw8Phwk09Ho9cXFxDjt98uLFi7zxxhu4uLjw448/UrZs2fzepWy7efMmH3zwATdu3CAxMRFITbSsWbOGiIgIZe3Bw4cP2bJliwiQBeEZOUaKoAAqKJ0tMmIymZ5onLXBYOD06dMUK1aMkiVLKl0kypcvT6dOnVCpVBw8eJDbt2/b1DUHBQUpfZs9PT2VGsmoqCiio6NJTEzMtNVRduj1emXYiqMxGo0YjUaHDHKyQ6/XYzQaM2359ixUKhVeXl6EhITg5uZGQkKCwyzsc4Q65MepVKkSK1euVNY4HD9+PL93KdtKlSrFrFmzGDRoEDVq1ADgzTffpEyZMnh7ez9RgAwZ91EWBOE/BTNKcwD22CM5u55k0p7cxcPFxcUmiJAzGEWLFqV9+/ZERkZy+vRpdDqdzfVVKhVubm74+voqPZsDAgJwdXVVMl5pSzPMZnO2g2a9Xo+bm5tDvlFotVqcnJwcMkP+OHLLN3d391xdkOnk5ERAQIDNwj6NRlNgF/Y5Uh3y4xQpUoTffvuNSpUqMXjwYLZs2ZKn9/8sz5GwsDDeeOMNfvnlF+bNm8eoUaOUA325D3J2AmStVsvFixdtLldQn7uCkFtEkJxPCmomWS6HyCxIvnv3LocPH1amRMlBrru7O5GRkcr2tKpWrUr16tU5f/48kZGRWd6/3O/X39+f0NBQQkNDlUVZycnJREdHK1lmeUhIRuRR3I7Y1cJisRTqtm8ajQaLxYKvr2+e3J+7uzshISF4enoqvcILYlstR6xDzoqvry8//fQT7du3Z/To0fzyyy+5HiTGxcWh1WrRarXPdDsuLi54eXnRqlUrm9vOTg0ypP6PfPfdd3zyySdMmzaNf/75B0h9vRaBsiD8R3S3yCcWi6VAfswvZ2ozCpI3bdrE2bNnKVKkCM7OzoSHhyv1xM899xybNm3i+vXrhISE4OzsbFMP9/zzz3Pp0iWuXbtG6dKls1UrJzfX9/b2xtvbG6vVqtQyy/1d0wbp7u7uypu/Xq9XznM08uN21I/LsyK3fPP29s7T4TBqtRo/Pz88PDxISEggJiZGeV4WhAMVnU6HVqvFz8+vQL4uPS1XV1emTp1K0aJFmTJlCvfu3WP8+PE5fpBw48YNNm7cyObNm7FYLJQqVYoePXooo6Sf1KPPqZiYGLZu3ZphgDxw4ECbABlS67JPnDjBmTNnuHLlCqdOnWL8+PE0b95cCZQLwvNWEHKb46cL7JDc07IgZmvkDFnaIDk5OZmlS5dy9epVWrZsSZs2bXj++edRqVTKYyxbtixFihTh1KlTNllmOWsh91W+ePEiVqv1qV6g1Wo17u7u+Pn5ERoaSkhICN7e3lgsFhISEpRJgBqNBq1Wi5ubW4H8G2RFXlTm6enpcI8tO5KSklCpVHh7e+fL/f8fe+cdHkXZdvEz2/tmSwod6VIEBAUEQUEQQRCp0lEEBUVUkBdfwYaCBVERUZQivRcBwYKAWKiK0qUpnSTb++607w++mTeB9GyZ3czvunIRkk3y7OzszJl7zn1uhUKB9PR0aLVaPqklEokkZC0lhaIouN3ulPYhF4VEIsGLL76I1157DcuXL8fEiROj+prt3bsXI0eOxNy5c2EymdC0aVNQFIVJkyZh5cqV5f79DMNgx44deOedd24RyEOGDMF9993Hf427GGratClefPFF1K1bF6FQCBcuXMC4cePw3XffARAryiIiHGIlOQEk87S9gpr2zp8/D4fDgc6dO6Nu3bp8JSpvNUKn0+Huu+/G1q1bcfDgQWi1WpjNZv4xOp0OGo2GH+5RXoHHjdKWy+XQ6/WgaZqvMLvdbr7a6PV6oVKpIJPJUqJyEggEwDBMhWzYi0QifIZxIi8QCILgEy/yVpX1er3g9rGK5EMujkGDBsFqteLFF1+E0+nEJ598Uu6LrV27duGZZ56BUqnEnDlz0Lp1a+h0OmRnZ2PhwoVYsGABWrZsibp165b5b0gkErRq1Yrf5yUSCdq0aYOhQ4fyAvnYsWM4dOgQvv76a1AUhY4dO6J9+/ZYu3YtHn/8cRw+fBiRSATjx4/H3Llz0bFjxwq9L4iIcFS8UpMASOaM5LyT9liWBU3T+P3331GtWjU0atQICoUCOTk52Lp1K7Zu3YqdO3fCZrNBJpOhfv36aNGiBY4dO4b9+/fD7/fzB3a32w2bzYaMjIyYbBepVAqNRgOz2Qyj0QiVSgW1Wg2fz4fc3Fzk5ubC4/EUO/1PyHDDQzjRX5HgmvXkcrlgqqFyuZwf0+73+5Gbmyu4qnJF8yEXR5cuXbBgwQIcOXIEw4cPh91uL/Pv2rt3L8aMGYPMzEwsXLgQDzzwANRqNYAbzXd33nknrl+/zke5lYfbbrsNGzZsgE6nQ5MmTTB8+HBeIB86dAhz587Fxx9/jJMnT+LMmTOYN28eXnrpJXz99ddYsmQJ7r77bv53vfvuuzh27Fi51yQikgpUrDOpQEjWaXssy4KiKF6EcHaKYDCI2267DQCwZ88e7Nq1i69k+v1+HDlyBN26dUPdunXRoUMHuN1uHDhwAA6HA+3bt0cwGMS5c+f4wSGxrmCEw+F8lWyuwhwIBODz+SCVSqFWq6FSqfJN/hM6kUgEFEXBaDQmeilxJxgMIhKJwGKxCOr1IggCer1ekFXliupDLo5WrVph2bJlePLJJzFo0CDMnz8f1apVK9XvOHPmDF544QUYDAbMnDkTzZs35+8eco3PBoMBFEXls0iUhzp16mDz5s34559/0LZtWwA3LoK2bt2KX3/9FeFwGMCNggFN07h69Spee+01uN1uLFq0CI888gjOnj2LnJwcHDx4kM+tT/R+KiKSSESRnACStZJcUNNeKBQCcOOE+/fff+PQoUPo3Lkz6tevD4PBgN9//x2//fYbfvzxRyiVStSoUQP9+vXD1q1bceLECSxcuJAfDtKtWzc0bNgwps+Ba+7jkg8IguCb+liW5W/Z3yyY1Wq14C0Zfr8fcrm8wgkehmHg9XqhVqsF24gpk8lgsVjg9/vh9XoRCoWQlpaWsNeqovuQi+P222/HypUrMXLkSAwcOBDz589HgwYNSvSzLMti4cKFcLlc+Oyzz9CiRQtebDIMwx8/v/rqK1itVtx5551RW3flypVRuXJl/v82mw3btm3jBTJwQ0wzDIMzZ84AAGbNmgWPx4OOHTvi4sWLCAaD+O677zBkyJB8x/q8Njju+YgiWiTVEUVyAuAONsl0cPF4PJBKpfkO8izLQq1Wo0qVKjh79ixCoRB0Oh2aNm0KjUYDgiDQokULKJVKbN26FX///Tc/be/hhx9Ghw4dYLfbEQ6HUatWrbjEsXGxcAWJKS7tQqlUFiiYZTJZPsEsJCiK4oVXMu1X0cDn84FhGD4KUKhw3ntuAInNZoNer497AoboQy4Z1atXx8qVKzFq1CgMGTIEn332Ge66665if+78+fPYunUrHn30Udx///35BDInMhcuXIg9e/bg0UcfjWlU4enTp+HxeCCTyUDTNHr16oWxY8ciLS0Ns2bN4hsHFy5cCL1ej0gkwqcG0TSdTyRLJBIwDIP9+/cjHA7jnnvugUKhEIWySEqTXPf7U4Rkyki+fv06PvvsM6xevRrhcDifuOQOjI0aNUI4HMbRo0dRqVIl3mrBVZ1r1aqFzMxM/P333/maS9LS0lC7dm00bNgwbnnFoVAIcrm8WJHLCea0tDRkZmbCYrFAoVDA5/MhJyeHHxzB3RVINJy/m/M8VhQoioLf74dWqxXchUth5PUqcwkY8cxVFn3IJcdqtWLp0qVo1KgRnnjiCezatavYn7ly5QpIkkSLFi34r+UVyJs2bcKXX34Jq9WKMWPG8HexYkGVKlWQlpbGH6dMJhOqVasGvV6P1157DYMGDeLXx41ZZ1kWDRo04I/JZ8+exd9//w0A+OGHH/Dhhx9i5syZ+PrrrxEOh0WBLJLSiEfIBEDTdFJYLf7++2+sXLmSH9Bx8ODBAj26mZmZ/K3I69evw+Vy8ZUTAHyjHEmS/IE4EQdWlmURCoVKLcjzCmZu4p9UKoXX60V2djbsdjufKpEIGIZBIBCokMNDPB4PJBJJwiLfygrnVbZarWBZlo8mjHXTKJcfbjAYKpwtp6zodDp8+eWX6NChA5599lls3bq1yMebzWaYTCYEAgEA/+vdAIC1a9figw8+QDAYxNy5c1GtWrUCIy+jtR9UqVIF1apV4xOVVq1ahZMnTwK4cR7q3bs3n1vPHb+aNGmCXr16AbhRiV68eDEeeeQRTJ8+HWvWrMGRI0dw9uxZzJ8/Hz/++GPCjnsiIvEgOUovKUYyjKS22WzYvn07JBIJunbtir179+Kvv/5CrVq1kJaWlq8yYjAY0LhxY15Mnzx5Eq1bt+afo8fjgdPpRNWqVRPaVMZZLcpTtSYIgrdcMAyDYDCIYDDIXxhw31MoFHETrNzJuKJ5S7mGy2SuiHK5yl6vFx6PB+FwGGlpaTE5PlAUBZfLJfqQy4BCocBHH32EV155BRMnToTP58Njjz1W4GOrV6+O6tWrY9u2bWjatCnq1KkDAJg9ezbWrl0LAFiwYAGaNGlSaNwlQRBwOBw4ePAgHnzwwTKv22w245133sHw4cNhs9kQCAQwcOBAdO7cmc+Nz83N5R9ftWpVdO/eHfXq1QNwI6GDW/OyZct4Qc+yLG9BoyhKvOASSVlEkZwAkmHantlshkwmw4MPPoi6detCJpPhm2++wd69e1GrVi1IpVK+2kEQBGrUqIG2bdti+/bt+Pnnn8GyLO68807k5OTg2LFjCAQCfLU5UR62UCgEmUwWtdvyEokEWq0WWq0WFEXxgjkQCPCRc7H2L+eNfRP6hVc04SLfFApF0o8W53KVOa9ybm4uP70vWog+5PIjk8kwY8YM3qrg9XoxatSoWx7HJVoMHToUEydOBHDjgi4nJwctWrTAlClTcPvttxebB3/x4kVMnz4dP/30E6ZPn17mddeuXRvLly/H7NmzcfHiRZw/fx7ffvstb/HhRG/lypXRq1cvPPbYY/z56dFHH8Xy5ctx+fLlfM161atXx8iRI9GyZUvBn8tERMqDKJLjDDdtT+iCRiKRYMyYMfw6GzRogJMnT+LcuXP49ddf0b59e/5Ey42ebtCgATQaDTZt2oQffvgBO3bsgFqtBkVR6NKlC+644w4AibVacA2F0UYmk/FNWCRJ8s1+Xq8XCoUCGo0m31jsaBEKhUDTdNLZDcpLIBAASZKwWq0pI/iUSiXS09PhdrvhdDoRCoWiNhiF8yFbLJakrboLAYlEgldeeQV6vR4zZ86E1+vFCy+8cMs+WK1aNaxZswZr1qzBxYsXIZPJ0LlzZzRq1AgZGRklGphUr149jBkzBtOnTwdBEHj77bfLvO4aNWpgxowZAG5Uh7nMZM6GUblyZfTu3RsjR47kLzopisLRo0dhsVhw8eLFfM+xdevWGDBgAAAk7fRYEZGSIIrkOMMdlJLhoMIJZIZhQJIk2rZtC7vdjgMHDqBmzZqoXr36LbFA1atXx+OPP46rV6/C7XaDpmk0btw44ckDJEmCYZiYVx0JgoBCoYBCoYDRaOTzl/PaMTQaTdTyl/1+PxQKRb4u9FSHazLSaDQpV8WSSCQwmUxQqVRwu93Izc1FWlpauaLtxDzk6EIQBMaPHw+9Xo93330XXq8XU6dOveWYnpGRgWeffbbA31GS479Go0HPnj0hl8sxbdo0UBSFd999t8zrVigUiEQiWLp0KU6cOAG5XA6SJPMJ5Lx3L3bu3IklS5bg8OHDAPL7pNesWYP27dvjgQceKDAK7p9//uGz80VEkhnhK7UUIxkzkiUSCcLhMEwmE+677z4EAgHs3r0bJEnmO9hzB0m9Xo/69evj7rvvRps2bRIukIEbFVeJRBJXMcmJYovFgoyMDGi1WoTDYdhsNthsNvj9/nI1vZAkiUgkUuFGUHu9XrAsK4j9Klao1Wq+ocput8Pj8ZSpmUvMQ44dTzzxBKZNm4aVK1fiP//5DyiKKvSx3PfcbjfOnTtX4r+h0Wjw4IMP4o033sD333+Pl156qVxrVigUmDRpEoxGI0iSRPXq1QsUyN9//z2WLl2KQ4cO8V/LyspCjRo1+P8/++yz+Oabb0AQRD6BvGrVKjz00ENYtWpVudYqIiIERJEcZ5Jx2h7DMHxzRtOmTdGkSRP8888/+PXXX/nvX7t2jR+vKrSxznlTLRJ1a14mk8FgMCAjIwNmsxlSqRRutxvZ2dlwuVxlGofNDTtJdk9uaSBJEn6/H3q9PqkuNMuCVCqF2WyGwWCAz+eDzWYrUojdjOhDjj39+/fHrFmzsG3bNrz44ouFjh2XyWTw+Xzo3bs3+vbtWyKhzJ0rdDodHnnkETz55JPYsmULpk6dWq4116tXD8uXL0e9evXQuXNnPPnkk/kE8g8//IClS5fi4MGD/NcqV66MCRMmYMGCBWjVqhX/9c8//xxXrlzh/79nzx68/vrrAIDXX38d69atK9daRUQSTfIotRQhGSvJFEWBIAh+zZ06dYLZbMahQ4dw8uRJHDt2DBs2bMCPP/4IIDGe46KgKAoURQlCTHIT/sxmMzIzM6HT6fJVl0saJUfTNEKhUIWKfeOa9aRSaYWpnnMDSLiouNzcXD7NpDjEPOT40K1bN8yePRs7d+7Ec889V6hQlkql/Hu2Zs2aRf5OzsYWiURw+fJlzJ07l0+Z+P7777Fnz55yrblOnTr46quvMG7cOKhUKv68dOjQIaxYseIWgfz000+jbdu2qFq1Kj755BM0bdoU9erVw/Dhw5Gens4/tlWrVrj77rv5/8+dOxfXr18v11pFRBIJwQqt7FcGjh8/jt69e2PDhg1o1KhRopdTJF6vF36/H1lZWYleSonhGtCysrJ4P/WRI0ewZcsWyOVyBINBVKpUCf369YPJZEr0cm/B6/XC5/MhKytLkIKSZVmEw2EEAgHeFpLXu1wQ3HPKzMysMAIoFArB4XDAbDYL4oIn3jAMA7fbjWAwCLVaXWRTXzAYhNPphNForDAXFIlmz549ePbZZ3HXXXfh008/LXAfDYVCkEqlkMvlReblBwIB2O12fPrppzh48CCuXLnCDx9p1qxZVM9zeftKXn/99Xw2icqVK+Opp55C165dYTQaQVEUXxU/fPgwWrduDblcjuXLl/MV73A4jHHjxuHSpUuYNGkS7r///qitVUQk3oiNe3FG6J3ABa2PJEm+0YwgCPj9fgA3qpkURaFz58645557ErHcEpFoq0VxcNVllUoFiqIQCAQQCATg9/uhVCqh1WqhVCrzpYn4/X5oNBpB70vRhKsic2PDKyJcU59SqYTb7UYkEoHJZLqlGU/0ISeG9u3bY968eRgzZgxGjx6Nzz777JYLFE445xXIN4vlX3/9FRs3bsQvv/wCl8uFhg0bYuzYsbjzzjvzNcNFK0qTO4acOnUqn0C2WCx4+umn8eCDD/L59ty4ap1Oh3vvvRfAjSa+adOmAbhRLX/44YcxZ84cnDp1ik80EkdXiyQrokiOM0KetudwOLBu3Trce++9uP322/mvkyTJC5NgMIiffvoJBw8eROXKldGnTx+YzeZELblYKIoCSZJJE5HGeZf1ej0/Hc3hcPAWA41Gg1AoBIZhKlSF0O/389aBin6y5VI9nE4nbDYbDAYDb7sRfciJpU2bNpg/fz5Gjx6NJ598El9++WWBxx4uZz6vjW39+vX47bff8M033wAAOnfujA4dOqBnz54FppJE+7U1m82oWrUqrly5ApZlUadOHfTo0QNqtTqfyM17/lqzZg1effVV/v8TJ06EXq9Hhw4dRIEskhKIIjnOMAwT0+ESZeX48ePYsmULwuEwHA4H/3WuaY870KtUKgSDQXTs2JGvJAiZcDjMj5VOJvJO74tEIvD7/fxUNoqiYj6kREjQNA2v1wutVluhou6KQiaTwWq18vtEJBJBWloavF6vmIecYFq2bIlFixZh5MiRePzxxzF//vwCJ40SBAGPx4OVK1di//79+O2336BUKvHoo4/ivvvuyzdpLx7FFZVKhapVq+Ly5csAgCNHjuDq1auoXbt2gdn+eQWyVCqFVCpFZmbmLT0VokAWSWbEo2icoWlaUCcviqKwbds2rFu3DjKZDEOHDkXbtm3573NTmThxQhAEHn300aQQyMCNyrdCoRDUNi8tCoUCJpMJGRkZUKlUCIVCCAaDsNvt/KjtVMbr9YIgiJSOfCsL3KQ+s9mMSCSCq1evwuPxwGAwiHnICaZ+/fro1KkT/v77b4wYMQIul6vAx+n1evz88884fPgw+vbti9WrV2PGjBm8QObe2/G4+2gwGPDaa6/xdwaDwSAef/xx/PXXX8UKZJZlUaNGDbz66quiB1kkpUhe5ZCECG3ansPhwMKFC3Hw4EHUrFkTTz31FGrVqpXvMSRJgiCIfFXLZBGcDMMgEomkTJMXt98YjUZYLBYwDAO73c6nYqSiWOamF+r1+qTZ7+KNSqWCyWRCOBxGJBIBwzApuS8kC6FQCJ999hk2bdqE3r1749q1a3j88ccLFMoEQWDZsmX49ttv8eqrr6JBgwb5KrHxrsLedtttWLp0KS+Uc3Jy8OOPP+ZbU0ECuXbt2pg4cSJfPOHSMkREkh3xrBNHhDRt78SJE/jiiy9w7do1tG/fHkOHDi2wUpe3aS/ZCIVCAJAyIpmiKIRCIeh0Omi1WlitVv62usvlQk5ODrxeb7kGlAgJlmXhdrshk8nEBrQi4JoatVotLBYLvF4vnE5nyuwHyUQ4HMYXX3yBzz//HGPGjMHrr7+OxYsXFymUASAzM5Ov/if6/FC7dm0sWbIEBEHgkUcewejRo/k1FSWQO3TowP8OoRSCRETKS8UwNQoEIWQkUxSFH374AQcOHIBGo8GQIUNQu3btQh+fzJXYUCgEhUKRMgdsv98PiUTCC0bOa61UKvkhGz6fDz6fDxqNBjqdLqmfeygUQiQSgcViScqLtHjB+dQtFgsUCgVUKhVcLhdyc3MLTL8QiQ3hcBjz58/Hp59+ilGjRmH8+PEAblgvFi9ejOHDh+Pxxx/HokWLkJaWltjFFkOdOnWwZ88eqNVqvh9l9erVeO211wDkF8gTJkzIJ5D379+P8+fP499//4VCoUCHDh2QmZmJatWqARAb+USSC1EkxxFOJCeqUuB0OrFu3TpcvXoVNWrUQJ8+fYr0eTIMA5qmk/Iky2UPp4qPlWEYBAKBQoeHyOVypKWlQa/Xw+/38xFyGo0mKRveuOqoSqVKuqbLeMIloBiNRv59qlKpkJ6eDofDAbvdDoPBAI1GIwqTGBIOh7FmzRrMnj0bI0aMwIQJE/Jt72QUynmHhCxZsgTvvPMOgMIryP/88w82b96Mzz77jE9aAW5Un2vVqoWxY8fi3nvv5b8n7o8iyUDi7/tXILjbn4mo7v3999+YN28erl69invvvRfDhg0rVkByk6OSTWABN8QDy7JJWwW/mWAwCJZli419k0ql/Phrg8GAcDiM3NxcOByOQieBCRGfzweGYWAwGBK9FMFCURRcLleBechSqRRWqxUajQZutxtut1v0KceISCQCh8OBVq1aYcKECZg8eXKBApATysVZL4SGx+PBxx9/DIZhoFQqCxTIJ0+exOeff47PPvsMAPhcd6lUCrfbjcOHD2PMmDH47rvvAIiJFyLJgyiS4wiXbBHPAwTDMNi5cydWrVoFiUSCwYMHo2PHjiWqZpMkCYlEkpS37EOhEGQyWUrEpHHDQ9RqdYlfC4lEAp1Oh4yMDKSlpYGiKH70tdATMWiahs/ng1arTYnXLxaUJA+ZIAgYjUakpaUhGAzCZrOBoqgErDZ1iUQisNvtkMvlqFOnDkaPHl3k8T0ZhbLBYMCqVauQlpaGcDiMBg0a5BPIkUgE69atw9dffw3gxrGHK1JYLBb+QpeiKDz//PP46aefEvZcRERKiyiS40i8ky2CwSBWrlyJn3/+GZUqVcJTTz2FOnXqlPjnk7Vpj7NapEoVORwOg6KoMg0PIQgCGo0G6enpMJlMYFkWdrsddrudP5EJDY/HA4IgkmYATCLgfMgmk6nYC16NRgOr1QqWZWGz2fiGVpHyQZIkHA4H5HI5zGZziW10eYXyE088AY/HE+OVlp+6deti+fLlaN68OcaOHZvPg/zNN99g+fLl/P9lMhkaNGiAzz//HKtXr8b69evRsGFDADeOzXPmzMG///4b76cgIlImRJEcR+KZkZydnY0vv/wSZ8+eRbNmzfD4448XGGhfFJxITja4GCy1Wp3opUQFv98PhUJRLm84N5zEarXy8U4OhwM2m423cgiBSCSCYDAIg8GQ8C5/ocL5kPV6fYn3CblcDqvVCoVCAYfDAY/HI5jXPBkhSRJ2ux0ymaxUApmjfv36+Oqrr3DlyhU8+eST8Pl8MVpp9KhduzYWLFiABx54AMCN81k4HMbWrVsBgO8daNasGd58803cd999yMjIQLVq1fDJJ5/AarUCuOFdPnfuHACI+6CI4BHPQnEkXpXkY8eOYcGCBXC73ejWrRt69uxZarFL0zRomk5KkRwKhSCVSlPiVj1JkgiHw1EbQU0QBFQqFSwWCx8f53Q6kZubm3CxzEW+yeXylLnAiTZ5fcil3SckEglMJhMMBgN8Ph8cDocYE1cGOIEslUrLJJA5GjRogAULFuDcuXN46qmnEAgEorzS6MN531mWhVQqRSgUwtmzZwHcuOMll8sxbtw4fiQ1t21kMhl/V9Ln82H79u2JeQIiIqVEFMlxJNaVZIZh8P3332P9+vVQKpUYMWIE7rrrrjLZJW6etJcssCyLUCgElUqVdDaRgvD7/ZBKpVG3jnDxcRaLBVarFVKpFE6nM6GV5WAwCJIkYTQaU+K1izYl8SEXB2djsVgsIEkSNpuNf6+LFE9egRyN0d+NGzfG/PnzceLECYwZMyZprDDcvkdRFF+QkEgk6NKlC+666y5+JgDHlStX8o3W5goY4vtcROiIIjlOxHraXjAYxPLly7F3715UrVoVo0eP5nMpy0KyNu2RJAmaplPCj0zTNILBYKGxb9FCoVDwYpmrLHPe1XiJZYZh4PF4oFarkzJyMB6UxodcHEqlElarFQRB8BdGIkVDUVRUBTJH8+bN8cUXX+DPP//EuHHjkiqFxmKxoEaNGqAoKl+sGzeplSAIUBSFr776Cjk5OXwMalHJSqIFQ0RIiCI5TsRy2l52dja++OILnD9/HnfeeSeGDx9e7nzgSCSSlE17oVAIEokkJYQWd/s1XtPmOLHMCQDOsxwPsezz+cCyrBj5Vghl8SEXh0wmg8VigUqlgtPpFH3KRcAJZIlEUi6LRWHcdddd+Oyzz7Bv3z48//zzSVHd5/aV9u3bQ6PRgGVZfPfddzh+/DgUCgUoisL169cxefJkfP/99yAIAhKJBFarFe3atQPwv1jU3NxcHDx4EADyZSyLiCQaUSTHiVhN2zt+/DgWLFgAj8eD7t27o0ePHuX24rIsm7RNe6litcgb+xbvBjbOhsFNuuOGUoTD4Zj8PYqi4Pf7k35CYKwojw+5OCQSCdLS0kSfchFwApkgCFgslpjto/fccw/mzJmDPXv2YOLEiYKP6+OOsd26dUPNmjUB3KggDx06FB9++CH++9//4vnnn8fWrVtBEAQUCgVomkb9+vXRrFkzADf2P5vNhvHjx2Po0KG8VznZj98iqYMokuNEtEUywzDYsWMH1q1bB4VCgeHDh6Nly5ZR+90MwyRdNZaiKFAUlRJWi2AwCIZhoi6KSgMnls1mc77ouGjfDvZ4PHyus0h+ouFDLo6CfMpCF2jxIl4CmaNDhw746KOP8MMPP2Dq1KlJccGSmZmJmTNnwmKxALhxB+yLL77A5s2b8eeff/JDRcLhMCpXroxp06bxSUu5ubmYNGkS/vjjDwDACy+8wA8cERERAqJIjhPcwS4aVUEu//jXX39FlSpVMHr0aFSvXr3cv5cjWSfthUIhviEtmeGqyEqlMuGvAZeGYbVaYTKZQNM0bDYbHA5HVIRUOBxGKBSCwWAQq0cFEE0fcnFwPmUA/NCZigxN07Db7QAQF4HM8cADD+Ddd9/Fxo0bMX369KSwHtSqVQtLlixB3bp1+al83PuZ+/z222/HkiVLULlyZQA3BPJ//vMf/Pbbb5BIJJDJZNBoNNi9e3e+350Mz18kdUn+jKwkIVrT9hwOB1asWAG73Y5mzZqhe/fuUY86I0kSUqk06W59h0IhfhxqMkOSJEiS5POMhQCXs6xSqRAMBuH1epGTkwONRgO9Xl+mfYWLfFMoFClR/Y82nA/ZaDTG7a6OTCaD1WqF0+mE3W6HwWCIeeOoEEmUQObo0aMHfD4fXn/9dRiNRowbNy6uf78s1K5dG1988QU2btyIffv24fjx42AYBk2bNkXLli0xYMAApKenA8gvkLltS1EUKlWqhLS0NBw9ehRarRa1atXiPcoVbR8UEQaiSI4T0Ui2uHDhAlavXo1QKIQHH3wQrVq1ismBIxn9yDRNIxKJIC0tLdFLKTc+nw8ymUyQFXFugp9arYbf74fP5+MTOHQ6XamqnYFAABRF8SkLIv8jrw85Xo2bHFxzmtfr5SvZFSmWjxPI3FjlROWtDxw4EF6vFx988AH0ej1GjBiRkHWUhkqVKuHpp5/G2LFjcf36dTAMg8qVK+eLf7u5giyRSPhGxUuXLmHRokVYtWoVMjMzMXHiRDzwwAMVZt8TER6iSI4T5c1I/uuvv7B582bIZDI89thjqFevXhRX9z+4pr1EemHLApcvmuwVSYqiEAqFBC9KOB+rRqOBz+eD3+9HIBCAXq+HRqMpdu0Mw8Dr9UKj0SSd9z3WxMOHXBwEQcBgMEAmk8HtdvOWj2S7u1RahCKQOUaPHg2v14sZM2ZAp9Ohb9++CV1PSeD218zMzFu+d7NA5s43devWRbdu3aBUKrFp0yacPn0a//77L5599lnMnTsXHTt2jPfTEBEBIIrkuMEwTJkOuCzLYufOnfjll19gNBoxcODAAg8+0YKmaTAMk3SVZM5qkeyjjAOBACQSSdJMnJNIJPwtea/XC7fbzUeVFZUy4vV6wbJsuaMKUxGuehvNLN6yotFoIJPJ+DhAs9mcdMeGksIwDJ/uYbVaEy6QOV588UV4PB5MnToVWq0WDz30UKKXVCTcez7ve18qlcJms+UTyAzDQKPRoGPHjnj99df5xt3evXujT58+uHLlCgDg008/RbNmzQRlPxOpOJTpKDBv3jwcP34cx44dw5UrV9CgQQN8/fXXtzzu+PHj2LJlC/bt24fLly9DKpWiZs2aGDRoEHr27HnLCZRhGCxZsgSrVq3C5cuXYbFY0K1bNzz33HNJIxoKg6bpUlfMSJLEpk2bcOLECVSpUgWPPfZYzBMAknHSHsMwiEQiSZ+xyzAMAoEANBpNwsVRaZFKpUhLS4NWq4XH44HT6YRCoYDBYLhlvydJEn6/HwaDIeUrk6UlGAzG3YdcHAqFAunp6XwUoMlkEqQVqDwwDAO73Q6apgVRQc4LQRB47bXX4PP58NJLL0Gr1aJ9+/aJXlapyM7OxpQpU24RyN27d8fkyZOh1WoRiUT440idOnVw5coVEASBf//9Vxx2I5IwynQkmDVrFtLS0tC4cWM4nc5CHzd//nz89ttv6Ny5MwYMGIBIJILt27dj0qRJ2L9/P6ZPn57v8dOnT8fSpUvRuXNnPPHEEzh37hyWLFmCU6dOYeHChYK+/VwULMvm82SVBJ/Ph5UrV+Lq1ato1KgRHnnkkbgI12Rs2guHw2BZNumtFkKIfSsvcrkcFosF4XAYbrcbNpsNarWaF8Qsy8Lj8UAmkyX184wFFEXB7XYnxIdcHNyUOa6hz2g0pszrd7NAFmKBQCKR4J133oHf78e4ceOwePFiPmtY6NA0jWnTpuHnn3+GQqFAJBKBRqNBt27d8PLLL0Oj0YAkSf6icMeOHfjll18A3Dh3KpVKwVwwilQ8yiSSd+zYwY88LsorNGTIELzzzjv5qg5Dhw7F8OHDsX79eowYMYL31p45cwbLli1Dly5d8Mknn/CPr1q1Kt566y1s374d3bp1K8tyEw4X/1ZS4ZmdnY0VK1bA4/Hg3nvvxf333x+3CwRu0l4yEQqFIJfLk0rY30ze4SHJ/Dw4lEol0tPTEQgE+CQMnU4HmUyGcDgMs9mctBe9sUAIPuTi4Br6PB4P3G43aJqGXq8X5FpLCmexELJA5pDL5fjoo48wcuRIPPXUU1ixYgVq166d6GUVi1Qqxbhx43Do0CG4XC4YjUZ06dIln0DmtvuuXbvw/vvvg6ZpKJVKhMNh1K5dO+XuXIgkD2W6p8sJ5OJo0aLFLTu3RCJBly5dANwQxhxbt24Fy7IYPnx4vsf3798farUamzdvLstSBUFpMpLPnDmDhQsXwu/3o1evXujYsWPcTkJcE0UyXbWzLMtP2UtmwuEwKIpKmeoccOM2sVarRUZGBu9Zvnr1Kj99S+R/xDMPuTxwDX3chD6n05kUAy8KghPIFEUljddapVLhs88+Q0ZGBp544glcu3Yt0UsqEfXr18fy5cuRlZWFtm3bFiiQd+/ejVmzZuHSpUv8xTQAjB07NumtdCLJS0KOxtevXweAfEb8Y8eOQSKR4I477sj3WKVSiQYNGuDYsWNxXWM0Kem0vYMHD2LlypWQSqUYOnQomjZtGo/l8dA0DZZlk+JkwZEqVgu/3w+5XJ5U276k5G3uA27YChwOB+9/r+hwPuSC/NtChEs2MZvNCIfDvFUhmeAEMpdHngzbncNgMGD+/PmQSqUYOXJkkZZHIVG7dm2sWbMGb7/9doEV5A8++ADnzp0DQRD8oKJ3330Xbdq0EQeKiCSMuIvk3NxcrF27FlWqVEGLFi34r+fk5MBkMhV4sMrMzERubm7SHYg5iqskMwyD7777Dtu2bYPJZMLIkSNRo0aNeC4RQHJO2guFQpDJZIJqtCktJEkiHA6n9NAGmqYRCARgtVqRkZEBhmGQm5sLt9udtJXIaCBkH3JxcJMYGYaBzWZLmoseztpCkiQsFktSCWSOzMxMLFiwAA6HA08//TQCgUCil1QiMjIyoFarC6wgcwKZO8+/9dZbeOSRRwAgZY+LIsInriI5HA5j3Lhx8Hq9eOutt/IdnILBYKEHK86ywWXhJhtFTdsjSRJr1qzBvn37UL16dYwcORIWiyUBq7yxFplMJujbvXnJa7VI5oOo3++HVCpN+gSXovB6vSAIAnq9nvcrGwwGBAIB5OTkwO/3V7hqUTL4kItDLpfzw2DsdrvgR1mzLAuHw4FIJJJ0FeSbue222/DFF1/g9OnTeP7555PmIgX4XyHm+++/x0cffVSgQE6GTGiR1Cdu5TeKovD888/jzz//xJtvvol77rkn3/fVajU/BvRmuANvYbfUL126BAD4+uuvcejQIUilUmg0Gt47zc2E55q75HI5FAoFNBoNpFIpCIIo9CMaFJZsEQgEsHLlSly+fBlNmjRBz549E1oRTbZJeyRJgmGYpLZaMAyDYDAInU6XlCKpJEQiEQQCARiNRv4CjLtlr1ar+Xxl7jHJLFxKg5DykMuDVCrlR1k7HA6kpaXF9IKPJEkEg0GEw2F+hHthHzRN5/sIBAJ8MQC48f4jCIIvYnD/FvS1ov5VKBRQKpVQKpVQqVT859z/ufNMtLnjjjswZ84cPPXUU5gyZQpmzJiRNPtSIBDAwoULcerUKb5JDxAFsoiwiIsio2kaEyZMwM6dOzFlyhT079//lsdkZGTg7NmziEQit5wks7OzkZ6eXqin97vvvgMALF68uMDvV69eHTt27Ljl6wMGDMCsWbMAABMnTsSRI0f48boajQZarRZ9+/ZF+/btIZFIsHbtWj4zNO8HN8RCKpUWWDFmGOaWA5fb7cayZctgs9nQtm1bdOrUKaEiiWvaSybBGQwGIZFIkkrY3wx3mzTZbrWXlLyRbwU9Ry4XVaPR8JFxGo0GBoMhaU72ZUGIecjlgUu+cLlccDqdoGm6WPsQwzAIhUIIBAIIBoP8vzd/nvf/3CjzZEMikRQqoDmBzVluuHOQTqeDVqsttnDStm1bvPPOO5g4cSLS09MxceLEOD2r8qHRaPD2229j8ODBcLlckEqleOONN0SBLCIoYi6SGYbBpEmT8O233+I///kPhg4dWuDjGjdujF9++QVHjhxBy5Yt+a+Hw2GcOnUKrVu3LvRvtG3bFtu2bUPHjh1hMBhA0zSsVit69OgBAPj999/RpEkTUBSFSCTC/3vvvfciIyMDLMtCJpMhEAggNzcXXq+XDy9v1aoVlEolWJbFlClT4HA4bvn7a9asQdu2beH1ejFu3DhYLBZYrVZYLBZkZGTAbDajTZs2fLyX3W7HqlWr4PV68eCDDxb53OIFRVFJ1bSXClaLVIt9K4hQKIRIJAKLxVLk66RQKGC1WvnIuFAoBIPBALVanbSvb2Eksw+5KDjbiFQq5Sf0MQzDR8a53W7+c5/PV2L7nEqlglqthk6n4z2tarUaKpWKb3Yt7IMrXPh8PtA0DZPJBK1Wy3+dG43MMEyZ/2UYBiRJIhQKIRwO5/vg9v+bv+d2uxEOh0vkx1cqlbxo5pJFbv7o3r07cnNz8c4776By5coYNGhQeV/OuFC7dm0sXboUAwcOxAsvvCAKZBHBEVORzDAMXn75ZWzduhUvvvginnjiiUIf261bN8ybNw+LFy/OJ5LXrFmDYDDIC96CuP322wEAzz77LBo1anTL9xs1aoRhw4YVudYlS5bk+z9N03ziAHfrcMOGDcjOzobNZkNubi7/7x133IH09HR4PB7s3r27QG/Y0aNHIZfL8eOPP+LUqVOQyWSw2+345ptv8Ndff6FWrVpo06YNpFIpZDIZfxCPF8k2aY+iKNA0nVSV75sJhUJ8xS0V4QQSVz0rDi4yTqVSwePxwOVy8RaMZNkviyMVfMgMw8Dn890ifPOK4cIayWQyGYxGI7KysqDRaHjBq1ar+f/f/PXyHAdZloXL5YJSqYTJZCrweEEQREIuUlmWBUVR+QR1IBCAz+eD3+/n/+U+z8nJwYULFwr8XRKJBDqdDi1atMCbb74Js9mMrl27xvkZlY26deti165d4oh6EUFSJpG8adMmXL16FcCNhpxIJIK5c+cCACpXroxevXoBAN577z1s2rQJTZo0QVZW1i2jq+vXr48GDRrwnw8ePBjLli3Ds88+iw4dOuDcuXNYunQpWrduHfdBIlKp9JZsxg4dOhT5Mw0aNEA4HIbH4+FF9LVr13Dq1CncdtttuHjxIv755x8QBIGVK1fmy4muX78+du3aBZZlsXjxYmzZsgW1atVCnTp1ULduXf6Du/0WbQGdbE17oVAIBEEkdci83++HUqlMGQF4M36/HwzDlDrjVCqVwmQy8RaM3Nxc6HS6pB9cASSXDzkQCMBut8Nms8Fut/Mf3PCNm+EylC0WC2rVqsVXbNPS0lC5cmWYTKa43hngBHIwGITZbBbcBTVBEHzFW6fTlehnSJKEx+O55cPr9cLj8aBp06bIycnBf/7zH1SuXPmWSFWhIgpkEaFCsGVoKR86dCgOHDhQ4PfuvvtuLF26tNjHATcqv+PGjeP/T9M0Fi9ejNWrV+PKlSswm83o3r07xo0bV+RtyePHj6N3797YsGFDgZXkRELTNLKzs3Hx4kV8//330Gg0GDRoEDIzM5GdnY1Lly7h0qVLkEgkePTRR8GyLF577TXMnj0bHo8n3+967LHH8MEHHwAAli5dCpIkUbduXdSrVw9169YtV4NIbm4uZDIZTCZTVJ53rEm29d5MJBKBzWYT5Mk7GtA0jZycHGi12nINAmBZFj6fDz6fDxKJBEajMWm3VzAYhNPpFNRIZ05I5ubm8hf2nCjmLGccBEHAZDLBYrEgLS0NRqMx34dOp7tF+IfDYTidTkilUpjN5rhVbPMKZE6cVxR8Ph+efPJJXLhwAatXr0b16tUTvSQRkaSlTCJZaAhZJEciEXz//ff4/fffYTKZMGTIkHxDVAqDZVnk5ubizJkzOH36NM6cOYOWLVuiR48eoCgKTZs2zVeJViqVqFu3LqZOnYr7778fcrkcTqcTlSpVKnZkM8uyuH79er6BD0KGoig+VztZT35cTmt6enrSV0cLwul0IhwOIyMjIyoVU87HGw6HoVarYTAYksrHTVEUbDYbFAoFTCZTQl7zQCCAa9eu4dq1a8jJyeFF8c2NcBqNBhaLJV9vhcViKbPIJUmS7+WwWCwxT/BhWZa3fCTzMaI8OJ1OPPbYY2BZFqtWrSrROUdERORWkncCQxLAMAy+/fZbHD58GFlZWRg8eHCJb6sRBIGMjAxkZGSgbdu2+b4nl8uxe/duXjz//fffOH78OI4ePYq0tDTI5XLYbDbUrVsXFosFt99+Oxo2bIjGjRujSZMmaNGiBd8sxk03SqamvWS3WtA0jWAwCKPRmJICORwOIxgMIi0tLWqWAplMBrPZjGAwyNuZkqWxLxE+ZL/fj6tXr/Ki+Nq1a3C73fkeYzAYUKNGDVit1nxpPdEWlXK5HBaLhW/ms1gsMTvW5BXIsY6iEzImkwnz58/HgAEDMGbMGHz11VcVdluIiJQHsZIcIyiKwsaNG3HixAlUrlwZQ4cOjcttYpZlQRAErl27hldffRVHjhzB8ePH4ff7AdwQ32fOnIFarcbZs2fx66+/olmzZqhVqxZq1aoFmUwmeNFhs9lAEETChq6UF4/HA7/fj8zMTMH7UksLy7Kw2WwAwA+ZiDY0TcPj8SAYDEKpVMJoNAp64iIn2mI13c3r9eLatWu4evUqrl+/jqtXr8Lr9fLfJwgC6enpqFSpEv+RmZkZ94tMmqbhcDhAURTMZnPU/z4XN+j3+/lYwYrO0aNHMXToULRr1w6zZ89OueONiEisEe6ZJYkJh8NYvXo1/vnnH9SrVw/t27ePm4+SEyWVKlXCl19+CeBGRfuff/7BkSNHcPHiRdx2220gSRKLFi3ClClTANyo9jRs2BDNmzdHx44d0atXL37oipAOrDRNIxKJwGg0JnopZYJlWQQCAWg0GkFt12gRDAZBkmTMBDKQv7GP89Pq9XpBjvWOdh5yMBjE5cuXcfnyZb5C7PP5+O9LJBKkp6ejdu3aqFy5Mi+IhXCXSCqVwmKx8ENHCkubKAt5BbLRaBQF8v/TpEkTfPjhhxg7dixmzpyJSZMmJXpJIiJJhSiSo4zf78fy5ctx7do13HXXXWjTpk3Cw+8lEglq166N2rVr819TKpUYO3YsWrZsiV27duHPP//EH3/8gb/++gs+nw+dO3cGwzCYO3cuvF4v7rrrLtxzzz2oVq1aQqvNxU1fFDqBQAAMwySF97u0cJFvarU6LgMyuPHWXGd/KBRCWlqaYKrK0chDdrvduHDhAi5cuIBLly4hNzeX/55EIkFmZibq1auXr0IslOdfENzQkbzT+coraFmWhdfr5QVyKr63ysP999+PyZMnY/r06ahZs2aBw7xEREQKRrhH0yTE6/ViyZIlsNlsuO+++9C+fXu+s1uImEwmdOnSBU2aNOGrLxcvXkQkEkFmZiZomsaWLVtw5MgR/mdq1aqF1q1b4+mnn0bz5s2hUCggl8vjJppDoRAUCoVgt2lRcMNDVCqVoIVMWfH5fGBZtlxpFqUlb+IFFxcnhKpyWXzILMvCbrfjwoULuHjxIi5cuJDPR2wwGNC4cWNUq1YNVatWRWZmZlK+D7iUDLfbDZfLBZZlyyxsOYHs8/lEgVwEw4YNw7///os33ngDVatWxT333JPoJYmIJAWpd6ZOEC6XC0uWLIHT6UTXrl3RqlUrADfsAUK41VkYeYeIEASBGjVq8N+TyWT4/fffceLECezfvx+//vorfvrpJ6xYsQIDBgyA1+tFIBDAf//7X7Rt2xYdOnRAgwYNoFAoYiJQGIZBOBxO2kxNbtpjslpFioKiKPj9fuh0uoQIt5urylzjYKLeeyXJQ2YYho+H5IQx1zsA3PB033nnnahRowaqV6+OtLS0OK0+9hAEwTeuut1uMAwDnU5X6uMGFw+YLMk8iYIgCLzyyiu4dOkSnnvuOaxatQp16tRJ9LJERASP2LgXBRwOB5YsWQK3242HH34YLVq04L+XnZ0NjUYjWGHn9/vh8XiQlZVV4hPUpUuXeJ/jTz/9hPvvv5//XlZWFtq0aYN27dph1KhR/LCMaIhmLmc2IyMjKSuxdrsdDMPE1K+bKBwOB0iSREZGRsKfWyQSgcvlAk3TCakqF5aHzLIsHA4Hzp07h3PnzuHChQu8fYggCGRlZaF69eq8KK4Ioo/LwfZ6vaUeGOP1euH1emEwGEqcGlTR8fl8GDhwIAKBANasWZO0zc8iIvEi+ZSGwMjNzcWSJUvg9/vRq1cvNG3alP8ey7KgaVrQDVqRSKTUHuNq1arxn9933324evUq9uzZg927d+Onn37Cxo0bceTIEQwcOBBerxcHDx6E0+lE586dy+WZDIVCkMlkSSmQufGzyTqKuChCoRBCoVDC8n9vRqFQJMyrfLMPORwO499//8XZs2dx7tw5OJ1OADdsIlWqVOEFcbVq1ZLWZ18eCILghbHH4wHDMCWKRuSEtV6vFwVyKdDpdPj888/Rr18/PPPMM1i8eHHSRmmKiMSD5FMbAuL69etYunQpQqEQ+vTpc0sVm2EYABC0b5AkyXI3WVWqVAkDBgzAgAEDANy4cLh06RKysrIQiUSwePFibNy4EVKpFM2bN0enTp3QpUsXtGrVChqNpsR+zXA4nLTVNb/fD4lEknJZpVyqgEKhEJTI40Ykq1QqPgHDYDCUeH8rC1ylmBvdfP78eVy8eJE/DqSlpaFFixaoU6cObrvtNlGc5IGb1sd5lIu6mPT5fPB4PNDr9YK9QydkqlSpgs8++wxDhw7Fyy+/jA8++EAQF7ciIkJEFMll5OrVq/xo6P79+6N+/fq3PIY7OQq1kswwDCiKinolhhtKANzwis6aNQtdunTBt99+i507d+LQoUN49913MXXqVIwZMwYKhQKBQACVKlUqtNoXiUTAMIyghFhJYRgGgUCgTJ5LoRMIBEBRlGAnByoUClitVni9Xrjdbn5McTQvXAOBAM6dO4eTJ0/i33//5cc5y+VyPlWmTp06MJvNgtxGQoG7gOGq7QUJZc4eptPpxApyOWjatCneffddPP/886hTpw7Gjh2b6CWJiAgSUSSXgYsXL2LFihWgaRoDBw7MF62WF5qmAQi3kpy3aS+W1KxZE08//TSefvppkCSJvXv3Yvv27ejXrx/0ej2ys7NRv3591K9fH506dUKvXr1wzz33QKlU8ifJUCgEqVSalFaLQCAAACmX3cowDLxeLzQajaCbU/MmYHBVZaPRWK6qfm5uLk6ePInTp0/jypUr/NetViuaNWuGOnXqoHr16km5vyYS7jVxuVxwOp35LDx+vx9ut7vU3mWRgnnooYdw9uxZfPzxx6hbty46d+6c6CWJiAgOsXGvlPzzzz9YuXIlAGDQoEGoWbNmoY/lDuqVKlUS5AGd8/WVpmkvFly8eBEvv/wyvv/+e35aW1ZWFrp27Yr3338fGo2Gz99NtmQIlmWRk5MDhUIBk8mU6OVEFW6SXEZGhmAvBG+GYRi+osztTyW508OyLK5fv44TJ07g1KlT/H6qVCpRq1YtZGRkoFatWqhWrZog3+vJRigUgtPphEKh4MeRu1wuaLVaGAwGcRtHCYZh8Pzzz+Pnn3/GypUr0aBBg0QvSUREUIgiuRScOXMGa9asgVQqxeDBg/M1sBUEF5GWmZkZszWVB6fTCZqmYbVaE70UADcO2Pv378fGjRuxceNGGAwGbN++HeFwGDt27ABN0+jZsyesVqtgLSw3wyUdpKenC7raWlpIkuR9vsl42zsYDMLtdvM5xgX5g1mWxaVLl3Dy5EmcPHmSzyzWarVo0KABbr/9dtSoUQNOpxMMwyA9PT1p9stkIBwOw+FwgGVZsCwLnU4nCuQYEAgEMGjQIHg8Hqxdu1ZMvBARyYMokkvIyZMnsW7dOiiVSgwZMgSVK1cu9mdcLhdIkuT9uUIjJycHSqVSkNVZlmXhdruRlpYGp9OJnj174pdffoFSqcS9996LHj16oGfPnqhWrZqgq5hcxVEoFyLRgGtQo2lasF7kkkDTNFwuF98QajAYwDAM/v33X5w8eRJ///03P/LZaDTi9ttvx+23346qVavyYpirplsslrhMGaxouN1uZGdnQ6VSoUqVKoJ+ryczV69eRb9+/VCjRg189dVX4r4sIvL/iCK5BBw7dgwbNmyARqPB0KFDS1wZdjgcAACz2Rz1NZUXhmFw/fr1qIyFjTU5OTnIycnB7t27sXHjRvz00098tN5nn32GPn36QKVSQa1WC6qSF4lEYLPZYDKZUirVgquOm83mpGykzAvLsnC5XDh16hQ//jkUCgG4cWHDCeOCLEmF5SGLRAdu+yoUCpAkCblcDrPZLKj3eCpx+PBhDB06FI888gjeeuutpL34FRGJJmJXSTEcPXoUGzduhE6nw7Bhw0pVERTytL14Ne2VF4qiQFEU6tSpg8aNG+PZZ5+Fw+HAN998gw0bNqBDhw4AgNOnT2PixIno27cvevfuLYhb336/H1KpNOmFZF64yDelUpnUz4thGJw/fx5Hjx7FyZMn+feD1WpFy5Yt0aRJE2RkZBT68zfnIYtEF04gq9VqpKWlgSRJPlpPFMqxoXnz5pg2bRomT56MevXqYfjw4VH5vYFAANeuXcMff/yBzMxM3HbbbcVaFUVEhIIokovg+PHjvEAeMWJEqSvCDMMI9vYgSZIgCELw3fehUAgEQeTzjJrNZgwdOhRDhw7lv/bTTz9hz5492LlzJ1588UV07twZ/fr1Q48ePUo0nCDa0DSNUCiUcl34fr8fNE0npW+Ra747cuQIjh07xlspqlatioYNG6JevXqQSqUIBAKQy+VgGKZAMcayLJxOJ+9nTqXXVwhwTXucQCYIAgqFAhaLRRTKMebRRx/F6dOn8c4776BevXpo06ZNuX7f3r17MXv2bBw9ehQURQEA6tWrh1GjRqFHjx7RWLKISEwRtkJKIKdOncKGDRug1WoxfPjwUgtkoU/bi0QiURsXHUtCoVC+KLjC6N27N65du4Z169ZhxYoV2LJlC7Zs2YKOHTti+fLlvB1DoVDE5TmnYuwbTdPwer3QarWCv7jKi8vlwtGjR3HkyBHeI242m9GhQwfccccdt7y3lUol3G43cnNzYTKZbvFnejweUBQFi8Ui2Pd3ssIJZJVKdcsFiCiU48PEiRNx+vRpPP/881i/fj2qVq1a6t8RiUQwY8YMrFy5ElKpFE8++SQaNWoEiqLw7bff4pVXXkH9+vVRr169GDwDEZHokTxnujhy+vRprF27Fmq1GsOGDStT1Uzo0/ZIkhS8T5amaUQiEaSlpZXo8Varlc9jvnTpElatWoXbbrsNGo0GwWAQgwYNQtWqVTF06FC0adMmZkKPZVn4/X5oNJqUOol7vV5+jLDQCYfDOHHiBP766y9cuHABwI0Llrvuugt33HEHqlSpUujFklqthlwuh8vlgs1mg8FggFarBUEQCAaD8Pv9MBqNYnNTlAmHw3A6nVAqlYWOOBeFcuyRSqX44IMP0KdPHzz77LNYuXJlqc4Vubm5ePrpp3H8+HG0bdsWU6dOzReV2rBhQ+Tk5OCLL77AzJkzY/AMRESihyiSb+Ls2bNYs2YNlEolhg0bVuZkCiEPEmEYRtB+aQ6ugaos3tdq1arhpZde4v9PEATOnDmD7du348svv0Tjxo0xZMgQDB48GJUrV47qiTYYDIJhmJRq5opEIggEAiXOFU4EnM/4yJEjOHnyJCiKglQqRaNGjXDHHXegdu3aJX4/ymQyWCwWeL1eeDwehMNh6HQ60YccI7i4t6IEMocolGNPWloaPv30Uzz22GOYMmUKZs6cWaI7cJcvX8a4ceNw8uRJjBw5kj8Gc3dVCYJAzZo1oVAo+MmKLMsK/o6mSMVFFMl5+Oeff7B69WrI5XIMGzasyMad4hDySOpIJAJA+E17nNUiGttQr9fj9OnT2L9/PxYsWIDVq1dj8uTJmDZtGg4fPgyr1QqNRlNuOwZXRVapVEllSSgKrllPLpcLUhy6XC78/vvv+PPPP3mfcfXq1XHHHXegUaNGZW4wJAgCBoMBSqUSTqcTly9fLtAGIFI+OIHMDdwpyba9WShbLBbxNYkyDRo0wPTp0/HCCy+gcePGePzxx4v9mQULFuDUqVOYMmUKhgwZAuCGQJZKpWAYBgRBgKIoOBwOwc4PEBHJS2qcxaPAhQsXeP/U0KFDkZWVVa7fx1WShSiSSZKERCIRZJWbg2EYhMPhqGY4EwSB1q1bo3Xr1vjoo4+wbt06nD59GllZWQgGg5g7dy6ys7MxYsQI1K1bt0zbJxKJgCRJGAyGqK070QSDQUQiEUEJEYZhcPbsWRw6dAhnzpwBcKP6VZjPuDwolUoolUr4/X4wDAO/3w+dTieYbZHMRCIRXiCbzeZSbdOCKsriaxJdunXrhmPHjuG9995DgwYNimzkO3LkCNavX4+HH34YgwYNAvC/5nWWZflz4TvvvIOzZ89i/PjxACC+ZiKCRhTJAC5duoTly5eDIIgSDwopDu7gIMQDAJc5KsS1cZTHalESuIZMDp1Oh02bNmHPnj14//330aFDBwwbNgx9+vQplSDy+/2QyWQp41dlGAZerxcqlarAqXTxxuv14vDhw/j999/h8XhAEATq16+Pli1bonbt2jHZp4PBIILBIDIzM/ntwXnlhXyhKXQikQjsdjuff1yW144T1w6HA06ns8SVaJGSM2HCBJw6darYRj6/3w+SJNGxY0dIJBLkHcFAEAQcDgfmz5+PFStWoGPHjmjevHm8noKISJmp8CL5ypUrWL58OQBg8ODBZerkLQghJ1skQ9NeKBSCXC6PmwghCAI7duzA9u3bMX/+fGzbtg27du3ChAkTsGTJEnTo0KHYRjyKohAKhVLqdrzP5wPDMAmtjLMsi3/++QeHDh3CqVOnwLIs9Ho9OnTogDvvvDOma8ubh8w173H2C25QTKpcEMWTaAhkDqVSKQrlGCKVSjFr1iy+kW/VqlUFFi9omkZaWhrC4TCAG8dU7nU4duwYli5diq+//hoNGzbEK6+8klJTSEVSlwotkq9du4Zly5aBpmkMHjwY1atXj9rvFmpGMk3Tgm/aY1mWb5SKJ3K5HD179kTPnj1x7do1LFmyBGvXrsUdd9wBr9eLU6dO4dKlS+jWrVuB3mW/3w+JRCL4C5CSQlEU/H5/wiLfAoEA/vzzT/z+++/89MratWujZcuWqFevXswvQgvLQ1YqlUhPT4fT6YTdbofBYIBGoxGFWQkhSRIOhyOqE/S4hj+HwwGXy5VSF6pCgGvk69+/P9544w1Mnz79lu3brl07WK1WbNmyBbVq1ULDhg3BMAy++uorbNq0CefPn0f37t35JsDCcshFRIREhR1LnZ2djcWLF4MkSQwcOBC1atWK6ppyc3Mhl8tLHF8WL0KhEN80IUQRD/xvjenp6YIR8zRN48UXX8Ts2bNRt25djBw5EiNGjEBGRgZ/wM/OzoZWq00ZP7LD4QBJknGdXsiyLC5duoRDhw7hxIkToGkaGo0GzZs3x5133hnXEe9utxuBQAAWi6XAajHX0Oj3+6FWqwWd/CEUuMl5Uqk0JjnT3KQ+jUaTkCFCqc7GjRsxefJkvPXWW+jXr98t3z9z5gxGjRoFiqJgMpmQm5sLl8uF9PR0jB8/Hn379gVw4wI8VRqbRVKbCrmX5uTkYMmSJYhEInjssceiLpCBG6JKiGN7uaY9IZ/MQ6EQZDKZoA6iUqkUzz33HGQyGRYuXMifKAYMGIDnnnsONWvWBMuyKRP7Fg6HeetIPPYVmqZx/Phx7Nu3D9euXQMA1KhRAy1btkSDBg3ivi+UJA+ZIAj++y6XCyRJwmw2C2q/FRKxFsgA+Ls43B0Ag8EgCuUo8uijj+Lw4cN48803cfvtt6Nx48b5vl+3bl3MmTMH+/btw2+//Ya77roLtWvXRqdOnfhmeIZhbnmPcDFwYhyciNCocJVkh8OBRYsWIRAIYMCAATGZ+MOyLK5duwaj0Sg40WS32wFAsGOFWZZFdnY2NBqNYCuyfr8fK1aswOzZs3Hs2DEsXLgQ7dq1g1KpREZGhiAvjkoDy7Kw2WwgCCLmiRbBYBC///47Dhw4AK/XC7lcjqZNm+Luu+8uc0Z5eaEoCjabrVSRZCRJwul0gqZpmEympN8Hog23TWMpkPMSCATgcrmg0+kEexxJVsLhMAYNGgSn04kNGzaU+G4pFwFX3PvJ5/PF3WonIlIYwi0nxgCv14ulS5fC7/ejT58+MRuJKdRpeyzLgiRJQTcaRSIRMAwjaJGh1WoxatQoHDlyBHv27EHfvn0hl8vx559/okGDBnjnnXdgt9uRrNefgUCAj7GLlUB2Op3Yvn07PvzwQ/z4448AgE6dOuGFF15A9+7dEyaQC/MhF4dcLofVaoVSqYTD4YDX603a1z/aUBQFu90OiUQSt8Ef3EW2z+fjs7NFooNSqcTHH38Mv9+PSZMm8ee7myFJkv88Eonww0QKIhgMYvXq1Rg1ahS6dOmCd999F3/88UdM1i8iUhoqjEgOhUJYvnw5XC4XHn74YTRs2DBmf0uo0/YYhgHDMILx+RZEKBSCVCoV9Bo5CILAvffeyzcZhsNh+P1+vPzyy6hbty4mTZqECxcuJJVY4iLO1Gp1TC6mLl++jLVr1+KTTz7BgQMHYDab0atXL4wfPx7t2rVLeNOjx+Ph/ZSlFXMSiQQmkwl6vR5erxdOp7NQAVFR4AQyd1cinsdEnU4HnU7H+8ZFokfVqlXx/vvvY8+ePfj8888LfAx3DJ8+fToWLFiQ7zjIfc79e/ToUXz44Yc4f/48GjZsiJ07d2Ly5Mk4ffp0jJ+JiEjRVAiRTJIkVq5ciezsbHTq1Al33nlnTP+eUKftCX3SHsuy/JS9ZPGlkSSJSCQCrVaLfv364cKFC5g7dy7S0tIwc+ZMNGjQALNnz4bX600KwcRVQKN5i5phGJw6dQqLFi3CggULcOLECdSuXRtDhw7FU089haZNmwrigpLzIRsMhjJfIBAEAb1eD7PZjEgkApvNBoqiorzS5CCRAplDr9dDq9XC7XYjGAzG/e+nMu3bt8czzzyD2bNn49dffy3wMfv378eSJUswe/Zs5OTkgGVZ3nYB/G+QyK5du+ByufDxxx9j/vz5eO+991CtWjW8+OKLcXs+IiIFISwVFwNomsa6detw8eJFtG7dGm3bto3L3wSEJ5JJkoRUKhWEICkIiqJA03TCq4mlwe/3QyqV8vYQjUaDMWPG4PTp01i9ejUaNmyIZs2awefz4erVq/jll1/4/UNocJFvOp0uKvsISZI4dOgQPv30U6xevRqXL19Gs2bNMGbMGAwePBi1atUSzMVQ3jzkaIzeVqlUfA5sbm4uPxynokDTdMIFMvC/0eJqtRpOp7PCvQ6xZuzYsWjbti0mTJiA7OzsW77fqlUrPPfcc9i4cSMyMzNBEAQkEgmuXLmCr776Cu+//z527tyJs2fPolq1avyE1aZNm+Lxxx+Hz+fD4sWL4/20RER4UroNm2VZbNmyBadPn0bTpk3RpUuXuJyUhTptj5u0J1RCoRAkEomgPdN5oWkawWAQer3+ltdaJpOhf//+6NevHwiCAE3TWL58OYYPH4727dvj+eefR/fu3QX1XN1uN6RSabmbZiKRCA4dOoTffvsNfr8fKpUK7dq1w9133w29Xh+l1UaPsvqQi0Mmk8FqtcLlcsHhcECv11eIcdacQAaQUIHMwb2u3OtsNpsFMT0yFZBKpXj//ffRq1cvvPjii1i8ePEtyRVjx44F8L/Yt3379uH111/Hv//+C4PBAJqmkZubi0uXLuHcuXOoVq0aAKB+/fqgaZpPuxERSQTCKnVGEZZl8f333+Ovv/5CvXr10KNHj7idnIQ4bY9r2hO6SE4mq0UgEACAIiuP3HORSqVo2bIlBg4ciF9//RW9e/dGixYtsGDBAkFUt0KhEMLhcLma9SKRCH799Vd8/PHH+OGHHyCRSPDggw/ihRdeQKdOnQQpkIHy+ZCL42afssvlSiqPemnhBDLLsoIQyBwEQcBkMkEul8PpdOZrKhMpH2azGbNmzcLhw4fxySefFPo4mUwGhmGwdu1a/PvvvxgxYgQOHDiAyZMn47333kPnzp0xZcoU/PXXXyBJEjabrULehRERFsJSclHk119/xb59+1C9enX07ds3rgdrmqYFc3LgoGla0E17FEWBJElBp1rkhWVZfohESYVVw4YNsWLFCpw9exbPPvsszp07hyeffBKvvfYaHA4H7xmPN9xQDKVSWabtHw6H8csvv+Djjz/Gjh07IJPJ0K1bNzz33HNo3bq1oKrlNxMNH3JxcD5lk8mEUCgEm80mWMtNebhZIAstL5ogCJjNZkilUjgcjgrrFY8FLVu2xLPPPot58+Zhz549hT7O6XRix44duPvuuzF58mT+6/Xq1cPYsWNB0zQmTZqELl264NFHH4XRaMQDDzwQj6cgIlIgwjqKRYk//vgDP/74IzIzMzFw4MC4C0MhilGuciK0dXGEQiEQBJE0t0GDwSAYhilTDnbNmjXxySef4LXXXsOHH36IkSNHgqIoXLhwAXv27MHgwYPjerHg9/v5SmppqsjhcBgHDhzA3r17EQwGYTQa0b17dzRr1kxwAqkgou1DLg61Wg2ZTAaHwwGbzQaTySToC4jSIHSBzMHF0NlsNjgcDkFVu5MVlmURCATQpUsXLF++HM899xy+++47ZGZm3vJYhUKBKlWq5Os74YpK1apVg0qlQv/+/SGVShEIBHDbbbehXbt28Xw6IiL5EOaRrBycPHkSW7duhclkirvY4BDitD2hN+1xVguh2VQKgqsiK5XKcl10WK1WvP322/zvnD9/Pl555RW89957mDRpUlz2X5qm4fP5oNVqS/xcQqEQ9u/fj3379vFT+Tp16oRmzZoJdv+6mVj5kIuDy1N2Op2w2+1IS0tLqkbVgmAYBg6HAwzDwGq1ClYgc3ADTfIK5WQ47ggRhmHgdrtx8uRJvPnmm/D5fFAoFJg4cSIWLVp0y76g1+tRr149XLlyBWfPnkWdOnX4Y4bdbkdubi7kcjmGDRuW7+fESXwiiSKljgxXrlzB+vXrodFoMGTIkIR4ILmIG6GJhUgkItgqMk3TiEQigruwKAySJEGSZFSnKRIEgdGjR2Py5Mm4cuUKnnzySTRr1izmnmWv1wsAJXqvhEIh7N69Gx999BF2794NtVqNnj174tlnn0WLFi0Et88XRSx9yMXBiTSVSgWn05nUg0cYhoHdbgdN04KuIN+MTCaDxWIBRVFwOp1Ju/0TCecb3rRpE8aMGQOZTIb169dj7ty5OHToEObMmVPgz40bNw5///03li9fjlOnTgEADhw4gP/+978AgGbNmt3yM6JAFkkUyXFEKyHff/89rFYrhgwZArPZnJA1CDEjmWvaE2rjVDgcBoCksVr4fD7IZLKor9dqtWLGjBmYMGECZs6ciTlz5uDJJ5+E2+3GiBEjoNfro3qhQ5IkAoEADAZDkftrOBzG3r17sW/fPoTDYZjNZnTt2hVNmjRJKmHMwfmQjUZjwuwOXAVbJpPB6/WCoqi4VrSjwc0CWagX4YUhl8thNpvhcDjgcrmSbvsnCs5ekZOTg9mzZ2Pbtm3o06cPpk6dyt8VGT9+PD766CPcddddt8Su1q5dG6+++iree+89fPPNN6hatSrOnTuHcDiMxx9/HHfccUcinpaISIEQbApcQu/duxcjRoxA9+7dMX78eNSoUSNha+EGCKSnpwvmpEFRFHJycmCxWAQpRPPeqhU63LY0Go1RrSQXhM1mw5w5czBu3DjQNI0LFy7g1KlTeOyxx8q9b7EsC7vdDoZhkJ6eXqA4oGkav//+O3766ScEAgGYzWa0b98eTZo0EdRFYGmgKAo2mw0KhaLUHuxYEQwG4XK5eNGWDNuWs1hQFJWUAjkvwWAQTqcTOp0uqkN0UhHOXhEMBiGVSvHCCy+gf//+6NWr1y2PGzVqFE6dOoXNmzfDYrHc8rt27NiBH3/8EadOnUJaWhr69u2L7t27AxDtFSLCIelFMsMwmDZtGlasWIFZs2bxb7JEEQqF4HA4kJmZKZgqWyAQgMvlQlZWluBOwAzDIDs7m8+QFToejweBQAAZGRlx3ZYsy2LMmDGYN28eWrZsiWnTpqFz585l3sc4YWA2m2+xubAsi+PHj2Pnzp1wOp3Q6/Xo0KEDmjdvLrj9pzSwLAubzcZfGAjpuUQiETgcDr6xTMi2hbwC2Ww2p0Tzoc/ng8fjicvFb7JCkiScTidomua99EWJ2dzcXDzyyCNo1KgR5s2bV+j7LRKJgGEY/jgkCmQRISGcs0QZkUgk/O2cmjVrJnYxEOa0PZIkIZPJBLUmjnA4DJZlk8KPzDAMAoEANBpN3LclQRB4/fXX8fTTT+Pw4cN46KGH0L17dxw8eLDU4665yDeVSnXLdj9//jy+/PJLrF+/HoFAAJ06dcK4cePQokULQe4/pSGRPuTiUCgU/J0Um83GW5CEBieQSZJMGYEMADqdjh9fLeby5odrVLbZbCAIAunp6bytoigxm56ejhkzZmDPnj1YsmRJoY9TKBRQqVS8L1wUyCJCQlhnijJSqVKlRC+Bh4uzEdIbXchDREKhEORyuaArZxzliX2LBllZWfjss89w4sQJ9OnTB9999x1at26N77//Hj6fr8TNRz6fDzRN57u1fPXqVSxduhRLly5FTk4O2rRpg+eeew7t2rUT7L5TGuKRh1xeuAl9crkcDocDwWAw0UvKB5cIQpIkLBaLYLdjWTEYDHwzZaIyy4UGwzBwuVxwu91Qq9WlTi/p0KEDRowYgZkzZ+LEiRNFPlZI50wREQ7hK5Mkg2EYQVWpuKY9IVZqWZZFOBxOitubeYeHJNpGU69ePaxbtw779+/HkiVL0KpVK3g8Hvz999+oXLkysrKyCj3h5I184zJ7d+3ahWPHjgEAmjZtivvuuw9paWlxfEaxJd55yOWBs1u4XC7+1rZWq024gGBZlh94k0oV5LxwU/nsdjscDkdSxNnFkrz2CpPJVOaowgkTJuDAgQN48cUXsWHDBsG/B0VE8iIcNZciCG3aHkVRYFlWkNXAm71oQiYcDoOiKEEJ+latWuHTTz+FyWRCRkYGXnrpJTRq1AjTp0+Hx+Mp8Gc8Hg8IgoBEIsG2bdvw6aef4tixY6hbty6efvpp9OrVK6UEcqLykMsDt1adTgePxwOPx5PQiLKbBbIQm3+jBTeVTyKRwOFwpORkxOIoyl5RFhQKBT744ANcv36dz4UXEUkWRJEcZYSWkSzkSXtch3QyVGv8fj/kcrkgtyNwI3t3yJAh0Gg0mDJlCpo0aYL58+fzrz9w46LE5/PhxIkTmDNnDg4ePIjKlStjxIgRGDRoUIETspIdIfuQi4IgCBgMBhiNRvj9/oRl+XIXGRVBIHNw1XyGYSpchnJ57RWFUatWLUyZMgXr1q3Dtm3borBSEZH4kDxnjSSBpmlBnYyF2rTHWS1UKpXgq3skSSIcDkOn0wl2rQRB4IknnsCZM2cwY8YMuN1ujBo1Cu3atcP169dB0zT++usvrF+/Hj///DN0Oh369++PJ554IqGRibEkGXzIxaHVamE2mxEOh/nIvnjBCeRwOAyTyVQhBDKHTCaD2WwGSZJwuVwVQihzw0FCoRBMJlPU77z06dMHDz30EF599VVcuXIlar9XRCSWCEs5JTlCnLYn1El7JEkKcnx3Qfj9fkil0qRYq1qtxuTJk3Hu3DmMGTMG1atXh9PpxFdffYVt27bxiRVjxozB7bffLljRX16SyYdcHCqVip8OZ7PZ4mIBYFkWLpeLF0zJsO9HG4VCgbS0NASDQfh8vkQvJ2ZE215RGARB4M0334ROp8PkyZMrpJVFJPkQRXIUEdq0PZZlQVGUIKtooVAIEolEkGvLC8MwCAaD0Gg0SSUoLRYLPvzwQ4waNQrr1q3D5cuXcfnyZQBA8+bNk8LiUlaS0YdcHFxEHJf1TFFUzP4WJ5CDwWCFFcgcarUaer0eXq8XgUAg0cuJOrGyVxSGwWDAu+++i4MHD2LRokUx+zsiItFCGGouReCujIVSSSZJUpBNeyzLIhQKJYXVwu/3A4CgGvaKg2VZ/PXXX5gzZw727t0Lq9WKli1b4ttvv8Urr7yCFi1aYNOmTSlbyUlWH3JxcBFxBEHAZrPFJKaMZVl+olp5Eg1SCZ1OB41GA7fbLdj86rIQa3tFYbRq1QqPP/44PvroI5w6dSrmf09EpDykzhlEAAhRJAPCa9qjKAoURQm+QsWyLAKBANRqddKIratXr2LhwoXYtGkTGIZBt27d0LNnT7Rv3x5///03pk6digsXLuDRRx9Fz549cezYsZTyW6aCD7kopFIpX+2z2+1RHXzBCeRAIMBPVBO5YRMwGo2Qy+VwOp0xreLHg3jZK4rihRdeQK1atTBx4sSUuvAQST2S48yfJDAMA4IgBFMd5YaICGU9HKFQCARBCL4RKBQK8Tm1Qsfv92Pz5s348ssvceXKFdx999149tlnUbt2bchkMmi1Wmg0Grz55ps4efIkevfujW3btmHOnDnIzc1NiRNVKvmQi0IikcBisUCpVEZt6Ag3hZETyKm8/crCzdFw8WygjCbxtlcUhkKhwMyZM3HhwgV88MEHcf/7IiIlJXWNiQmAS7YQiigV6qS9UCgEpVIpmO1UGD6fD0qlUpDbkINlWRw6dAg7d+5EKBRCzZo10bVrV2RmZiIcDvO3UvNWwmvWrIn169dj586daNKkCQiCwKVLl/DHH3+gT58+grkTUhpS0YdcFNzgC7fbDafTWa5JkJxA9vv9okAuAi4azmazwel0wmw2J9V+Fq3hINGiXr16mDBhAmbMmIH77rsP99xzT0LXIyJSEGWqJM+bNw/PPfccOnbsiPr16+ORRx4p9LEMw+Crr75C165d0bhxY3To0AHvvvtugdWP0jxWiAgp2YKbtCc0gUfTNEiSTPgBujgikQhIkhR0FTknJweLFi3Ctm3boFAo0LdvXwwbNgyZmZm88FEoFIXaWjp27Ij09HRYLBbMmzcPAwYMQK9evXDmzJmks2Ckqg+5KDgbgFarhdvtLlMCA8uy8Hq98Pv9MBqNokAuBplMBpPJhHA4XOjAHqEhBHtFYQwbNgxt2rTB5MmT4XK5Er0cEZFbKNPZZNasWdi/fz9uu+22Yg+q06dPx4wZM1CnTh28+uqr6Nq1K5YsWYKxY8feciIuzWOFiJAykoXqR+Y8lEK3Wvj9fshkMkGuk6Io7Ny5E/PmzcOlS5fQqlUrjB07Fo0aNeIrW4FAACRJwmAwFFvtIggCL7zwAnr37o2tW7eiRYsWeO+995Lm4jTVfchFwQ0d0ev1pZ7Oxwlkn8/Hi22R4lEqlfyQF6EnXgjFXlEYEokE77zzDoLBIN54441EL0dE5BbK9G7ZsWMHqlWrBuBGNaowzpw5g2XLlqFLly745JNP+K9XrVoVb731FrZv345u3bqV+rFChWEYwZykSZIEQRCCFMlKpVIwFxMFQdM0gsEgjEaj4G6n/vvvv9i6dSvsdjsyMzPRo0cPVKlSJd9jGIaB1+uFRqMp8f5YuXJlrF+/Hlu2bMEzzzyDyZMnY/Xq1VixYgXq1asn2NeroviQi4IgCOj1ehAEwYvkklwc+Xw++Hw+GAwGUSCXEo1GA5Ik4Xa7IZPJBHPcz4vQ7BWFkZWVhddeew0TJkxAly5d8NBDDyV6SSIiPGU683ECuTi2bt0KlmUxfPjwfF/v378/1Go1Nm/eXKbHChUhVZIjkQhkMpmgRB7DMPyUPSHj9/tBEISgTirBYBCbN2/G4sWL4Xa70alTJ4waNeoWgQwAXq8XLMtCr9eX+u/06NEDJ06cwPjx4xGJRKBWq5GbmxvVFIVoUdF8yMWh0+mQlpYGv99f7JQ4r9cLr9cLg8EAnU4Xx1WmBnkTLxwOh6ASL4RsryiM7t2748EHH8Trr78Om82W6OWIiPDEVNEdO3YMEokEd9xxR76vK5VKNGjQAMeOHSvTY4WI0KbtkSQpuOoGJ7SELJK52DeNRiOICx6WZXHs2DF8+umnOHz4MGrVqoUxY8agXbt2Be5rJEnC7/dDr9eXeV/U6XT46KOP8Pvvv6NKlSqQyWT4z3/+g/Xr1wsqW7ki+pCLQ6PRwGQyIRgMwul0FiiUfT4fvF4v9Hq9KJDLAZd4QRAE3zyZaIRurygMgiDw+uuvQyKR4NVXX00Ke6VIxSCmZ5acnByYTKYCxVpmZiZyc3P5k25pHitEhJSRzDAMKIoSpNVCoVAIYhsVRiAQKFdSQDRxuVxYsWIF1q9fD4Zh0KtXLwwZMgRms7nAx3PNelzkW3lRKpWQyWQIh8NYuHAh+vbti379+uHff/9N+EmsIvuQi0OtVsNsNiMcDt8ilH0+HzweD/R6fZnuNIjkh0u8oCiq2Op9rEnUcJBoYTab8cYbb+DHH3/E119/nejliIgAiLFIDgaDhZ7AuIYorrpYmscKESGNpBZi0x7LsoK3WnC3KVUqVUKrLwzDYO/evZg7dy7Onj2LO+64A8888wyaNm1a5EkvHA4jHA6XyI9aGipXrozjx4/j4YcfxsaNG9G8eXN8+eWXCbvFLPqQi0elUvEpDA6HAyzL8gJZp9OJFeQoIpfLkZaWhlAoxE/ojCfJaK8ojC5duqBHjx546623kJ2dnejliIjENidZrVbDbrcX+D1ueAEnmkrz2JvhTtYnT57kB1VwEAQBq9WKjIwM/uvcwI+bP8qDkCrJXNOekG6zhcNhsCwraJEciURAURSMRmPC1mC327Fp0yZcvnwZJpMJ3bt3R+3atYv9Oa6KrFQqY5LIUb16dWzevBkbNmzA2LFj8dRTT+HkyZN46623oNFo4laxEn3IJUelUsFsNsPhcODatWu8T51r8hOJHmq1GiRJ8ndy4nWcYxiGHyOu0WgE2WxcWqZOnYp9+/bhlVdewZdffpn0z0ckuYmpisrIyMDZs2cRiURuqRJnZ2cjPT2dF5WleezNRCIRAMArr7xS4PeHDx+OESNGFLlWgiD4QSAF/VvQh1Qq5d/AQpq2J8RJe6FQCDKZTFDC/WZ8Ph/kcnlCbt+zLIsDBw5gx44doCgKrVu3RseOHUt8N8Dv9/P+3Fi97gRBoE+fPmjfvj3Gjx+PAQMGwO12IxQKwWg0xuW15XzIFotFEHdthI5SqYRarUZOTg7UajW0Wq2gjguphF6vB0mScLlccfECJ0t6RWkxGo14++23MXr0aKxduxb9+/dP9JJEKjAxfRc3btwYv/zyC44cOYKWLVvyXw+Hwzh16hRat25dpsfeDHdweP/991GrVi0AyOcNS09Ph9Vq5b/Gsmy+D4ZhbvmcYZhbPgrymxEEAalUinA4DIqi4PF4IJVK833EewofSZKCyvdlWRahUEjQt8YpikI4HE5IddLtduPrr7/GP//8g7S0NPTq1Qs1atQo8c/TNA2v1wutVhsXi016ejpWrFgB4Mb7c+nSpdi6dSs++eQTVK1aNWbbj/MhG41G0YdcQgKBAAKBACwWCyKRCD8pTrzAiD7cFESbzQaHwwGr1RqT7cw1F3NV6/T0dEEXH8pChw4d0LdvX8yYMQNt27YtMMVHRCQexPSd1a1bN8ybNw+LFy/OJ3zXrFmDYDCIHj16lOmxN8OdlGvXro1GjRrF4Jnc4GbxTNM0/3kkEgFBEAiHw6Bp+hZBnVc0y2SyfP9GU0RzTXtC8hxGIhEwDCNoq4Xf74dEIolrNYZlWfz111/49ttvEQ6Hceedd6JLly6lvsDxer18Vm68USqV2Lt3L77++mv89ttvmDVrFgYOHBh125HoQy49gUAALpeLvw1PkiTsdjscDocolGOERCLhhbLb7Y76RXcq2isK4+WXX8Yvv/yCV199FfPnz0/Z5ykibMokkjdt2oSrV68CuHGCjkQimDt3LoAbTT69evUCANSvXx+DBw/GsmXL8Oyzz6JDhw44d+4cli5ditatW+cbDlKaxyYKrmpcWPQWFwkEgBfRBX2Ew+F8cUGcf7igj9IeGITYtBcKhSCVSgW1prwwDINAIACdThe3A7HP58PWrVvx999/Q6fToU+fPqhbt26pfw9JkggEAjAajQkTPfPnz8f999+PcePGYejQodi8eTM+/PBDVK5cOSrbU/Qhl55gMJhPIBMEAYVCAYvFIgrlGMM18jmdTsjl8qgVLFLVXlEYOp0Ob775JkaPHo2NGzeid+/eiV6SSAWEYMuQWTN06FAcOHCgwO/dfffdWLp0Kf9/mqaxePFirF69GleuXIHZbEb37t0xbty4WypCpXlsXo4fP47evXtjw4YNMa0kF0VOTg4/rrQkcCKaoij+X+4jr4DOK5jlcnmx4pnLQM3KyhKEmGBZFjk5OVCpVAltiCsKbptlZGTEpfHyxIkT+OabbxAIBNCkSRM89NBDZTrhsSwLu90OhmGQnp6e8Nf7ypUrePLJJ/Htt9+iVq1a2LdvX1S8w263m7cMiDaL4uEyktVqdYEXFZFIBHa7HXK5XBTKMcTj8cDn88FisZTL/nazvcJkMqWcvaIoXnrpJezevRvffPMNMjIyEr0ckQpGmUSy0BCCSL5+/Tq0Wm1UbnlzlgmKokCSJP85l6DBVZ450SyXyyGXyyGRSOBwOMAwDKxWa7nXEQ1IkkRubm65TxSxghPxSqUSaWlpMf1boVAI27dvx5EjR6BWq/Hwww+jYcOGZf59nBgS0rZlWRaLFi1CJBJBr169+MlkZbXacM/RaDQKIrta6IRCITgcjkIFMocolGMPy7JwOBwgSbLIxvOiqEj2isJwOp3o3r07mjdvjjlz5lS45y+SWCrO5WgMifa0PYlEAoVCcUvVjGEYXjSTJAmSJBEMBnn/s0wmg9/vh0ajQTgc5oVzIgmFQvzzESKhUAg0TcdcgJ0/fx5ff/01PB4P6tWrhx49epTrNiwX+aZSqQQjkIEbF3BPPPEEgBt3hrh85VmzZqFdu3alOsGJPuTSEQqFiqwg50W0XsQezh5ks9n4i9nS7P8VzV5RGCaTCa+++irGjx+P7du3C8J6KVJxEEVyFIhXRrJEIrklB5dlWV40c02D4XCYz5zmqsyc6M4bWxcPgsEglEqlYK/+/X4/FApFzPzSNE1j165d+PXXX6FQKNCjRw80b9683NvD5/OBYRgYDIYorTT6SKVSnDx5En/++SceeOABTJkyBf/5z39KdMEk+pBLByeQuTsiJdleeYUyl3ohbufoIpVKYTKZYLfb4fF4SmQ5qwjpFaWla9euePDBBzFt2jS0bt260KmjIiLRRiwdRIFETtsjCAJyuRwajQZqtRoajQaVKlVCeno6jEYj5HI5IpEIXC4XcnJykJ2dDYfDAZ/Ph0gkEtMxqpxNRKipFpFIBJFIJGZJIC6XC1999RV+/fVXVK5cGU899RTuvPPOqAyu8fl80Gq1gj95DhgwAHv37kX16tXx6quv4qGHHsL58+eL3e+4PGSTySRWOIuBGz+tVCpLnZOtUChgNpsRiUT4yXwi0UWhUMBgMMDv9yMYDBb5WIZh4HK54Ha7oVar45K3nCxMnToVNE3j7bffTvRSRCoQ4tknCghl2h5JkpBIJLxPWavVIi0tDRkZGcjKyoLFYoFWqwXLsvB6vbDZbLh+/Trsdju8Xi8/FS9acNMPhWQHyIvf74dUKo3J+k6cOIF58+bh8uXLaNOmDZ544omoVT88Hg8IghBUzF9RtGzZEocPH8aIESOwc+dOtG7dGseOHcvXoJoXLg/ZYDAI1qYjFLix0wqFosyDZJRKJS+UnU6nKJRjAFfEcLlcfALRzZAkCZvNhlAoBJPJJN5BuYn09HT897//xdatW7Fr165EL0ekgiBeokYBoUzbK2rS3s1WDZZlQZIkX031+/183i5nzVAqleWa3BcKhaBUKgVZCaRpGqFQKOojekmSxPfff49Dhw5Bo9Fg0KBBZYp2K4xIJIJgMIi0tDRBbtfC0Ol0WLRoER588EF88803sFqtyM3NRVpaWr6LFNGHXHLyCuTyWiW4KrTT6YTL5RIFWpThGlg5n3HeQSOivaLkPPLII9iyZQvefPNN3H333WIzr0jMSZ6zrIChaTruU/UKghPJJYETwzqdDmazGZmZmUhPT+dFo8/ng81m4+0Z3NjjkkLTNCKRiGCtFn6/HwCiKsRyc3OxYMECHDp0CDVr1sTTTz8dVYHMsizcbjfkcnnSNvE89thjWLp0KTIyMkAQBMaMGYM//viDn3gp+pBLBmePiIZA5lCpVEhLS0MwGITb7RYrylFGIpHAbDaDpml4PB4Aor2itBAEgddffx0OhwOzZ89O9HJEKgDiuzEK0DSdcKsFN6ikrA1onLeZ+3mu0hwOhxEOh+F2uwHcSNDgKtJFNeSFQiEAEKTVgqvcaDSaqFRjWZbFn3/+ie3bt4OiKNx///1o165d1Cu9wWAQJEnCarUmvYDkmvoWL16MVatWYfr06Rg2bBgoiopKtnIqkze+rawWi8LgLr64ixWDwZD0+5qQkMlkMBqNcLlckEgkfLpORU6vKC3VqlXDuHHj8MEHH6BHjx5o3LhxopckksKIZ6IowDBMwk/qnM8tWh5OrtKs1+thtVqRlZUFs9kMhULBZ7Fyfma/38/7sjlCoRCfpiE0gsEgGIaJyq26cDiMjRs3YvPmzVCr1Rg+fDjat28f9f2BYRh4PB6o1eqU8el26NABu3btgtlsxgsvvICRI0eCYZiUeX6xgKsgxzLfWK1Ww2g0wu/3w+fzRf33V3TUajUkEgmuX7/ODwISBXLpGDFiBOrXr4+pU6eW6g6niEhpEUVyFBBCJZlr2ouVWJdIJPzt2IyMDN6awVkAsrOzkZubyzcAhsNhQVotWJaF3++HSqUq923Nq1ev4osvvsDRo0dRv359PPXUU6hRo0aUVpofn88HlmUFHflWFtq3b48//vgDnTp1wqZNm9C5c2ccOXJEvNVfACRJwuFwQCaTxTzXWKvVwmAwwOv1ikI5inD2Cpqm+X6NRBdYkhGZTIY333wTp06dwpIlSxK9HJEURnx3RoFoDhIpK5FIpFxNdqWBs2bodDq+ysyNSvX7/bh+/Tr8fj/fFCgkwROJRECSZLmqyCzL4vfff8fChQvhdrvRtWtXDBgwIGaNZhRFwe/3Q6fTJXw/izYsy4IgCCxduhTTpk2D3+8HQRBwOBy33J2oyJAkCbvdDqlUGrfBHzqdDjqdDh6PB4FAIOZ/L9XJm15hNptRuXLlfP5kkdJxxx13YMiQIZg9ezYuX76c6OWIpCiiSC4n3LS9RFYDOP9wom5TSyQSqNVqmEwmZGZmQq1WQ6lU8ieF7OxsuFyuqEfMlQW/3w+ZTFbmbUVRFDZv3oytW7dCr9dj5MiRaNWqVUwvTjweDyQSSdJEvpUGLg/ZYrFgypQpOHHiBOrVqweSJLFlyxa+wbIik1cgx9uvrdfrodVq4XK5is34FSkY7u6VzWYDQRC8vUIul8NoNCIQCIgXIWVk/PjxSEtLw+uvv57wc4tIaiKK5HIihIxkhmHAMEzMpsaVFq4RJSMjA1arlR+TbbfbkZ2dDbfbnRDBTFEUQqEQdDpdmUSt2+3GokWL8Oeff6J27doYPXo0KlWqFIOV/o9wOIxQKJSSDVQF5SFrtVoolUpcvHgR/fr1Q6dOnXDu3LkKewKkKCphAhkA37zHZfyGw+G4/v1kp7j0Co1GA41GA7fbLXpry4BOp8Orr76Kn3/+Gdu3b0/0ckRSEFEkl5NETtvjiEQiACAIkcyJX5VKxTf/GQyGfII5FArBbrcjJycHbrc7bpYMv9/PV71Ly/nz5/HFF1/g6tWruPfeezFo0KCYN9twfm+FQiFIf3d5KC4PuVmzZhg7diz279+PNm3a4Jtvvil0+EiqwglkLjosUccYLpJPoVDA4XAUOgxDJD8lHQ5iMBgglUrFQS5lpGPHjujSpQumT58u+udFoo4oksuJECrJJElCKpUKwq8aCoUglUpvaYorSDCrVCoEg0HYbDa+6S9W1RSGYfjYt9JUZFmWxa+//oply5aBpmkMGDAAHTt2jItgCQQCoCgKRqMxparIJclDVigU+Pjjj7F69WoEg0H06tULb7zxRoURaJxAJggCFosl4e9tgiD4vgO73S5WPYugMHtFYUgkEphMJlAUJfqTy8h///tf+P1+MTtZJOqIIrmc0DSd8Gl7pRkiEktYlkUoFOKryIXBCWaj0YjMzExYLBbI5XL4fD7k5OTAZrPB7/dHtXLIef5K07AXiUSwbt067NixA1arFaNGjUKDBg2itqaiYBgGXq8XGo1GEK9tNOF8yCaTqdiLjf79++PgwYOoV68epk2bhh9//JHP4E5VhCaQOSQSCW/5sNvtYmNlAZR1OIhcLoder4ff70/5/TsWVKpUCc888wyWLl2KkydPJno5IimEKJLLCde0lyiRzDXtCUFIkSQJhmFKZUMgCIIficulZBAEwcfKOZ1OhEKhct2GzBv7VlLBYbfbMX/+fJw4cQINGzbEk08+CYvFUuY1lBav1wuWZaHX6+P2N+NBQT7k4mjQoAEOHDiAtWvX4u6774bD4YDH40nJW9M0TcNutwOAoAQyByeUAcDhcFQ4C0xRlNReURicH5+LiBMpHcOHD0etWrXwxhtviPulSNQQRXI5SXRGMk3TgmnaC4VCkEgk5Zr6p1arYbFYkJmZCb1ez2fD5uTkwOv1lunkEQ6HQdN0iavIp0+fxpdffgmbzYYHHngAffv2jWtyCEmS8Pv90Ov1ghNJ5aE4/9aRtAABAABJREFUH3JR6HQ69OnTByaTCTRNo2PHjti0aVNKnQyFLpA5uBg6mqbhcDhS8mKlNJTWXlEYnP0IAFwuV4XfrqVFLpfj9ddfx+HDh7F+/fpEL0ckRRBFcjlJdEZytCftlZWSWi1KilQqhU6nQ3p6OqxWK5RKJXw+H7Kzs2G32xEMBkt8EvH5fFAoFMVuI5Zl8dNPP2HlypWQSCQYPHgw2rZtG9e7BCzLwuPxQCaTRWUioFAoiQ+5JBAEgStXruDMmTPo168f3nvvvZTwKXMCmWVZWCyWcg+6iTXcxD+SJCu0oCurvaIwpFIpTCYTwuGwGH9YBu666y706tULM2fOhMPhSPRyRFIAUSSXE5qmE5pswTXtJXpqE0VRoCgq6ikMnH85LS0NmZmZSEtL4wVXSarLJEkiEokUKzgpisKGDRuwe/duZGVlYfTo0ahdu3ZUn0tJ4KYVplrkW2l8yMXRunVr7N+/H7fddhtefvllPPHEE/B6vVFaafxJNoHMwb0vg8FgUm//slJee0VhKJVK6HQ6eL3elLgAjDcvvfQSGIbBrFmzEr0UkRRAFMnlJNGVZG7SXqIJhUK8vzhWSCQSaDQaWK1WpKenQ6VS8dVlh8NRoHfZ7/dDKpUWKd59Ph8WL16MY8eOoUGDBnj88cf5257xhIt8UyqVMd2O8aYsPuTi4HzKDzzwAJYtW4YHH3wQV65cicrvjicMw/De3mQSyBxqtRoGgwE+n6/CVD6jZa8oCr1eD5lMJsbClQGr1YoXXngBa9euxeHDhxO9HJEkRxTJ5SDR0/YSPWkvL9G0WpQEblpVZmYmjEYj74/Mzc3lkzFomkYwGIRWqy10XTk5OZg/fz4uX76Mtm3bon///gnbnn6/HzRNp1QVuTw+5OIwmUzYvn07nnvuOTAMg0gkArfbnTSigmEYPiUiGQUyh06ng1arhdvtTvlkhmjbKwqDsyWJY6vLxoABA9CoUSNMmzZNbIIUKReiSC4Hic5IpigKLMsmvJJM0zRIkkzIwAuJRAKtVgur1Qqr1Qq5XM4nY+Tm5oJhmELF2dmzZ7FgwQJ4vV707NkTDzzwQMLEKU3T8Hq90Gq1CX89o0W0fMhFIZPJ8PHHH2P37t3IyMiA3+/Hzz//LPiGvpsFcrK/5gaDASqVCk6nkx9ulGrEyl5RGHK5HAaDAX6/X5x0WEqkUimmTp2K48ePi018IuVCFMnlINHT9ji/WqJPsPGwWhQH5102mUzIzMyERqOB1+tFOBzmx+nmrTAeOHAAK1asgFQqxdChQ9G8efOErR24EflGEERKRb5F04dcHCqVClqtFps3b8Z9992HKVOmCNbPyVksUkUgA/8bNiKXy+FwOFJq2Eg87BWFodFo+Fg4oV/4CY3mzZujV69emDVrFtxud6KXI5KkiCK5HCS6kkySJGQyWcKb9kKhEBQKRcLXwSGVSiGXy3n/MjecgRtSsm3bNmzfvh0mkwkjR45EzZo1E7reSCSCQCAAvV4vmG1YXkKhUNR9yCWha9euaNSoEWbMmIEhQ4YIbkwtJ5ApioLZbE4JgcxBEATMZjMIgkiZDOV42SsKg7sLw7JshU4RKSsTJkxAJBLBJ598kuiliCQpqXFGThCJnrYnhCEiDMMgHA4nxGpRGHmHhxgMBqSnp/NxVatWrcLBgwdRrVo1PPHEE3EdEFLYWj0eDy/qUwGKouByuWLiQy6OmjVrYu/evejWrRvWrFmDbt26ITs7O65rKAxOIJMkCbPZLIhegmjDDRthGCbpm87iba8oDKlUCqPRiFAohGAwGPe/n8xkZGTgmWeewYoVK/D3338nejkiSYgokssBl2yRiAOnUCbtcY06QhLJkUgEJEnysW8EQSAYDGLTpk24fPkyGjZsiM6dO8Pr9cLr9Sa04hUKhRCJRFKmWS8ePuTi0Ol0+PrrrzF69Gj8/PPP6N69Oz/BMFFw24UkSVgslpQUyBwymYzP+k2mRkqORNorCkOtVkOtVsPtdqeUlSUeDB06FNWrV8dbb72VdPuiSOJJznZqgZDIjGShNO1xVgshTQfz+/2QyWS8R/rKlStYsWIFAoEAOnfujDZt2oCmafj9fvh8Pvh8Pmg0Guh0urg+D4Zh4PF4oFKpUibyjfMhWyyWhFpHZDIZPv/8c9SsWRN16tThL4YScTHCsiwcDgcikUjKVpBvRqlUIi0tDS6XCzKZDDqdLtFLKhEMw8DtdiMYDEKj0cBoNArm4tVoNPIJLpytRaR4FAoF/vvf/2LUqFHYvn07unXrlugliSQRokguB4nMSBZC0x7LsgiHw4JqNqMoCqFQiD+5nT17FmvWrAHLshgwYAAaNGgA4IaIMhqN0Ov18Pv98Pv9CAQCUKvV0Ol0cfEdclF1BoMh5n8rHnA+ZKPRKAghSBAEXn75ZQA3tvWff/4Jm82Gnj17xk1g3CyQU+ViqCRoNBpQFMVPkBTS3aaCIEkSTqcTNE3DZDIlvHp8MxKJBGlpabDb7QgEAik1kTPWtG/fHh07dsS7776L++67L2WsbSKxR7RblINEVpKF0LTHJUYI6eTn9/shkUigVqtx5MgRrFy5ElKpFMOGDeMFcl4kEgn0ej0yMjKg1+sRCoWQk5MDl8sV09uaFEXB5/NBq9UmbT5uXhLpQy4JGo0Gzz33HPr164d58+bFxWLDWSwqokDm0Ov1fDScUNNGhGivKAylUgmNRsPfsREpOf/9739ht9uxYMGCRC9FJIkQRXI5SGQlORKJJLxaFwwGIZPJBCPyGIZBIBCARqPBvn37sHHjRuh0OjzxxBOoVq1akT8rkUig0+mQkZEBg8GAcDgcU7Hs9Xr5v5nsCMGHXBwEQWDx4sXIzMzEmDFjMHXq1JiKNm6bhMNhmEymCimQgf+lM8hkMj72TkgkOr2iLBgMBkgkEjHtopRUq1YNw4cPx/z583H9+vVEL0ckSRBFchlhGCZh0/ZYlgVFUYKwWgipihwMBsEwDPbu3YsffvgB6enpGDlyJNLT00v8O24Wy7GoLIfDYQSDwZSJfItnHnJ5aNy4Mfbt24cmTZpg+vTpePLJJ2OSFsDFdXECWUjvkUQgkUhgMpn4CwehCDuhpFeUFs52EYlEKswo8GgxZswYaDQazJo1K9FLEUkShHtGEzjc7dpEVJJJkkx4014kEgHDMIIRAFyU2i+//IJ9+/ahWrVqePzxx8vs9yUIAjqdDpmZmbxYzs3NhdvtLlc1LG/km1Bv6ZaGROUhl5UqVargl19+QadOnbBkyRK89957UZ1mxgnkYDAoCuQ8yGQyPoYx0YkXyWSvKAylUgmtVguv1yvaLkqBTqfD888/j6+//hpHjhxJ9HJEkgBRJJeRRA4SEULTXigU4od2CAGv14vt27fj1KlTqFevHoYOHRqVEx8nljnPcjAYRE5ODjweT5l8rcFgECRJCqprvqwI3YdcGAaDAdu2bcO7776L0aNHw+Fw8FGG5UEUyEWjUChgNBoRCAQQCAQSsoZktFcUhsFggFQqFW0XpaRv376oV68eZsyYIW43kWIRRXIZSeRIai4fOVEii2VZhEIhqFQqQQi9QCCAFStW4NKlS2jWrBkGDBgQdfGe14ah1Wrh9/uRk5NTqvxdLvJNrVYnRdW1KJLBh1wUCoUCkyZNQlZWFhQKBd5//31cuHChzL+PZVk+OkyIyQhCQaPRQKvVwu12R7WCXxKS1V5RGNx7T7RdlA6pVIqXX34Zf/zxB7Zv357o5YgIHFEkl5FETttL9BARkiRB07QgKmUulwsLFixAdnY2WrdujZ49e8b0wkUikcBgMCAjIwNqtRo+nw85OTkIBALFimWfzweWZVMi8i1ZfMjFQRAEjh07hldffRUPPPBAmaZycQI5EAggLS1NFMjFYDAYoFQq4XQ642IVSAV7RWEoFArRdlEG7rnnHtx///2YOXNm3C/WRJKL5D27JZhETdsTwqS9UCgEiUSS8GqozWbDwoUL4XA4cM8996BLly5xez24UbHp6elQKBRwuVzIzc1FKBQqUCxTFAW/3x/3gSWxINl8yMXRoUMHfPjhhzh79iweeOABHD58uMR3BziPOSeQk8l2kigIgoDJZAJBEDFv5Esle0VhcA3Aou2idEyaNAnZ2dlYvHhxopciImBEkVxGEpWRLBQ/slKpTOityuzsbHz11Vfw+/3o2LEjWrdunZD1cCN4rVYrJBIJHA4HHA7HLfFiHo8nJSLfktWHXBzPP/88Fi1ahKtXr+LBBx/E3r17ixUcnEDmBqik0vaINRKJBGazmd+fYiHuUs1eURh50y4S5fVORmrVqoWBAwfi888/h91uT/RyRASKKJLLCE3TCWvaIwgiYSKZoihQFJVQq8W1a9ewePFiBINBPPzww6hTp07Cp08pFApYLBaYzWbQNI3c3Fy4XC7QNI1QKIRQKJSQkcjRJNl9yMUxYsQIrF27Fi6XC/3790dOTk6h4o1lWXi9Xl4gJ3r/S0bkcjnS0tIQDAaj6qlNZXtFYeQdMiK0LGoh88wzz0AikWDu3LmJXoqIQEmt+05xhGGYhAjVSCQCmUyWMIESCoVAEETCRPLly5exbNkyUBSFAQMGwGg0QqlUCsIXy20XpVKJQCAAr9eLYDDIX1QIwcNdHjgfssViEcT2jgW9e/fG1q1bwTAMaJqG0+nkrQEcnED2+XwwGAyiQC4HarUaJEnysYjlHbrCMAzfQKnRaFIiRaakcEOQXC4XzGZzhXne5cFkMmH06NH4+OOPMXToUNSsWTPRSxIRGKl5posDiawkJ9IHmkirxYULF7B06VLQNI1BgwahWrVqoGlacCKFIAhotVpkZGRAIpEgEAiAoih+jHcykmo+5KLo0qULunbtCrPZjOPHj2PVqlX5Xjefz8cL5GS3zwgBvV7PN/KVpwpaUewVhSGRSGA0GvlhRSIlY9iwYbBareKAEZECEUVyGWAYBizLxl0kMwyT0El7NE0jEokkpCJ6/vx5LF++HAAwZMgQ3HbbbfD5fFAqlYLJai4IlmVhtVqhUCh4v3KydaGnqg+5OJRKJZ5//nkMHToUX375JV9B9nq90Ov1okCOEnkb+RwOR6kvJCuivaIwVCoV1Gp1mXPcKyIqlQrPP/88vvvuO/z111+JXo6IwBBFchlIVEZyopv2uIEL8RbJZ86cwYoVKyCRSDB06FDUqFEDJEmCJEnBVZHz4vV6AQBpaWkwm818o1J5hpHEm1T3IRcFQRBYuXIlsrKyMGbMGMydOxcejwd6vR56vT7Ry0spuNHVFEXB4/GU+OcqQnpFaeEiJkuzHSs6PXv2RP369fHee+8l7d0+kdggiuQykKhpe1zTXqJOApzVIp4XB6dOncLq1auhUCgwbNgwVK1aFQDg9/shk8nK7WGMFSRJ5ot84/zK3OQ+v9+P3NxcBINBQR+UUyUPuazUq1cPu3fvRlZWFp577jls3LhR0BdmyYxCoYDBYIDf7y9RSkNFt1cUhlQqhcFgQCAQEDOAS4hUKsVLL72EQ4cOYefOnYlejoiAqHhnvSiQyEpyoibtMQwTd6vF8ePHsXbtWiiVSgwfPhyVK1cGcOMiJRgMQqvVCvKkyEWDyWSyWwQVQRDQ6/VIT0+HXC6H0+kUrAWjIvmQi6JSpUpYs2YNsrKyMH78eGzZsiUp7gIkIxqNBmq1Gm63+5YYRQ7RXlE83FRPt9st6ItwIdGuXTvcc889mDlzpiCPxyKJQRTJZYCbtpcokZwIuKazeInkI0eOYP369dBoNBgxYgQyMzP57/n9fkgkEsGeGEOhEMLhcJGRb1y+MmfByM3NLdWI61hTUX3IN+P3++F2u9GkSRPs3r0bo0ePRvPmzeFwOEShHAM4W49MJoPT6bxlG4v2ipLBbUeapnnbl0jREASBiRMn4vz589iwYUOilyMiEESRXAa4aXvx/puJbNoLhUKQy+Vxed7Hjh3Dpk2boNfrMWLECKSnp/PfYxgGgUAAarVakLf/uSqyUqks9oKCs2Ckp6fzo2Vzc3MRiUTitNqCqcg+5LwEAgG43W5otVro9XrUrVsXn332GbKyshCJRLB7925RKMcArpGPpul8lVDRXlE6ZDIZdDodfD5foVV5kfw0atQIDz/8MD755BO+B0ekYiM8lZEEJGLaHneQS8Rtb5ZlEQqF4lJFPnnyJDZs2ACdTofhw4fDYrHk+34wGATDMIL1hfp8PtA0DaPRWOKfkUgkMBgMSE9PB0EQsNlscLvdCRNgFd2HDNwQyC6XC1qt9pY7AgqFAgsWLEDnzp0xf/58USjHAJlMlm/QiGivKBs6nQ4ymUy0XZSC5557Dg6HAytWrEj0UkQEQMU8A5aTRGQkc017ichmjpfV4vTp01i3bh00Gg2GDRsGs9mc7/ucF1GlUgnyFitN0/D5fNBqtWVan1wuh9VqhdFoRCAQQG5ubtyrGaIP+caFmMvlgkajKdQyM3DgQFSuXBljxowRhXKMUKvVUKvVyMnJgcPhEO0VZYAgCBiNRkQiETE7uYTUqFEDffr0wbx58+Dz+RK9HJEEI4rkMpAIu0UkEklY014oFIJMJovpyen8+fNYs2YNlEolH+5+M+FwGBRFCbaK7PF4+Ma8spJ3EIlMJoPD4SjQmxkLRB/yDYHsdDqLndZWp04d7Nq1K59QFit10YUkSUQiETAMA4Igkn6se6JQKpVidnIpeeaZZxAMBrFw4cJy/R6GYfDPP//g6NGj+Pnnn2Gz2aK0QpF4IYrkMpAou0WirRaxOkFduHABK1euhFwux9ChQ5GRkVHg4/x+P+RyuSArnFylRq/XR2XfkEqlMJvNSEtLQzgcRk5OTkzj4kQf8v8EslqtLtE4Y04oV6pUCWPGjMGCBQtEoRwF8qZXSCQSVK1aFVKpVLQMlAMxO7l0ZGZmYvDgwVi0aBEcDkepf54kSXz77bfo168fevfujX79+mHUqFEYMmQIFi9eHIMVi8QKUSSXkkRM26NpGjRNJ6RpjyRJMAwTM6vF5cuX+UEhQ4YMQaVKlQpdRzgcFmTsG9esJ5fLo1qBJQgCGo0G6enpUCgUcDqd5R7dWxgV3YccCoV4gVyai4Q6depg9+7dqF+/PqxWK5xOpyjkykFB6RUqlYr3J5ckP1nkVqRSKfR6PQKBQMIbg5OF0aNHgyAIzJs3r8Q/Q1EUvv32W3Ts2BHPP/88/vnnH3Ts2BFvv/02XnnlFVSpUgWffPIJtm7dGsOVi0QT0dxVShKRkZzISXuhUAgSiSQmf/vatWtYtmwZWJbFkCFDUKVKlUIfK+TYt2AwiEgkAovFEhMBz1WVg8Eg3G43cnNzYTQao7YtOB+y0WgUZJU+1nACmRNjpX0N69Spg6NHj4IkSTidTtjt9pjtC6kMt/1omobJZMq3f6vVakQiEXg8HigUCkGPohcqGo2GT2yxWq3i/lkMJpMJTzzxBObNm4cRI0YUWsDhcLlcePPNN7Ft2zaYzWY888wzGDhwYD7rYLdu3TB9+nR89tlnePjhh2P9FESiQMUrGZWTREzbI0kSEokk7j7oWFotcnJysHTpUlAUhcceewzVq1cv9LEMwwh2eAjDMPB6vVCpVDGf/qdWq2+pKpfXY1jRfcjhcBhOpxNKpRImk6nM+5dUKoVKpcL169fRpk0b7Nq1S6wol5CSDgcxGAx8frK4bUsP18THTQMVKZ4RI0ZAq9Xi008/LfJxwWAQb731FrZt24a+ffvim2++wbhx42C1WkHTNH+ctlgsaNq0KQKBAM6dOxePpyBSTkSRXEoSVUlORNMeRVGgKCrqVgubzYYlS5YgHA5jwIABqFWrVpGP526xClHE+Xw+MAzDe/5ijVQq5TNiw+EwcnNzyzx6tqL7kMPhMBwOR7kFcl58Ph8uX76MPn36YP/+/aKYK4a89gqNRlNkekXeARmit7ZsKBQKPpM9FratVEOn0+Hpp5/Ghg0bcOHChUIfd+DAAWzduhWDBw/GG2+8wed8523y57b3iRMnQBBEvgFZIsIl5krP5XLh/fffR9euXdG0aVO0a9cOI0eOxM8//3zLYxmGwVdffYWuXbuicePG6NChA959911BRdckYtpeoibthUIhEAQR1Qqpy+XCkiVLEAgE0K9fP9StW7fIx3NVJrVanZD4u6KgKAp+v7/MkW9lJa9XWSaTwW63l6mpqSL7kDmBrFAooiaQAeDee+/Fhg0b4PP50KtXLxw9ejQqvzcVuXk4SEmaJeVyOQwGA/x+v6DOC8mEXq8HQRDihUYJeeyxx2A2mzF37txCH3Py5EnodDqMGDECUqn0lgQs7k7wjh078MMPP6Bp06aCTWkSyU9Mz4yhUAgDBw7E0qVL0a5dO0yZMgXDhg3DpUuX8OSTT2LLli35Hj99+nTMmDEDderUwauvvoquXbtiyZIlGDt2rGAqMvHOSE5k0160rRaBQADLli2D1+vFo48+igYNGpRoDTRNC/KA4vF4IJFIoNPpEvL3Oa+ywWDgc5VLOlmrIuchRyIRXiCbzeaoV9AfeughLF++HDk5OejZsyfOnDkT1d+f7JTUXlEYGo0GKpUKbrdbrIaWAW54EddLIVI0KpUKTz/9NDZv3ozz588X+Bifzwez2czvjxRFAfjfHedz587h3Xffxfjx41G7dm1Mnjy5wt25S1ZiKpJ3796N8+fPY8KECZgyZQr69euH0aNHY9WqVZDL5VizZg3/2DNnzmDZsmXo0qUL5syZg/79++Pll1/G5MmT8dtvv2H79u2xXGqJiXdGcqIm7VEUBZIko2a1iEQiWLFiBex2O7p27YomTZqU6Of8fr8gG3XC4TBCoVDUIt/KCkEQ0Ol0fCOOzWaDz+cr8qKyIvuQI5EI7HY75HJ5TAQyR//+/TFv3jxcuHABH374oZjK8P8UlF5R2rswee1Boj+5bKjVasjlcjFWr4T069cP6enphVaTu3XrhitXrmDfvn0Ih8P8+frEiRP4/PPPMWHCBCxatAgNGjTAxIkTkZmZKWZWJwkxvUfs9XoB4JbcW66LPq8A27p1K1iWxfDhw/M9tn///vjggw+wefNmdOvWLZbLLRHxriRzTXvxFmLRtFrQNI21a9fiypUraNeuHVq1alWin4tEIohEIrdM3ks0XOSbQqEQTNoGN63P6/XC4/EgHA4jLS3tln21IvuQ4yWQOUaNGoWqVavirrvugsvlgkQiictod6FSVHpFaZFIJEhLS4PdbofP5yvXAJ+KCNfEZ7PZEAgEBHmnTkgolUo89dRTmDZtGsaMGYPatWvn+37Dhg3RrVs3fPLJJ/jmm2/QoEEDHDt2DJcuXYLNZoPJZMJ//vMfPP744/zPVDSLW7IS01fp7rvvhkwmw4cffoiffvoJ169fx6lTpzBp0iTQNI3Ro0fzjz127BgkEgnuuOOOfL9DqVTyO5wQiHclOVGT9kKhEBQKRbnfyCzLYsuWLTh79iyaNWuGjh07lvhn/X4/pFJpzFMjSksgEABJkoKbAMZNJTObzSBJssCx1hXVh0ySJBwOBy+Q4/XcH3roIVgsFiiVSnzyySdwu91x+btCorz2isJQKpXQ6XTwer0lthmJ/A+FQgGNRgOv1ytWNUtAv379kJWVVWjSxeTJkzF27Fjk5ORgx44dcDqdqFWrFqZNm4ZffvmFF8iiRSi5iGkluUaNGpg5cybefvvtfII4KysLS5cuzSeIc3JyYDKZCrQVZGZm4vDhw3Gv4t4My7JxnbbHsixIkoz7VT7DMIhEIjAajeX+XTt27MBff/2FevXqoUePHiUWlTRNIxgMCk6IcpFvGo1GsF5elUqF9PR0uFwuOBwO6HQ66PV6hMPhCpmHTJIk7HY77+GO98UBQRD44YcfMGnSJPz0009Yt25dhakoMwwDt9uNYDBY7KjvssDt106nE+np6YI6ViQDer0ewWAQXq83Ksf7VEahUODpp5/G66+/jjFjxtzSdG6xWDB48GA8+uij/H6fN/ufYZiERLmKlI+Yt+RnZGSgfv366NmzJ+688044HA4sXrwYo0aNwoIFC9C4cWMAN3IGCztxc5XEUChUoGDkroJPnz7NG+a5gyVXucjIyABBEOU6iLIsG9dpe1yETLz9uFz1sbwn8r179+K3335D1apV0bdv31KJE7/fz6c4CAmv1wuWZQV/e5cThH6/Hx6PB8FgEDRNVzgfcl6BbLFYElY979+/PzZu3Ig1a9Zg/PjxmDt3bsqfLKNprygMzjZks9ng8XhuEXosy4KiKEQiEZAkCZIk832eN62oNP9KpVLeMhjPZJtow03i83g80Gg0guv9EBq9e/fGF198gTlz5uDjjz++5fssy0KlUuVr6OYKawUdezjhLCJcYvruPnr0KIYPH46pU6diwIAB/Ne7du2Khx56CFOnTsXGjRsB3GgksNvtBf4eLge2MNHGibrJkycX+P3hw/+PvfMOj6M81/4922d7leRu44otN9yNKzauFJvQCWBaAgFSyDk5Sb4UkhNywiEkJyGEFgjYhlAMGDA2bjQbG3fj3uSGLUtabZ/dnZ2Znfn+cN5hVVbSSrNN2t916SLRrndHW96553nv537uxJIlSwBAFsrkhyx65H+39JPrjOR8TdojVouOnMT379+PdevWwe1249Zbb83ob5AkCbFYDEajsaAWEBL5ZrFYikLgkKY+rVaLc+fOQRTFLuVDFgShIAQycHHNeOWVV3DhwgU8//zz6NGjB37xi18U1OdbKcj3NxwOQ6PRyFGFHYHneTAM0+QnEonIcXAsy0IURSSTyQZCONtotVrQNN3gx2AwtPi7QtqJMplM8iS+0qTIltHpdHjggQfwi1/8AkePHsXgwYMb3J5aiDt27BgGDRrU7LmiJeFcorDIqkh+7bXXwPM85s6d2+D3VqsVkydPxvvvv49IJAKLxYKysjKcOHECHMc1WTxqa2vh8XjSChMinv/nf/6nwWAK0rXrdrvhcDjkSjD5EUWxwf/meV7+XXMerWQyCZZlodFooNVqoVarm/wo+aHneV5+3FwhiiISiUSHKqVVVVVYuXIlrFYrvv3tb2dcQYrH4xBFseCaSUKhENRqdd4i39oLy7KgaRoajQbBYBCCIMhZqZ0VIpBVKlVeLBbNYTAYsHLlSkyZMgWPPvooevbsibvuuqtTvQ+p9gqTydQmu1QsFoPP50MgEEAkEmlWCLc0MEelUkGv10OtVkOj0YCmaTnaUKvVyj+p/5/8b5Jpm3o+aO2/xHbHcZwszuPxOOLxuLxr0xZomobNZoPdbofVaoXdbpf/v81mg9FozMlng/Qy+P1+ea0okZ5FixbhmWeewTPPPIP/+7//a3J7fX09brzxRtTU1OD999/HgAEDmtyHnNOPHDmCffv2YcCAAejfv3/J8lKAZFUk19XVAUBawQl8kydYWVmJzZs3Y9++fRg7dqx8v0QigSNHjmDixIlpn4ecAAcPHoxhw4YpcuxkUUz9iUajEAQBarVaXiQbm/CJ50ij0cj/JT+ZnqjzMUQkkUjIW0btobq6Gm+88QZ0Oh1uu+22jL/0kiSBYZiC28ZkWRaJRELRwRO5gOQhk5MusV9wHAeHw1EUFfFMIQKZoii4XK6C+hudTifWrFmDhQsXyr7xzlLdb8leQRonfT5fk590otJgMMBsNqNbt26wWCwwmUyyv95sNss/NE2Doigkk0l4vV55gmK+kCQJiURCFs7N/ZDKbTAYRG1tbbMxbFqtFjabDQ6HA06ns8GP3W5X9MLPYDBAr9cjHA4rmo3fGdFqtfjOd76DRx99FFVVVU2SLtxut5xFne49OnHiBP73f/8Xn3/+ufy7oUOH4r777sP8+fOzevwlMiOrKqR///7YvHkz3n33Xdxzzz3y771eLzZv3oyePXvKi9mCBQvw3HPP4ZVXXmkgkt98803E43FcffXV2TzUJhDfWeoJNplMQhAEuFwu+XdETJOhH4IgyP9tLKJVKpUsmLVarfzf5r5I+WraI5Xy9gjUQCCA1157DZIk4dZbb20S/dcWOI6DIAgFdUVNIt/0en1RNVw1zkNOtV8Eg0F4vV44HI6CSw/pCIUskAl9+vTBvn375IYzlUpVUJ/3TEm1V/A8D5Zlcfbs2QZCuLlUDzKG2uVyweVyyYNxiPjNdA1Sq9Ww2WwIBAKytSEfUBQFg8EAg8HQJrFOmoFJfjT5L/nfJ0+ebDKQRq1Wo7y8HBUVFfJPeXl5hywcVqsVXq8X0Wi06HbLcs11112Hv//973j++efx+OOPN7n9rbfeSvve+/1+/Pd//ze2bduGcePGYfbs2bDZbHj55Zfx2GOPobKyEr169cr2n1CijWRVJN9+++1YuXIlnnjiCRw7dgyjR4+G3+/H66+/jlAohEcffVS+7+DBg3Hbbbdh+fLleOihhzB9+nRUVVVh2bJlmDhxYsFkJDcWtM2J6VSIgBYEQf4h23SkekAqzqlbg0R857KSTCog7WnsYlkW//rXvxCNRnHTTTe1+0sejUbl7dBCgewgFFMVuaU8ZL1eD7fbjUAgAJ/PB6vVCpPJVDR/WzqSyWTBC2SCSqUCTdPYuXMnHnnkEbzxxhsNrGLFQCwWw/nz53Hq1ClUV1fLmcWpaLVauFwu9OzZE06nEy6XC263G06nMysilqZpsCyLUCjU4b6KXEEuktJdKImiiHA4DL/fL/94vV5cuHAB1dXVDe7rcrkaCOeKioo2C16tVguTyYRIJAKapovitcsXOp0O9957L/7whz/goYceanK+IwJZEAT5Yk+SJFAUhS+//BLbtm3Dd7/7XTz00EPyOX7QoEH4+c9/jr/85S/44x//mNs/qERasiqSe/Xqhffeew/PPPMMtm3bhjVr1kCr1aKyshKPPfYYpk6d2uD+P//5z9GjRw+88cYb+PTTT+F0OnHHHXfg4YcfLogTeHsykok5v7HYJV3XZLKdIAiIx+PySSaZTMqCVZKknCz4HMdBFMWMT16iKGLFihXwer248sor2zRuujkEQQDLsgW1/ZxMJsEwDEwmU1F1fpM85HQNa6SZjQwf4Xm+oF73TCECGUDBC+RUjh8/jp07d+K6667Dxo0bG+xSFRLxeFwWZeQntTpMURTKysowYMAAVFRUoKysDC6XKy/ed5vNhrq6OoRCoaK6sE0HGZxit9ubXEgxDIMLFy6gpqYGtbW1uHDhAg4ePIiDBw/K9zGbzU2Ec7phOiQSjmGYot7dyAXXXXed7E3+/e9/3+x9NBoNQqFQg+jDPXv2QKfTYdGiRdBqtXIf1qBBgzBu3Dh8/vnncq9WifyTddNnt27d8Nvf/rZN91Wr1bj77rtx9913Z/mo2oeSOc0URclV41RRSjKKQ6EQBEFAIpGQR9qq1Wq5ykoaT5Q8AbAsK1e124okSVizZg2qqqpw2WWXYdKkSe1+/mg0KlfYCgUyNbKYFqxUH3JLFXnSsEPsF2QyVCF5wdsCEciSJBWVQAaAu+++G6dOncLvfvc73HzzzXj//ffz/vmXJAlerxenTp3C119/jerqagQCAfl2iqLgdDoxaNAglJeXo3///ujevXvBXEQSUen3++V85s6K2WzGwIEDG2T2JhIJ1NbWoqamRv45deoUTpw4Id9Hr9ejV69e6N27N3r37o0ePXrIfTNms7kUCdcCgiCAYRhs2LABarUa7777Lh566CF07969yX2PHTuGP/7xj7jzzjtx+eWXAwAuueQSaDQauFwuiKIInU4HSZKg0WhQW1sLg8FQGo5TQBTX2TDPkA90NiGjaxmGgd1uh8PhaBBpxHGcnNVLUZQsmMlPe0WzJElgWTbjpo1t27Zh586d6NevHxYsWNDu5xdFEbFYDGazuWAqPzzPIxaLwWazFUQ6Qlto7ENuCyT5wu/3y0K5WHzKjQVysQl8APjtb3+Ls2fPYunSpbj//vvx4osv5vTvkCQJfr8fp06dwunTp3H69GlEo1H5drfbjREjRqBbt27o1q0baJqGIAhtTq/IB8STTHoJiunCqaPo9XpZ/BLI94RUnc+fP4+TJ0/Kwlmj0aBXr17o168f+vbtC61Wi3A4XLA7G/lAEASEQiF89NFHePXVV1FVVYXRo0cjFovhxRdfxC9/+csm/8bn8+Grr75qcJE5ZswYqFQqrFixQi4IUhSF7du3Y8eOHRg3bhycTmfO/q4SLVN8Z5Q8kctpe6RpjzSJqdVqOV8z9XaO48BxHKLRKCKRiFyd1uv10Ov1GVWaSbB+Jo1px44dw7p16+ByuXDDDTd06EREquWFUvWRJAmhUAgajaZgjqk1WvIht4ZWq4XH45F9yrmMoGovoijC5/NBFEW43e6iFMjAxRPkCy+8gPPnz2Pp0qWYNWsWvv3tb2d1rQkEAjh9+rQsjMmOCXBxIurw4cPRr18/9O7dW14TcjEcRElsNhu8Xi+CwWBae0FXQa1Wo6ysDGVlZRg5ciSAi+9ndXU1zp49i9OnT+Ps2bM4deoUgIue227duslV6q48zZBkdH/00Ud46aWXcPbsWVx++eX4zW9+g3HjxuHpp5/Gs88+i/vvvx8ej6fBv500aRLMZjN27tyJKVOmwG63Y9CgQbj77rvxz3/+EwcPHsTkyZNx9uxZvPXWW/JuOvCNh7lEfinOs0oeyOW0PUEQIElS2q2u1AoyOTZizWgsmolg1uv1LYoIlmWhUqnaXCmvra3F22+/DYPBgFtvvbVDJ0xJkhCNRmEwGAqm4sOyLDiOK6qTa2s+5NYgmcKRSAShUAg8zys+RlgpOotAJuh0Orz11lt4/vnnMWvWLASDQUX9tAzDoKqqShbGqX7isrIyXHrppejbty/69u3b5LucjeEguYA0xHUF20V70Gq16NOnD/r06YOpU6dCEAScO3cOJ0+exKlTp3D27FmcOXMGGzZsgMlkQr9+/dCvXz9ccsklsNvt+T78rMPzPCKRiGxDDAaDGDBgAJ588kmMGDFCvt/tt9+Ol156CS+99BL+67/+q8nj3HnnnXjmmWfQv39/3H777ZAkCd/73vdQWVmJn/3sZ1i/fj04joPdbsdPfvITjBo1CgAKct3tilBScwGNRcbBgwdx3XXX4Z133lEsJ7kxPM/D6/XC7XZn3XIRi8UQDAZRUVHRLrFDKs2JREIWzsDFLTUSY9bYmlFXVwedTtemxS8SieAf//gHGIbBHXfcgT59+mR8jKnE43EEAoGcvLZtQZIk1NXVQavVFs22F8uy8Pv9sNlsisQGkhxXrVZbcHnKRCAnk0m4XK5O55tkWRY+nw+JRKLdiReSJKG+vh5Hjx7F0aNHce7cOfk2l8uFvn37ylvrLX1e2jMcpNAIBAJIJBItDqQq0ZRIJIKDBw+ivr4e586dQ21trXybw+HAoEGDMGTIEPTu3bto7GhtgeM4MAwjx6GSLG4gvXB98sknsXz5cnz66afNNjx+//vfx2effYbRo0dj0KBBoCgKa9euRU1NDQBg3Lhx+MEPftAg/rZEYVASyW0kkUjA5/OhrKws61WUUCiERCLRrpzh5iBT9MhPMpmUq8xkaEd9fT2cTmerdgue5/Hyyy+juroaixYtkrfuOkJ9fT2Ai97HQoBM/SqWipkgCKivr4dOp1O0+shxHPx+v9yoVQhitLMLZOCiwL3pppuwe/dubNq0Cd26dWvTvxNFEV9//bUsjP1+P4CLVeoBAwZg0KBB6NevH6xWa5seL9VeYbfbC95ekQ5RFOUiQGdIu8glfr8fPM+jrKwMsVgMp0+fxsmTJ1FVVSXvRtA0jcGDB2Pw4MHo379/UX4nJUmSxXEikWggjtvyefF6vbjiiivw4IMP4v77729yO/Eyv/HGGzh06BBsNhv0ej2GDh2KW2+9FdOmTWtwLKXPaOFQ+AqgQCBDQXJRiVB60h5JjKBpWrZmsCwLlmURDAbloSdkEEq6v1GSJKxcuRLV1dWYMmWKIgKZeKvzOSErldTIt2IQyB3xIbeGTqeDx+Np0NCXz2EqoijC7/d3aoEMXKxWTZo0CW+99RZuu+02fPjhh2kFKs/zqKqqwpEjR3Ds2DF5ep3FYsHYsWMxePBg9O3bN+PEmmK0V6SD2C4CgUBp7HKGWK1W1NXVyQNGhg0bhmHDhkGSJNTW1uLIkSM4cuQI9u7di71790Kj0WDAgAEYPHgwBg0aVPAWFzIbgGEYcBwn75xl2sDu8XiwePFiLF26FEuWLGmyTtpsNtx000249tprEQqFwDAMdDpdg3xlURShUqlKArnAKN6VL8fk6gPcuGlPaVKj5ywWC5LJJGpqaqBSqeTMXBJL1zhQ/rPPPsOhQ4cwdOhQXHHFFYocTzQahVqtLphJduFwWJ5MVwx01IfcGiRPORgMKmrnyBQikAVBKJiqdjb54Q9/iP379+Of//wnfvSjH+Hpp5+Wv4uJRAKHDx/GkSNHUFVVBUEQAADl5eUYN24cBg8ejG7durVrrUq1VxiNxoL1pGcKTdOIx+MIhULQ6/Wdyh6QTTQaDUwmExiGgdFolF83iqLkzOUZM2YgEAjg6NGjOHLkiPxfiqLQp08fDB48GJdeemlB5S4TcRyJRMDzPHQ6HZxOJ/R6fbs/7/fccw/eeustvPvuu7jllluavQ+ZxFheXi7/jmiL0meyMCmJ5DaSq2SL1pr2sgFFUXC73TAYDEgkEojH47Jg1ul0MBgMOHfuHD777DNUVFRg0aJFipw4k8kk4vF4XgYONAeZhGi324tiwWprHnJHUalUcDgcCIfDcn53Lr2pJKKM53m4XK6C8K1nG4qi8Mwzz+Do0aN47rnnMHToUMydOxf79+/H0aNHIQhCAxEyePDgDu/GFFt6RaaQtAsyZKRE2zCbzYjFYmAYJq1Vx+FwYOLEiZg4cSJisRiOHTsmX8SdPn0aa9euRe/evVFZWYmhQ4fm5UIb+CbqNBKJQBAE6HQ6eU3p6HrWp08fzJkzBy+++CJuuOGGNu++FMO5pitTEsltpD3T9toDCRHPlUhmWRbAxSvcVFsG8THH43GcO3cO7777LvR6Pa655hrFXodCin0jkW+Nh7sUKu3JQ+4IFEXBZrPJE6SIkMrFzkpXE8gEnU6H5557Dr/97W9RXV2N119/HcDFk/Hw4cNx6aWXKvLedzZ7RTrUajWsViuCwSBomi6Y3atCR61Ww2w2yza01tZ/o9GIUaNGYdSoUeA4DlVVVTh48CCOHj2Ks2fPYs2aNbjkkktQWVmJYcOG5eRcJ0mSPElQEATo9XrY7XbF15P77rsP3/rWt7Bu3TosWLBA0ccukR8630qYJZScttcSHMfJk49yAcuyzW4/EsGsVqvxr3/9CzzP4+qrr5a9aCSsv73bUyT2LXULL5/E43FZiBVCVbslsulDbg1ykiR5yk6nM2vvHxHIJIqvqwjkYDCIffv2Yd++ffD5fBg2bBgsFgsGDx6M0aNHNzvZq710hvSKTEi1Xeh0uoJYe4oBk8kkR4tmEv+m0+lw6aWX4tJLLwXHcTh69CgOHDiAEydOoKqqCh999BFGjBiBMWPGNLAgKAW5AGQYRp4DkA1xTKisrMTkyZPxwgsvYP78+Z36u9RVKInkNpJMJnNykib+qFxAqsXpvGKSJOG9995DfX09Zs2ahdGjR8sWiVgshng8Lg86MRqNGVWf4vE4RFHM27ZbKqIoIhwOy6K/0Mm2D7k1DAYDXC6X3NDndDoVrzySCwEikIvhfekILMvi4MGD2LdvH86ePQvgYkVu/PjxGDFiBLp3745wOIxt27aBpmlF7AKd3V7RHGRHxOv1tmgfKNGQ1HHVZrO5Xd93nU6H4cOHY/jw4YjH49i/fz927dqFHTt2YMeOHejRowfGjBmDYcOGdfgcSCa4RqNRJJNJ0DQNs9mck6r1fffdh7vuugtffPEFpkyZkvXnK5FdSiK5DUiSJJvrs/08giDkzH6QSCQAIO2245YtW+RGPTJ3nmy9mUwm8DwvC2bSrWs0GluNzSFV5NYGnOQKhmEgSVJRnDBz5UNuDZ1OB7fb3UAoK3U8RCAnEolOLZAlScL58+exY8cOHDx4EMlkEhqNBsOGDcOIESPQv3//BrtXZ86cwbXXXotrrrkGr776aru/O13FXpEOjUYDi8UiXxh39iZQpUitJnf0Io2maYwfPx7jxo3D+fPnsWvXLhw8eBDvv/9+g+pyRUVFRo9LxDHDMBBFEUajsd2ivr1MmjQJw4YNw4svvlgSyZ2ArrMydoBcTdvjeT6nTXvxeBxarbbZv+vkyZPYuHEjPB4PrrnmmiaiN3Xqn9VqBcuy8hAUcvIxGo3N/i0cx8nWhnwjCIIcb1TogwZy7UNuDY1GIwtlYr3oqKBNFcgOh6NTCmSe53HgwAHs2LEDFy5cAAD07t0bo0aNwqWXXpr2orWyshIzZ87Em2++iQkTJuBHP/pRxtu5Xc1ekQ6TyYR4PI5gMAi3290lX4NMoSgKFosFwWBQsaosRVHo2bMnevbsKTem7tq1Czt37sTOnTvRvXt3jBkzBpWVlS1ehIuiiGg0img0CkmS5MpxPi7+KIrC3XffjR//+Mc4cuQIhgwZkvNjKKEcpWEibSBX0/ai0ShCoVC745syQZIk1NTUwGw2w2KxNLgtGAzi+eefhyiKuO+++zISs4IgIBaLIRaLQRRF6HQ6mEymBrmTJMrL4/Hk/eSUGpaf72NpCTJBTRRFeDyegvJSiqIoWyM6MnRCkiQEg0HE4/E2DbYpNvx+P3bu3Ik9e/aAZVlotVqMGDEC48aNa7Mf0+/347LLLsOFCxewdu1azJgxo83P31mGgygFx3Gor6+H1WotmsjHfCNJErxerxwNma3nqK6uxq5du3DgwAHZglhZWYkxY8Y08OQnk0lZHAOQK8f5LnjwPI/Zs2dj0qRJ+MMf/pDXYynRMUqV5DYgiiKA7Ee1kCEiuRBriUQCkiQ1ESI8z+ONN95APB7HzTffnPFCqNFoYLVaYbFYZGtAIBCAWq2G0WiETqcDy7IFkb+aSCTAsmxRTOHKtw+5JVQqFZxOJ4LBIAKBQLu85qkCOd9DS5REkiScOHECO3bswPHjxwFcHAs9Y8YMjBw5MuO/0+l04u2338bkyZNxxx13YMuWLejZs2erx9CV7RXpIBfwkUikSSZ8ieYh1WRyUZyNohFFUejRowd69OjRoLq8e/du7N69G926dcOoUaPQt29feciXyWRqU/JGrtBqtbjjjjvw5z//GY888ohi03NL5J7SStkGcjVtT+lJey1B5tKnniwlScKHH36ImpoaTJs2DYMHD27341MUJcfJ8TyPaDQKhmHkyLl8+wBJ5BvJgS5k4vF4QfiQW4IkbajVaoRCIYiiCLPZ3KaLD/JeEIHcGSqc8Xgce/bswc6dO+UkkiFDhmDcuHHo169fhy7KxowZg6eeegrf/e538eabb+Lhhx9O+30q2StaxmKxIB6PIxwOl7KT24jBYIBWq0U4HM56GpBer8fYsWMxduxYVFdXY+fOnThw4ADWrFkDjUaDSy+9FFOnTi3IfpIbbrgBf/vb3/Dqq6/iRz/6Ub4Pp0Q7KYnkNpCLaXtk0l4uvKYkUN1oNDb4m3bu3ImvvvoKAwcOzGgbtzW0Wi3sdjvMZjPOnTsHiqJQX18PvV4Pk8nUoSlH7SUWi0EQhIL3IwqCgFAoVDA+5JagKApWqxUqlQrhcBiiKLYqyohAjsVinUIgB4NBbNmyBXv27JGbcKdMmYKxY8cqOnHsvvvuw8iRI3HJJZcgEAjA7XY32WHoiukVmZI6srqUndw2SDWZxDPmom9AEATQNI2xY8di1KhROHfuHA4cOID9+/fjwIEDqKysxJQpUwqqYmu1WnH99dfj9ddfx3e/+92CX79LNE9JJLeBXEzby+UQEY7jIIpigxMC8Tg6HA5cd911WRGOiUQCOp0OZWVl4HkeDMPA7/dDo9HAbDa3moqhFKIoIhKJyPaPQiWfecgdgVSQQ6EQJElKa62RJAnhcBixWKzoPbL19fX44osvsG/fPoiiiG7dumHixIkYOnRoVqwNFEVhwoQJEAQBZ8+exZEjRzB16lRQFFWyV2SIwWCAXq9HOBzOywV7MaLX66HVahGJRBSZVpcOcp4gcaM2mw1GoxG9e/fG5MmTcebMGWzatAn79+/H/v375cpyt27dsnI8mXLHHXdg+fLlWLlyJW699dZ8H06JdlBaOdtALgaJ8DwPiqJyIpJZloVKpZKfK5FIYMWKFZAkCddff31Wqikk9o2madnmYTAYwHEcotEogsEgIpEITCZT1geMRCIRSJLUpGGx0ChkH3JrmEwmUBSFYDAIURSb+L6JQI5Go7Db7UVbZblw4QI2b96MQ4cOAQD69u2LKVOm4JJLLsmJ2FKr1bjzzjtx6NAhfPHFFxg0aFDJXpEhZAekvr4eDMMU/LpQCKRWkxOJhOLnDI7jZHteqjhu/Fnu06cP+vTpg/Pnz2PTpk04fPgwDh8+jIEDB2LatGmt+vWzTa9evXDllVfilVdewc0331x063iJkkhuE7kYSU0m7eUi1YJlWTltgviQ/X4/5s6dq+g0r1QSiQQEQWgwrYmiKOj1euj1erliEA6H5fGnJpNJ8UWF+KOtVmvBNHk0RzH4kFuDXOwEAgEEAgFZKEuShEgkIv99xSiQSQWrqqoKADBo0CBMmTIFvXr1yulxUBSFRx55BNdddx1uu+02vP3229Dr9SV7RYZotVqYTCYwDCNfyJdoGb1eD51Oh0gkolgFPpFIgGEYJBIJaDQaeYeptcfu0aMHbr75ZtTU1GDTpk04dOgQjh8/jn79+mHatGno06dP3i4W7777btx00034+OOPMXv27LwcQ4n2U1oJ2kAupu3xPJ8zbxcZzwkAe/bswf79+zF48GBMmDAha88bjUblXOXm0Gq1cDgcsFqtYBgGDMPIY6vNZrMiYplULzUaTUFM+ktHMfmQW8NgMMDhcCAQCMDv98PhcMjvr81mK+j3oTEkqWLz5s04e/YsKIpCZWUlLr/88oyHHijJokWL8IMf/AB/+ctf8Otf/xovvPBC0V5Y5RPSxBcKheB0OksV+FYg1WSfz9eharIkSeA4DpFIBBzHyeeC1NjQtlJRUYEbbrgBXq8Xmzdvxv79+3Hq1Cn07t0bU6dORf/+/XP+vo4aNQqjRo3CsmXLSiK5CCmJ5FYg0/ayWXUURRGCIOQkq5NlWbmCW1dXhzVr1sBms+Haa6/Nqq+MDIdoDbK1Zjab5fzLaDQKk8nUYbGcSCTkKW6FegIsVh9ySxgMBjidTvj9flRXV8ujgYtFIEuShMOHD2PTpk2oqamBSqXC6NGjcfnll+d9IA5Jr3jkkUewfft2LF26FLNnz8a3v/3tTvHZySXEdkGG2ZSa+FqHFD7aU02WJAmJRAKRSEROdiIDiTr62fV4PFi8eDGmT5+OzZs346uvvsKrr76K7t27Y9q0aRg0aFBOvx+33347fvzjH+PYsWMYNGhQzp63RMcpieRWINP2suklymXTHrFa8DyPFStWIJlM4lvf+lZWt2aj0SjUanVGJx21Wg2r1SqPQiU/ZCR2pu8HqSITe0ehUsw+5JYgr3t9fb3sOy8GyOTJ6upqaDQaTJgwAZMnTy6IyKnU9AqPx4O33noLI0aMwDPPPINFixaVvLXtoNTElxntqSYTyx/DMPKgEJfLlZUGQKfTiWuuuQbTp0/HF198gd27d+P1119HeXk5pk6diksvvTQn6+ycOXPg8XiwfPly/Pa3v83685VQjpJIboVcZCSTpr1s++AEQQDP8zCbzVizZg28Xi9mzZqVVR9lMplEPB5vc2ZuYxqLZWLDIGK5rY8ZjUYhCEJBDw4hw1eK2YecDtKE43a7wXEc/H4/nE5nwV4IXLhwARs2bMDJkyehUqkwfvx4TJs2rSCq3+nSK3r06IENGzagW7duYBhGzrMt0XZINdnr9Zaa+NpIW6vJkiQhHo+DYRgIggC9Xg+Xy5WTooXNZsOCBQswdepUbN26FTt37sSKFSvgdrsxZcoUDB8+PKtrkU6nwy233ILnn38eP/7xjxWNgyyRXQrzDFVA5GLaXq4m7RGrxbFjx7B37170798fl19+eVafMxaLAUCHxQURy2VlZaBpGuFwGLW1tYhGo2htsnoymZSTMwpVNAiCgGAw2Cl8yI0hDZkWiwVOpxNOpxOCIMDv98vfr0LB7/djxYoVeP7553Hy5EmMGDECDz30EObPn18QAlkURQSDQYRCIdA0Dbfb3eDievTo0SgvL4dGo8GePXsK7vUtBlKb+EiRpER6SDWZ2OoaQy7q6urqEAwGodFo4Ha7cyaQU7FYLJgzZw5++MMfYurUqYhEIli5ciWefvppHDx4sNVzSUe46aabkEwmsWLFiqw9RwnlKVWSWyFXleRcLBYsyyIWi2H16tUwm81YvHhx1gekxGIx0DSt2EUG8SyTcbKhUAjRaBQWiyVto0ckEpEX8kKkM/qQCUQgm81m2XOv0+lkj3KhVJQZhsFnn32G3bt3QxRFDBw4ELNmzUJ5eXlejyuVtg4HoSgKL730En7xi19gzZo1pWahdlCaxJcZpJrMMIxcTSbrP7nYoGkaZrO5IAoVRqMRV1xxBSZPnowvv/wSW7duxYoVK9C9e3fMnj0b/fr1U/w53W43FixYgFdffRVLliwp6HSlEt9QqiS3Ahkkki3hQpr2sr1wJJNJxGIxrFu3DhzH4brrrst6ZSwejyOZTGbleTQaDRwOBzweD9RqNQKBAHw+HziOa3A/juMQi8VgsVjyLsTSQXzIDoejYI+xPUSjUVkgWyyWBt8hIpTzXVFmWRYff/wx/vrXv2Lnzp3o3r07lixZgltvvbVgBDLJGK+vrwdFUfB4PK32ECxYsABqtRr33HMPamtrc3SknQeVSgWr1Yp4PN5sdbREQyiKgtlsBsdxst+4trYWoVAIOp0OHo8HDoejIARyKgaDATNmzMD3v/99TJgwATU1NVi6dClef/11BAIBxZ/v29/+Ns6fP49PPvlE8ccukR06zxk5S2Q72YI07WXbg5pIJLBz507U1dVh2rRpWblSToWc2Mlkpmyh1WrhcrngcrkgSRLq6+sRCAQgCEKDyLdCtTAQH7LVau1UPuRoNIpQKASTydREIBOIUCYV0mxudTYmmUxi69at+Otf/4pNmzbBbrfj5ptvxt13340+ffrk7DhaI9VeYTQam9gr0jF8+HD88Y9/xNmzZ/Hggw9CEIQcHG3ngqZpaLVahMPhnH42ixWtVotkMonq6mpEIhEYDAaUlZUVpDhujMlkwrx58/Dwww9j2LBhOHr0KJ5++ml88skn8jlaCUaMGIFRo0Zh+fLlij1miexSEsmtkO2R1KRpL9tbLydOnMD+/fvRs2dPTJ8+PavPBVz8u3iez5mPU6/Xw+12w263g+M4eL1e1NfXI5FIpB2LnG86qw85FovJArm1iW9EKJNmvlyIkVOnTuHZZ5/FunXroNVqce211+L+++/H4MGDC+pzwvM86uvrwbIsHA5Hxp/jBx98EFdddRXefvttvPDCCyWhlyEkqpDnecTj8XwfTsGSTCYRDodRV1cHSZJk25jdbi+6oSx2ux3XX3897rzzTrhcLnz++ed4+umncfjwYcW+P7fffju2bt2K48ePK/J4JbJLSSS3QrYrySQ8PZsn51gshvXr10Oj0WDx4sU52dKPRqPQaDQ5bcygKApGoxEejwcmkwnBYBAcxyGZTBacQOisPuRYLIZgMAij0djmkch6vV4WytmsKIfDYaxYsQJLly5FMBjEjBkz8PDDD2PUqFEFZXNpj72iOSiKwj//+U9069YNv/zlL1FXV5eFo+3c6HQ6uVG41ATZkGQyiVAohLq6OjnLvnv37jCbzXLDdrHSt29ffPe738W8efPAsizefPNNLF++HPX19R1+7Dlz5sDtduNf//qXAkdaItsU12VeHsj2tD2e57M+PnbNmjVgGAbz5s2D0+nM6nMBFyuk8Xg8bxVc4iE3Go3Q6/UIBoOIxWIFZWnojHnI8XhcFsiZvvdklHIgEEAwGFT0woFYKz7//HPwPI8hQ4Zg7ty5DUakFwpkOEg8Hm9TJb413G433nzzTajVaiSTSXAcVzDfgWLBYrHIPttCyMfON4IgIBqNIhaLyV7k1Ox6i8WCQCBQ9J81lUqFCRMmYNiwYdi4cSP27t2LZ555BhMmTMD06dPbXQDS6XS4/vrrsWzZMvz4xz8uiNScEukpieQWyPa0vWQyiWQymVW/1uHDh3HgwAH07t0b48ePz9rzpBKLxaBSqbIu/tORTCbljFOr1YpEIoFwOIz6+nq5wplPYRqPxztdHnI8HkcgEABN0+2+ODIYDLDb7XKFXYmLrKqqKqxZswY+nw9OpxPz58/HgAEDOvSY2aKt6RWZMmXKFNmvX1NTg169enWanYtcQMbYk2ppV00lEAQBDMPI63u6wU4GgwEajQYMw+SkKJNtzGYzrr32WowZMwarV6/G1q1bsX//flx55ZUYPnx4u75LN954I5577jmsWrUKN910UxaOuoRSdI4SVpbI9rS9bE/aYxgGq1atgl6vx7x583JyYhRFEbFYDEajMW9CNBwOyxUO4Bu/ss1mQzweR11dHWKxWF4sGIIgIBQKdSofMsuyskDuaAWYPEYsFkMkEmn3exQMBuUt0lAohCuuuAIPPPBAQQpkpewVLUFRFHbv3o3x48fj008/VfSxuwJkGFI4HM73oeQccvFWV1cHlmXlvPp0iUEURcFkMoFl2U7VMNqzZ0/ce++9uOqqq5BMJvHuu+/i5ZdfRk1NTcaP1aNHD8yYMQOvv/56wVkBSzSkVElugWxnJPM8D5VKlZXHlyQJ77//PmKxGGbNmgW32634czRHPB6HKIp5E4AcxyEej8NutzdYwMnCbTAYEA6HZQuGzWbLWed1Z/QhKymQCUajEZIkIRQKZZxvLQgCtmzZgk2bNkEQBAwdOhRz5swp2AlXStsrWqJHjx7w+/347ne/i+3btxek3aRQIZFwwWAQJpOp0+wAtQTP84hEImBZVs6nNxqNbfp8Go1GMAwDhmE61edMpVJhzJgxGDp0KD7++GPs2rULzz//PMaMGYMrrrgio4vbW265Bd/5znewb98+jBw5MotHXaIjlCrJLUBEcjYrydlq2tu9ezeOHz+OIUOGYODAgTnpMiYVMbLdlmuIsNJqtWkXK7VaDYfDAZfLBVEUUV9f36GKZSZ0tjxkIpD1er3iop9Ex0UiEUSj0Tb9m6+//hrPPvssPvnkE9hsNnz729/GDTfcULACuaPpFZlSWVmJRx99FMePH8f/+3//r9SIliE0TUOj0XT6SDiO4+Dz+eD1eiEIAux2O8rKymAymdr8+SRFCZKV39mgaRoLFy7Ed77zHfTs2RM7d+7EU089hT179rT5szFlyhT06NGj1MBX4BT/mTqLkJNINivJ2ahi+v1+rF27FlarFZMmTUo7iU5pEokEBEGQbQ65Jh6Pg+f5NokNvV4Pj8cDs9kMhmHg9XqzOjSA+JALqXmwIyQSCVkgOxyOrHy+iOeRVFrTwfM81q5di5deegnBYFC2VvTv31/xY1KCXNgr0vGTn/wE48aNwzPPPIP169fn5Dk7CxRFwWq1guO4TjdgRJIkJBIJ+Hw+1NfXy754j8fT5upxY8huYlsvcouRiooK3HXXXVi8eDHUajXef/99LFu2rE2DSNRqNW6++WasXr0awWAw+wdbol2URHILZHPaXraa9kRRxMqVK8HzPBYuXAiNRgODwaDoc6QjGo1Cq9XmJTheFEWEw2HQNN1mEUq28t1uN1QqFXw+H0KhkOIVts7mQ04kEvD7/dDpdFkTyMA3ooSmaQSDwWaFyZkzZ/Dss8/iyy+/RM+ePXH//fdj6tSpBdtc1d7hIEqh0WiwdOlS6HQ6PPDAA/D7/Tl77s6AXq+HXq/vNNVkSZLAsix8Ph98Ph9EUZTFMU3THfpuq1QqueGxM+9aUBSFESNG4MEHH8Rll12GU6dO4e9//zu2bNnS6t/9rW99C6Io4t13383R0ZbIlJInuQWymWyRrUl7W7Zswddff40JEyagoqICsVgsJ5VLnueRSCTy5rVlGAaSJLUroolM7YvFYgiHw2BZFna7XZGM587mQ04VyE6nM+t/D3nd/H4//H4/3G43tFotOI7Dxo0bsX37dmg0GsyZMwcTJkwoaBtLttIrMmXIkCF44oknEI1GwbIsRFEs6NetkCAX1vX19YjH40V70UvEMcMw4Hle/j7r9XrFbVPRaBTRaDSj3oJixGAw4Oqrr0ZlZSU++OADrF+/HgcPHsQ111yTdsS9y+XCnDlz8Prrr2PJkiVFf37ojJREcgtkc9oex3FQqVSKPn59fT0+/fRTuFwuzJo1C4FAIGdWi2g0mrfYN5LbaTab231RQzx0er0eoVAIPp9Pkbi4zpSHTKbi5UogEyiKgsPhgM/ng9/vRzQaxapVqxAIBNC7d29cc801cLlcOTmW9iBJknwBptFo4PF48j6J7OGHH0YymYTX60UoFILD4cjr8RQTZMAIGb1cTN9rIo4jkQgEQYBer4fL5YJOp8vK91mtVoOmaXl97goisF+/fnjggQfw6aefYuvWrXj++ecxc+ZMTJ48udnPyk033YQ77rgDO3bsyFlMa4m2Uzzf7jyQ7UqykguTJEn44IMPkEwmcc011wC4KB5zYbUQRVHuzs/HIhgOh+Xczo6i0WjgdDrluLiOeJVZlu00PmTSzKPVarNqsUgHeX83bdqEZcuWIRKJYN68eViyZElBC+RUewVN0zm3V7SEWq0GwzB4+OGHFZkk1pWwWCwQRbFo/LbkQs3r9SIQCECtVsPtdsPlcilePW6M2WyWzxFdBa1WiyuvvBL33nsvXC4XNm7ciGXLljUbITh+/Hj06dMHb731Vh6OtERrlERyC2SrkixJkuJNezt37sTZs2cxbtw49O7dGyzLgqKonIyFJiNI87H1mEgk5OxOpRZ6UlX2eDxQq9WyVzkTD6IgCAgGg53Ch0wqyFqtFk6nMy+Vs1OnTuH555/HwYMH0a1bN9x0000YP358QVemGqdXFKLd5qOPPsKrr76K//iP/+jUvlGl0Wg0csxZIb9upEm0rq4OwWAQGo1GFse5unAnfTHEEteV6N69O+677z6MHTsWp0+fxjPPPINDhw41uA9FUbj++uuxdu1ahEKhPB1piXSURHIasjltL5lMQhRFxURyKBTChg0bYLPZMGvWLAAXq5jZrhAA3yzCNE3nvFmKRL7pdLqsVMw1Gg1cLhesVqtchSFe8taOq7P4kHmeh9/vlyvsuRbIyWQS69atw9KlSxGNRjF//nzceeedMJlMCAaDBXnSzWd6RaZ873vfw/Tp0/HKK6/g/fffz/fhFBVk54phmDwfSVNEUQTDMKirq5PXSI/HA6fTmZddLZPJBEEQOl0qSFvQarVYuHAhbr75ZqhUKrz11lt47733wHGcfJ9FixZBEASsWrUqj0daojlKIjkNoihmbdqekpP2JEnCqlWrwHEcrrrqKuj1eiSTSfA8nxOrBcuySCaTeZk/H4vFIAhCVvNlyeQ+t9sNiqJQX1/fakWks+Qh8zwPn88HtVqdF4Hs9/vx0ksvYevWrejZsyceeOABjB8/Xs5ljsfjiEQiOT2m1sh3ekWmqFQq/POf/4TJZMLDDz8Mn8+X70MqGtRqNcxmM6LRaMFkAYuiiEgkgrq6OoTDYej1epSVlcHhcOQldYig0+mg1WqLxp6SDQYPHoz7778f/fv3x969e/Hcc8/h/PnzAICysjLMnDkTb775ZkFe+HdlivcMnmWymZHM8zzUarUij71//36cOHECI0aMkEfusiwLADkRydFoFHq9PucLMDkZGI3GnDy3VquF2+2GyWRCOByG3+9v9sTYWfKQUwVyPpoO9+3bh+eeew7V1dWYMmUKlixZ0qC5jKZpWK1WMAwj233yTa6HgyhFv3798Nhjj+HcuXP4xS9+UdD2gUKD9GHk+2ItVRwzDAOaplFWVga73V4QF2mk2JBIJNq0G9dZsVgsuO222zB37lyEQiG89NJL2Lx5M0RRxA033IAjR47g4MGD+T7MEink/9tToGRzJLVSfuRoNIqPPvoIRqMRc+fOlX9PrBbZFjYcx4HjODidzqw+T3OQKXm5jBUiub16vR7BYBBerxd2u12+GOkseciCIORNIHMch9WrV+Orr76C2WzGTTfdhEsuuaTZ+5It3FAoBLVanRP/fXMUYnpFpjz00ENYvnw5qqqqSmkXGUAaSsPhMMxmc87f92QyKUesARf7QjqS8pNNDAYD1Go1otFopxpVnSkURWHixIno27cv3nnnHWzcuBFVVVW46qqrUF5ejrfeeguVlZX5PswS/6ZUSU4DqaYoLRCUbNpbu3Yt4vE45s+fL4syURSRSCRyVkXWaDQ5Fyc8z8u5m/k4GZBpfTqdDn6/Xx5A0hl8yEQgq1SqnFssLly4gOeffx5fffUVBg4ciPvvvz+tQAYunmxsNht0Oh0CgQAEQcjZsRKKzV6RDrVajfXr1+Ptt99GPB5v4Jcs0TImkwlqtTqn1eRkMolQKIS6ujpEo1GYTCaUlZXBZrMVpEAGOv+o6kypqKho0NT3j3/8A9OmTcOqVasKZnesREkkpyVb0/ZI015Ht+KPHTuG/fv3Y9CgQRg2bJj8+1xZLZLJpBymn0tBKEmSXLHLhw+aoFKp5C31WCyGc+fOgeO4ovYhE4FMURRcLlfOTraSJOHLL7/Eiy++iEAggDlz5uCWW25p0/tLMpRVKhX8fn9OrQLFaq9Ih91ul6uQ27ZtK3kj2wixEsTj8axbCUhqTl1dHeLxOMxmM8rLy2G1WgtWHKfSFUZVZwJp6rvlllugUqmQSCTAMAw+/PDDfB9aiX9TnGfzHJCtZAslmvYSiQQ+/PBD6HQ6LFy4sMGJmWVZaLXarC+Y0WgUFEXl3FaQSCSQSCQUjXxrL6QyQrx2ZNR4MZIvgRyLxfD6669j7dq1sNlsuOeeezBp0qSM3ltS9SbV/GyLu2JKr8gUiqLwwx/+EPPnz8fRo0fzfThFg9FozGo1mUxrrKurA8uysFgsKCsrg8ViKaqLcpVKBaPRiFgsVroIS2HQoEF44IEHMHLkSJSXl+O1117L9yGV+DfF8+3KMdnKSOY4Dmq1ukOPvXHjRoTDYVx55ZUNxjBLkoREIpH1EzbxYBqNxpwu0CTyTa/X581/2hgy7c/hcMBsNiMQCGScqZxvksmknGqQS4F87tw5PPvsszh27BhGjBiB73znO+jevXu7Hkuj0cDhcCCRSDQb2K8UncVe0RJ33HEHotEofvjDH+bFwlKMkHHVLMsqWk0m4tjr9YLjONhsNpSXl8NsNheVOE7FZDJ1ueEibcFsNuO2227DTTfdhEOHDuHcuXP5PqQSKInktCSTyaxVkjtitbhw4QJ27tyJXr16YcyYMQ1uSyQSkCQp61aLWCwGURRzbncgUUuFUEUGGuYhO51Oecs9Go3C5/MVRVU5XwJ59+7dePnllxGPx3Httddi8eLFHb7w0ev18uufDU9fZ7NXpGP+/Pm48cYbsXbtWvzrX/8qqgu+fELTNDQajSLVZDLAJ1Ucl5WV5W2qqZKQPpZoNFr6bDWCoigsWbIERqMR7733Xr4PpwRKIjktoigWXNOeJElYvXo1ADSxWQAXrRYajSarlS2y1WwwGHJaQUsmk4hEIjCZTHnN+0ylcR4ysV+43W4kk8kOjbTOBUQgS5IEl8uVk/czmUziww8/xAcffACz2Yx77rkHo0aNUuzxjUYjjEYjQqGQYs1nndlekY6//OUvsNvt+MlPfoK6urp8H05RQLzJHakmJxIJ+Hw+1NfXQxAE2O32TiOOUzGZTOB5vkvHwaXDZDJh3rx5WLlyZYcvIkRRbLIOli5MMqMkkptBkqSsVJIFQYAkSe0WeXv37sW5c+cwfvx4lJeXN7hNkiSwLJv1KjLHcRAEIedV5EgkIm9pFgIsy6bNQ9bpdHC73dBqtfD5fAVZMcmHQGYYBkuXLsXOnTvRt29ffOc730FFRYWiz0ESL7RaLQKBQIer+V3BXtEcFRUVePzxx1FTU4Pf/va3pezkNtKeajKxydXX18Pn80EURTgcDng8npw3RucKvV4PjUZTauBLw6JFi3D27Fns2rUr43+bTCZx9OhR/O1vf8OSJUtwzz334I477sDf//53BIPBTvl5yiadf7VvB9kaJNKRpr14PI4NGzbAZDJhxowZTW7nOA6iKGZdJEejUWi12pwOyuA4DrFYDDabrSB8eKTDvKU8ZDKlLhwOIxQKgef5gtmeF0VRToLIleirrq7GG2+8gXA4jAkTJmDOnDlZey9J4kV9fT0CgQBcLle7XnfiB00mk3A4HJ2+etyYe++9FzU1NbjuuuvAMEyD/ocSzUOqycFgEBzHtbhOEnEciUTkHUan0wm9Xl8Q60Q2IbtuoVCoaJI5csm4cePQo0cPvPvuuxg7dmyb/k1tbS1WrlyJZcuWob6+HsDFi7aBAwciGAzir3/9K3bv3o1f/vKX6NOnTzYPv1ORE8URDAbx+OOP48orr8Tw4cMxceJE3H777di9e3eD+4miiJdffhnz5s1DZWUlpk+fjscffzznBv9sZSTzPA+NRtOux/34448Ri8UwZ86cZoUwy7JQq9VZtSIIggCWZXO69Uci37RabUEM6Ej1IbeWh0yqmmSEcn19fd59yqIoyn7pXFWQv/rqK7z00kuIRqNYtGgR5s2bl/WLHbVaDYfDAZ7nEQqFMvq3XdFe0RwqlQq/+tWv0LdvXzAMU9oabyOkmswwTLO3S5Ikrwd+v19OlHG73TAYDJ1eIBNomgZFUaVqcjOoVCosWrQIa9asaZP++fLLL/Gd73wHf/7zn6HVanHnnXdi6dKl2L17N9588028/fbbePzxx3Hy5En885//zMFf0HnI+hny/PnzuP322yEIAhYvXoxevXohEong6NGjqK2tbXDf3//+91i2bBmuvPJK3H333aiqqsLSpUtx5MgRvPTSSzlbPLI1ba+9fuTq6mrs3LkTvXv3xvDhw5vcnmq1yOZrFI1GoVKpcioYWJYFx3HtrgYqDfEhZzKJjozO9vv9qK+vh8PhyMvI6sYCOdve7mQyifXr12Pbtm2wWq246aab2p1e0R50Oh1sNhuCwSB0Ol2bLrJEUUQoFJIzwAul+p9P1Go1nnrqKfTs2RPf+973uvzr0Rqp1eTUNZ+IY4ZhIAgC9Ho9XC5XwST15JrUODiLxVL6XDVi0aJFePrpp7F+/Xpcc801ae/35Zdf4uGHH4bFYsGTTz6JhQsXNrhdEARYLBbMnz8fJ0+exDvvvINHH300y0ffeci6SP7P//xPmEwmLF++HDabLe39jh8/juXLl2POnDl46qmn5N/37NkTv/vd77BmzRosWLAg24cLIDuVZNK0l6kdgjTrURSFBQsWNLuQCIKAZDKZVauFKIqIxWIwm805W8xEUUQ4HIbBYCiIEwnxIZMpb5mg1WrhdrsRCATg8/lgt9tzerFBLBa5EsjRaBQrVqzA6dOn0adPH9xwww15Gf5iNBrBcRxCoRC0Wm2Lf3dXt1ekg+d5vPzyy+A4DosXL87phU6xQtM0IpEIGIaB3W5HLBYDwzDyOm232/NyoVxomEwmRKNRsCxb+r41onfv3hg7dixWrlzZrEiWJAkURWH9+vXgeR6/+93vMHnyZAAXCxQURUGlUkGj0UAQBPnzZjQaceHCBXTr1i2nf0+xktU9zx07dmDXrl34wQ9+AJvNBo7j5IlwjVm1ahUkScKdd97Z4Pc33ngjaJrG+++/n81DbUA2pu2Rpr1MF8Y9e/bg/PnzmDBhQpNmPQLLslCpVFlddEmkVi4tD9FoFKIoFoQXsi0+5NZQq9VwuVwwGAwIBAKIRCI5aegjAlkQBDidzqwLZJ/PhxdffBGnT5/GuHHjcPvtt+d1OqLNZoNGo0k7ka9kr2gZq9WKP/zhD/D7/fj1r39dauJrA6SaHA6HceHCBYRCIeh0Ong8HjidzpJA/jepcXAlmnLttddi69at8Hq9TW4jVpV9+/ZhxowZskAGvtkFJ+cXjUaDYDCItWvXol+/fqioqCi4ZvJCJasi+bPPPgMAOBwO3HXXXRgxYgRGjhyJBQsWyFFmhAMHDkClUmHEiBENfq/X6zFkyBAcOHAgm4fagGxM2yN+vkw8oLFYDBs2bIDZbG62WY/AsmxWmz1SY99y1WAhCAIYhoHJZMp7mkAmPuTWII9hsVgQiUQQDAazulgRgczzfE5Ozl9//TVefPFFBINBXHXVVViwYEHem3JII58kSU1e79T0Cpqmu0x6RabcfvvtGD9+PP75z39i586d+T6cgkYURTAMg3A4jEQiAVEUUVZWBofDUTDxlYUE2e0ped6bMmfOHKjV6rRjqk0mEwRBgMFgkC80yAAgUugjOmLJkiWoqanBVVddBYqiSvaWNpJVkXzq1CkAwEMPPQS1Wo0nn3wSv/vd7yCKIn70ox9h5cqV8n3r6urSejXLy8vh9Xpz1vSUjWl7HMdl3LT38ccfIx6PY86cOWntBoIgtMvGkQksyyKZTOa0GhiJRKBSqWA2m3P2nOlonIfcUUiUncPhAMuycuyT0hBxz/M8XC5X1gXykSNHsHTpUgiCgFtuuaXJsJt8otFoYLfbwbKs3FDVeDhIRy+AOjMqlQpPPfUUkskkfvzjH5cETTOIoohIJIK6ujpEIhHQNI3y8vKCSOQpZAwGA1QqVVYGABU7drsd06ZNwwcffJD2PnPnzsWXX36J1atXQ5IkOYJwz549eOWVV/DDH/4QjzzyCLxeLx599FFcddVVOfwLip+slkzIlU2fPn3wwgsvyCeg2bNn48orr8STTz6Ja665BiqVCvF4PO1JnAhEkqzQGFIZkiRJ9ul0hGQyqfgVf6aT9qqrq7Fr1y707dsXlZWVae/HsiwoisqqZzcajUKn0+VsizCRSCAej8Nut+f9BNMRH3Jr0DQNtVotN/Q5nU7FqpiSJMHv94PjuJxUkLdv3441a9bAZDLh1ltvLUjfqsFggNlsRiQSQTKZRDweh0ajgcfjKVWP28D48eOxZMkSrF+/HseOHcPQoUNLFxW4eL6IRqPy+c5oNMJsNkOtVjdo1rPb7fk90AKFoigYjUZEo1FYLJa8r/mFxtVXX40f/vCHOHXqFPr169fk9htvvBFfffUVfvnLX+Kdd95BMplELBZDbW2tnNc9Z84c3H777XLhQgmd1FXI6pmBVDevu+66Bm+Iw+HArFmzsHLlSpw6dQr9+/cHTdPyeNzGkKll6aqlJCJl9+7dcj5g6naCy+WCx+ORjezkv+SHoiio1Wr5/yvdBCdJEgRBaLOXVZIkrFu3DhRFYd68eS1+mInVIlsLC8/z4DgODocjK4/fmNTIt3z7QpXwIbcGGTySKpQ7KmgbC+RsXkBJkoQNGzZgy5YtcLlcuO2223L2WWkPJpMJwWAQdXV18Hg8pepxhvzpT3+S03QSiUTWc9kLmWQyCYZh5AqoyWSCyWRqYC8i3uRIJAKLxZJ361GhYjKZwDAM4vF4XvsXCpGZM2fCZDJh1apVePjhh5vc7nQ68ac//Qkvvvgi9uzZg0AgAJVKhYkTJ2LWrFmYNWtWkyFcpTWv7WRVJJNGM4/H0+Q28juSYVpWVoYTJ040G8BeW1sLj8eTdoEh93/ssceavf2+++7DfffdJ1eaRVEEz/Py/07d6pYkCQzDgOM4xONxqNXqBj8ajUYW1G39oJHnamt1+ujRozhz5gwuu+yytM16wMVFmuO4rFYoGIaBWq3O2ckwFouB53m43e68fpGV9CG3hkajkYWyz+eDw+Fo9+tNjjsXAlkQBLz33ns4cOAAevXqhZtvvrkgsqzTQdIr1Go1aJouNaC1A+Lt9vv9OHPmDAYNGtTlTriCICAajSIWi8ki2GQypS1UGI1GMAwjT+gs0RRyjonFYp12ymB7MRgMmDt3Lj744AM89NBDTV4bSZJA0zQeeughAIDX620SUZqtWNuuQFZF8ogRI/D666/jwoULTW4jv3O5XACAyspKbN68Gfv27WswYSaRSODIkSOYOHFi2uchW6VPPPEE+vfv3+R2j8fTYvxcqljmeR6CIMjbZclkEjzPg2XZBidViqKg0Wga/Gi1WqjV6iYf4kwm7ZFsWZ1Oh5kzZ7Z4X1Jhz5YQSiaTYFk2ZxmWxNNH03Teu7/bk4fcEVQqFVwuFwKBAPx+P+x2e8aCkwjkRCIBh8ORVYHMsixef/11nDlzBpdeeikWL15csE1JkiQhFoshHA5Do9GgvLwcgiDA7/eDYZiCGXVeLFAUhWeffRZ/+MMfsGPHDgwZMiTfh5QTSDNxLBaT+yVaEscEkgccjUZhNptLdoI0GI1Guck43+t/oXH11VfjnXfewf79+5uEGzQ+N5MCZKowLonj9pNVkTx79mw89thjeOONN3D99dfLH/wLFy5g48aN6Nu3rzweccGCBXjuuefwyiuvNBDJb775JuLxOK6++upWn69///4YNmxYxsdJ7Bbkg6TVamE2m5t8UUVRRDKZlHOJBUGAIAhyBzN5LCKYyX85joNWq22T0NyxYwf8fj+uuOKKVpvWiI87W1+AXMe+MQwDSZLyXm3Jpg+5JUgKQygUQjAYhCiKbW5cJMkNRCBns/IfCoXw6quvwuv1Yvz48Zg7d27BnvhTh4OYTCZYrVb5O0q2wfV6femknCFjxowBwzD42c9+hrfffrtg338l4HletgKo1WpYrVYYjcaM/maSB0x8tyWaotfroVarEYvFSt/HRkyYMAEejwfvv/9+E5GcypEjR0BRFAYPHtyiLih5kttOVkWyzWbDf/3Xf+FXv/oVbrnlFlxzzTWIx+N49dVXIQgCfvnLX8r3HTx4MG677TYsX74cDz30EKZPn46qqiosW7YMEydOzNkgkZa2JYhnuXHFjFSiiWjmeR48zyMej8tVLK1Wi2AwCK1WC51OB41G0+RDGo/H8dlnn8FqtbZYOQcunvw5jsvagkti3zI9GbQXUqXJt28vFz7kliCjrFUqFcLhMERRbLWSTwRyPB6H0+nMqkCur6/H0qVLEYlEMGfOHEycOLFgF9vWhoNYLBZwHIdAIACPx9OphZ7SzJs3DwsXLsTKlSuxYcMGzJkzJ9+HpDgcx4FhGLAsC7VaDZvN1m4rALH4kGpyoX5n8glp4GMYBlartfR9TEGtVmPhwoX44IMP8LOf/azZc+TKlSvx05/+FGPHjsXLL7/cpBmZ7JY3pz1KpCfrLd033XQTHA4H/vGPf+DPf/4zKIrC6NGj8eCDDzaJiPr5z3+OHj164I033sCnn34Kp9OJO+64Aw8//HBOp7wBmU3bS61Ep25xkyl7Fy5cgMFgAM/zcnWWoig5MYL8fP7552BZFvPnz2916zqRSECSpKwJong8DlEUc9ZEEQ6HoVar8xr5lksfcktQFAWr1Qq1Wo1QKARRFNOOR04VyNmuINfV1WHp0qWIx+O47rrrmh2RXgg0tlekS68g77PX60UoFCo18WXIk08+iY8++gi/+MUvMHPmzIK122QKx3GIRCJIJBJydCBN0x3+bJjNZsRiMcRisVJzWhqMRiMikQhYli3o/oZ8sHDhQrz88svYvn07Jk2a1OT2UaNGwWg0Yvz48c1m75MiH3Cx74mmafTu3RtAqbLcEjnJPZozZ06bKg1qtRp333037r777hwcVfMoOW2PPIZWq5UnnUmSJAencxyHaDSKSCSCcDiM7du3o7y8HIMHD271Q8uyrGzpUBpSRdbr9TmJxmJZVs6qzecXNdc+5NYwmUygKEoegNFYxEmSJFsJsj1G+cKFC1i2bBkSiQRuuOGGgvWhprNXpIOIoEAgAL1eXzoxZ8DgwYNx77334rnnnsMbb7yBb3/72/k+pHZD1mWGYWRxTC46lVqTNBoNaJoGwzCl5rQ0kEITaeAr8Q3Dhw9Hjx49sGbNmmZFct++fbF79+60/762thZLly7Fu+++C7/fD4fDgVGjRuGXv/xlQUZ2Fgr5VwIFRjKZVHS7n+d52QMJQM40NpvNcDqdKC8vh8fjwe7duyGKIiZMmACfz4eamhr4/X5Eo1F5gg6BRDBlq2pIRHwuqrok8k2n0+U1Tor4kK1Wa0H54YxGozx0JBAINMgED4VCiMVicqUrW5w7dw6vvPIKeJ7HzTffXLACufFwkHTV98bQNA2j0YhQKNTku1aiZR599FFMnz4dNpsNHMfl+3AyhqylPp9PHurjcDjk0eRKC1mTySQ3RJdontIEvuahKArz58/HunXrWlynmnvdBEHA008/jRdffBFqtRozZszAtGnTsGnTJnz/+99HdXV1Ng+9qCmJ5EYoPZKaTNpLt9hSFIXq6mocP34cQ4YMwahRo+B2u2E2m+WqWF1dHerq6hAOh8FxHFiWzarVIhqNQqPR5EQskouAtgqabJBvH3Jr0DQNp9OJRCIBv98PURQRDodlgZzNYz5z5gyWLVsGURRxyy23YODAgVl7rvZCdj7q6+tBUZQscDKBeCCzPSa8s1FRUYFPPvkEEydORDgcLprXjgz5qK+vh9/vB3Axb9btdmdFHBOItY4MHinRlNIEvvTMnz8fgUAA27ZtS3sfrVYrJ18RPv/8c7z55pu49tprsWLFCjz77LN4/PHH8cQTTyAQCOCNN97I9qEXLSWR3AilR1K3FmdDBoeoVCrMnj1b9ipbLBa43W5UVFTI47pjsRjq6+tRU1MDjuMgCILiJyVBEOTJhtkWrSSM32g05s3PWCg+5NbQ6/VwOp3gOA7nz5+XJ3hlUyCfPHkSr776KgDgtttuwyWXXJK152ovoigiGAwiFArBaDTC7Xa3yyKkUqngcDjkLfcSbYd46Ddu3Jh2IFShQMSx1+uVhy64XC64XC5FrRUtYTabwXFcUVbecwFp4CON7yW+YdiwYejduzfWrFmT9j7Hjh3Db3/7Wxw7dkz+3VdffQW1Wo277rpLjsAEgKlTp+Lyyy/HunXrsn7sxUpJJDdCyUoySbxoSQAeOHAA1dXVGDdunJwZnYpKpQJN07Db7SgvL5f9shRFIRAIoKamBoFAQK4ud5RoNCrnemYbMjIzn5FIxIfscDgKwofcEqQKRSZMZtOecvz4cbz22mtQqVS4/fbb5ajGQqK99op06HQ6ORauJGAyY/Xq1bj55pvx5JNPFqSwIc2cRByr1Wq43W64XC7o9fqcXhyTXo/SxVh6jEYjRFEs2VIaQSwX69evT2tH2b9/PzZs2IC6ujr5d2VlZbBarejXrx+SyaRcSCBJK2q1GoFAICd/Q7FR2Kogx0iSpGglubUhIslkEp988gn0ej2mTZvW6uORUdtarRYVFRXweDwwm83geR5+vx81NTVyVm57TlSiKOZs4hFJ+iBDW/JBofqQm0OSJLnjvqysDGq1WrZeKM2RI0fw+uuvQ6fT4c4770TPnj0Vf46OoIS9Ih0Wi0WOayxEsVeoXHXVVRgwYAD+9re/4ezZs/k+HBnyWamrq0MwGJSnW7pcrrx95ymKgslkAsuyJQ98Gojdr2S5aMr8+fMRDAaxdevWZm8fMWIEOI5rYLmorKxEKBTC1q1bG5xvz5w5g88//xz9+/fPa7JUIVMSySkQwaGUaGvctNeYr776CoFAAJMmTWpz5ZZlWahUKuh0Omi1WlgsFpSVlcmCmeM4+Hw+2cOcSfMD2d7KdjwRaTrTaDR5i0IqdB9yYxiGkfND7XY7nE6nPDVOSaF88OBBvPnmm6BpGnfeeSe6deum2GMrQaq9gqbpdtsr0kFsN8lkEuFwWLHH7exotVo89thjYBgGv/vd7/I+8lsURTAMg9raWoRCIeh0Ong8HjidzoK4ICb58yVvcnpomkYikZBnF5S4yJAhQ9C3b9+0louBAwfCbrdj06ZNst9+5MiRmDNnDp599lk89dRTOHjwINatW4ef/vSn8Hq9mD17dqeJcFSakkhOgXwZlawkp5u0JwgCPvvsM9A03ergEEJqqkXjxySC2ePxwO12w2AwyNuLXq8X0Wi0xRMXqbjQNJ31yi7LsuA4rtV4rmxRLD5kQiQSQSQSgdVqla/2dTqd4kL5yJEjePvtt2E2m7FkyRKUl5d3+DGVpLG9IlvvHfkuRaPRJg0wJdJzww03YOzYsXjllVdw8ODBvBwDGW1PigQGgwFlZWVwOBwFJQKI7zYWi+X9gqJQIQ2UxF7W1SExhZFIBFOnTsX69evT2sJuu+02rFu3Di+88AJqamoAAL///e8xZMgQPPPMM7jrrrvw/e9/H1VVVfjVr37VponGXZWc5CQXC9moJKcOF0ll165dCIfDuPLKK9PepzFkol9LY5tTh5RYrVawLIt4PI5QKIRwOCzHXTUW74lEAoIgwG63Z/Q3ZgqJfDMYDHmLfCu0POSWYBgGkUgEFoulyXYYEco+nw9+vx8ul6vdovHkyZNYsWIFaJrGHXfcAbfbrcThK0Jbh4MoCdkODwaDpWl8bYSiKDzxxBOYOXMmHn30Ubz11ls5e91EUZTHPkuSBKPRCJPJlJOc9/ZiMpnAMIxsOyvREJVKJRd7ctFIXoiQgWTxeBzRaBR79+7F559/jk8++QSRSATbtm3D1KlTm/y7m2++GQDwxz/+Ea+//joGDx6Mr7/+Wm6sDYfDGDduHG655RbMmjULwEW9UprG15TCXUHygJKVZNK019zix3EcNm3aBLPZjHHjxrX5MVmWlXOW2wJFUaBpGjRNI5lMytOeyJhso9EImqblbT8irrMJwzBIJpPNNinmAuJDttlsBbHt2hIMwyAcDsNsNqdtbtTpdHC5XLJQdjqdGS9yX3/9NV5//XVoNBrcfvvtBSWQMx0OohSp0/gikQhsNlvWn7MzMGPGDDz22GOYPn26bA/KJslkUhbHwEUbQz77HDKBjKruyiKwNWiaRjwebzUlqjORKozj8Th27NiBzz//HJs3b4bf70dFRQWuueYarF27FuvXr29WJJvNZtx7770YNWoU3njjDdTU1MDtdqNPnz4YM2YMFi5c2CTvvpB2WgqJkkhOgSRbKLFYES9wc1/s7du3IxqNYsGCBRl9MFmWbXcntlqtlquRiUQCsVgMoVAIkUhETkzItnAlkW/5qvAUkw85Go22KpAJpKLs9/sRCAQymlxYU1OD1157DcDFLbqKiooOH7tS8DyPQCCAZDKZ9YmCzaHRaGC1WhEKhWAwGNp8cdrV+fnPf45wOIxoNAqTyZQVwUrWEtLYZTKZsvZc2cRkMqG+vh6JRCKvw5QKFb1eD7VajXg83qlFMrFSkOmzZKiZwWDA//3f/0GSJCxatAjz5s3D8OHDoVKpoNFo8P777+PXv/512s/92LFjMXbsWDna0ul0pj2Gbdu2YcWKFfiP//iPgrPa5ZOSSE5ByWQLjuPkaJVUWJbFF198AbvdjssuuyyjY1NiCh5FUbLVQRAExGIx+Hw+CIKAeDwOtVqdtcUoHA6Doqi8RL4Vkw85Go0iFArBZDLBYrG06Vj1ej0cDgcCgQCCwWCb/kafz4fly5eD53nceuut6NWrl1J/QofIh70iHSSvNRQKwePxFPTnppDQ6/V48cUXMXbs2GYrXe1FEAQwDIN4PA6KomA2m2EymYrWDqPVaqHVahGNRksiuRnIbmgsFstbD0u2IMI4Ho+DZVm5SGcwGEDTtGyJ/Ne//tXs2nPllVfipZdewp49ezB27Ni0z0EsmEQgkx1ztVqNLVu24J133sEnn3wi78ZccskleOCBB7L4lxcXJZGcgpIZyema9rZu3QqWZTF37tyMnitTq0VbIOkSDMPAbDZDEATU19fLebFK5oeSxcBms+XlhFYsPmRS4W+PtcBgMMBut8tDElr698FgEEuXLkUsFsONN95YMINC8mWvSEeq7SIcDpdsF23k+PHjeOSRRzB79mx89NFHHV5XeZ6XxbFKpYLFYpETIooZEgcXDAYhCEJBe6jzBU3TYBgGLMvmfDdJadIJY6PRCIPB0KxmKCsra/axRo0aBY/Hg/Xr16cVyRRFQRAE2WIIfNNz9e677+JnP/sZgIuCe8CAATh8+DDee++9kkhOobhXGIVROiO5cUU2Fovhyy+/hMvlwogRIzJ6PJZlodPpFD8pxGIxUBQFl8slRyQBgN/vh9frRSwW63BeLGnWIz7oXFMsecixWAzBYLBD4pAMnolGo/KwlsYwDINly5YhHA5j0aJFTbxp+ULp4SBKodFo5LSL0pCRtlFZWYlvfetb2LBhAzZt2tTuxyEZ8F6vFxzHwWazoby8HGazuegFMiG1L6REU0i1vVhTLkgqVTAYRG1tLXw+HziOkyeEkkEfOp0uo/WOTOldv3592nN0IBDA3/72N7z77rsALmocct/Zs2fjoYcegsPhwB/+8Af84Ac/wC233ILTp0+jurq64394J6FzrDIKQXxASjxOMpls4jfevHkzOI7DzJkzM1rgRVHMimctNfaNTPEzGAxwu91y/mwwGERdXZ3cNd4e4vF43iLfisWHHI/HEQwGYTQaO/w6kccg2cqNn2fZsmXw+/1YsGBBxhdr2SCbw0GUwmQylYaMZMivf/1rAMBjjz2WcdYtx3GyOOZ5Hna7HWVlZZ2ywY1Uk0txcOkhmcnF8voQYRwIBFBbWwu/3y8LY4/HA4/H0y5h3Jg5c+bg/PnzOHToULO3cxyHTz75BHv27AGABj1XFosFM2fORCQSkW/v3r07unXrJovqEiWRLCNJEkRRVKQ60dykvUgkgh07dqC8vBxDhw7N6PHIaE6lRXI8Hocois0O9CAeJo/HA51Oh1Ao1C6xTHJLaZrOeeNTsfiQ4/E4AoEAjEajYtVTs9kMs9mMcDgsV2A4jsOrr76Kuro6zJo1K6NklWyROhyEVFYKccuZfIaIJ7ZE6wwfPhzXX389NmzYgM8//7zV+0uShEQiAZ/Ph/r6ejmSsqysLCdTQPOJ0WiEJElFWy3NNjRNy8KzUCHvXyAQQE1NDfx+P3ieh8lkaiCM081OaA/jxo2DzWbDunXrmr2dNODZ7fZmpxc6HA706NED69evl+8/ZcoUfPDBB4ocX2egJJL/jZIZyTzPQ6VSNXisLVu2QBAEzJw5M+MvCLFaKNm5Tap3er2+xYQNrVYLh8OBsrKydollhmEgimJemvWID9nhcBTs1ixZVGmaVtxeQHybgUAA8XgcK1aswPnz5zFlyhRMmTJFsedpL4Vqr0iHVquF2WwGwzClccJthFSTn3zyybSvGRE/Pp8PPp8PoijC4XDA4/F0enFMIA1bStjbOiNqtRp6vb7gLiJEUWwgjAOBgBz96vF4UFZWJo+6z9bgo5kzZ8oitzmGDx+O/fv3o76+Xj7m1Em8ZKcXAKxWKyZNmgSv14tAIKD48RYjhakc8kBqx2dHady0F4vFsGvXLpSXl2PQoEEZPRaprihdReZ5Xr7KbQsajUY+cRGx7PV65VHWzUEaBsxmc86rg8XgQybbccRHrPQiSlGUnAe9atUqHD9+HCNHjsQVV1yh6PNkSjHYK9JhsVigVqtLtos2UllZieXLl+OJJ55o4rkl4ri+vl4en+t0OuF2u+Vpa10Jk8kkr8slmlIoY6qJMPb7/aitrW0gjMvKyuDxeGRhnAtmz56NqqoqnDlzptnbFy1ahBMnTmDDhg0ALnqZybGtXr0adXV1DRJopk2bho0bN8LhcGT/4IuAwtvXzBOkkqyU3SL1pP/ll1+C53lMmTIl44U/kUhAkiTFRTLDMNBoNBlbIEhl2Ww2IxKJIBAIQKvVwmq1NnmscDgMlUrVZiGuFMXgQyYCmSRSZEsQUBSF48eP49ChQ+jevTsWLFiQV/FRaOkVmUIuPHw+H+LxeMF+vgqJ2267DZFIRE7RUalUYFkWDMPIDc4ul6vD/sxiR6fTQaPRyIOdSjTEYDDIY6pzPaFQFEU5w5ick8n4eoPBkFeL2OTJk6HT6fDJJ59gyZIlTW4fO3YsJkyYgOeeew7hcBhXX3016urq8P7772PlypUYPnx4gzha8tqS+LiuTkkk/xulpu2Rpj2yyLEsi+3bt8PlcmXsRSb/XqPRKPolFAQBLMt2aHtbq9XC6XSC4ziEw2H4fD7o9XrZc5VIJORt9FxaHYrBh5xIJBAIBORs42we45EjR7Bu3Tq4XC7MnTsXwWAQbrc7L/aTfA8HUQq9Xg+apuXx6oVq5SkkeJ7H//7v/2LevHkYPXo0BEGAXq+Hy+UqDWn5NxRFwWg0IhKJKNZE3plQqVSy5SIXIrk5YazT6QpCGKdiMpkwceJEfPzxx82KZAD40Y9+hL/+9a949tln8eyzz8q/nzx5Mh555JFmh0gV4rkzHxTGu1wAKDVtr3HT3o4dO5BIJDB37tyMT6ZkO1LpalUsFoNKpVJEpJAqEMuyiEQi8Hq9MBqNSCQS0Ol0OQ/IL/Q85EQiAb/fnxOBXF1djXfeeQdGoxG33XYbLBYL6uvrEQgE2jW+ur0U0nAQpbBarXJ2st1uz/fhFDSSJKGqqgp/+ctfsHv3brz99ttwu92lamkzEJGcj2ppMUDTtGxvyMYaQoRxPB5HIpEAAFkY0zRdsBcuM2fOxO9+9zuEQqFms9yHDh2KJ554Aps2bcLx48fBcRyGDx+OSZMmwWazlarGLVDcZyoFUSojmeM4qFQqqFQq8DyPL7/8ElartV1RWxzHQRRFRYWmKIqIxWKKBvGTqUgGgwHRaBR+vx8sy6YNQc8WxIdMfLiFBhHIOp0u6wI5FArhX//6F0RRxM033yz7yxwOB/x+v7yYZnthTLVXKJnekW/ImHeSylGIn7d8Qy6OGIZBjx49cO2112LlypU4ePAgpk+fnu/DK0hUKpXcwNcZ4+46SqrlQqlm8GQy2aBiDFwUxjabDQaDoWCFcSpXXHEFfvOb32DTpk246qqrmr2P2WzGggULmk3xKn3O0lN4pbY8odS0PeKxoygKu3btQiwWw+WXX96ux2ZZFmq1WtEGgJZi3zoK2S4kk/xisRi8Xq+88GSTQvchk9xXEq2XzUUpkUjgtddeA8MwWLx4cYNx03q9HjabDbFYLOvDCxqnVxSq/aW9GI1GaLVahEKhUhNfCqIogmEY1NbWIhQKQafToaysDI8++igA4E9/+lPR5N3mA6PRCEEQSoNrmoFk+Xc0Ci6ZTCIajcLn88mfUwDysBq32w2TyVQUAhkAKioqMHToUHzyySdp70NRFCRJkgVy6TvYNkqV5H/T3PCPTJEkSU6MEAQBW7ZsgclkwujRo9v1WCzLylfOSpA6PCRbX/5IJAKKolBeXi5XEX0+H2iahtVqzcrzFroPmeM4+Hw+2cedzeMTRRFvvfWWnIU8bNiwJvchJ2Fif8jGkJrOZq9oDtLEV19fL1f+ujKiKCIajcrxkDRNN0i2GTlyJObMmYNVq1Zh//79GDlyZJ6PuDAhDXyxWKzk124GmqblDOJMztmkYpwaeUaKBsVSMW6JK664Aq+88kqLr0vquacQ7YiFSOlV+jdKNEokk0mIogitVouvvvoKkUgEkyZNapf4FgQByWRSUQGTSCQgCELWTuY8zyMajcoxWVqtFi6XC3a7HYlEosOT+9JRyHnIuRTIkiRh9erVqKqqwujRo3H55ZenvS9pPgkEAopGTqUOB6FpumCHgyiFTqdr0GzVFUkmkwiHw6itrQXDMKBpGmVlZbDb7U3e+5/+9KcQRREvvPBCqfqeBrIjx7JsqdrXDHq9HhRFtamanEwmwTAM6uvrUVtbi3A4LBdTKioq4HK5iqpi3BJket6uXbvyfSidis579soApabtEbGhVqvxxRdfwGAwYOzYse16rHg8DpVKpajXMRqNQqvVZi2/MRwOQ61WNxDhZME3GAwIh8MIhUKIxWKw2+2KHEch+5B5noff75cFcrYF/Pbt27Fr1y7069cPCxcubFGQkxOFz+eD3++H2+3u8Imis6RXZIrVapUbV7tSEx8RIGSSl8lkalVwzJgxAytWrMCYMWNK1fcWIOkpJCqxxDcQy0U6XzJJb4rH4+B5HhRFQa/Xw263d+o0mmHDhqGsrAwff/wxJk6cmO/D6TR0zk9Lhig1bY/neajVahw+fBiBQAATJkxo93YZy7LyFbMS8DyPRCKRtWYQ0vSQLvdWpVLBbrfD7XZDkiQ5GaAj1aRC9iHzPA+fzwe1Wp0TgXzmzBk56u3GG29s02dZpVLB6XTKdpX2vhfFPBxECVQqFSwWC2KxWJfwkZLvXV1dnZzCUF5e3iY7FUVR+Na3vgWbzQaGYUrV5DSUJvC1DE3TEARBLkyRcfFerxd1dXWIRCJQq9VwOBwoLy+H0+lUtFm9EKEoCjNnzsRnn32W70PpVHTeT0wGKDVtj+d5aDQafPHFF9BqtZgwYUK7HkcQBAiCoKjVIhqNQq1WZ0W8SJKEcDgMvV7f6jHrdDp5IlE0GoXX622XsChkH3KqQM5FFF0kEsGKFSugVqtx4403ZvS5ISKe5F1nSqq9wmg0dnp7RTpIE19HL/wKmVRxzLIsLBaLPHY308/4uXPn8JOf/EQelVuiKUajsTSBLw16vR6SJMHv9zcQxmQyLBHGNE13amHcmGnTpuH06dP4+uuv830onYau8+lpASWm7ZGmverqatTV1WHMmDHtFqQsy8pbREpAxmgajcasiMloNApBENo8PY2iKFgsFrjdblAUhfr6+ozFRaH6kAVByKlATiaTWLFiBRiGwTXXXNOu2D0SdxSNRuWt87bQOL2is8S7tQeKomC1WsFxHOLxeL4PR1GIjaaurk7eLSorK5On57WHzZs3Y+nSpSVvcgvo9Xqo1eqMvpOdGXKOJXn8iUSigTCuqKiQbV6FdE7IJRMnToRWq8Xnn3+e70PpNHTNT1IjlJi2R5r2du3aBYqiOuQJIlYLpb7oZJHNhiUhmUwiEonAZDJl7DHWarVwu90NqsptqZoQH7LVai0oHzIRyMTGkIuFev369Th79iwmTpyIysrKdj+O0WiE0WhEKBRqtbLf1e0V6SA7KZFIpFMIPxJbSHZ7bDZbh8UxYcmSJfB4PPj73/+e9SjCYoXkz7Ms2yk+T+2BCONwOAyv1wuv1wuGYeSmcJKgQtN0l71AT8VsNuOyyy4riWQFKYlkKDNtj+d5SJKEvn37Yty4cc1OvWkLyWQSHMcpZrXIduwbiXxrb7B7c1XllkRGofqQiUCmKAoulysn3dL79+/Htm3b0Lt3b8yePbtDj0XizDQaDQKBQNqu+pK9omWsVqucE1yskESW+vp6CIIAu92OsrIyRfsZaJrGww8/jPPnz2P58uWKPGZnxGg0ylPgugqSJMn2LyKMY7GYnDFPKsZWqxUqlapLvTZtYdq0afjyyy9zMp+gK1ASyVBm2h7HcdBoNJgxYwbmz5/f7schX3ilRDLLskgmk1npkOZ5HrFYrF2exMaQqrLJZEIkEoHP54MgCA3uU6g+5HwI5Lq6OnzwwQcwm8244YYbFHlOiqJabOQr2StahwzSYRimqCLhJElCIpFAfX096uvr5YQSj8eTNZvWgw8+CJPJhL/+9a9douGxPWg0Guh0uk5vuUgVxnV1dXL2OBHG5eXlcjoF+SwqNVikszFt2jSwLIsdO3bk+1A6BSWRDGUyksmkvY7Csix0Op1iW/XRaBR6vV7x2DdJkhAKhaDRaBSr6BJfp8vlQjKZRH19fQN/ZyH6kJPJZM4FMsuyeOONN5BMJnHDDTfAbDYr9tikIzyRSMjV0JK9IjPMZjMoikIkEsn3obQKGVrk8/ng8/kgSRKcTqf8HmfzIsjpdOLee+/F4cOHsWHDhqw9T7FD0zQSiURRXXS1BSKMQ6FQA2Gs1+vhcrmaFcaNMRgM4Hm+SUGlKzNw4EBUVFSULBcKURhKI890dCQ18U11VIiKoqio1YLjOHAcl5UqMsuysk9R6ROpXq+Hx+OBXq9HIBBAMBhEPB4vOB8yEcgAciaQJUnCypUr4ff7MWfOHPTu3Vvx59Dr9bBYLIhEIojH4yV7RYakRsIVajKBJEmIx+Oor6+H3+8HcFG0ut1uRad8tsZ//ud/YtWqVRg1alSnE4FKQS5WOkNDKNmxSBXG8XgcBoOhgTBua/xpJoNFugoURWHatGklkawQpbMdOm63EAQBkiR1WCQnEglIkqSYSI5Go9BoNIqPNiWRbwaDIWtjU0muMhHK9fX1sNlsBeNDJgJZkqScCWQA+OKLL3D06FEMHz4c48ePz9rzmM1mxONxnD9/HjRNy3FKJdqG0WhENBpFOByGy+XK9+HIEHHMMAwEQZCrdjqdLi/WmR49eqBbt26ora2VrVslGqJSqeTM5Gzl3GcTUjEmAz5IUcpgMMBgMHTos6dSqaDX68GyrKI7asXOtGnT8Oabb+Lrr79Gr1698n04RU2XrySTaXsdETmkWtRRkcyyLLRarSKVumQyKU9rUnpRZRgGoijCarUq+riNId3dpKmS5/mCqBg0Fsi5qqyePn0aH3/8McrKynDVVVdl7WQpSZJcBaUoClqtVtHM7q4AaUhNJBIF0UBD3lOv14tgMAiNRgO32w2Xy6Xo0KL2QFEUNm/ejOeff77Lpji0RuPhGYUOqRgHg0HU1tbC5/OBZVl5VH1ZWRlsNpsinz2DwQCO40o7ESlMmjQJGo0GmzdvzvehFD1dXiRnmpEci8UgCAISiYQs2MgQkY7mLLMsq2gVmYhMJSGjaE0mU07EIclP7tGjB2iaRiAQQCgUytvJNF8COR6P491334VGo8ENN9yQNctJanqF2WxGjx495GlWJTKDVMnyOWCE+Mnr6upkcezxeOB0OgvGtgQAv/nNb/Cb3/ymNFwkDSQStJAtF+QcliqME4mEbNMiwljpXQtyziyEAkqhYDabMWLECGzdujXfh1L0dHm7RVun7QUCAWzduhWnTp1COByWp/p0794dZrO5XUMcUlHSakGqRtkYwxkOh0FRVE62togP2WazydYOIjp4nofD4ciZzQG4KCD9fj9EUcypN1eSJHz44YcIh8O4+uqr4Xa7s/I8ZGgESTYgF1jEn6zT6bJmr+mMkEZUkgiSS7uKKIqIxWLyrg/Jk1W6gVcJKIrCww8/jPvvvx8vv/wy/vM//zPfh1RwpGYmt3VoUy4gFWOWZcGyLERRlJu5aZqGRqPJ+rGqVCrodDokEoms9N8UK5dffjmWLl2qSDBBV6ZUSW5DJTkUCuHNN9/E3r174XQ6UVlZCZvNhhMnTuCjjz7CunXrsGvXLrmJqz2wLAuNRqOI8IrFYhBFUfEFg0wTI/mU2UQQBIRCoQZ5yBRFwWQyyekX7R1p3R5EUYTP50MymcxpBRkA9u3bh4MHD2LIkCEYPXq04o/fWnqF2WyGTqdDMBhMm59conl0Ol1OB4yIoohIJIK6ujq5b6CsrAwOh6MgBTLhtttug81mwz/+8Y+CsKcUIjRNyzn6+YRUjAOBAGpqauD3+8FxHIxGIzweDzweD6xWK7Rabc7EvMFgkAtNJS4yadIkhEIhHDx4MN+HUtSUKsltmLa3ZcsW8DyPm2++GZdcconsC0skEjh+/Di2b9+O7du348yZM5g3bx769OmT0TGQRUeJPFIieAwGg6JCjkS+abXarFfEWstD1ul0cLvdCAQC8Pl8WW/oayyQcyk2AoEAVq9eDYvFgquvvlrxk44oigiFQvLY8ubSSiiKgsPhkP2sDoejYCpZxYDFYpEHImSr0kUGmMRiMUiSBKPRmDNLlBKYzWbcdddd+L//+z989NFHuPbaa/N9SAUH6VeJx+M539Eh5yjyI0kSNBoNzGazfK7J55pgMBgQDoeRSCRK/RP/ZsSIETCZTNiyZQtGjBiR78MpWrp8JZlsRbT0Ba+qqsLAgQPlLlGtVgutVguz2YzBgwdj3rx5uPbaa8GyLFasWJFxRZnneYiiqMiXm+M4CIKg+Mk4Ho+D5/mcDJBoSx6yWq2Gy+WC0WiUPbTZqCIQi0U+BLIoinj33XfBcRyuvfZaxS8EGg8HaWlAi1qths1mkzvUS7QdcmHJMIzin9FkMolwOIza2lpEo1EYjUbZ+1ksApnw4IMPgqIoPPvss6UmrGYglot4PJ6zXYl4PC5XjAOBAARBkO2FZWVlsFgsOa0Yp4PswpZ8yd+g1WoxYcIEfPHFF/k+lKKmuFbRLNBasgXJcAwEArJAIgsURVHgOA40TaNnz54wm81Yvnw5du7ciblz57b5GFiWhUqlUkSAkbn2SjbliKKIcDgMmqaz3uyT6kNu7blSRymHQiHFB40QgczzfM4FMgBs3rwZX3/9NSZMmID+/fsr9rjEsx4Oh+VGrrYIKjLUIBQKQafTFZ0IyycWiwV1dXWIRqOK+PlJAy2ZxGYymWA2mwtmyE57GDBgAP72t79h+PDhiMfjpUivZqBpGpFIJGsed1EUkUgkEI/HZfuCVquFxWJRfHdSaUhMniRJeRfthcLkyZPx+OOPyz1KJTKneFdUhWgtI5mmaZSXl+PYsWM4fvw4gIvijHwJOY6DVquFWq1G//79MWTIENTU1LTZV5eaatHRLzZJ3VA69o1UwLId+dacD7ktEJ8yqYwqMX1JkqQGAjnXSQDnz5/Hp59+irKyMsyePVuxx01Nr2jPcBDiRw8GgyX/XwaQZibSSNdeBEFAMBhEXV2dLCTLy8tz0ieQC773ve9h+PDhiEajpc9XM2g0Gmi1WkV3c0iTp9/vR21trdy8a7FYUFZWBo/HA7PZXNACGbiYACKKYtHE5OWCyZMng+d57Ny5M9+HUrQU/6raQdqSkTx16lTY7XasWLECn3/+ObxeL5LJJCRJQjKZlAUUqSpn4hkTBAGCIChitYhGo1CpVIpWGARBkKtf2eyQbc2H3Bp6vR5utxuSJKG+vr5DzS35Fsgcx+Gdd96BSqXCddddp9jJqbG9oj3WGZVKBYfDAY7jSrFwGWKxWOSegUwhySN1dXVgWVYWMBaLpVOI41QoisJrr72GYDCY70MpSMiOTkcutogw9vl8qK2tlZtyi00Yp6LT6aBSqUqWixQuueQSlJeXY8uWLfk+lKKleL4BWaK1SrIkSbDb7Zg3bx7WrVuHTz75BMeOHcOQIUNQXl6OZDIJp9MJADhy5Aiqqqpw2WWXtfn5WZYFRVEdbsQgi57ZbFa0ihwOh6FSqbK+9Ul8yC6Xq90nfWId8Pv98Pl8cDgcGV98EIHMcVzesmTXrl0Lv9+PuXPnory8vMOP1157RTp0Oh3MZjMYhoHBYCjo1IRCQq1Wy5P4TCZTmz7nPM/L2+vEF65Eg28h88orr+CRRx6BRqPBww8/nO/DKThSm9QyKYgkk0m58Y7sdOp0OlitVhgMhqKPCSPn0VI6yjdQFIXLL7+8JJI7QJcWyW2ZtkdORoMGDULv3r2xa9cu7N+/Hx9//DEMBgNMJhNMJhMkScLZs2fRu3dvTJgwoc3HoJTVgngTlfQdkfzLbKcZZOJDbg2VSgWXy4VAIAC/3w+bzdbmJkZSzSYCOR+ZwEePHsXu3btxySWXZPQ5SkdqeoXJZFIsY5VMkwsGg3C73Z1atCmJ2WxGLBZDNBptcQQzqdR3JXFMuPPOO/HTn/4UL7/8Mr73ve8VvXhTGo1GA51Oh3g83qpIbk4Y6/V6OXu+s722pH+olA38DRMmTMA777yDQCAAh8OR78MpOrq0SM502p7BYMCECRMwaNAg1NTU4Pjx4zh//jy8Xi8cDgcuv/xyTJo0qc3VSzJmtKNV2tTYN6UWBhL5RnJes0V7fcgtQSLLwuEwQqEQRFFstcJOBHIikYDD4ciLQGZZFqtWrYLBYMCiRYs6LIjSDQdRAmKL8Xq9iEQiWferdxZaqiZLkiSL40QiAY1GA7vdDpqmu4Q4JthsNlx//fVYtmwZdu3ahfHjx+f7kAoOkr0timKT8xcRxvF4XLaddWZhnApZt8mkvxLAuHHjAAA7d+7ElVdemeejKT66tEhubdoeCeRnWRbl5eXyNjUJTC8vL4dOp5N/Mt3CTiQSilgtWJZFMplU1BJBxm9ns0rYUR9yS5BpZyqVSj6ZpKuiNhbI+crZXL9+PRiGwTXXXNNilbE1lLZXpIN0vUciEdA0XbJdtJHG1WQytYxhGLkRmHwOu5I4TuXee+/FsmXL8M9//hPjxo3rsq9DOmials9NRqMRyWQS8XgcLMs2EMZ2ux0Gg6HT+dbTQabvkdelBNCjRw/07NkT27ZtK4nkdlASyWgqkkVRxL59+7B69WrwPA+VSoVu3bphzpw56N27N4CLQkQQBBiNRhiNxnZ1YrMsKzcbdIRoNAqdTqeYSCFTu4xGY1Y9uUr4kFuCoihYLBao1Wq5MaWxGJckCcFgECzLwul05k0gnzlzBrt370a/fv0watSodj9OtuwV6TCbzWBZtmS7yABSTWYYBmq1GtFoFDzPQ6fTyTafrv46Tp06FQMGDMBbb72Fxx9/vLRT0Qi1Wi2va7FYDBzHyQWXriaMG6PX6+VEpq7+PSJMmDAB27Zty/dhFCVd81v0b0RRbBDnRjhw4AA+/fRTlJeXY8GCBbj88ssRCASwYsUKnD9/HgDkmBlSBc70y0jyKDsqyjiOA8dxig4PISN0O1LNbA3iQ7ZarVlvjjMajXA4HPIoVXJBQwRyPB7PawVZEAR88MEH0Gg0uOqqq9q9sCuRXpEpZBeA5/lS2kUbkSRJFsd1dXWgKAoulwsul6tLV49ToSgKP/3pT/HAAw8gFArl+3AKBkEQwDAMvF4v4vG4/J2z2+0oLy+H0+mE0WjssgIZuHhOJtalEhcZP348jh07Br/fn+9DKTq6fCVZpVI1OSlt3rwZPXr0wLx582Sh6HK5sHLlSuzcuRM9evSQUyk0Gg3q6+sBAG63u83PTWJqOirMotEo1Gq1YgKP53lZvGbLu5YNH3JrEF8naeiz2+2IRCKyQM72qO2W+Pzzz+Hz+TBr1iw5KSUTcmWvSAeZPllKu2gZSZJkYSMIAvR6vdxoWhLGTbnnnnsQjUYRCoW6dCOWIAiylYLnebli7Ha7EQqFYDKZ8rp+FRparRYqlQqJRCIvvSWFCPH179y5E3PmzMnz0RQXXfdyE81nJNfW1iISiaCysrJBJXXkyJEYN24cDhw4gOrqaiSTSWi1WrAsi88//xwbNmzI6LmJ1aIjCz9p0FBqeIgkSbLQUnqsdepzZMuH3BoGgwFOpxMcx+H8+fOIRqNyY1S+qK2txRdffIGKigpMmjQp43/f0eEgSkFsLdkaD17MkMbauro6BINBaDQauN1udOvWDRRFyck0JZpC0zR8Ph+qq6vzfSg5hUT/eb1e1NXVgWEYaDQaOBwOuWJsNpvllIsS31CKgmtK9+7d0atXL2zfvj3fh1J0dGmR3FxG8tmzZ2E2m2WRKEmSfNIfM2YMdDodtm/fDp7nodVq4ff7ceTIEQwePLjNz6uU1ULp2LdEIoFEIpFVHyvxISs5PjoTiHeb7ATky2IBXPwcfPDBB5AkCVdffXXGF0z5sFekg4wI5ziuJPr+jSRJYBgGdXV1clKMx+OR87c1Gg1ompb9kyWasmPHDlx22WX4+9//3qlfI0mSZGFcV1cHr9fbQBhXVFTIO16p6yYZLNKZX5v2YDAYwPO83HdUouRLbi9dWiQ3V0lWq9Wor69vUEklwqO8vBxDhw7FoUOH4Pf7oVarcfLkSQDA6NGj2/y8ZFHriEAj1Sml/GekiqzX67O2RZVLH3JzkL+R4ziUl5dDpVLB7/d3aHJVR9i+fTvOnz+PiRMnonv37m3+d+S9r6+vB0VR8Hg8BbHdqtfrYTQaEQ6Hu/TJSRRFMAyD2tpa+TtVVlYGh8PRxIpiNpvlZIISTbnsssvgcrnwr3/9q9NVBokwDofD8Hq9sjDWarVwOp0NhHG6i1+DwSCno5T4htQouBIXKfmS20dORbLX68XYsWMxePBgvPzyy01uF0URL7/8MubNm4fKykpMnz4djz/+eNZOIM1Vkrt3746JEyfKVovGi9Nll10GSZJw/PhxJJNJ7N+/H0OHDs3oeVmWhUaj6dC2eDwehyiKitkiotEoBEHIWhU5Hz7kVCRJQiQSkYeW2Gw2OJ1OCIKQF6EcDAbx8ccfw263Y8aMGW3+d6n2Cpqm82avSAf5/ITD4XwfSs4hqTB1dXWIRCIwGAwoKyuD3W5P+x5ptVro9XpEo9FSNbAZtFotbr/9dpw5cwbr16/P9+F0GNJQliqMY7GYnGxChHFbGzjJeaR0kdUQlUoFrVZbEskpkLzk3bt35/lIiouciuTHHnusxQrT73//e/zP//wPBgwYgF/96leYN28eli5diu9973uKn0DSTdurqKjA1KlT0y5Q3bp1w8CBA3H48GGcPn0a9fX1mDhxYkbP21GrRerwECUEUjKZRCQSgclkykrTVT59yOT5I5EIGIZpMIGPnJh4noff78+ZSJEkCR9++CF4nsdVV13V5qp6Y3tFPl7L1lCpVLBarYjH413mBJVMJhEOh1FbWwuGYUDTdKviOBWz2Qye57vM65Up99xzD4CL46qL8UIiVRjX1dWhvr5eFsYulwvl5eVybFt7vs8ly0XzEF9y6XW5SPfu3dGtWzfs2rUr34dSVOSsBPXZZ59h7dq1eOSRR/DHP/6xye3Hjx/H8uXLMWfOHDz11FPy73v27Inf/e53WLNmDRYsWKDY8RCx3pxVIV2lk+QuDho0CMeOHcOHH34Ij8eDioqKNj8vx3EQRbFDIpnjOPA8r1h2aCQSkTOFs0G285Bbg2EYMAwDq9XapPJOTlQ+nw9+vx9OpzPrwvPAgQM4ceIERo4cif79+7d6/3ynV2QKTdOIxWIIhULweDwFJ+SVIplMgmEY2YNNRtRn6i0nw4hIOkiJhgwZMgSTJ0/Ghx9+iJqaGnTr1i3fh9QqxEpBUinIriVN0zAYDNDpdIp9L8j0PY7jSmkOKZC8ZEEQSok7/2bMmDGlSnKG5ESxxONx/OY3v8ENN9yAESNGNHufVatWQZIk3HnnnQ1+f+ONN4Kmabz//vuKHhPZXicntNQGvXSkepN79eoFnuczHpnKsizUanWHvrTRaBQajUYRXy9ptLJYLFkRsCzL5tWHHIlE5LHJ6SYSkooyx3ENcpSzAcdxWL9+PWiablMUT6HbK5qDNPGRTNfOhiAICAaDqKurQzweh9lsRnl5ebtjEymKgslkkjPPSzTl3nvvxfDhw3Hq1Kl8H0payC5hKBSSK8Ysy8JgMMgVY5vNpviwGI1GA7VaLceKlrgIuRAp7dB8w2WXXYaDBw+W7DkZkJOz7VNPPYV4PI4f//jHOHLkSLP3OXDgAFQqVRMRrdfrMWTIEBw4cEDRY2o8bY8sWkQgpVvERFGEJEmYNGkSHA5HRtPRJEmSF832LpKCIIBlWUW22lMj37LhEyZiIl8+ZIZhEIlEYLFYWh3Zrdfr4XA44Pf7EQwGs2Zl2LRpEyKRCBYsWNDqa8LzPAKBAJLJZN6znDMlNTuZpumCF/ZtgYj+WCwGlUolp+AocXFpMBjkASP5uJgsdJYsWYIbb7yx4DKTiZWCZVm5T4Tk1pNR7bkY6GMwGMCybNYnbBYTFEVBp9MhkUi0uv53FcaMGQOe57F///6MC3xdlaxXko8cOYJXXnkFP/nJT2Cz2dLer66uDg6Ho9kTRHl5Obxer6Id86nT9s6fP4+9e/fKoz3JIkMEcSpk0t4ll1yCOXPmZLRYk0iajmypRqNReduuo7AsC47jshIdlm8fMsMwCIfDsFgsbbaRGAwGOBwOxONxhMNhxSvKgUAAW7duRVlZGcaMGZP2foWaXpEpZrMZKpWq6Jv4yMVKXV2dHJFYXl6u6O4LRVEwm82Ix+NdOhkkHRRFySkP+Y4YJBXjYDCI2tpa+Hw+sCwr7/SUlZXBZrMpaqloDb1ej2QyCUEQcvJ8xYJerwfHcSVf8r8ZOHAgLBZLyZecAVkt74iiiF/96lcYNWoUFi9e3OJ94/F42goK8VmRwRlKkDptb+PGjTh16hS2bduG/v37Y9iwYejWrZt8AiRWDJVKJdsTVCpVxmKXZVmoVKp2V4pEUUQsFlNkeAipIhsMhqz42PLpQ45GowiHwzCbzRlXEGiahiiKCIVCUKvVilYgNmzYgGQyiXnz5qV9Tchzx+NxmEymoq4MkSa+QCBQlNOvOI4DwzCyRcpms8FoNGbt/aBpWk5gUarfoDNx5swZfPvb38bChQvx85//PKfPTYQxy7JgWVauGBuNRnnKZD6/p8TCwbJsyX+bgl6vl2M/i239yQZqtRqjR48uieQMyKpIfu2113Dw4EGsXLmy1fuSyUrNQTxF6UQp8WLt2bMHgUAAAOSKMKnEeTweqFQq+Yc8JsMwOHfuHBwOBxiGwRdffIFdu3ahV69euPTSSzF48OAGJ8ZgMIhdu3Zh3759uO666zJ6PTpqtYjFYpAkSZELBYZhIIpiVk7GxIdMqim5hIyxNZvNsFgs7XqtTSYTRFFEOByGSqVSxCpy9uxZHDp0CIMHD0a/fv2avU8x2yvSQZqUiqmJj+M4RCIRJBIJaDQaeSpjto+dfNai0ahchS/xDRUVFdi3bx/i8Th+8pOfNGvhSR39HY1GEY1G5f+d+juylqa+p43/d+PXn7w/VqtVTpexWq2wWCywWq15FWGpU+ay1YBdjGg0Grm4VRLJFxkzZgxeeOGFgrItFTJZE8mRSAR//vOfcdVVV4GmaZw7dw4AUF9fDwAIhUI4d+4c3G63nCd64sQJcBzXRFjV1tbC4/GkfUPJYvbf//3fzd5+991346677oIoinLDXiwWA0VROH36NNRqNSorKzFq1CgcPHgQx48fx8mTJ3H8+HE4nU4MGDAAQ4cORZ8+fRAMBlFVVYUpU6Zk9HoIgiDnELcHsgVP03SHP9ikK99kMinuFc2nD5kIZJPJ1G6BTCBDHoLBINRqdYcWWEmS8NFHH0GlUuHKK69s9vZiSq/IBNLER/JgszXuvKMQbylJCSCTzjpyUdseTCYTGIaRdxJKfANN01i8eDGWL1+OL7/8Ek6nE7W1taitrUUoFJL94i1lnqvVaphMpiY7Aqnb8aIoIplMIplMNnisZDKJ+vr6tI+v0+kaiGZi9XK73ejevXvWk0sMBgOCwWBJ/KSQ6ksuXTxcZMyYMfjzn/+MY8eO4dJLL8334RQ8WTsTk0Vr5cqVzVaS//73v+Pvf/87XnjhBUybNg2VlZXYvHkz9u3bh7Fjx8r3SyQSOHLkSItZxERUP/HEE81Gank8HpSVlQH4xjpRW1sLrVaLuro6sCwLl8sFURQxaNAg9O/fH16vFydOnMCZM2ewfft27NmzBxUVFRBFETzPy8HcbYWMQW6v2EokEkgmk4qcOMPhsOyBVJJ8+pBJ5JhSFgUi7kRRhN/vh9vtbvc25ldffYULFy5g4sSJcLlcDW7rTPaKdGi1WhiNRkQikSZjdfMN2UZnGAYcx8nTzpROIGgrpOmLTNPsbJ+FTOF5XhbCNTU1GDlyJHr27ImNGzfK9yG2Hrvdjh49eshRfKSxMvW/zb2voig2sFJIkgStVguDwSBbKQikWBEOhxGJRBAOh+X/Tf7/+fPnm03hcLlc6NGjB7p3744ePXqgoqJC0Yvh1Clz+WiULlSI5aLxzkFXZfjw4dBoNNizZ09JJLeBrIlkl8uFp59+usnvjx07hr/85S/41re+hSuuuALDhg0DACxYsADPPfccXnnllQYi+c0330Q8HsfVV1/d6nMSP3FLpNow9Ho9JkyYgIqKClRUVMgjPoGLwnrgwIFgWRZHjx7F0aNHceHCBXAchz59+iAWi0EQBOh0Omi12lZP/CzLdujES7reO2pfSCQSiMfjsNvtiouVfPmQY7EYgsGgvBWq1EJIxD7JUHa73RlXaDiOw8cffwyapjF9+vQGt3VGe0U6LBaLvA1eCH5bkjTDMAx4npdjAPMljlMxmUzw+XxdbotYkiRcuHABJ0+eRE1NDWpqapoM+aFpGl6vF5FIBP/xH/+Bnj17tisWkQhjMvSGCGOz2dxiGgspLrRWYEgkErJorq2tRXV1Nc6fP499+/Zh3759AC6K+/LycvTo0UMWz263u91rp1qthk6nA8uyJZGcgk6nk3eKutL3KR0GgwGDBw/GV199hVtvvTXfh1PwZE0k0zSN2bNnN/k92fIYNGhQg9sHDx6M2267DcuXL8dDDz2E6dOno6qqCsuWLcPEiRMVHSSSOm1PpVI18IiSEyRFUXJjxqRJkzBp0iRs3LgRmzdvlpMJotGoPIhDq9VCp9NBr9c36WpOJpPgOA52u71dx0umcTkcjvb/0fimWU+r1SouyPLlQ47H47JAzkZKh0qlgtPpRH19Pfx+f8YXAF988YUc+Ua2WzuzvSIdpAmSYRgYjca8/b2pnlVBEKDX6+FyuXKaRNAa5MI7Go12+pN6LBZDVVUVTpw4gRMnTjRIrnA6nbj00ktRXl6OiooKOYv6wQcfxFtvvYWf/vSnGQ1yEkVRrhanCmOLxaLY9FKCXq+HXq+H2+3GJZdc0uDvJYK5uroa586dw4ULF7Bz504AF9/77t27o3v37hgwYAD69OmT0XqTOuK8UD7P+abkS27KqFGjsGXLlnwfRlFQUGfmn//85+jRowfeeOMNfPrpp3A6nbjjjjvw8MMPK/qFb5yR3Byk2kwWm1gshvr6euj1egwfPhzAxROuIAjgOA6JRAKxWAwMw8hVar1eL+dXAukbD1sjGo3K27AdIR6Pg+d5uN1uRV/PfPmQ4/E4AoEAaJrOikAmqNVqWSgHg0E4HI42PVcoFMKWLVvg8XjkC6uuYK9Ih9lsRiwWQyQS6fAFX6YQcRyJROQYRrvdXpCZxGS4SDAYhCAIneoCShRFVFdX4/jx46iqqsL58+fl28rKyjBq1CgMGDAA3bt3Tytofv7zn+MHP/gB7HZ7q2KwOWGs0+myIozbgtFoxIABAzBgwAAAFz+XoVBIFs3nz5/H+fPncfr0aWzZsgVGoxFDhgzB0KFD0bdv31Z3svR6fWn6XiNKvuSmjBw5Eq+++qo8E6BEenK++k6YMAFHjx5t9ja1Wo27774bd999d1aPgTRetOUKnSzAkUgENTU1skAmt2m1Wmi1WphMJlk0E39bKBRCKBSSvY7JZLJBDnNbSCaTiMfjHW5EI2kNNE0rKgzy5UNmWVYWyLl4Xq1WKw8bIRP8WmPjxo0QBAFz5syBSqXqUvaK5iCjz4PBIEwmU04EKqnaMwwji2On01nwMVkGgwEqlQqxWKwg7CkdgWEYnDhxAlVVVaiqqpKnfen1egwdOhQDBgxA//792/x39uzZE4lEAj6fT7bKpEKEMbFSAJCFsRKNz0pC1k273S5bBUVRRF1dHY4cOYLDhw9j9+7d2L17N2iaxuDBgzFs2DD069ev2b+DWP+KMXIxm5R8yQ0hQ9D27duHadOm5fdgCpzOU6LIgLZUkhvjdrsxb968Frf3UkWz2WyGKIqIx+Oora2FIAjwer3QaDSgabrNU8jI9mNHK7QMw0CSJMVPuPnwIedaIBMMBgOsVmubLCvV1dXYv3+/LABIs09XsVekg6ZpedCLy+XK2ntHMsVJ1CFN0zCbzQUvjglkYBAZGV9sJ/ZkMomjR49i7969OHHihOwr7tatG8aOHYsBAwagZ8+e7V4zwuEwXnjhBcyYMQPTp09HMplsUDEGLgpjm80mTzMsFlQqldwnM2PGDNTX1+PQoUM4dOgQ9u7di71798JgMGDIkCG49NJLcckll8jrSWoUXIlvKPmSG9K7d2/Y7faSSG4DXfJMnTptr63wPN+m8capkExmEnEnCILsh4xEInLXf7qO/9TYt44IUEEQ5OxVJU8W8Xg85z5kIpD1en1eJvmZTCbwPI9gMAiNRpNWdH3yyScAgCuuuALBYLBL2iuag6IoWK1W+P1+JBIJxWOxRFGUs3AlSZLFcTFelJDMZDLNrRioq6vDnj17sG/fPjlmc+DAgRg6dCj69++vWKJOdXU1Hn30USxZsgTDhg0Dx3EALlYMi1EYt4Tb7ca0adMwbdo0+Hw+HDp0CIcPH5YFs16vx+DBg+XXWK/Xy5MbO8tr0FGIL7lUYb8IRVEYOXIk9u7dm+9DKXiK78yhAKnT9toKx3Gy6M0EMgFJo9FAo9HICRpkOzAUCsmT74xGY4MGong8DlEUOxz7RoZiKBn5JggCQqFQTn3IiURCFsht9QUrDdkeJY18ZEhNKmfPnsWJEycwdOhQqNVqsCzbJe0V6SDNrZFIRLE0CVEU5WERwEWBqfRFYa4hzcDkQrlQSSQSOHDgAPbs2SN7jJ1OJyZNmoSRI0cq6gMlFePu3bujd+/eWLt2Lf7nf/4Hdrsder2+qN/vtuByuTB16lRMnToVfr8fhw8fxqFDh+TUDJ1OJ4tlu91eSrn4N8SXTC6mSlz0Jb/yyisQRbGgYjkLjS4rkptbTHmexyuvvIJx48Zh5MiRTW7LtAOeiOHG4pSiKNlyQTzHsVgMPp8PGo1Gri6T7vaObBGTLUglRWU+fMiJRAJ+vx86nS5vAplAURScTie8Xi8CgQCcTmeD4/nkk09AURQqKyvliY/FWMnMFsSb7PP5OlwlTSaTcuUYgJyR21nEkslkQiAQAM/zBWUVkSQJZ8+exZ49e3Dw4EEIggCtVotRo0Zh1KhR6N27t2LfUbJGsiwLjuNkwXPttdfiqaeewtGjR5vEK3YFnE4nLr/8clx++eUIBoM4dOgQDh48KFeYe/XqhalTp2LAgAFdeveKQC7MS77ki4wcORKhUAinT59ukMBSoiFd8syd7srpxIkTOH/+PCorKxv8XpIk8DyfcUWXdFO3tKVMorHINj6JlQsGg+A4Th6C0h5I5JtOp1N0WzvXPuRUgdxYkOYLtVoNh8MBn8/XoJGvqqoKp0+fxqBBg9CtW7espm4UMyT9JRKJtGuqHZkaSTz7ZFhEZ6uIpDbw2Wy2fB8OeJ7H7t27sX37dvj9fgAXG+lGjx6NYcOGKbaVLQiCfIFPhDGxWJHX5IYbbsBTTz2F9957D9OmTevS3zO73Y7Jkydj8uTJOHfuHDZv3oxjx47htddeg8vlwoQJEzBy5MiCTHPJFcSX3FyzZ1dkxIgRAC4275VEcnq6pEhOJpPNLuaHDh0CgCZTaMh40kwrOSzLyjaL1iDVEZ1Oh2QyiZqaGjkuLJFIwGw2Z1zJJgNPPB6PYieQXOchcxxXcAKZoNfrYbFYEIlEoNPpoFKpsH79eqhUKsycObMUrdMKVqsVXq8X8Xi8zdvCgiDI4phYiEwmU6cTxwSy6xSPx/PqZ+d5Hjt37sSWLVvkrOtJkyZh9OjR8Hg8ijwHEcYkqpIIY4fDAb1e3+Q9njx5MjweD1avXo3HH3+8oCrt+aRnz55YvHgxzpw5g1OnTmHv3r1YvXo1Pv74Y1x22WUYP358QVxw5RqtVguKosBxXEkk4+L627dvXxw4cACLFi3K9+EULF1SJJNBIqkkk0kcO3YMPXr0aLKA8DwPABktwsRq0Z7RsmQ7qKKiAiqVCtFoFD6fDzqdLu1o1caIoohIJAKj0ajYySPXecgcx8Hn88nxa4UkkAlmsxkcx6Gurg7V1dWora3FZZddltGQg64KGf3LMAxomm7x/eV5HgzDIB6Py2OIjUZjpxXHqeSzgY/jOFkck+bfuXPnYsyYMYqsK6SZmWXZBsKYrHMtvb9qtRq/+MUvwHFcwVTaCwUSeXf55Zdj5syZ+Oqrr7Bt2zZs2bIFW7duxdChQzFlypQutU6VfMlNqaysxIEDB/J9GAVNlxPJZNpe48X3zJkz4DgOgwcPbvJveJ6HWq3OyOfI8zxEUWyXzYFUyYgIoGkaiUQCDMPA7/fLU6JaEsvEe6VU00yufcikgqzVauF0OgtWDJFoq3g8jt27d0OtVpcidTLAYrG0WE3meR6RSAQsy0KtVsNms7XrwrOYIQ18sVgsZyKZ4zjs2LEDW7ZskWPo5s2bh8suu6xD4phkyZOKsSAIoCgKBoOhTcK4Md///vcRCARKwqcRqQM0zGYzxo0bh7Fjx+L48ePYtm0bDh48iIMHD2LIkCGYPn16lxHLpBG25Eu+yLBhw+Q8/1LfTPN0uVclXUYyGXAyaNCgJv+mPU0zpOKV6b8j+a6pVTJyEtHr9eA4DpFIpEWxTLzNVqtVsQamXPqQeZ6H3++HRqMpaIGcOhwkkUjA6/VixIgRpYpWBpBqciQSaVBN5jgODMPIliW73d5qtbkzYzQaEQwGsx7rlUgksGPHDmzdulUeZLJgwQKMHj263SdRIoxJxThVGFut1g4nnBgMBhw5cgQOh6N0ok+BeP6JIKQoCoMGDcKgQYNw4cIFfPbZZzhy5AiOHDmCSy+9FNOnT0d5eXm+DzurkOa9ZDJZ+qzgYiU5Ho/j5MmTzWqfEl1QJDc3bU+SJBw7dgw2m61Jo1x7mvaI1aI9DUktxb6ljrtOJBKyWNbpdLBarXJjAhla0dHoOEIufcg8z8Pn88mjoAtRIJMpbuR1drvdWL16NVQqFYYNG1bK4swQUk2OxWLQaDRgGAaJRKIkjlMgawmp6ipNIpHA9u3bsXXrVtn/vHDhQowaNapdYqI5YUwy45UQxqn88pe/xJ/+9CccP34c/fv3V+QxOwNkylxzAzS6deuGm2++WRbLhw8fxuHDhzFmzBjMmjWroCMHOwIpWnEcVxLJAIYOHQoAOHjwYEkkp6HLfUqaqyR7vV4Eg0GMGzeuycJNmvYyEYeCIMgjcDMhdXhIa9UikjWbSCQQDodRX18Pmqah1WqRSCQUa3LLpQ85VSDncoJfJpBmytThIFVVVTh37hzGjh0Ll8uFQCAAj8fTaWLIso1Go4FarUZtba38uXY4HO26yOysEIEZj8dhNpsVjXM8ePAg1q5dC4ZhYLPZMGvWLIwaNSrjzy8pKBArBcmjz4YwTmXMmDGQJAnvvfceHnnkEcUfv1hpywCNVLG8du1a7Nq1C0eOHMGVV16JESNGdLrvH9nd5TiulCGNiz01pHlv8eLF+T6cgqRLiuTG0/aOHTsGIL3VAsisaY9lWbnqmwmJRAKCILQ5FSHVhhGPxxuIZSUqmbn0IQuCUPACOdVeQYaDSJKEzz77DCqVClOmTIHZbIbX60UoFCrYZsNCQZIkeUeE4zh5B6UUm9c8RqMRPp9PsQgrv9+PDz/8ECdPngRN01i4cCFGjx6dkTgmwphUjFOFMU3TGSfytIcFCxZAq9Vi1apV+OEPf1iQa0c+yKRRrVu3brjzzjuxb98+rFu3DitXrsTevXuxcOFCuN3uHBxt7iAiucRFKisrcfDgwXwfRsHS5UQyadprLJJ1Oh369u3b5P4cx0GtVme08LbXahGNRqHVajP2MVMUBaPRKG9vUhSFuro62Gy2DlVvcuVDJgJZpVIVpMWisb0idTjIyZMnce7cOYwZM0b2Itvtdvj9/oyizboSxI4UiUQgCAJ0Oh3KyspksVyieXQ6HdRqNWKxWIdEsiAI+OKLL7Bp0yYkk0mMGjUKs2fPbrM9S5IkcBwn5xgTYUzTNAwGQ06EcSo2mw0zZ87EJ598Aq/X2+l9tZlALBdtmapGRhUPGjQIGzduxK5du/DMM89g8uTJmDZtWqeJ2CNNsKVJcxeprKzEhg0bSs17aehyr0jjxpdYLIZz585hyJAhzX5AMq3aCIIAnuczHgHN8zwSiUS7q49k8pjT6YTJZEIoFILf75e3OjP98OfKh0wEMkVRcLlcBWdRaM5ekfr+bNmyBRRFYcqUKfLviDUlFApBp9OVFp5/I0kS4vE4GIaBIAjycIjUz5fP50MikVB0+E1ngWQmx2Kxdnfnnzx5EqtXr4bP54Pb7cbChQubLQ40JlUYk74JtVoNg8GQF2HcmMWLF2PdunX48MMPcffdd+ftOAqN1AEabd1dpGkaV111FUaNGoVVq1Zh8+bNOHDgAObPn98pfKtE7GfymnRmKisrwbIsqqqqmk336up0ubN344zk48ePQ5IkDBw4sMl9yeKSyQm7vVaLaDQqn3TaQyQSkcf9kopsIpFAKBSC1+uFxWKByWRq04ksVz7kQhfIzdkrUqmpqcHJkydRWVnZxCJjtVqRSCQQDAbhcrm6tH2AVOIZhpG9+o3FMQB5mA7DMCWRnAaj0SinfmTSXMUwDNatW4f9+/dDo9Fg1qxZmDRpUovfOSKMiZWCrJ00Tcv9D4XyuV6wYMH/b+/Mw5uq0j/+zb6nSVcoZV9aVkEQEFlFFlFARRFRFHVcfoo644LLOI7OODquo+IOIpuKoIggoCCLyCJIKTuUHWwp3dKk2bd7f3/Uc8jN1qRNmzS5n+fxkSa3ycnpzbnf+57v+76QSqU4c+YMX97Lh0h8yaHIy8vD/fffj927d2Pz5s346quv0L17d4wfP552GG2JiMVi2lSEF8mXmqcdPXqUF8lBSDmR7F/6JZwf2ePxgGXZqP3IpPtapDAM06iEHN9i+v5l40jJm9raWtjtduh0urCfp7l8yF6vF9XV1QCQcAI5nL3Cl507dwKo6/zlj1AohE6nQ3V1NW3CkGqQcoZWqxVerxcKhQJqtTrk+ScQCKBWq2EwGPiuWCEQi8WQSCSw2+0RiWSWZVFYWIiff/4ZTqcTXbt2xbXXXgu9Xh/yeKfTSa0URBgrlUrI5fKEEsa+tGvXDuXl5bDZbHzbYR9IwKahNiahUIjBgwejR48e+Omnn3DkyBGcPHkSo0aNwqBBg1qkXYF4tUm+UaqjVquRl5eHY8eOxXsoCUnKiWTfSLLX68XJkyeRl5cX1I8XbdKe1+uFy+WKuk6u1WoFgAaVbCMl3yQSSdCor1AoRFpaGhQKBYxGI6qqqsJGlZvDh5zIAtnXXqFUKkMmkZlMJhw6dAgdO3ZE69atg76WTCaDSqWC2WyGXC5PGdsFEccWiwUMw0CpVEKtVkf0+WUyGS0Dl56e3gyjbXkoFAqYzeZ6PZWVlZX4/vvvUVpaCo1Gg8mTJ6OgoCDgfA4mjMViccILY3/S0tLoZ+BF8iWkUilMJlOjPLharRa33HILTpw4gbVr12L9+vXYv38/rrvuOrRt2zbGI256JBJJo2xLyUb37t15kRyC1Lhq/4l/tz3SZS+Uz8rtdtPtqkhwOp0AENVWMYlaKhSKBi1gdrsdLper3i19qVSKrKwsGlV2OBzQ6XQc4dIcPmQikFmWRUZGRkIJx/rsFb7s2rULDMMEjSL7kkq2C4ZhYLVaaUcrEjmO5m9MoslGo5FPJAmBQqGg3+FQdqh9+/ZhzZo18Hq9GDx4MEaOHMnZWibC2G63w+l0coSxQqGgW9ItidraWvzvf/9Dp06d8MADD8R7OAkDWctj4cHt2rUrHnroIfz666/Yvn075s+fj379+mHMmDEtqrYysXXxTUXqKCgowJIlS/ibhiCk1NnhXyP5xIkTABDUjwxE32mPRDCiiYyS7PCGRJEZhqFRykgWP4FAAK1WC7lcjpqaGlRWVtI2v83hQ05UgRypvYLgdDqxd+9eZGVl1du8QCAQIC0tDdXV1bDZbDFr8JJIkKRRsiNCIscN3SEgIpDcsPFwEYlEtOyj/3fV5XJh7dq12L9/P7RaLaZMmYJ27doBuFRVhPzHsixtOkR2OlryBVIqleK9995D//798Ze//CWhdqjiCQn0xMqDK5FIcPXVV6NPnz5Ys2YNioqKcPLkSUybNg25ubkxGHHT45u8lyjXoXhSUFCAmpoaVFRU8NVh/Eips4OIZBKxPXPmDFQqVdCTItqkPYZh4HQ6o+6GZbVaIZPJGlRex2q1gmGYqJMoSFTZZDLBaDTC6XTC7XY3qQ+ZYRgYDAYwDIPMzMyEWZgitVf4sm/fPjidTgwePDiiuZLJZFAqlaitrYVcLk+ai7fX64XFYoHNZgNQZxdSqVSN/nwCgQAqlQoWi4UmovJwkcvlMJlMnGo9FRUVWL58OaqqqtC1a1fccMMNtAGJrzCWSCRQq9XUSpEsKBQKjBgxAps3b4bBYEBWVla8h5QQRFMvORoyMzNx5513Yt++fVi7di0+//xzTJ48Gb169Yrp+zQFIpEIIpEIbre7RUXAmwqSsHfs2DFeJPuRUlcf0pJaJBLBYrGgvLwcnTp1Cip0SNJepLYDp9MJlmWjslq4XC64XK4GRRc9Hg8sFgtUKlWDBKdQKIRer4dOp4PRaERtbS3UanWTCBKGYVBdXQ2v15tQEWS3242qqio4HA46F/WJXpZlsXv3bigUCvTu3Tvi99JqtRAKhTCZTGBZtrFDjytk16GiooImnObk5ECr1cbsBoBESEl0mocLubAT4VtUVIS5c+fCYDDgmmuuwQ033ACHw4Hy8nLU1NTA4/FArVYjOzsbWVlZ0Gg0SSWQCePHj4fL5cKmTZviPZSEgojkWK89AoEA/fr1w8yZMyGXy/Htt99iy5YtLWKNk0gkfPLen+Tl5UGtVqO4uDjeQ0k4Ukok+3bbO3PmDACgU6dOQY+NNmnP4XBAIpFEJQCtVivEYnGDtsDMZjOEQmGjqyYIBAJIJBLI5XLU1tbSqGCs8BfIiXBhJu2/q6qqIBAIkJWVFXE04cSJEzAYDOjfv39Un0UoFEKr1dKIXkvE4/HQLTmHwwGNRoPs7OwmifaSUmMkuYaHi1AohEwmg9lsxvfff49Vq1ZBqVTipptuQqdOnWA0GuH1eunfiAjjRLlBbSrGjx8PAFi/fj1/3vjgWy+5KWjTpg3uu+8+tG7dGr/88gu++eabhBegRCTz50mdDsjPz8fRo0fjPZSEI7lXTD9IZQuBQIDTp08DADp27Bj0WJfLFXFWN0mCiSYi7PV6YbfbG9SClyTc6HS6RokTj8cDk8kEpVIJnU6H2tpaGI1GuN3ugKYZDYFYLBJJIDfEXuHLrl27IBQKccUVV0T93qTxQm1tLWQyWYuxEbjdblgsFtjtdohEImi12ohrbjcGlUoFm80WdU3gVMFms+G7775DTU0N2rZti5EjR9Kcg1SqpuJLfn4+2rZti82bN/Ol4Hwg17KmLK2o1Wpx9913Y+XKlThy5Ahqamowbdq0hK2pLJFIwDAMn7z3JwUFBbSsabSQGzCbzUav98lCSp0ZpH0qy7I4ffo0MjIyQiYGRZO053K5wDBMVFYLq9VKO2hFAyn5JpVKGyUc/Oshk1JxEokEtbW1cLvd0Ov1Dd4+JwLZ4/EgPT09IQRyNNUrglFRUUGbhzRk4SeJk5WVlbBYLAl78SC4XC7auEIkEtEkz+ZK7pJIJJBKpbBarbxI/hOGYeBwOHD48GFs2LABbrcb/fv3x8iRI6FQKJLG795QBAIBXnrpJerD5kVyHWTHsKnbvkskEtx8883YsmULtm7dirlz52LatGlo06ZNk75vQ/Ct+sGL5DqR/NVXX0XceKa4uBi7du3Cr7/+iqNHj9JdP71ejzZt2mD06NG46667WnQyMJBiIplEkg0GA2pra0NGA1mWhcfjibjKAxERkX7RSDUFpVIZdTSRFMvPzMxs1MkXrB4ySZiSSCQwGAyoqqpqkMAlAtntdiMjIyPuF6poq1eEYteuXQCAQYMGNXgsYrEYarUaZrOZdi1LNJxOJywWC5xOJ8RiMXQ6HRQKRVwWO5VKhZqamqgrzSQTXq+XU5Viz5492LdvHxQKBcaPH4/27dunZLOaUNx9992orq5O+O3+5kYqlTZLbWCBQIBRo0YhKysL33//PRYsWJCQCX1CoZBP3vOha9euYBgGp0+fpl34gnHhwgXMnz8fq1evhslkglQqRZs2bdCpUydoNBrI5XIcOHAA//3vf1FVVYUHH3ywRa9PKSWSybYKKf0Wzo8caac9UlZJLpdHvPDYbDYwDBN1wh4p+aZQKBolPOurh0yqXxChrNfrI46Skwh1oghkX3uFSqVqsI3EbrfjwIEDaNOmDfLy8ho1JrVaDbvdjtraWqSnpyfEnTZpQWw2m6nViPzd4zk+Ug2EdJRMFYgwJnXQgboo3W+//YZDhw6hTZs2mDp1KkQiUaMbRSQjUqkUx48fT5jvVyLQ3LWBe/XqBb1ej6VLl+Lbb79FZWUlRo4cmVB/j+aIrrcUunTpAqAu7yaYSCY3V3PmzMF3332H6667DjfffDN69eoVUNXLYDDgww8/xLfffosrrrgCI0aMaJbP0BSk1KpKyiWdOXMGAoEAHTp0CHpcNEl7brcbXq83KhFptVob5Bk0m81gWbZR2/SR1kMWiUTIyMiATCaDwWCIqMoAy7K0pXB6enrcBbJ/9YqG+L8J+/btg8fjwcCBAxs9LmK7IF3O4gm5yauurqY1rNPT05GZmRm36LEvAoEASqWS3lgmM6TedFVVFcrLy2EymagdKjMzE5s2bcKhQ4fQtWtX3HXXXdR/DCDu51Gicccdd2DUqFGw2+3xHkrC4FsbuLnwTejbunUrli9fnlCilE/eu4RGo0GrVq1w8uTJoM8LBAL88ssv2LRpE2bMmIGXX34ZV155JRXIxN/t9XqRnp6Ou+66C5mZmfj999+b82PEnJQRyQzD0C/CmTNn0KZNm5DClmztRiIQHA4HhEJhxILQ5XLB4/FEHUX2eDywWq2NatLg70Ou7/ORMnEqlQomkwm1tbUhFxN/gRyLovUNpTHVK0K9XmFhIRQKBXr06BGTMfom8cVjgWZZFna7HVVVVTAYDADqWoRnZmbGPXrsj1KppONNNkgpRyKMa2trIRQKodPp0KpVK9q2fenSpTh27Bh69+6NW2+9lQoekUgEqVTKi2Q/evToAbPZjD179sR7KAkDqQ3c3CKVJPT17NkTR48exYIFC1BbW9usYwiFRCIBy7K0h0Kq06VLF7rTHowzZ85AJpNh6tSpUCgUnMCFUCiEUCikj5GmUkajsamH3aSklEgG6pKvnE5nSKsFEF3SXrRWC4vFQhOSosFkMkEkEjXK20N8yHq9PuKtWRL11Gq1sFgsQev8EvGdCAKZYRgYjUaYTCYoFIqYNC45f/48qqur0adPn5huU2q1WtqQo7kg/uzKykrU1NRAKBRScSyTyRJKHBNEIhHkcnnSlIMjwriyshIVFRW0nKNOp0NOTg7S09NpvoLNZsOiRYtw5swZXHHFFbjxxhsDbpLlcjltLc1TB9ne3bp1a5xHklhIpdK4eLUlEgmmTJmCESNGoKysDHPnzkVpaWmzjyPYuIC67yRPnS85VCQZqGsg4/F46E0F6SdBIAmiAPDTTz/h2LFjuOyyy5p20E1Myohk8kc9f/48gNB+ZIZhIhbJHo8HHo8nYquFx+OhpeKiESMOhwNOp7NRZdmID1mr1UYt0AUCAdRqNXQ6HWw2G2pqaugXgwhkp9MJvV4fV4HckOYgkbBv3z4AwOWXX97o1/KFtAQmPsGmhETXKyoqYDQaIRaLkZmZSS01iY5SqYTb7W6xyVgejwdms5kjjEUiEfR6fYAwJtTW1uLzzz/HhQsXMHz4cFx77bVBz2e5XE495Tx1XHXVVRCJRNi+fTt/8+ADEcnxuNkUCAQYOXIkbr75ZjgcDixYsAAHDx5s9nH4QqKfLXVdiTVdunTBH3/8EXLXrlevXpBIJPjkk09gMBgglUrpmmSxWHD+/Hls3rwZzz//PN544w10794dU6ZMac6PEHNSJnGPLJTnzp2DRCIJmXxF7igjEZIOhwMCgSBikWG1WiEUCqPa+vct+RZNiTlfIvUh1we5iNfU1MBgMNDaykQgN3R8jSVW1SuC4XK5cPjwYeTm5iI7Ozsmr+mLRqOB3W6H2WyGTqeL+euTuSFCXC6XJ0xJvmiQyWQ0gS/eXvdIcbvdtCIFafsul8uhVqvrrZNdXV2NxYsXw2QyYdy4cRg8eHDIY8ViMcRiMd3V4qn7XvXr1w+//fYbHA5Ho9a9ZILYC+JZQ7pnz540oW/FihWorKzEqFGj4rKLRSKfvEiuo2vXrmBZFqdOnQpajaRdu3a4//778e9//xtHjx5Fbm4udDodDZaVlJTg4sWLEIlEmDx5Mh555JEWn1CcMiLZ6/WCZVmUlpYiLy8vpK/X5XJBIBBEJLLsdnvEW9QMw8Bms0GtVke1GFitVng8HmRlZTVoEYnWh1wfRGQZDAaUlpbSBL94XZwb2xykPo4cOQK3242+ffvG7DV9IV0TSVvwWIl7cr5ZLBYwDAOFQgG1Wt3ixDGB1BQnuyGJuPCS0pGkKoXH4+EI40htWRcvXsSSJUtgs9kwefLkiM49XztKIlpm4sGIESNw9OhRWtuc51JTkXg3WsnNzcV9992HpUuX4tdff4XT6cT48ePjcu6SG0weoHPnzgCAkydPBv3OCIVC3H777UhLS8PGjRtx4MAB7N27l+7e5uXl4eqrr8ZVV12Fyy+/PKDqRUskZUQywzC0NFnbtm1DHkcKi9f3ZfV6vXC73REn4JF2z9FENIhfValUNljcBKuH3FikUinEYjHMZjPUanXcFtvGNgeJhH379kEkEjXpRValUsFqtdKScI2BYRhYrVZYrVawLEvFcTIUy1cqlbS5SaJEBokwJs0rPB4PbRmt1Wqj9nmfO3cOX331FTweD6ZOnYqCgoKIfk8ul8NiscRd/CQSL7zwAp5++mn+psEHEgByuVxRJ4/HGo1Gg5kzZ+KLL77A7t27odVqcdVVVzX7OCQSCaxWK19GEXXlSdu0aRM2ec/tduP666/HmDFjUFFRAalUioyMjKS4xgQjOT9VELxeL8rLywHUbRmEwu12R2SfIHeekURQiR802o5YZrMZABp8N1ZfPeSGwLIsTCYT3G43WrVqBZvNBoPBgPT09GZbYJrSXuGLwWDAuXPn0LNnzyYtNi8QCKDRaGA0GhvcNpaUDyOl+khmcTJ1YBOLxZBKpXTXIF6Q7WpipSDCWC6XN0gYE06cOIFly5bRaE3Hjh0j/l2JRAKhUMh3mfNBq9XCarXydaT9kEqlcDqd8R4GgLrzdtq0afj888/x888/Q6PRoE+fPs0+BiDya3+y07FjR5w5cybk82S+ZDIZJ+DIsixYlqXftWT5viXHp4gAhmFQVlYGgUAQ0o/MMAw8Hk9EUVuHw1Gvr9D3WK/XG9WdO+mD3lChEysfsi9EINtsNuh0Omi1WqSnp8PtdsNgMDRLgoxv9QqlUhmT6hWhIAl7/fr1a5LX90WhUNDofDR4vV6YTCZUVFTAarVCpVIhOzsbaWlpSSWQCUqlEk6ns9mz0UliXG1tLSoqKlBVVUX90RkZGcjJyYFOp2tw+bwzZ87g66+/hkQiwZ133hmVQAZAcyMSRfwkCrt378brr7/OJzX6IJFI4PF4EiahUS6X4/bbb4dWq8X333+PU6dONev7k51jvsJFHfWJ5JqaGvzwww/YuXMn53GBQAChUAixWJw0AhlIIZHs8XhQVlaGVq1ahbxbjLSJCMMwcDqdEftwrVYrpFJpxJYJIkZJ9YNoibUPmbxmbW0tFchEeBORQKwPTZk1HcvmIPXBMAz2798PrVYbtWBpCL4NRiIROh6Ph4pj0k0wJycHWq02KcUxgYjQ5qiZTIQxmWcijGUyGUcYN7Z0XllZGZYuXQqxWIw777wTbdq0adDryGQy2tyIp46VK1fi3XffxeHDh+M9lIQhHk1F6kOr1eL222+HVCrFsmXLUFZW1mzvTSwoiTQf8aRjx474448/Qt407NmzB08++SReeeWVlLj5TBmRXFNTA5vNVq8fOZKkvWisFi6XK2r/l8PhgMvlanDJt4bUQw4HEcjEuuEfmZZKpUhPT4fL5WoSoRzr5iCRcObMGdTW1uKyyy5rtrtimUwGiURCOysGg+wQEHGsVquRnZ2dsMlssYbYGux2e5PckLEsC6fTyRHGdrsdcrk8psKYUF1djSVLlsDr9WLatGlo1apVg1+L3Pzz0eRLjBw5EgCwZcuWuI4jkSCR00QThdnZ2bjtttvg9XrxxRdfoKamptneWywW85HkP+nYsSPcbjdKSkqCPt+9e3cMGzYM06dPD3rNIZ33/Gsot1SS/6qKuj/axYsXAdTvR46k057D4YBEIokoYme1WmkzhEggglQmkzWoYkRj6iGHGo/ZbKYCOZTYl8lk0Ov1cDgcQRuONJSmaA4SCfv37weAZi2ETrzJLpcrQOiQSH1FRQUcDge0Wi2ys7Oh0WhSQhz7olQq4fF4YnaR9xXG5eXlqK6upuXUMjMzkZOTg7S0tJg3WzGbzViyZAnsdjtuvvlmdOjQoVGvJxKJIJFIeJHsw7BhwwAA27dvT4oLdixI5LJn7dq1w5QpU2C1WrFkyRKaY9HUEJHMnyOgO6ehLBd5eXmYO3cubrvttqDXYqFQCJFIFFEBhJZASiTu+YrkcJFkl8tVrzAlF9RIOt95vV44HA5oNJqoOvJ5vV5kZGREdLwvsfYhE4FssVjCCmSCXC6HTqeD0WiESCRqdPmX5qheEQyXy4Vjx44hLy+vQX+HxiCTySCVSmGxWCCTyWgTCofDAZFIRCP5ybD4NBSpVAqhUAi73d7gG0FipSBVKRiGgUgkglKphFwuj7gtfWM4f/48TCYTrr/++oirWNSHXC6nlU1S+RwhZGZmokePHvjtt98izjdJBRL5Zqp79+6YMGEC1q5di6+++gp33nlnkyejisViMAxD14FUJicnBwqFAmfPng15DClv6T9XHo8Hx44dw+7du3H69GnI5XLcfPPNyM/Pb7HrUUqIZK/Xi4sXL9Jks2CQLYL6voxOpxMsy0YU5fWtNBDpOC0WS4NKdjWFD9liscBisUCr1UZsF1EqlfB6vbSjWEPEenNVrwhFcXEx3G43evfu3WzvSSDdDSsrK1FeXg6GYSAWi6HT6aBQKFrsQhNLSM1ku90elSWJ3OCSqhTxEMa+9OzZE61bt2502T9fZDIZzGYzXwrOhyuvvBKfffYZzp07hy5dusR7OAlBopc9u+KKK1BbW4tt27bhm2++wbRp05p0nL7tqVNdJAuFQnTo0CFs8p5YLKbVLAQCAf3/+vXr8Z///AfV1dX02CVLluD5558Pac9IdFJCJFssFphMprCiJ9KkPYfDAbFYXO9xROj5t5oNR21tLRVJ0RLreshmsxlmsxlarTbq8ajVani9XhpRjqasTlM3B4mEQ4cOQSAQoGfPns36viS6abFY4HQ64Xa70bp16wZXTEhmSGMRl8sV9vwiwthut8PpdNKbDqVSSSuKxHpu/S8c4YilQAYuNYtwOp28SP6TyZMnQyQS8Q0jfPAVhYl6nlx99dUwm83Yv38/fvjhB0ycOLHJ1kGRSER92nwZONQrks+cOYMVK1Zg9OjR6Nu3LwQCAQ4cOIDXXnsNEokEzz33HLp27QqJRIK5c+dizpw5yM7OxtixY5vxU8SGlBDJ58+fBwC0b98+5DEul4t6aULBsmzEjQzsdjsYhok4Aku2fnU6XdQiN9b1kC0WC8xmMzQaTYMEu0AgQFpaGrxeL2pqaiL2EcfLXuGLw+HAqVOn0LFjx2Yrtk+EnMVigcvlgkQiQWZmJvWz8wI5EJITQLpe+uIrjB0OB1iWpZVi5HJ5k3vlyGtHKpRj/d6kFFwydLuKBRMnTsTw4cMT1l4QD8h6nMg7DgKBABMnToTVakVRURE0Gg1GjRrVZO/FJ+9domPHjtizZ0/I54uKirBs2TJOzk5RURHKy8vx6aefYvjw4fRxvV6P5557Dj/99BMvkhOVCxcuAAjvR44kac/lcoFhmIh8y1arlV6Q64OUfJNIJFELw1j7kC0WC2pra6HRaBp1kRUIBNDr9aiqqoLBYEBmZmZI8R9ve4UvxcXF8Hq96NGjR5O/F7np8u2Ulp6eTkUfiSrHOtqYDBDLBWnF7G+lYFkWEomEtoNuai9qVVUVzp49i6NHj0KpVEKj0WDgwIHQ6XRN+r7BkMlkqK2tTdit9HgglUphtVrh9XpTfjsdaDllz0QiEW655RYsXLgQW7duhUajwYABA5rkvVJZJLMsSytSeL1eaLVaVFZWUvunP0qlEjKZjNNzwmKxoF27dhg6dChnZ75169bIz89HUVFRs32eWJISIvnixYsQi8XIzMwMeYzb7a5XoJLkqfouuC6XC263O6T/2R+73Q63242MjIyook6x9iGT1shqtbpBEWR/hEIh0tPTUVVVhZqaGqSnpweM0ddeoVKpGlz2LlYcOXIEAoEgZolUwSDi2Gw20+3OjIwMSKVSzmdXq9UwGo30Bo6Hi0wmoxU/GIbhCGNipWgOnE4nli1bRhNcq6urUVtbiz179mDQoEHo27dv0HO/qZBKpdS605AKOcnICy+8gOXLl+PIkSMJ09I83pCmIomOVCrF9OnT8dlnn2Ht2rVQq9VNsj6LxWKac5SMu3f+QpjU2t+2bRvOnTuH0tJS+p/JZAIAlJSUBJ3r9u3bw2g0orKyEgUFBWBZFm3atEFFRQXNYyKVQpRKJUpLS+MSMIgFSR9mYFkWFRUVyM7ODhlV8Xq98Hq9YYUIETaR+EOtVittoVsfDMPAbDZDoVBE7YWKZT1k0r5VrVZHVY2jPsRiMfR6PZxOZ0A3ueZsDhIJxGrRoUOHJrFakIh5ZWUlampqIBKJkJmZiczMzKDlxUgbc4vFEvOxtFQYhqGt0Kurq+FyuWgFmezsbGRlZUGj0TTrTsT3338PoVCIm266CQ888AAefPBB3HTTTejatSt27NiB7777DufOnQOAZikxJRaLIRKJUqLQf6QwDINz587hyJEj8R5KwkDKwLWEsmcqlQp33HEHFAoFvv32W/zxxx8xfw/fChctFZZl4fF46A6lyWRCdXU1ysvLUVZWhoqKChgMBtTW1tKdt5deegnff/89Kisr0bVrV8ycORMvvfQSgEtWVX86dOiAVq1aYfny5QDqdiauueYapKen4+OPP0ZpaSkEAgEsFgsWLFiA7du3Y8yYMc02D7Ek6SPJBoMBLpcLOTk5IY+JJGmP3H3VF5khJ2ikkV2LxQKGYaK2NsTSh2yz2WAymaBSqWIqkAkymQxarRa1tbWQSqWQyWQJY6/w5cSJE01itSDimJT3I6Xy6vu7CQQCqFQqmM3mlN4mZhiG2ihIpEcqlUKr1UKhUMDpdEKlUsXlBstgMKC0tBSXXXYZrS8ql8vRq1cvtGvXDh07dsT27duxfPly3HDDDejatWuTj0kgEEAqlfIeXB8GDRoEoK5NdVNt17c0JBIJjS4mwvpbH+np6bj99tuxYMECfPXVV7jvvvug1+tj9vpkDhJ9rfWNCPtGhcm/CaREm1gspgEXsVhM20aTxlx79uwJ0B8sy+K1114LKZIVCgUeeOAB/P3vf8djjz2GW2+9FVdccQVmz56NZ599FocPH0ZmZibOnz+PgwcPYuDAgbjhhhuaclqajMT/ZjQS4kcO18nK7XbXm7TncDjoxSccVqsVQqEwIm+xx+OB1WqNuuRbLH3INpsNRqOxya0OKpUKLpcLBoMBUqmUdiGMt73Cl+LiYgBAfn5+TF6PRD2JF1KhUECtVkdlnVAqlbSZS6T2nWSACGO73Q6Xy0WFsUajoQs+cCnhtb4qF02FUCikFW/ImMh2rVarRd++faHVarFx40YsW7YMt956a7OUIZNKpTR5mPclAwMHDgRQ11I3WbfTo8U3ea8liGQAyM3Nxc0334yvvvoK3333HWbOnBmz85vMQSJU/IilEA4HaWAV7PF27dqFjdhPmTIFZrMZ7777LtavXw+RSEQj8bt27QJQd2Pz0EMPYebMmdSC0dK+ey3jm9EIiEjOzc0NeUwkSXuRWC2IKIo0qlVbWwuhUBjV1n4sfch2ux1GoxFKpbLJxSqJipL24Lm5uQnlDfR4PDhx4gTatGnT6KoADMPAarXSOqRKpbJBta+BOhGmVCphs9maJMqfSJDmOyRiDIBGjOVyedCbWFLlwuFwxEUkKxQKpKen4+DBg+jevTuysrI4fyOxWIxu3bqBYRh89913OHjwYLOIZN/kT96XXOehzMrKQlFRUYuJnDY1IpEIQqGwRfiSfenWrRsGDx6M3377DVu3bqWtxxsLEZzNNR/NJYQbStu2beu1tcycORODBw/Gjh07sGvXLlRVVUEmk6Fz587o3bs3unfvji5dutCgYUu8fiX9SnHhwgVaUisYJMElnGAjLXDrS2YjmfaRiF7iB4rWTxyresh2ux01NTXNUovYt3qFSqWC1+tNuKzqs2fPwuVyNSohxFccsywLpVIJlUrV6AuySqWC1WqltaOTiWDCWCaTIS0tLaQw9kUgEEAul9NW3c25CLMsC5lMhp49e2Ljxo3Ys2cPRo4cydlFIpGTgoICDBw4EDt37sQ111zT5OXZRCIR9SXzIrnuPBk4cCDWr18Pi8XSYpOIYk1LregwevRonDlzBlu3bkWnTp3Qrl27mLxurOeDeISDiWF/IUx2o5pTCIejbdu22LBhQ73HFRQUoKCgIKZR/UQiqUUyy7K4ePFi2Dq9ZHsg3PYKsVrU17TAarVytoLDHUv8udFcwGLlQyYCWaFQNLlADtYchFTRkMlkCXMBb4zVwuv1UnEMgEaOY+VrE4vFtN1wMnTdI8KY2CSA6ISxP2RumqvtsP/O05AhQ1BTU4Pdu3fDarVi3LhxVAQLBAJqeZBKpVAoFJyLY1NBrGF88t4lXn75ZTz11FPxHkZCkcjtqcMhFosxZcoUfPrpp1ixYgX+7//+LyY7SaTCRTQ0VAiTf8dTCIejXbt2uHDhQtjqSuTzkV0Jgt1ux+7du3Hy5Ek4HA706tULV155ZdxtLA0hqUUyyX4PV6M3kqQ9spUb7i7J6XTC6/VGFEW22Wxwu93IzMyM+IsRKx+yw+GgAjlW7atDEao5iEqlgtPphNFoRFZWVtyTJFiWRXFxMdLT08OWCfSHtBG32WwA6j6XSqVqks+jUqno+dwSO0J5vV7a3MPlclERp9PpIJfLGxWBIKXzHA5Hk4tklmWxfv16tG/fHl27dqXrwuDBgwEAe/fuxYULF3D11VejU6dO9LOZzWYYDAbI5fJma1IjlUpRW1vbIn2ATUHfvn1hMBia5SalpSAWi+nOV0s7R7KysjB27FisXbsWP//8M6677rpGv2ao+UhWIRyOdu3awev1oqysLGSkPti1zm6347PPPsMXX3yBmpoaAHXz2qNHD3z88cctru5/Uotk4kfOysoKeREmnfbClYdzuVz1bs9ZLBZIpdJ675RIyTelUhnxXVWsfMhEIJPqCk31ha2vOQj5HJWVlTCZTNDr9XFdPMrKymA2m3HllVdGNA6PxwOLxQK73U7biKtUqibdapJKpRCLxbDZbC1GJJNKL77CWCaTxUQY+0Jel5SCa0pWrlyJAwcO4Ny5c6ipqUHPnj2Rnp6OrKwsjBw5Emlpadi3bx++/fZbdOrUCa1bt4Zer8fx48dx6tQp3HTTTc1W89q3XnJLOWeamosXL6KsrAxXX311ixIsTYVvslpLrMU+YMAAHD58GHv27EHPnj3RoUOHBr8WaUrk8XjozWWyC+FwEGF8/vz5kCL5l19+we7duzk7ND/88APef/99DB06FOPGjUPr1q2xb98+fPrpp3jxxRfx5ptvtqiIclKL5LKyMgCot/ybfxMHX3x9kuFew+VyRVSOxmw2g2XZqC7msfAhO51O1NTUQCaTNakoDWavCPZeIpEIOp0OBoMh7l5bYrWoz4/sdrupOBYKhdBoNFAqlc3iwxIIBLTSRSKXKCLCmDTIaSph7I9cLofRaGzyuUlPT6c3w5s2bUJZWRmuuOIKtG3bFhqNBsOHD0fbtm1x6tQpHD16FKdPnwZQlzg8evToZunkSCAXbV4kX+Kaa65BZmYm9u7dyyfv4dIOaksVyQKBAJMmTcJHH32E1atX48EHH6y330G4iDDDMDT4QTrmJrMQDkerVq0gEAhosDEYX3zxBWw2Gy1sAADz5s1Dr1698M9//pN2OR46dChkMhk+/vhjnDt3rllKYcaKJl0lDh8+jNWrV+O3335DSUkJRCIROnTogOnTp2PSpElBu68tWrQIS5cuRUlJCTIyMjBhwgQ8+uijUbdrBuoiyaTVbzBYloXb7Q67/elwOCCVSsNeeK1WK0QiUb3+WrfbTUt5RXohj4UP2el0wmAwNLlADmWvCIVcLodCoYDJZIJMJoub8Dtx4gTkcjmnxaYvvuJYJBIhLS0NSqWy2RdKIpLtdntMOiLGCo/HQ60UvsJYrVbXa1OKFUQEOp3OJr3h6tixI3bu3Im+ffuioKAAv/zyCyoqKjB48GB07doVaWlpaNOmDdLS0jBq1CiUlpZCKpUiLS2tQWtYYxAIBJBIJLwv2Yc+ffpgy5YtcDgcCfUdihdkF7UlJu8R0tPTMWrUKGzYsAGbN2/GmDFjggrgUBFhfyEsEAiQlpaW8ueHRCJBdnZ2WJFsNBpRUFBAG7BYrVY4nU5MnTqVCmQSuBgyZAg+++wzHD9+nBfJhHnz5mHHjh0YM2YMbr31VrhcLqxbtw6zZ8/Grl278Morr3COf+WVV7B48WKMGTMG99xzD06dOoVFixbh2LFjmD9/ftQtmy9evBjW80ruHEPdeTIMA6fTGTbqS7yW9ZXnIsl6YrE4Yk9iLHzIRCBLpdImE8j12SvCkZaWBpfLFTfbhcViQVlZGXr27Bkg5lwuFywWC21HHi9xTBAKhZDL5VGVGWwq3G43jRh7PB4aeWlOYewLaRff1CK5Xbt2yM/Px9mzZ3HTTTchKysLmzdvxo8//oiLFy+iV69eWLt2LXr27Ilhw4bFLOu+oUil0hbrOW0K+vTpg59++gnFxcXo379/vIeTELTEChckIkyEb0FBAfbv34/ffvsN2dnZyM7OBhBcCBMxHCoiLJFIeN/6n+Tm5oYVyZmZmaioqIDVaoVSqQTLstDr9SgvLwdQp6E8Hg/tHCuVSltcB9kmFcl33HEH/vvf/3K2+mbMmIG77roL3377LWbOnIlu3boBqIvmLVmyBGPHjsWcOXPo8Xl5eXj55Zexbt06TJgwIeL3NplMcLlcSE9PDymS60vaI929wkWISdJWfRdmp9MJp9OJ9PT0iC5WsfAh+zbviPR9oyVSe0UohEIh0tLSYDAY4HA4mj3adurUKQDg1K51Op2wWCxwOp0Qi8XQ6XQJU1VCqVTGJYHPt92pvzDWarVB22o3N6TKRVMJQvK6nTt3xqpVq1BeXo78/HxkZmZix44d2Lt3L44fPw6bzcbJg4inQJVKpTCbzS12Oz3W9OnTBwCwf/9+XiT/iVgsTriSnECgEPb9d7CI8JgxY/DVV19h+/btuPvuu+nNerTfPZFIxIvkP2nTpg21rQZjwIABWLhwIQ4fPoyRI0dCrVZjzJgx+PHHH7Fjxw4MGTKEXqe+/fZbuN1u9OrVq7mGHxOaNNzTv3//gAu5UCjE2LFjAdQJY8IPP/wAlmVx1113cY6fOnUqFAoFVq1aFdV7V1RUAAB0Ol3YyhaknmgwSLZ8qKgoKftWny+VRJFlMlnEwob4kKOto0xwuVyorq6GRCJpMoHsdrtRVVVF6z03VMz72i7Itk1zcfLkSQBA586d4XQ6UVVVherqajAMA71ej6ysrLhGj/0hCXx2u73J34vYkWpra1FZWYnKykpYrVZ6TrVq1Qp6vb7eJjvNhUwmA8MwTXbBJ5+xd+/eaN26NY4cOQIA1BY2cOBAmM1mCIVClJWVoaqqivN78YAI40QUQfGAiOSDBw/GeSSJA4kksyzb7O9Nvq92ux0WiwVGoxFVVVUoLy9HWVkZKisrUVNTA7PZTK/XpDJTZmYmcnJy0KpVK2RlZaFLly4YPnw4qqqqsGvXLmqdiJaWGFlvKlq3bo3S0tKQz48ZMwadO3fGc889h3Xr1gGoq2GdnZ2N559/Hi+++CIef/xxjB49GqtWrcKkSZPQs2fPuJxrDSUumQsXL14EAI5X+NChQxAKhXQRI8hkMhQUFODQoUNRvQcRyXq9PmwkOVR0hWVZOJ3OsNYI0va1PvsEqeEaqZ2gsT7kphbIjbFXhEKr1aKyshK1tbXNVuifZVmcOnUKOTk5cDgcMJvNdM4SITIaDIFAAIVCAYvFAq1WG3NbAxHGJGLs9XqpzSNRIsahkEgkEAqFcDqdTZo9LRAIkJ+fj23btqFv377IyMiAw+HA0aNH0aFDB0gkEmzbtg0VFRW45ZZb4pogJhQKIRaL622YlCoUFBQgLS0NNpuNb9n9J2KxGCzLgmGYJskLYRgmwBscLiIsFotpMKA+a4Q/Q4cOxdGjR7Ft2zZ0794drVq1inq8JJLMW5Tq7Bbl5eUhE6Lbtm2L2bNn44UXXsDf/vY3PPfcc8jJyYFIJMKFCxewdOlSAIBGo8EzzzyDmTNntrh5bfbVu7KyEsuXL0ebNm04210VFRXQ6/VBL245OTm0nWikX+LKykoACBmJJaWRQpnzXS4XGIYJabUgUWSZTBb2Iuj1emE2m6FSqSLa7mysD9ntdsNgMFCxF+uLgK+9QqVSxazLmUgkgkajgclkiqo8XkNhWRZnz56F3W5Ht27dIBAIkJGREbbSSaKgUChgNpvhcDhiInyIMCbJd77CWKFQtIg5AS410KgvjyAW9O7dG7t27cL58+eRkZGBdevWQSAQYMyYMUhLS8Pvv/8ek5vHWCCVSvlI8p9IpVKUl5ejuroaHo+nRZWiaip8y8A1VCRHKoSFQiGtEkGStaMVwuEQiUSYNGkS5s2bh1WrVuEvf/lL1NfApr5paEnk5ubC4/GgsrIy5A1HQUEB5syZg61bt2LVqlU4f/481Go1Ro4cic6dO6NPnz64/PLLkZWVBaDltaZu1hXc6XTikUcegdlsxjvvvMNZoOx2e8gFi1gUHA5HxElvFRUV0Gq1IStTkDvFUO9JkrVCXeRcLhfcbne9hbHNZjMEAkFEF+3G+pDdbjeqq6shEomaRCBHW70iWpRKJWw2G0wmU1SNVqKBZVm6tXf06FEAQPfu3aNqIhJvSKSlMaXzyE0iqWNMhLFCoYBcLm8xwtgfmUxGbTtNGSVMS0tD165dUVhYCLPZjMOHD2Py5Mlo1aoVhEIhhg0bljAXWIlEwkdOfSBrPin/meoQW4LH4wlrB/QVwv5i2Ncm19RCuD5yc3MxZMgQbN++HTt27MDQoUOj+n3yvU3kUpvNRW5uLoC6SmHhovI5OTm45ZZbcMsttwCo03putzuiDsSJTrOJZI/Hg7/+9a/Yt28f/vWvf2HIkCGc5xUKBaqrq4P+LqlVHCqqS0ocHThwgNYhPnbsGLKzs3HkyBF4vV7k5uZyvqDhkvZYlqV1/0J9oa1WK10EQuF2u2Gz2ZCWlhbRxakx9ZB9BXJj6ikHoynsFcEgpXeqqqpiXjuZfAaLxQKv1wu5XE7nq1OnTjF7n+ZCqVRGXRc4mDAmpQtbsjD2hXwfXS5Xk7U8J9uFPXr0QFFREUpLSzFw4EDk5+fT710iXRiIEOQjp3UUFxfjs88+wy233IKBAwfGezhxRyAQQCQSUbHbGCEsFoshEAjivo6MHDkSx44dw5YtW1BQUBBVEIR8d/nvC1ckX3755RH9DsuyUeVfJTrNIpK9Xi+eeOIJbNq0Cc8//zymTp0acEx2djZOnjwJl8sVcGKWl5eHLeVGTOAvvvhiwHMLFizAXXfdhZkzZ1LPk2+/+mBfZrfbTYVUMEiWf7hKDizLwmQyQSwWRyT2GuND9ng8TSaQG1u9IlqkUikUCgVqa2tj0nzCXxwrFAqo1WoIhUKUlJQgLy+vRWb9kxu4+momE2FMrBRkC5FYKSQSSdwvaLGEJOI2pUgm89WlSxeMHTsW58+fR79+/Zq9MkukEOHCR07rOH36NN588020atUqJUVyMCFMdtesVis9LpwQTvQdCbFYjEmTJuHzzz/H5s2baYQzEkjtaL7CBaBWq6HRaMKWgfMnma4nQDOIZIZhMHv2bPz44494+umnMWPGjKDH9erVC9u2bcOBAwcwYMAA+rjT6cSxY8cwePDgkO9B7ljeeOMNdO7cGWfOnMGGDRswaNAg5OXloUuXLtDr9XRhcLvd1AZx8eJFSCQSSKVSyGQySKVSOBwOCIXCkBcUq9UKoVAYVvySVrwZGRn1njSN8SETgSwUCmNusWhqe0UotFotKioqaHJaQ2AYhopjhmGoOCaCuKSkBC6XC+3bt4/l0JsNoVAImUwWVCSHEsZKpRJyuTzphLEvvr7k5uDKK6/E5ZdfntDikwQHXC5XxHa1ZKZ3794AEHUyeEuiIRFhYvNrKUK4Ptq1a4euXbviyJEjqKiooLWTI4EvA3eJnJwcWgghFWlSkcwwDJ599ln88MMPePzxx3HPPfeEPHbChAn45JNPsHDhQo5IXrZsGex2OyZOnFjv+3Xu3Bk9e/ZEVVUV0tPTqVk8IyODcxxJVFIqlbQjFRFUAoEATqcTCoUiaBYmEV/hmjmQkm9yubzeLYfG+JCJQCZJZ7Ha4m0ue0UoRCIR1Go1LBYLVCpVVJ+LYRhYrVZaL5eIY//xnz17FkBdB7WWikKhQE1NDU24cTqd1ErBMAzdxUh2YewPuXloLg9uS9hW5DvvXSIvLw86nQ5Hjhxp0T5t0qghWMKcvxAmnuBQEWGr1Yra2tqEqQcfK4YPH44TJ07g119/xZQpUyL+PV4kX4IXyU3I66+/jpUrV6J3795o1aoVvv/+e87z+fn5KCgooP++/fbbsWTJEsyaNQsjRozAqVOnsHjxYgwePDiqRiKkskUoLzCpgahQKCCTyaBSqWjhciKwnE4nysvLIZPJoFQqaekru90OlmXDRmRI9DKSKGhDfchNJZCb214RCpVKBavVCrPZHFFJOK/XS/92QJ1nV61Wh5yXs2fPQiQShWxF3RKQSqXwer2orKyEQCDgCGPSXSqZLniRQqK6TWm5aGlIpVI+ee9PBAIBunfvjuLi4oT3nfoLYd9/hxPC5N+RRoRFIhFYloXX602IiiyxIi8vD507d8ahQ4cwYsSIiL3JJOjAU2eFJUGlVKRJvw2HDx8GUFe4ffbs2QHPz5o1i4pkAHjuuefQpk0bfP3119iyZQvS09Nx55134pFHHonqYk/KyYVqFBIsaU8gEEAikUAkEkGlUiErK4vWijUYDNReYbPZwmZser1eGgGtb7FpqA/Z6/U2iUCOl70iGEKhkJaEC1c+j8w36XyoUqnqjT4zDIPz588jLy+vxV0QSFIp+Y9UWcnKyoJcLk9ZYexLU/qSCwsLUVJSgjFjxrSousO+Zb4SWRQ2F926dcPOnTtRVVVFk5PiRXMJ4XCQ8yPZRDJQF00+deoUtm3bhhtuuCGi3+FrJV8iJycHu3fvjvcw4kaTfhsWL14c1fEikQj33HNPWFtGfRAB2aVLF1rWyh+32x1yYXE4HHQBUqvVUKvVtEqFyWSCzWZDenp6yEYktbW1EAgEYZOpgIb7kMnnAxAzgRxve0UolEolLBYLzGZzQKk9EvW32Wx0vlUqVUQXC4/Hg6uuuqrZmpY0FoZhOFYKlmUhkUjoZ7ZYLFAqlQlVUSGeEF9yrO0FHo8Hv/zyC7xeL6699tqYvnZT49t5jxfJwLhx42g5yOYgEYRwOHwrOrQE+1A0tGvXDh06dMCBAwcwfPjwesu2Apci63yt5LpIckVFRcruQsVfCcUYUiM1PT0dLMsGPcFdLldQgev1euF2uwOsFBKJBGlpaXC73XRbu7KyEnK5HGq1mrO9a7fbw7bCBhruQyYCmWXZmAnkpmoOEgtIfWmj0UhvSjweD40cC4XCqMQxQSqVYsSIEU048sZDhLHdbofT6eQIY2KlIMdZrdaoaoinAlKpFLW1tTGNBO3duxdmsxljxoxpcUKTJO/x7XbruO222zB27NiYrnWJLoTDQcrAJasPd8SIEVi4cCG2bduGSZMm1Xs8Xyv5EtnZ2XC73TAajRHdYCQbSSeSDQYDANAoof+iQ7zHwawEDocDQPB6zG63m1arkMvltGROVVUV5HI5tQZIJJJ6bQoN8SH7C+RYRHoTyV4RCtJdzmg0QiwWw263QyQSQavVQqlUJtWdLcMwNFrsK4w1Gg21UvhDqrCQmxyeOqRSKa3yEYvImNvtxq+//gqVSoUrrrgiBiNsfiQSCd95zwexWBy175QI4WAJc4kuhOtDLBYnrUhu37492rVrh/3792P48OH17iL6iuRUJycnB0BdKV5eJCcBRCSnpaUBCCzq7/F4QnbaI1aLYIuY1Wql9WUFAgFNjrLb7TCbzbhw4QJtWhIuOtEQH3KsBXKi2iuC4Xa7wTAMjEYjNBoN0tLSoFQqEyba3ViCCWOpVBpWGPsjl8ubpctcS8K3NnAsRHJhYSEsFgvGjRvXIutqA3Uimdh1kuX701A8Hg9uvvlmdO7cGR999BFnPoIJYfLvYEKY1BEm/yad5VoaIpEoaW+iBAIBhg8fjiVLlmDbtm24/vrrwx5PGo/5/r1TFVI6r6KiAt27d4/zaJqfxFRGjaCmpgYAaGUJf5FMfIr+FzqyvU3Etf9zpB6t72JKxLJMJkNJSQkAwGg0QqvVBi2l0xAfMsMwMBgMYBgGmZmZjRaziVK9oj5cLhfMZjOcTienxm8yREuJMCZWCqAu8qnVaiGXy6Pe3iMimZQu5LmUiBsLX7Lb7ca2bdug0WjQv3//GIwuPojF4qSsYBAtLMtCKBTi0KFDqKyshMlkojuMoYSwRCKhN60tWQiHQyQS0d3UZKRTp05o06YN9u3bh+HDh4etPiUQCPiGIn+SmZkJoVCI8vLyeA8lLiTdSkkqUajVaprU5Qvxtvo/Hs5qQcqKhRJoVqsVUqkUGRkZsFqtMBqNsNvtSEtLoxejhviQGYZBdXU1vF5vTCLIiW6vINvjFosFTqcTYrEYer0ecrmc1vH0eDwt8gLv9Xo5EWOgThinpaU1SBj7IhKJaJQw0f6m8YTYUBobOf39999htVpx7bXXttgoMnApMNBSv0PRwLIsFb6hIsLt27fH0aNHYTabaffJZBfC4RCJRGAYJml3GgQCAUaMGIEvv/wS27dvrzf5Npk92tFArsNVVVXxHkpcSLqVsqamBjqdjkYL/AlVlcLhcEAqlQaIFWJNUCgUIWsuW61WmsBH2iqbTCZUVlYiLS2NtlmOxofsL5Abc3FOdHsFy7JwOp2wWCw0qZKIY7JYk0oXxKoSzWsD8WmVGUwYy2SymAhjf2QyGWw2W9Je4BqCVCqlNcsbOtculwvbt2+HVqvF5ZdfHuMRNi9kCzlZkvciEcKEYBHhHj16YNeuXXSXLtXx9eEm0vUhlnTp0gWtW7fG3r17MXToUGg0mpDHkpsGnrpKWqSqVqqRVN8ElmVhMBjQsWPHoBdG3057/o87nc6gXxiHwwGv1xsyilxbW0sj1wS5XE6z641GI8xmMzweD3Q6XUQ+ZGKxiIVATmR7Ban5a7FYaGmq9PR02rjFF1Kn2mq1QqPRRBzhCdcVMdzzDYUIY7vdTrf6ZTIZdDod5HJ5k0Wm5HI5Zx55LkVOXS5XgyPshYWFsNlsuO6661q8cCAWlJbkOyVluIJ1lfMXwqQ+dqQR4fz8fABAcXFxi21PH0tSQSQTb/LXX3+NHTt2YNy4cSGPFQqFLeq70pTwIjlJsNls1EoQrHRLsCYiAGjClL/VgmVZWCwWyGSyoEKV1K7V6/VBRZ1Op4NYLEZZWRmNYtQHEcgejwfp6emNEsiJaq8g4pjcPMhkMmRkZEAqlYYVraQLn81mq7cONQD88ccfOHfuHFiWpZ0V09LSkJGREdO58Hg8nOYeAoGgWYSxLxKJBEKhEE6nkxfJf0JEk9vtbtDfm2VZ7NmzB0qlEn379o39AOOAWCxOuAu/vxD2rxwRSgiTpk4NtUZ07doVAHDixAmMHTs2pp+pJZIqFR3y8/ORk5ODwsJCDB06NGQAjLdbXCIjIyNlW1MnlUg2mUwAgPT0dHi93gCxQOoc+wtPh8NBow7+x7vd7qBlT1iWhclkglQqDdnVixSrJ+2Rq6urodPpQl6wSSTc7XZT0dgQEtVeQebDYrFQcRxpdB0ArS5itVqhUqlCCmqHw4HvvvsOJ0+epK2afQvD63Q6dOzYEX369GlwW2oijO12Oz2vmlsY+0IaaITaEUlVGhM5PX36NAwGA6666qqE+P7EAlJGsbltOfESwuG48sor8dFHH7XYkn6xJtlrJRNINHn58uXYuXMnrrnmmqDH+TYUSSVvejAyMjJw9OjReA8jLiTHyv8ntbW1AAC9Xh/0xCad9nwvDiSqGazahNVqpeV9/LHZbPB4PMjKygp5sfH1IUskEhiNRtTU1MDtdkOj0QSMIxYCORGbgxDRbrFY4PV6IZfLodfrGxQlV6lUtCpEqJuT77//HmfPnsWYMWOQnp4OsVhMK5RUVVWhpKQEe/fuxbFjx3D99dejW7duEb23x+OB3W6Hw+HgCGO1Wh2ydGBzIpPJ+FJwfkgkElit1gaJwsLCQgBo0RUt/PG/YYwl4YQwKb1JaC4hHI7WrVvjjjvugNls5r38f5IqFR26d++OrKws/P777xgyZEjQ6z85D/n1lLdbJA0kkqzX6+HxeIKWf/MXny6XCwzDBAgur9dLK1T4L54Mw8BsNkOpVIYUesHqIet0OkgkEtTW1sLr9dIqF0Qgu1wupKenN1ggJ5q9gmEYKo4ZhoFCoYBarW6UhUQqlVLhE0wkGwwGnD59Gtdcc03QCJHX64XNZkNJSQl27NiBZcuW4aGHHgpZJD2YMCadFhNBGPtCbuZcLlfIG4hUQyKRUOEWTTTYYrGguLgYnTt3hl6vb8IRNi9kDoKtj5HQ0oRwfYhEokYndyYTqRBJBuqiycOGDcOKFSuwb98+DBkyJOCYVPBoR0p6ejqMRmNKVMbxJ6k+rdlsBgBoNBrU1NRwFj1SIN7fy+pwOOhC7ovVaoVQKAwqNEnkIdS2dqh6yAKBgFovjEYjDAYDdDodTCYTFcgNaXyQaPYK0irZarWCYRgolUqo1eqYjUmlUsFoNAb1nZeXl0MsFlMbhdfrpVn9QN3Cp9Fo0L17d+Tk5GD+/PnYs2cP9SSSbHlipfB4PBxh7FtxI9EgoiRclD3VaGjZs/3794NhGPTr16+phhYXRCIRrXARaq2JVgiTfAtfIey/Y5eojB07FqdOncLZs2d5kYy6v2csaou3BLp37w6ZTIaDBw8GFcm+keRUh1R/MRgMtLlIqpBUItlisXAqH/hGK0jZI18xTKwW/sKHRECDtT12u92wWq3QarVBF9VI6iGTcnIGgwElJSWQSCTIyMhokEBOJHuFrzhmWRZKpRIqlSrmgp38vWw2W9AbFa/Xi6qqKrRu3Tro34hsnymVSuTl5VGbC4kY+wpjrVYbtNpGIkJ8yalykYsEoVBIs9QjvXFgWRZFRUVQKpW0AkKyQHynbrc7ZMWI+oSwb4vllvC9CEdmZiZ27NjBJ7z+SarYLQDQMoBFRUWoqqoKKAMoEAj4rnt/kpGRAYAXyS0ei8WCnJwc+iX3FUik6oCvYCMXBf+Lp91upxFQX1iWpdHacCXhIqmHTGoyk8W5IRaERLFXeL1eKo4B0MhxU0VmSISfVLnwvVC3b98eGRkZ+PHHH8GyLDp37hzwtxIKhWBZFlVVVaisrET79u1RWVkJoVDY4oSxPzKZjJ6/ibKlHU8aUvbs/PnzqK6uxuDBg1v01iKJCPsLYZvNBrPZDJvNRo9NZiEcjrZt24JhGJSWlqKgoCDew4k7yd5QxJ+ePXuiqKgIhw8fxogRIzjPka57vEgGtSOmoi+55V4BgmC326HRaKhA8P2SB+u053A4IBQKOREElmWp39X/Aul0OuF0OpGenh50AQnmQw4Gy7LU39O6dWtYrVYYDAZkZGREtDAlir3C6/XCYrHQi61KpYJKpWqWbUulUgmbzQaXy8WJwCuVSowdOxbLli3DqlWr0LlzZ3Ts2BG5ubnQaDTwer0wmUyoqalBYWEhHA4HOnfuHLI+c0uDnHe8L/kSYrGYNnOJhKKiIgBoEc1DQgnhcBFhqVQKr9eL9PT0lBDC4WjXrh2AuhsjXiSnng+3Q4cOUCgUOHr0aIBIBlIrsh4OnU4H4FLeVyqRVN8ClmWh1WqpD9UXt9sdYGdwOBwBwsjpdMLj8QR0dSNRZJlMFtQWEcqHHGyMpG01if7KZDJUV1fDYDCEFOCERGgO4vF4YLFYYLfbqc9apVI1a+RSIpHQclb+f4/27dvj7rvvxu7du3HixAkcP34cQN2CR/7eNpsNcrkcEyZMQPfu3ZMm6kqSoniRfIloKlw4HA4cPnwYbdu2RVZWVjONMDwNEcLhIsKkxXsy3BQ2lrZt2wKoq6nOk3o+XJFIhIKCAhQVFaG6upraCgh8JLkOYps0Go3xHkqzk1QiGQCNFtaXtOfxeOB2uwMS+axWKyQSSUAk2Gq1wuPxBG0cEokPmRxHBK6vPYJ0mquurobJZAopfONtr3C73VQcC4VCaDSaoL7t5kAgEEChUMBisQTMF0mqvOqqq9CuXTtUVVXBZDLB7XbTxiJqtRo9e/ZETk5Os4+9KeF9yYH4VnSoz9Z0+PBheDyeZk/Ya2hEuCHWCFL/NVWiheEgCb68SK4jVRqK+EJ8yYcPH8bw4cM5z4lEoqRp494YBAIB0tLSeJGcDGi1WtpAghCs057D4aB1bgkejwdOpzNA6Hq9XpjNZqhUqqAX2Uh8yEQg22y2oAKXNKIwGo20AoPv78bTXuF2u2E2m2klkLS0NCiVyrhHoRQKBR2XXC6Hy+VCeXk5Dh06BKPRiG7duqFr167o1q0btdqkgtdOKpXytV99IN8VYrkKR3FxMYRCIbp37x7zcfgKYf9mGrEWwuEg88GL5DpLTVFREd1OTnVSMVmtY8eOkMvlOHLkSIBI5iPJl0hLS+PtFskAsVv4RoJJfVvfCwKxWviK2lBl38xmMwQCQdBKCpH4kIlVw2azhe24p1QqqSCXSCSQy+VxtVe4XC5YLJaEE8cEUs6quroaYrEYBoMB27dvx4ULFwDU+QyzsrIgFArxyy+/4MiRI1AoFMjNzUXfvn3Rpk2bhPkssUQqldJSdo2pSZ0sCIXCiCJCTqcTp0+fRocOHRpsVQklhMm/6xPCRAw35XlJooXhysClCgqFAt26dYPRaORvKnEpWS2VIsnEcrFv374Ay0WqzUU4SLnaVCPpRLJGo4HL5eLYLfyT9rxeL1wuFyd6QMq++VdLcLlcsNlsSEtLC4gSR+JDJgLZarVCp9OF9SsDgFqtprYKnU4Hs9nc7PYKp9MJi8UCp9MJsVhMhX0iXEBYloXT6YTD4aD/eTweZGdn4+TJkzAajbjxxhvRrl07rFixAgcPHoTBYMDZs2eRk5MDlmVRWFiIs2fP4pZbbkk6uwUAeq67XC5eJP+JWCyuVySfPHkSXjaRw2MAAE+1SURBVK+33gSuhghhmUzGqSHc1EI4HKnSfjhSjh8/jrNnz2LixIl8rWSkZvS0R48e2LdvH44cOYJhw4bRx0klJP4GCrzdIllQq9Worq7mCFr/JCaHwwEAnMdIhQZfEetb8i1YObj6fMgsy8JsNtNIc30CGbjk/SkrK0NpaSm0Wm2z2CuI+LRYLFRc6fX6hGie4S+MiZ2GRNYNBgNkMhlOnz6Nfv36oWfPnhCJRBg9ejS+/PJLaLVaPPTQQ9Dr9TCbzTh37hxWrlyJwsJCjBs3LukujGTXJJqyZ8lOJBUuiouLAQD5+fktXgjXBy+SL/Hggw/izJkzmDBhQtKtBQ0hFUVyp06dqOXCXyQD4Dsyoi6SfPbs2XgPo9lJKpHsa58gJzTpHOVrhXA4HJBKpfRYUvaNdIzyPc7lcgUtzVafD5kIZJJYFqqusj8Mw6C2thYsy0IkEkEqlTapQCYC1Gw204h7IpRDI+MiDT5YlqXCmGxNk/FJJBKYTCZYrVbk5OTQxCS9Xg+3240RI0bQQvE6nQ46nQ7FxcU4depUg9vzJjrR1gZOdsRiMWw2GyciRJLXvF4vnE4njh8/juzsbGqh8hXCRPS2JCEcDl4kX6Jt27bYvXs37HY731AEqZmsJhKJkJ+fj/3799MqUwAvkn3hPclJgEqlonfA5OT2T9pjGAYul4vjL3Y4HPB6vRwhS8SqXC4PWjquPh+yxWKBxWKBVquNWCD7Vq/IzMykfmS5XB7zcl6k26DFYoHb7YZUKkVGRgakUmncLvpkTOQ/IoxJO+hQSUtyuRylpaVQq9W0oYlAIEBZWRmNzJPXFwgE8Hq9yM3NxdmzZ5PWkymRSAJEYSpChDDDMHA6naipqQGAgIhwSUkJnE4nOnXqBJlMxkmUa6lCOByp1H64PvLy8sCyLEpLSwNKf6YiqerD7dGjB/bv348jR45g6NChAMC5oU51eLtFC4acwCqVKqDbnsvlook7QJ3flmVZjui0Wq0BXe+sVisYhoFWq+W8VyQ+ZLPZDLPZDK1WG1BiLtT4g1WvINFUo9GI7OzsmJRaY1kWdrsdFouFJu40tCV2LCDixW6307+NRCKBWq2mEeP6IDcyaWlpKCoqQvv27WEymbB9+3aa2Ne2bVuaze/1elFRUZHUGe3kXCY3QMmMb0Q4WOUIYp0g5xk5X3yFsG8DkVQQSiSSnOo3UQBoXkJ5eTl69OgR59HEn1S0WwCgN8i+IjnV6kaHQ6vVwmw2x3sYzU5SiGQSLVYoFLSRCFn4/ZP2HA4HbUQB1Ilol8tFt1eAS53kSAFtQiQ+ZIvFArPZDI1GE5FADle9gkRBKysrYTKZoNfrGzhDl4S4xWKhrbh1Ol1cBFQoYazRaIJ2OqwPYsPo2rUrNm7ciIULF9JSfr1798a5c+eQnZ2N3NxcMAyDwsJCnDlzBv3792+iTxh/kk0kRyKECb7WCPJvkUiEysrKoNYnlmVRXFyM9PR0astJdnztaKm+jUyaxlRVVcV5JIlBqiaricVi5Ofn48CBA6ipqYFer+dFsg+kqIDL5UqKa0qkJIVIJol4CoWCtqQmuN1uWhWCbOf7iler1UovqITa2lraSc6X+nzIFosFtbW10Gg0QcvF+RNJcxCRSAStVguj0QilUhl1xJf4ra1WK7xeLxQKBdRqdbNXPWAYhtooYiGMfSGtxfPz85GXl4fjx49DJBKhc+fOyMvLwzfffIO5c+ciMzMTcrkcJSUlaNeuHXr27BnDT5hYkOS9luQtbKwQrs8aEWo+ysrKYDabMWTIkJQRBb5NI1JdJOfk5CAzMzOq1uXJTCr7cHv06IEDBw7gyJEjuOqqq1KybnQoiB4ym80BnQmTmaQQyXa7HUDdtrvvok8uuEQQ+lstvF4v7HY7tFotvTiSCKdOp+MI4fp8yKTVq1qtrjeCHG1zEIVCAZvNBpPJhKysrIgu5KSkncViAcMwUCgU0Gg0zdo8gAhju90Ol8sFlmUhlUqh0WgCkiQbi1wuh9FoRNu2bdGuXTvOHE2aNAlqtRonTpyA1+tF9+7dMXLkyIRpO9xUJGLyXlML4XCESlY7ffo0AKBLly4N/2AtDD5Cdonrr78eJ06caFE3lE1JKovkzp07QyqVUpEMpK79xB+iaywWCy+SWxq+Jd18u+35J+2RphjkeavVCoFAQL3FpOSbRCLhRHXr8yFbrVaYTCao1WpoNJqwF/CGNAfxtV1YrdawIpxhGBo5ZlmWRo6bSxx7vV5OxBioa26h1Wohl8ubbNElNy7+5f6AupuM6667jtbHbu523vGClD1r7m1TIoSDlU7zFcKkXi8pn9bUyXJisThostoff/wBoVBIWxSnAkQIpWKCVjBSNVktGKl8AyUWi9GpUycUFxdTqyaxn6Q6viI5lUgKkUzEGIkkE8Hkdrtp0h6xWpCmGCSaq1Qq6aJgt9vhdruRmZnJyWoN50MmAlmlUtUrkCOxV4RCIpFApVLBbDZzxkzwer1UHAN19Z7VanWzRAKCCWOSSNeUwtgXIqycTmfISiAikShlBDJQd84wDNMkEaFwQtg3IhdMCPv6hJtTvAeLJLMsi/PnzyM3NzelGq/wDUUu4fF48NlnnyE9PR133XVXvIcTd1JZJANA69atcezYMZSXlyMvL4+3W/wJsZDyIrkFQiLJMpmMIwh8k/ZcLhe1HQB1gphhGJrEQ0q+KRQKjp0inA+ZWCBUKhXHsuFPtPaKUKjVathsNpjNZpqBT5IMSTMUlUoFlUrV5MKUCGNipQCaXxj7I5PJ+LJWPpBzrKG1oBsqhEnCazyEcDhEIhG9aSDf5crKSjgcDrRr1y7Oo2t+yHykOiKRCLNnz8bo0aMxY8aMmFQRasmketmz1q1bA6jLVcjLy+MjyX/i60lOJZJOJLMsS09ql8tF7REOhwNCoRASiQQsy8JisXASxiwWC1iW5ZR8C+dDttlsNJkunEBuiL0iFCKRCGq1mo7dbrfDbrfTJEOVStWkCzzxcJMmK0DdnOt0Osjl8rhfXKRSKWw2W0DyZqpChDEp9ReMZBPC4fDNVSDnx7lz5wAgJUUy77WsQyAQIDMzE9XV1bwYQt18pPK54SuSAdDa+qkOb7dowRCRTLZLfSNGUqmUWi1Ii2Wn0wmPx0OjsR6Ph3p9fYVFKB+y3W6nAjmc6G2MvSIUMpkMVVVVKC0tpZaKphTHHo+HWilcLhcEAkFCCWNfgvmSCwsL4fV6MXDgwHgOLS74tqcO1V45lBAmuwEtTQiHw1ckk7Xijz/+AFDXdS3VEAqFCZfYGS8yMjJgMBhSMlktGKlsMSC5RRcvXgQAas9MdUgvCWLpTBWSQiQTHyyJCvsu/hKJhIoCEiW2Wq2QSCRUVNXW1kIoFNI7pXA+ZLvdjpqaGigUipACOVb2Cl/cbjcsFgvsdjsVphkZGU3ioyTCmHi0E1kY+yISiejfnojkXbt2pYRI9o0I+wpgUnWF2HGSXQiHI1iy2rlz55CVlRWyMVAyk8rRQn+ysrKwb98+fj7+JNUtBq1bt8bJkyfh8XhSfi4IAoEAKpWKjyS3REgkmSASiWCz2SAUCiEUCmGz2ajQIwKQiF8SJdXr9VQghPIhOxwOKpBDNROJpb0CqIuKWiwWWpmDeH4rKipoY5RY4PF4qJXCVxir1WrIZLKEFca+CAQCSCQSji+5trYWubm5cRxV7AglhMm/Cf5CmJzLYrGY02gn1SDzQoSQ0WhEbW1tUjeVCQeZi1RrGhGMzMxMGI1GuFyupG1VHw2pHEkGgFatWuH48eOorKyEWq1O6bnwRalU0pK7qUJSiWTiRRUIBLTTGBHCxGphtVohFAqhUChoyTepVEojj6F8yJEI5FjaK1wuF8xmM5xOJ8RiMXQ6Ha3MAdSdrMQi0tALnNvtpjcJRBjL5fIWJYz9kUqltPydy+WC0+kMaC2eyDRECJOa06RyhK8QJpFk8l1IdXxLfZ0/fx5AavqRgdTtrBaMgQMHwmQywWq1RtQIKtlJ9eipry85Pz8/pefCF5ILlUoknUgm5d7cbjdUKhW8Xi/cbje9G7TZbFRYWq1WeDwe2qAjlA+ZCGRiOfC/oMTKXkGEndlshsvlglgshl6vpwLfF5VKBavVSiPWkb6+r5XC4/FwhHGw92lp+JY9I1m4iXbRi7UQDgf5Pni93mZtJJOo+JY9I57DNm3axHNIccO31FdLvCGOJU899RRmzJhRbyOoVCHVk9V8RXJBQQF/M/knCoWCF8ktDZKUB1xa7L1eLxiGgUQigcPhoNYB4stUKpVURCmVSlrxIpgP2el0UoHsa8kgxMJewbIsnE4nLBYLXC4XJBIJ0tPTIZPJwrbYJZ8pnEgmwphYKYjHSiaTQavVhn2Plgixn7jdbppgQMr8NSdk3kNVjiCQ5DpSw7khQjgcRBjzIrkO33yFqqoqiEQi6PX6OI8qPhBhzEfJ6kh1i4EvQqEwpTsQarVaKJVKlJWVcUriJdO1siHI5fIAe2uy0+Kvmr4dvEgk2Tdpz2q10q1mq9VKk5VMJhOAS1HGYD5kp9MJg8EAqVQaVCA31l5BBL7FYqH2kPrEsS9KpRI1NTXweDwcAUQi6SRiTEpeyeXypBTGvhAfOkl0BNBk0SF/Iewvign+Qti3s1xTe4T5zmpcfJPVqqqqkJ6enrJRVHLe8cIQ+PXXX/H+++/j0Ucfpe2IU5lUr+ggEAjQunVrnDt3js5DKs8HQaFQ8CK5peGbpEXEoNvtppn6TqcTaWlpcDgc8Hq9UKlUNMqo1WohEomC+pB9BXJ6ejpHyDTWXsGyLOx2OywWC61hm5GREbVvlNgj7HY71Go13G43jRj7CmPSICVZhbEvRJCSyg5A4yLJLUEIh4PcNPAiuQ6SrEZucHv06BHvIcWNVO+s5su5c+ewbNkyTJo0iRfJ4KPqQF3y3qlTp2AwGFLeo03g7RYtEF+RzLIsFb3EagHUicmamhpa589gMEAsFkOlUgX1IbtcrpACuTH2Cn9xLJfLodPpAhqVRINYLIbBYIDVaqV2E4VCAblcnjLC2B+JRAKn0xmxSG7pQrg++PbDlyAXu8rKSgB1VQ1SFT6SfIlUbZQQCl4UXvIll5eXo3Xr1ik/H0CdliK78KlC0olk0oJarVbD4XBAKpWCYRi4XC7o9Xo4HA44nU6kp6cDQIAP2eVyobq6GhKJJMBi0VB7BYk8WywWeL1eyOVy6PX6BpVvI8l9pCqF0+mE0+mEWq2GWq1OWWHsi1gshs1m43jQk10Ih4NvP3wJEj2tqKgAUFcfN1VJ9c5qvqRqy91QELtFKvtweZEcCB9JboEE6xjFsiwkEgksFgs0Gg2sVitEIhFkMhkqKyshk8noHZGvD5lEkEninG9iS0PsFaSahsViAcMwUCgUUKvVUYtjIoyJlYJ4r0kkmkS9U72+p68Qdjqd9I63trYWtbW19LhkFMLh4DurXcJfJGdnZ8dzOHEn1b2nBJKbwkeS60i2NbAh6PV6yGQyWgWH/57wnuQWiW8kGbi0dUiK5EskEpjNZiqWvV4vMjIyAnzIbrcbBoMBIpGII5B97RUqlQparbbeBYRhGFitVmqBIO2jo/UtBxPGSqUScrkcEomEjkMmk8HpdCZcqbOmgAjhYJUjSESYYRg4nU7YbDZIJBI698kshMMhEoloV8pUh3yvKysrIRQKkZGREecRxRd+W70OEklOtZa7oeArOlxK3rtw4QKNqqc6MpmMF8ktjaysLFx99dX48ccfAYBWeiBNOIiIlslkqKqqov5UXx+y2+1GdXU1RCIRp7pFtPYKhmFgsVhgs9nAsiyUSiVUKlXE4piUgiNWCoZhIBaLgwpjX+RyOYxGY9LUOw0mhMm/g1kjSB1h39JpFRUV8Hg8UCqVLaqZSFNAttRT+YJHIJ+fVLYQiURxHlF84RO06mjVqhUeffRRDBgwIN5DSQh8/erJcE1pKK1bt8bZs2dhMpmoRTOVkUgkKbcr2eJFslqtRpcuXQBcqu1IRLJCoYDVaqXd6QQCAdRqNQwGA/UhezyeAIEcrb3C6/XSyDFQlyimUqkiugATYWy32+F0OjnCmAi/+oQNsVmQz9wSYBgmZA3hUEJYKpXSf4tEorARYbFYDIfD0WLmoynhO6tdwrf1fOfOneM8mvjDR5LryMjIwH/+8x/ebvEnvpHkVIYIY4vFkvJzAfAiucVD2lHLZDKO7UIqlaKmpgZpaWm0skRGRgYYhgkQyNHYK7xeL40cA3XiWK1W13vnTeojk/9YlqXVNuRyeUTC2BeRSASRSASXy5VQorCphXA4iMVAp9PF8BO1TPjOapcgybkMw/Dd1cB3VvOF92dfghfJdcjlcgB1ts5UnwuAF8lJAcuyVAw4nU5IpVJYrVZIJBIIhULqQxYKhaiuroZQKKQe5EjtFR6PBxaLBXa7nUanVSpVWAFCfLK+wpj4ZYmVojFIpdIAf3ZzEE8hHA6SiJnqyYwAXw/XH5KdnQoe/vrgheElxo4di27dumH+/Pkpv+NCSPVzw1ck8/AiucVDtpSJ5cLlckGlUsFqtUKn08FkMtH6wdXV1RAIBDSCbLVa67VXkC5udrsdQqEQGo0GSqUypDgmwphYKXyFMbFSxAqpVAq73d4kW+q+Qtg/Uc5XCAuFQpocJ5PJOC2WBQJBs154yM0SWeRSGV4kcyEimY8k8yLZl2PHjgFI7WQ1Qqp/fgIJlJHrd6rDi+QWDsuy1DJBqkHY7XbIZLKgnuSMjAwIBAIYjcawzUHcbjfMZjMcDgdEIhHS0tKgVCqDLiQMw3BqGBNhrNFoqJWiKSCRaNLeOlpCCWGPx8MRV6GEcFNFhBuKx+MBgEY1akkWeJHMhdij+EgyL5J9ITVg+fng7RYE3m7BRSqVUk2QKta9pBDJ5OQlGfzApSoXDMNAIBDA4/FAp9OhpqYGAKgnOZy9wuVywWKxUHGs0+mgUCgChGAwYSyVSptcGPsSiUhurBCOR0S4oZDP01gbS7LAi6FLEJHMR5L588IXsVjM+7N5OPB2Cy7keurxeFImAJVUIplssRMhR/6QDocDarWadlNKT0+Hw+EIaq8g9YktFgstIxdMHBNhTKwUAKgwVigUzV5ainh+3W433G53SgjhcJDPmuolvgDQvycvhurgI8mX4M+LS0gkEng8Hn4+wEeSCXwkmQsRyS6XixfJLQnfShZEJAuFQpq8Rfy6QF0XHeIr9rVXkFJsFosFLpeLtqWWy+V0wfB6vZyIMVAnjNPS0iCXy5tNkIWKCJPOfkQECIVCaoXwF8LJvlVCfFPNEcVvCfD1cC/BR5Iv0dJvhmNJL48HfysrA1tUBFxxRbyHE1f486IOkUgEiUTCN2P6E98d61QhKRSEv0gmvmSgTiiSLTStVguj0cixV5BybGazGW63m7aklslktDySvzCWyWRNLowZhgnaVS5YRJgIYaVSCY/Hg8zMzJQQwuEgf3M+klwHHzG8BMlT4M+NOvjzoo5X+vdH92+/hXflypQXyQT+3KiLJvOJe3UQTZFKc5FwIplhGCxatAhLly5FSUkJMjIyMGHCBDz66KMhS7IR0ehvt/B9XqVSwWg0UnsFSeqzWCzUx5uRkQGpVEqjsXa7ndOxT6fTxfTi6i+Eff8dSgjLZLKAFssEUqEjVGe+VIK3W3Dhm0ZcgtwM8/Dth33JP3ECACBYswb4z3/iPJr4wtstLqFQKHhP8p8QvZFK3v2ECzW+8sorePXVV9GlSxe88MILGD9+PBYtWoSHHnoo5Bf21/MsnNPW4PdyGRXKvr3WJRIJLBYLFAoFMjIy4HK5UFlZiZqaGgiFQmRkZECv19P21OXl5aitrYVQKIROp0OrVq2QkZEBpVIZtehiGAYulwt2ux1msxk1NTWoqqrCxYsXcfHiRVRVVaGmpgZWqxVerxcikQgqlQp6vR6ZmZlo1aoVWrVqhczMTOj1eup5lkqlAZFioVCIqqoqzJkzBxUVFQ37AyQJDMPAbrdj5cqVKT8XAFBdXY1PP/2UnwvUddvbu3cvPxeoa8+9YMECfi7KyyE8cAAAINy/H5WHD8d5QPHHYDDg448/TvlzQy6Xo6amhl8/kZqVkhIqknzixAksWbIEY8eOxZw5c+jjeXl5ePnll7Fu3TpMmDCB8zssCyy/0BFsegZ+MGox1Wui/kvyB3W73dDpdGBZFpWVlfB6vZDL5dBoNPB6vaitrYXb7YZAIKARY7lcHrFdIdYR4YYiEolQXV2NDz74AKNHj0Z2dnajX7Ol4vV6Ybfb8eOPP+LOO+9M6bkA6kTyZ599huuuuy7l56K2thZ79uxBZWVlys9FVVUVFi5ciIkTJyInJyfew4kfP/3E+dG5ahXQs2ecBpMYkBvr8ePHp/T3RC6Xw2g04quvvsKECRNSei5ScYchoUTyDz/8AJZlcdddd3Eenzp1Kt566y2sWrUqQCRvPQ+UeDIAAGVsNnZXODG4lZNGfIkgNZvN8Hq9kEqlkMlktLseEcZqtRoymSxsY5BEEMLhSGUPsj+ptB0UCam+le4Lf25cgj8v/mTNGnhQd0H0ANBs3Qo8+2ycB8WTCMjl8pQSheHgI8lx5tChQxAKhejTpw/ncZlMhoKCAhw6dIjzOMsCb+4EBGDAQggBGCw8kYlBOaUQCAQQiURgGAZms5k2u3C5XHC73ZDL5QHCmFgjIhXCpHxacwrhcPAXvEuk0peYJzp4kZyilJYC5eWBj7Ms8OOP9GIoBqDetg0oLASCrak5OUCbNk05Up4Egu/aegleJMeZiooK6PX6oPX3cnJyUFRURH27QF0U+UA5QKzVLIQ4XqtAYZUSV+a64XQ6qVgG6sS2VCqlReM9Hg8cDgcVw/UJYd/OcolIoo4rHvB3/jyh4EVyijJ1KrBjR/Dn/MSw0GoFBgwIfuxVVwHbtsV4cDyJCi+SL8HbLeKM3W4PWaBaJpMBABwOB1QqFY0iCwUsGPbSAicEi8+O6dE/sxRSqQQSiYQ2yHA6nbReMnBJCEskEtoZL9GFME9kpNKXmCc6eJGcotx9N7B7N+D11kWPffH7WRBs/RAIAJGo7nVSAH5nso5QVbVSET6SHGcUCgWqq6uDPkdqFJO7uktRZL8W0RDgeK0CC7acQjfpRQiFQqSnpyMjIwMikYj+R5qNJBvnz58HAJw6dSrOI4kvp0+fhslkAsDPBQCcPXsWAD8XDMPAaDQC4OcCAM6cOQOg7vuSjOshhyuvhGLhQrR75BGITCYIorhZYkUieNPScH7OHNgvuwxIgeoX586dA8B/Ty5cuMBfS/6EnBOpJJIFbAKF3O69917s2LED+/fvD4goT5s2DSUlJdi2bRtYFpj0NXC4AvAGGz3jgaDyCKTf3gL+XpiHh4eHh5Dl8eD9CxfQx+GIqAYqA2C/XI5Zubmo4jt48vDg559/Rtu2beM9jGYhob7xvXr1wrZt23DgwAEM8PGDOZ1OHDt2DIMHDwbgG0UOgVAMNqcP7n1pAborK6HX65Gent7Eo+fh4eHhaQkI3G7U/uMf0P3wQ73H1l5/PWT//jc+5RvQ8PBAq9WmjEAGEkwkT5gwAZ988gkWLlzIEcnLli2D3W7HxIkTqRdZJAgRRf4TkQDYhisxe2LwBGUeHh4enhSmb19g3bo6j3IoRCLo+vWDrm/f5hoVDw9PApFQdgsA+Pe//40lS5ZgzJgxGDFiBE6dOoXFixdjwIABWLBgAbaeF+DOlZG/3qIbgBHtm2q0PDw8PDwtkr59gf37IzuuqKipR8PDw5OAJJxI9nq9WLhwIb7++muUlpYiPT0d1113HR555BEolUpMXBrGi+yHSAD0zAZW3cpHk3l4eHh4/qS8HGjVivuYQFBX5YL83//4FO60xsOTqiScSK6P9u9G/zt8NJmHh4eHh7JoEeDb2VUkAjQa4NFHgffeA8xmrg1j0SJgxozmHycPD09caXE1f6INCAtQ52FuWbcCPDw8PDxNxtq1gFB4aYtx0iSguBh46aW6/0+aVPe4QFB33Nq18RsrDw9P3GhxkWRfGIbBokWLsHTpUpSUlCAjIwMTJkzAo48+mpQFwA8fPozVq1fjt99+Q0lJCUQiETp06IDp06dj0qRJAcXfU2l+Kisrce2118JsNuPZZ5/FzJkzOc+nwlwYjUZ88skn+Pnnn3Hx4kWoVCp07doVf/vb33D55ZfT41JlLubOnYuNGzeirKwMGo0G+fn5mDlzJoYNG8Y5Nlnm45NPPsHhw4dx6NAhlJaWoqCgAN9//33QY6P5zC1xfiKdi1RYU6M5L3xJ1jU12vng19XUJqGqW0TLK6+8gsWLF2PMmDG45557cOrUKSxatAjHjh3D/Pnzk65j0Lx587Bjxw6MGTMGt956K1wuF9atW4fZs2dj165deOWVVzjHp9L8/Oc//wnbSS3Z56K0tBQzZsyAx+PBjTfeiLZt28JsNqO4uBjl5dx6ick+Fw6HA7fddhtKS0sxdepU5Ofno6amBt988w3+8pe/4M0338TEiRPp8ckyH2+//TZ0Oh169eqFmpqasMdG85lb4vxEOhepsKZGc174kqxrajTzwa+rPGBbKMePH2fz8/PZWbNmcR5ftGgR261bN3bNmjVxGlnTsWfPHtbhcHAe83q97B133MF269aNLS4upo+n0vxs2bKFLSgoYD/99FO2W7du7Oeff855PhXm4rbbbmOvv/561mg0hj0uFeZi3bp1bLdu3dgFCxZwHq+urmZ79uzJ3nHHHfSxZJqP8+fP03+PGjWKnTRpUtDjovnMLXV+Ip2LVFhTI50LX5J5TY1mPvh1lafFeZIJP/zwA1iWxV2+yRcApk6dCoVCgVWrVsVpZE1H//79IZPJOI8JhUKMHTsWAHDixAn6eKrMj91ux0svvYRbbrkFffr0CXpMss/F77//jsLCQjz22GNIS0uDy+WCw+EIemyyzwUAmM1mAEC2XzWCtLQ0SKVS2toeSK75iLTAfzSfuaXOT6RzkQprarSNH5J9TY10Pvh1lQdogYl7hEOHDkEoFAZ8iWUyGQoKCnDo0KE4jaz5uXjxIgBwugqmyvzMmTMHdrsdTzzxRMhjkn0ufvnlFwCAXq/H3XffjT59+uCyyy7DhAkTsNYv4SjZ5wIABg4cCLFYjP/973/45ZdfcPHiRRw7dgyzZ8+G1+vF/fffT49NhfnwJ5rPnIrzA/BraqqvqQC/rvLU0WJFckVFBfR6PaRSacBzOTk5qKysDOunShYqKyuxfPlytGnTBv3796ePp8L8HDt2DAsXLsTs2bORlpYW8rhkn4szZ84AAGbNmgWRSIS33noLL7/8MhiGwd/+9jesXLmSHpvscwEA7du3x5tvvgmbzYb7778fI0aMwOTJk7Fnzx4sXrwYV1xxBT02FebDn2g+cyrOD7+m8msqwK+rPHW02MQ9u90e9IQEQLfPHA4HVCpVcw6rWXE6nXjkkUdgNpvxzjvvcOYj2eeHYRi88MIL6Nu3L2688cawxyb7XFitVgB14nDu3Lk0QeSaa67BmDFj8NZbb2HSpEkQCoVJPxeE7Oxs5OfnY9KkSbj88sthMBiwcOFC3Hffffjss8/Qq1cvAMl/bgQjms+cavPDr6n8mkrg11UeoAVHkhUKBVwuV9DnnE4nAHC8h8mGx+PBX//6V+zbtw8vvfQShgwZwnk+2efnyy+/xOHDh/Hiiy/We2yyzwUZ+0033cTJoNbr9Rg9ejQqKipoVCTZ5wIADh48iLvuugtjx47F7Nmzcc0112Dq1Kn46quvIBaL8Y9//IMemwrz4U80nzmV5odfU/k11Rd+XeUBWrBIzs7ORk1NTdATs7y8HFlZWRCJRHEYWdPj9XrxxBNPYNOmTfj73/+OqVOnBhyTzPNjNpvxv//9D9dffz0UCgVKSkpQUlKCqqoqAIDJZEJJSQlNskjmuQDqtvMAICsrK+A58pjJZAKQ/HMB1F3s3W43xo0bx3lcq9ViyJAhOHLkCCe5L9nnw59oPnOqzA+/pvJrqj/8usoDtGCR3KtXLzAMgwMHDnAedzqdOHbsGN1OTTYYhsHs2bPx448/4umnn8aMEK1Sk3l+TCYTLBYLVq5cidGjR9P/Hn/8cQDAhx9+iNGjR2P37t0AknsuANBkkbKysoDnyGMZGRkAkn8ugDp/IFD3XfGH+AI9Hg+A1JgPf6L5zKkwP/yayq+pweDXVR6gBYvkCRMmQCAQYOHChZzHly1bBrvdzmkWkCwwDINnn30WP/zwAx5//HHcc889IY9N5vnJyMjABx98EPDfY489BgCYMmUKPvjgA/Ts2RNAcs8FUOeRU6lU+PrrrzmRjLKyMmzcuBEdOnRA+/btAST/XABA586dAQDfffcd5/HKykps27YNeXl50Ov1AFJjPvyJ5jMn+/zwa2od/JoaCL+u8gAtOHEvPz8ft99+O5YsWYJZs2ZhxIgROHXqFBYvXozBgwdjwoQJ8R5izHn99dexcuVK9O7dG61atQpopZmfn4+CggL672SdH4VCgWuuuSbgcY1GAwDo1q0b5/lkngugrv7v008/jRdeeAG33XYbJk2aBLvdji+++AIej4fjwU32uQCAGTNmYOXKlXjjjTdw/Phx9OvXDwaDAUuXLoXJZOJ4LpNpPlauXIkLFy4AqNs+d7lc+PDDDwEAubm5uOGGGwBE95lb6vxEOhepsKZGMheptKZGem7w6yoPAAhYlmXjPYiG4vV6sXDhQnz99dcoLS1Feno6rrvuOjzyyCNQKpXxHl7MmTFjBt3uCsasWbPwyCOP0J9TbX527dqFO++8E88++yxmzpzJeS4V5mL9+vWYN28ejh8/DoFAgH79+uHhhx/mlLECUmMuysrK8NFHH2HXrl0oKyuDRCJBr1698Je//AXDhg3jHJss8xFufRg4cCAWL15Mf47mM7fE+Yl0LlJhTY3mvPAnGdfUaOeDX1dTmxYtknl4eHh4eHh4eHiaghbrSebh4eHh4eHh4eFpKniRzMPDw8PDw8PDw+MHL5J5eHh4eHh4eHh4/OBFMg8PDw8PDw8PD48fvEjm4eHh4eHh4eHh8YMXyTw8PDw8PDw8PDx+8CKZh4eHh4eHh4eHxw9eJPPw8PDw8PDw8PD4wYvkZmTFihXIz8+n/82ZMyfeQwrKnDlzOONcsWJFvIfUbJSUlHA++4wZM+IyjquvvpozDh4eHh4eHp7mRdycb+Z0OrFs2TKsX78eJ06cgNlshlwuR1paGjIzM1FQUIAePXpg9OjRyMrK4vzuggULYDab6c++rUJ5Egt/UScQCCAWiyGXy6HX69GmTRv06tULEydOTCkBWFJSgu+++47+3L17d1xzzTVxHFF8IK1ugyGRSKBWq9G2bVtcccUVuO2229C2bdt6X3PPnj1Yu3YtCgsLcfHiRVgsFsjlcrRr1w59+/bF2LFjceWVV8b6o/CE4fjx41i8eDF2796N8vJyCAQC5ObmYvjw4bjnnnsC1nh/jh49ikWLFmHXrl2orKyEUqlEx44dMWHCBEybNg1SqbTRY7z66qtRWlpa73FPPPEE7r//fs5jK1aswLPPPlvv70qlUhw8eDDocwzDYOXKlVi1ahWKi4thNpuRkZGByy+/HLfddhsGDhwY2QdJIc6ePYslS5Zg165dKCkpgdvthkajgVarRV5eHnr27ImePXti3LhxYV8n2jWjpKQEo0eP5rxGcXFx0Nf2b3396quv4qabbgIAjB07FufOnaPPrV27Fp07d+b8/gcffID33nuP/hyqffiwYcNQUVFBf/7tt9+g1+s5xxw+fJi+ty8//fQTOnToEHT8QOjvhkAggFKpRG5uLvr164dbb70VvXr1CjjumWee4VzvIiXUnMaLZhPJ5eXluPvuu3Hq1CnO4xaLBRaLBaWlpdi/fz8AQKFQYPLkyZzjFi1axPmD8SK55cCyLNxuN9xuN8xmM86fP4+dO3di7ty5GDVqFF555RWkp6fHe5gAAJFIhMzMTPpzWlpazF67tLQU77//Pv35xhtvDCmS9Xo9nE5nzN67peB2u1FTU4OamhocOHAAixYtwjvvvBNynsrLy/HMM89gx44dAc9ZLBYcOXIER44cwZdffhlU6PA0DYsWLcJrr70Gj8fDefzkyZM4efIkli9fjvfffx+DBw8O+vsLFizA66+/Dq/XSx9zuVwoKipCUVERli9fjs8//5zzXW1pWK1WPPjggxwxBQAXL17E2rVrsXbtWtx7772YPXt2nEaYeKxZswbPPPMMXC4X53GDwQCDwYCzZ89i27ZtEIlEOHLkSNDXiPea0a9fP45ILioqChDJRUVFnJ8PHjwIj8cDsfiSZCstLeUI5A4dOgQIZAD44Ycfgo7jhx9+wKxZs6IeP8uysFqtOHHiBE6cOIFvvvkGzzzzDO66666oX6sl0Gwi+emnnw4QyBKJBCqVChaLJWAx5Uke9Ho9hEIhzGZzwOK2efNmTJkyBYsXL0ZeXl6cRniJ1q1bY/v27fEeBr799tt4D6HZEAqF9CbJZrPBZrPR59xuN/7+979j6NChkMvlnN/7448/cNttt6GysjLgNTUaDTweD+x2O30sFW864sHPP/+M//znP5zHpFIpvVkGALPZjP/7v//DqlWrAnYK1q9fj1dffZXzmEqlgsPhoKL5+PHjeOCBB7Bs2TKIRKKYjFupVEKpVIZ8rj5CCXaZTBb08SeeeIIjkAUCAdRqNWfH9LPPPkOrVq1C7rykEn/88Qeefvppeg4RVCoVBAIBLBZLRK8R7zWjX79+WLlyJf25qKgIN998M/2ZZVkcOHCA8zt2ux3Hjh3jRGz9hXS/fv0C3othGKxduzboOFavXh2VSE5LS4NEIoHFYoHD4eC8x+uvv44RI0ZwItNqtTrsTazH44HRaOQ81qVLl4jH01w0i0g+d+4cdu7cSX/u0KED3nzzTfTu3RtA3WSdOnUK27dvD3nXw9Ny+eabb6gAPnPmDL799lssWLCALnYXLlzArFmzsGzZsphsofK0LFq3bo1NmzbRnzds2IBHHnkELMsCAIxGI/bu3YshQ4bQY1wuFx588EHOxU4sFuP+++/HtGnTkJOTAwAoKyvDxo0bsWDBgub5MDx4++23OT8/9NBDePjhh8EwDP773//iiy++AFB3Q/Taa69xdlc8Hg9efvll+rNAIMAbb7yBiRMnoqamBg899BD27t0LADh06BC+/fZbTJ06NSbjvueeexq1QxnNzfUvv/yCzZs30587dOiA+fPno02bNvjtt99w//33U4H2v//9D5MmTYJOp2vw2JKBb775hiOQp02bhscee4zeYJvNZhw8eBCbNm0KKgwTZc3wF7P+YvfUqVMwmUwBv1dUVBS1SN69ezcuXrwYdBxnz57FwYMHqQ6rjzlz5mDQoEFgWRa//fYbHnzwQSqWPR4PNmzYgPvuu48e//zzz+P5558P+XrPPfccJxgkl8vxzjvvRDSW5qRZRLK/x2T69OmcP4xYLKYJSvfccw8n2ujv7SH4e1k3btyIvLw8lJeX4/vvv8ehQ4dw6tQpGI1GmEwmSCQSZGdno0+fPrj11lsxYMCAgNecM2cOZ8F+9dVXMXToUHzwwQfYsmULqqurkZ2djWuvvRazZs2CQqEIeA23240FCxZgxYoVKCkpgU6nw8iRI/Hoo4/WO08HDx7Ezz//jEOHDqGkpARGoxEWiwUKhQJ5eXkYNGgQbr/9drRr1y7gd/3naePGjfjjjz8wd+5cHDp0CCaTCYsWLcKgQYMA1G31ffzxx1i7di0qKiqQlZWFcePG4eGHH653nI2hY8eOePLJJzFw4EA88MADYBgGQJ3/cOXKlUEveEePHsWXX36J33//HeXl5WAYBq1atcKQIUNwzz33cCJRTqcTV111FY3G5ObmYtOmTRAIBJzXXLp0Kf75z3/Sn8m2mr/vzN8L1pDzK5iXDQC+++47jmfL9738/WDBfFo2mw3Lli3Dxo0bqcdfpVKhQ4cOGD58OKZPnx7UxhLstX/99VfMnz8fBw8ehNvtRrdu3XD//fdjzJgxAb/v78WcNWtWTO1PY8aMQX5+Po4dO0YfMxgMnGO++eYbnDx5kvPYq6++ikmTJnEea926Ne644w5MnToVZ8+ebdB4gp0T8+bNw8cff4zVq1ejoqICbdq0wW233YYZM2ZAIBCgrKwM7733HrZu3Qqz2YwOHTpgxowZuOWWWwJef+fOndi6dSsOHTqEixcvoqamBna7nf4tr7rqKkyfPj2oh9disWDJkiXYvHkzzpw5A6vVCoVCAZ1Oh44dO6Jfv34YM2YMunbtSn/H5XJh2bJl+Omnn3Dy5EnU1tZCKpVCr9dTP+aoUaNw2WWXRT1XFy5c4OwYpqWlYdasWTTa+9RTT+Hrr7+mO4ebNm1CZWUl/Wxbt25FeXk5/f1hw4Zh4sSJAOp2pJ555hnOGrFs2bKYieTm5JtvvuH8/Nhjj6FNmzYAgMGDB+PGG2/E0qVLAdR9z9esWYPbb7+9Qe8V7NpgMBjw8ccfo7CwEDabDR07dsTtt9+OW2+9NeD3g60X3333HRYvXoxTp04hLS0NY8eOxV//+leo1Wo4nU588sknWLVqFS5evIjs7GxMmDABs2bNCtgNigb/NfDJJ5+ERqOhP2s0GgwZMgRDhgwJalFpzjUjHF27doVGo6HXqNOnT8NkMlFrn6/47dGjB7WNFBUVcRLJ/UVy3759A97LP+g4dOhQbNu2jfN8pCKZIBAIcOWVV2LcuHH4/vvv6eMlJSURv8YPP/wQsFv6/PPPc9apRKFZRLL/9sjWrVsxZcoUqNXqoMc3JppYVFSEt956K+gYzp49i7Nnz2LVqlV45JFH6t1qOHToEF577TXOlkBpaSnmzZuHY8eOYd68eRzx5XK58H//93+ck7CiogLLli3Dpk2bOFsqwfjuu+9olMUXs9mMo0eP4ujRo/j666/x7rvvYsSIEWFfa/ny5fjkk09oNM6X2tpa3HnnnTh69Cjnc82fPx9btmxplgSn4cOHY8qUKVi+fDl97Ouvvw644L377rv46KOPAj4H+Vt+8803eO211zBhwgQAdVub48aNoxehCxcuYN++fQF32evWraP/FgqFAQtlKGJ5fjWGY8eO4aGHHgpIrDCZTNi/fz/279+PxYsX45133qn37/nuu+/iww8/5Dx24MABzJo1C2+88UbEcxNL/NeM1q1bc372FxlDhw4NO06pVIpu3brFZGx2ux0zZsygORRA3YXuP//5D86dO4fp06fjjjvu4Aj74uJiPP/886ipqQnwOC5YsABbtmwJeB/fv+WXX36J+fPno2fPnvR5m82GadOm4cSJE5zfM5vNMJvN+OOPP6hIf/rppwHUbY3ed999+O233zi/4/F4YLPZUFpaip07d+L06dOcxKFI8RW4AJCTk8OxQxABX1VVBQDwer3Ys2cPrr32WgDg7DgCoDf1hN69e0OpVFJLzsGDB2E2mzliqaGsW7cOGzZsQG1tLTQaDQoKCnD99dfXu9YS7r77bpw7dw4ikQitWrXCoEGDMG3atKBbzv7z7+/NHjRoEBXJQN28NFQk+7N8+XJ8+umnNEAB1J2fL7zwAmpqavDggw+G/f1///vfWLJkCf3Z4XBg8eLF2Lt3LxYsWIB7772XYxcoLS3F3LlzUVxcjLlz5zZ43P5rwpo1azBt2rSgxwbTEPFcM3wRCoW47LLLqE5gWRb79u2j55mv+J05cyaefvppegzBZrNxbhrUanWAwHS5XFi/fj3n87z44osYN24ctS2tXbsWTz/9NITC6AudZWdnc34OFjQMxrlz5/DCCy9wHpswYULQAEIi0Cwl4PwzKLdt24ahQ4fi3nvvxZw5c7B169aQfiJS+cL/j5iZmcn5L5gvTSgUQqPRIC0tjWN4B+qixr4XuWB88cUXMBqNEIvFkEgkAZ9h69atnMc++eQTjkAG6hLBpFIpqqqq8Omnn4Z9P1/EYjF0Oh3UajVHiNvtdsyePZvj2wzGxx9/DJZlqe/bl1deeYUjkIE6f7hYLMbp06fx1VdfRTzOxuC/QB05coTjx5s/fz4+/PBDjkCWSCQcj5/L5cJTTz3FWVhuuOEGzuv6CmIAqK6uxu+//05/HjRoEFq1ahX1+CM9v0gyoH8SoEwm45zDkSYJGgwG3HfffQEC2X+RMhqNePjhh3HmzJmwr0cEcrAozxtvvMFJnmpqbDYbvvzyS040Mj8/H5dffjn9uba2NuD8vf7665ttjAcPHsT+/fshEAgC/KZffPEF7rnnHhgMBkgkkoB14/3330dtbW3I15ZIJNDpdAHfWaPRiNmzZ3O+CytWrAgQyBqNJqQHFqjb5vcXaOG8uNHifw5WVFRwzh+HwxHgQ/T9DP7RQhJdJQiFwoDvaqyy4U+dOoXi4mKUlZXh+PHjWLVqFe6//348+OCDHJ9qKHbs2IHS0lKcP38eu3fvxpw5czB+/PiAG6ALFy5wzgGFQhGw4+P/uWOZ8f/xxx+DYZig58mHH34YdKvfFyKQ/f/Whw8fxqRJk6hA9l9Ptm7dil9//bXB4+7YsSPn53/+858YNWoUZs+ejSVLluDIkSMc4e9LvNcMf/yDNsRCBFwSyQKBACNHjqSfu7S0lN6EHjhwgJPHddlllwVopK1bt3L+lldddRXatm2L/v3708cqKiqwa9euBn0G/8hxp06d6v0dl8uFv/3tb7BarfSxdu3a4d///neDxtAcNItI7tmzZ0BI3263Y9u2bXj//fdx3333YfDgwfi///s/HDp0iHPc+++/j+3btwdEkrZv3875jzzfvXt3fPzxx9i+fTuOHDmCPXv2YPfu3SgqKgrwu0RS//e+++6jr3H11VdznvP9wtvtdixcuJDz/PTp07Fnzx4UFhbi73//e8gvMGHChAlYsmQJCgsLcfjwYezatQuFhYX4/fffcffdd9PjjEZj0MiTLwKBAM888wz27t2LvXv3YsOGDejcuTMuXLjA2SIB6qwGe/fuRWFhIe699956xxkr/C0zDMOgrKwMAFBTU8OpIy2TyfC///0PBw4cwL59+/Dqq6/SmwePx4PXXnuNHjtgwABOEuCPP/7IERc//fQT58LtL6rD0ZDziyQD+tfFnjBhAucc9rX6hGPevHmcrOb27dvj+++/x759+7Bp0ybONrnVasW7774b9vXS0tKwYMEC7Nu3DytXruR4HysqKji2h6agtLSU2q369euHl156iT43YMAAfPzxx5wbxbKysoBztLlLCQ4dOhS//fYb9u7dy1kXWJbFxYsXcdNNN2H37t3YuXMnZ2xOpzNApN5xxx34+uuvUVRUhEOHDmHXrl3Yu3cvdu7cieuuu44ed/LkSU6E7vjx4/TfmZmZWL9+Pfbs2YMDBw5gx44dmD9/Pu644w7qtfT/HYlEgm+++YZWjNi1axe++OIL/OUvf0H79u0bNC+dOnXiCG6j0YiPPvoIXq8Xbrcbb775ZkCStu+FvKamhvOcVqsNeA//x/x/J9Zs3ryZY82KBrPZjMcee4xzI+A/3mBRcP/H/O1GjUEqleJ///sfioqKsHHjRo59z+l01iua2rRpgzVr1mDfvn146qmnOM+VlZWhZ8+e2Lp1K4qKigJKj/3yyy8NHvfNN98cEAwj17N///vfuPHGGzFs2DC89dZbnGALGVdTrBm+tex9/wtmEfUllC/ZZDLRoEanTp2QlpbGCRCQaHIkVovVq1dzfh47dizn/6GOqw+z2YzVq1djw4YN9DGdTkd3c8Px+uuv4/Dhw/RniUSCt99+O6SrIBFotmYi77zzTkCZE1/cbjc2bdqEW2+9tVHJe+3bt0evXr3w7bff4v7778f48eMxfPhwjBo1ipMQAiDgztKf7t2748knn4RCoYBSqcS9997Lef6PP/6g/y4sLOR8MXNycvD3v/8dSqUSUqkUd955Z8hyR4QBAwZAo9Hggw8+wB133IExY8Zg6NChGD9+fICgD1XehjB+/HjcfffddNupXbt2yMzMxK+//spZLPr06YP7778fUqkUcrkcTz31VIMvkNHiHy0DQHcUfvnlF060/M4778SECRMgFAohFApx00034aqrrqLPFxUV4cKFCwDqbhB8o9Tl5eUoLCykP/tGlpVKZcCiEY5Ynl8N5ccff+T8/Nxzz6GgoABA3QXMfxybN28OqCriy8MPP4wrr7wSAoEA3bt3D/BP+57nAHDTTTehuLiY/teU5RjPnDkTcMEJtusU7FxqKgQCAf71r39Bp9NBLBYHXBxUKhX+8Y9/QKlUQqPRcIQuEDifw4YNg9frxRtvvIFp06bhmmuuwdChQzFx4sQAUeH7vfcVowKBgPO9zsjIwFVXXYV//OMfmDlzZtDfEQqFnJtHnU6HAQMG4KmnnsITTzwRxYxcQiqV4rbbbuM8NmfOHPTt2xf9+vULWuvV99z0zZoHEHSH0H/Xpr5dtXDk5OTgwQcfxJdffok9e/Zg7969+PLLLznCBABWrVoV4GcVCoUYNWoUXnvtNfz88884ePAgNm/ejNmzZ3OiqA6HAx988AH92T8q7f95AATsQEQSyY6U2267DRMmTIBIJEJeXl5AkMD//PTn0UcfpVUIiF/cl+eeew45OTkQCoUB9rn6XjscBQUF+M9//hPWjkl2bG+66SZOgl681wx/LrvsMs65ffDgQXi9Xuzbt49+J4nw9RXURBzXl7RnsVg4gTSxWExv5q+55hpO0GH9+vVhrw+EO++8E/n5+RgwYACefPJJerOr1+vxySef1Ct0f/7554Dv/5NPPhm1J7q5abYScHl5eVi5ciVWrlyJ1atXo6ioKMBjBNRFBf/5z39ixIgRDfKZ7dy5Ew8//DAnnB8K/20/f/wjx/5bYr6Ls395uyuuuCJg8Rs8eHBAFMmXuXPn4u23344oklvf2P3rTIcap79fVSAQYODAgZw6jk2F/90+cCmC4r+9OHfu3Hr9bIcOHUJubi6Auuiwr8/2xx9/xIABA1BVVYU9e/bQx8eMGRPVVnMsz6+GYLVaA2wW/n/Dbt26ITMzk/o+HQ4Hzp07FzIpwv88z8jI4Pwcywt0MHxLwLndbk5ksbq6Gs888wwyMjIwbNgwAAi6GEfy94gV7dq142yH+68Lffr04ZxT9c3nv/71r6C5CMHwPadGjRqFzz//HABQWVmJ8ePHQ6fToXPnzujcuTP69euH0aNHc2w8w4cPh1gshsfjgdPpxC233AK1Wo1OnTqhc+fOuOyyyzB69OgAv2E0/PWvf0VxcTHHeuZ7ESbvT/Bd5/236IOVBvV/rDFWkS+//DIgqbd///6YN28err/+enrjzbIstm7dyilRNXny5ACBmZubi3vvvRcSiYRTBo8EJ4RCYYBNIdh10P+xSP2ekdDY77vveuN/7kskEs52vr8fuzE3NEBdbfkrrrgCX3zxBTZu3BjyOnX+/Hm8+eabdIexqdaMUCXOTCZT0L8rgXiIyS6dzWbDsWPHOLYLInx9b9iKiorAsizHKioQCAKSbDds2MC54Rw4cCDdIWzdujV69epFG9yYzWZs2bIlqmARITMzE/PmzUP37t3DHnfhwgU899xznMdGjRrFuYFPVJq1LbVUKsXUqVOxePFi7NmzB1988QVmzZoVUCfTYrHUu10RDOJPjfTkr682s7/3zf/u3hf/9wxW1DvYY4Rjx47hrbfeitjqUN/Y/T1thMaOM5b4C2Ffv2EwAV0fvtuY7du359xd//jjj2AYBj/99BNnjm+88caIXz/W51dD8I+IqFSqoN5C/4tXuPms7zwPlvwZS4gdZfv27di9ezd+/fVXzi4By7L47LPPOMf7++98bQRNjb+o8L8Z9n/ef6y+87lp06aIBTLAPacGDRqE5557LsDeUFhYiGXLluHZZ5/FiBEjOBVU2rdvjzfeeINjqbFYLDhw4AC+++47vPjiixg1ahQ++eSTiMfkj1Qqxdy5c/Hyyy+jf//+UKvVkEgk6NSpEx555BH85S9/4Rzva6XzX3uC+bf9PbONWa/8BTJBpVLRmzKCvwcz1O8CdTt5vlgsFnqD4z/eYN9N/88dy2ZLjf2++57f/r+r1+s58xJujhpKXl4enn76aaxfvx6//vor3nvvPdx0000BEWbfEntNtWb42z7Jf8HKsfkTzHLhm5xHnu/UqRM9Zw4fPoxjx45xbpa7dOkSYEHy3433r1Lk/3Mku/dpaWkBZQirqqowffp0zrj98Xg8ePzxxznf21atWgXUQk9UmlUk+yKXyzFgwAA88sgjWLt2bYApn0TBoqGoqIizxZKdnY0FCxagqKgIxcXFIVuDhsL/4hfuC++/dRPMJxfOO7dhwwbO4jRw4ECsXr0aBw8eRHFxMebNmxfpsAGEjq40dpyxxN8b3aNHDxpV8t9F0Gq1Acma/v/5/718LReVlZXYs2cPx2pBMtAjJdbnV0Pwj4hYrdagBe/9PYzhdmX8L3RNcWGLhuzsbPz1r3/lPOZrXdFqtQGRi2h9dY0h2Pa4L+Fupv3xzT4H6sTV+vXrcfjwYRQXF3P82cG466678Ouvv+Ldd9/F/fffj3HjxnESpe12O1544QXOejphwgRs3boVn3zyCR566CFcd911nCx+j8eDt99+u15LVziEQiFuueUWfPnllygsLMShQ4ewbt06zJo1KyDvxDcK5u8T9RemDMME1H1tKj+6/985mlyNYOcIWd9zc3M5osbhcARc7/x3i2L5GaO5rkXy+75Ec+7HguzsbIwbNw6vvvpqwDXSZDLRHYx4rxnB8BfJJJ8AqBOkvvZUYr1wu90BlgV/P3J1dXVAlZiXXnqJ45n2r2W+ZcuWepuxzJkzB7t27cLWrVs57dJtNhsef/zxAKsU4Z133uHYQ0QiEd56661mC8Y1lmYRyX/88UdA1QdfpFJpgEj2FwP+X+RgGfe+yUwAcN111+HKK6+kgtHXlxpr/P3Wv//+e0AkMZzVwn/sd999N7p160bvjn23YWI5Tv8xsSzboCh+tGzZsoXTdQgAx7/mf1G4/fbbQ961b9++Hb/++iumTJnC+Z3rrruOs2gvWrSIcw5MmjQpqtI3jT2//N+rIVUjVCpVwC6B/4J4/PhxzkVXLpc3m888VvhHs/y3gP3/1tu2bcOaNWtCvp7L5WrWaHOk+J9TDz30ENq3b0+FSCTfe7VajfHjx+OJJ57Ae++9h59++gkPPPAAfZ60c/ZFJpNh5MiReOyxx/D2229j9erV+Ne//sU5pinWgf3793OabrRr147TIMHfOuSfRLZ//37OudCrV68Gl3/bv39/yICAy+UKaA7i/70Llzzt/5xSqeSIAv/8FP/P6f9zc5TlTHQ2b95ME7uDQfIyCFKplBNdTrQ1w9/3vnHjRmpHueyyyziax/dYf3HvL5LXrFkT9bXF6XTip59+iujYnJwcvPvuuxwbV2lpKRYtWhRw7LZt2wJuXmbNmhW0T0Wi0iwiuby8HPfeey8mT56MBQsW4Pjx4/Su3O12Y9WqVQEiukePHpyf/RfCYAu4/zHbt2+nkb9Dhw4F1OaLJf379+e8f3l5OV555RXYbDa43W4sWrQorEj2vylYt24dnE4nGIbBunXrONvNjWH48OGchIH9+/fj008/hcvlgsPhwBtvvNGkfuTTp0/j9ddfpx24CAUFBRzrw4gRIzjR8M8++wxff/01x9NmMpmwY8cOvPLKK0GL4KelpWHUqFH05w0bNnDeM5qqFkDjzy//3z9y5EiDfHHjxo3j/Pzqq69Sb1tpaWlAl6ORI0fGtJPhihUrOFEJ/6odjaWioiKgIoe/yL/lllsCbvhmz56NOXPmcITnxYsXsWTJEkyYMCHii0Bz4v+9X716Na0EsWTJEqxatSrk737zzTd44YUXsHXrVo7YM5vNAbkHxB+5detWPPnkk9iwYQNnV4S0vQ32O9Fy7tw5/OMf/0BhYSEVtE6nE2vWrMEDDzzAuQG67777ODePw4YN4/iht2/fTufAYDBwqtgAaFRt1a1bt2LMmDF4/fXXcfToUTquP/74A3/96185jSRIOS5fHnjgAUyfPh1r1qyh9gin04lVq1bhlVde4Rw7YsQIzuf0r5n/3nvv0aj5zp07ORYZpVIZUeWAZOfnn3/GmDFj8Oijj+LHH3/kBAKqqqoC5ty3pjiQeGtG27ZtOQ2CfH37/sLXVyT7J9n5R6T9rRM6nS7ozqu/dSKaggnp6ekBhQzmz5/PuT5XVlYGlK0cPHhwvXW4E41mS9wD6ny3xIciEolo1xn/u55BgwYFRJbz8/M5W64zZ86kvcR79uyJTz/9FP379+cUmj9+/DiGDx8OhUIBq9XaqG4/9aFQKHDXXXdxynh98cUXWLp0KUQiUb3Zo8OGDcP8+fPpz6tWrcK6desgEongcDhiNvbWrVtj0qRJnEX4rbfewnvvvQeWZZvER3vzzTdDKBTCYrEEtQbk5ubigw8+4Ag5vV6PWbNm4fXXXwdQtzC88MILeOGFF5CWlga32835QobyYE+ePDlgSxuoi0CFq7YSjMaeXx06dIBUKqXnwsmTJzFw4ECkpaVBIBDgqaeeiki433fffVi9ejUVOWfPnsXkyZM5YyMolUo89thjUX3O5qasrIx6kP0T9wj+iahSqRQfffQRbrvtNlRXVwOoswm8//77eP/996HRaOD1ehudKNTUDBs2jHMhnjt3LhYtWgSGYeB2uyGXy0NuY1osFnz99df4+uuvAYBW0qmtreXcDAqFQppB7nK5sHr1ahqNksvlkMvlsFgsAd/9hnTcA+qE4rJly7Bs2TIAdTerVqs14PVHjRoVUP1AIpHgueeeo3YblmXx1FNP4cUXX4TD4eBcK3r27NnoBgRmsxmfffYZPvvsM1rXOtg5c+ONNwZNfC0sLKQ7SFqtFhaLJcCWoVAoAirAjBgxAiNHjqQR57Nnz2LMmDFQqVQBHuXHHnusxWxNNzVutxs//fQT/c4oFAqIxeKgvm7/RiOJuGb07duXU0qN4B9l7t27NyQSScCNq06n49QnPn/+PCepTyaTYePGjUETF2tqajB06FD6vdy1axen+2V93H777Zg/fz71R9fU1ODLL7+kOQd///vf6TwTDh8+HOD192fOnDkBnz+eNEskOZhPyev1wmg0Bgjkjh074o033gg4ftq0aQHb1SaTCVVVVfSPpNFo8Pjjj3OOYRgGVqsVQqGQk23cFDzwwAOchCOg7nO6XC5oNBpOS0l/hgwZEhAhdLvdcDgc0Ol0eOaZZ2I2Tt+SYb7v5fF40Lp164Dalo2lpqYG1dXVQQXyyJEj8e2333LqGhPuvfdePPTQQ0H/7v4LWahyPiNGjAh6gYk2igw0/vySy+UBW34ejwfV1dWoqqqKuIpEeno65s2bF3Bj4D8nOp0OH374YURF3uMJwzCoqqpCVVVVUIE8ZswY3HXXXQGPt2/fHitWrAjqKzebzQHzEa7JRryYPHlyQNTI6XTC7XajTZs2UbWJt9lsMBqNASLt4YcfDkiOJpDmHv4C9qabbuL4DhuDyWQKeP3rr78+ZEe/a6+9NqALmNVq5Vwrunbtio8//jhoibhI8f9d/xtvwoQJE4J6w/1/3//mBKi72f/www+D3pC/9dZbnG1nhmECxN7dd9/dIioANAfBvNB2uz2oQL7jjjuCrvGJtmYES/ATiUQBZdFkMlnA7joQaMvwt2IMGzYsZGk2vV7P+Y57vd6w9hN/1Gp1wLk5f/58elPvXzIRqJtjstaH+q+hO1hNRbNEki+77DJs2rQJv/zyC4qKinDy5ElcuHCBbjXrdDrk5+dj9OjRmDJlStATs1+/fpg7dy4+/fRTHDlyBBaLJWgW7owZM5CVlYV58+bh+PHjkMlk6N27Nx544AEMGjSowfU/I0EqleKTTz7B559/jhUrVqCkpARpaWkYMmQIHnvssXo9fm+//Tbmzp2L7777DhcuXOD8rn8iR2PQarX48ssv8fHHH2PNmjWoqKhARkYGRo0ahUcffTSqbPtIEYvFtCVtbm4uevXqhUmTJgWIdX8ee+wxXHvttVi6dCl+//13lJaWwuFwQKVSoW3btujVqxeGDx+O4cOHB/19iUSC6667jtNGlTzWEBp7fv39739HZmYm1qxZg5KSkojqUwajoKAAq1evxvLly7Fx40YcP34cFosFCoUCHTt2xIgRIzB9+vSYZsU3FwqFAllZWejRowcmTpyIa665JuSxrVq1wqJFi/D7779jzZo1KCwsREVFBcxmM+RyOdq0aYN+/fph3LhxGDJkSDN+isiQSqX4/PPPMWfOHKxbtw5VVVX0u/jYY49xMvT9mThxIjQaDXbv3o2jR4/CYDDAaDRCKBQiOzsbl112GW6++WaOn3Xw4MF46623sHv3bhw8eBBVVVWoqamBQCBARkYGevbsicmTJzeoHBQhNzcXTz75JHbu3IkzZ85QK0hmZiYGDBgQkQC/5557MGjQICxatAi7d+9GZWUlFAoFOnfujPHjx2P69OmNthA9+OCD6Nu3LzZv3oz9+/fj/PnzMJvNEIvFyMrKwmWXXYYpU6aEPG+2bNmCn376Cb/99huOHz+OyspKGhDp1KkTRowYgalTp4b8DqrVaixevBgrVqzAqlWrUFxcDKvVCr1ej8svvxzTp0+PKrE42fnnP/+JiRMnYufOnThw4ADOnTuHyspKutOak5ND/2bhzq9EWjOCRUy7du0aVNhefvnlAV2Cg/mRffGvsuLP+PHjsWPHDvrzDz/8ENVN2YwZM7BgwQIaqKyursbSpUuT6sZOwDZ1fSceHh4eHh4eHh6eFkbcSsDx8PDw8PDw8PDwJCrNmrjHw8PDE0/cbjfOnz8f8fHRJncmGwaDIeK66RqNplGd+hqD2WwOKKcXCoVCQTtztjQuXLgQce5CdnZ2g8vjNTUt5bzi4eFFMg8PT8pQXl4eVTkt/66QqcYXX3zBqdgTjhtvvBH//e9/m3hEwdmwYQOeffbZiI4dOHBgQEOGlsLTTz8dcf3qV199NeZJ2LGipZxXPDy83YKHh4eHh4eHh4fHDz5xj4eHh4eHh4eHh8cPPpLMw8PDw8PDw8PD4wcvknl4eHh4eHh4eHj84EUyDw8PDw8PDw8Pjx+8SObh4eHh4eHh4eHxgxfJPDw8PDw8PDw8PH7wIpmHh4eHh4eHh4fHD14k8/Dw8PDw8PDw8PjBi2QeHh4eHh4eHh4eP3iRzMPDw8PDw8PDw+PH/wNQgXuomD1eeAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#And this generates all the plots.\n",
+    "an.plotting()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "05cfe0e2-b9d4-4000-b5cd-8813b5a112b9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Calculate stats\n",
+    "an.stats()  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "baa0cc0f-1a1f-4533-b454-4f7ef9758582",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/yaml/control_wrfchem_aircraft_sumpmspecies.yaml b/examples/yaml/control_wrfchem_aircraft_sumpmspecies.yaml
new file mode 100644
index 00000000..7466b57c
--- /dev/null
+++ b/examples/yaml/control_wrfchem_aircraft_sumpmspecies.yaml
@@ -0,0 +1,273 @@
+# General Description:  
+# Any key that is specific for a plot type will begin with ts for timeseries, ty for taylor
+# Opt: Specifying the variable or variable group is optional
+# For now all plots except time series average over the analysis window. 
+# Seting axis values - If set_axis = True in data_proc section of each plot_grp the yaxis for the plot will be set based on the values specified in the obs section for each variable. If set_axis is set to False, then defaults will be used. 'vmin_plot' and 'vmax_plot' are needed for 'timeseries', 'spatial_overlay', and 'boxplot'. 'vdiff_plot' is needed for 'spatial_bias' plots and'ty_scale' is needed for 'taylor' plots. 'nlevels' or the number of levels used in the contour plot can also optionally be provided for spatial_overlay plot. If set_axis = True and the proper limits are not provided in the obs section, a warning will print, and the plot will be created using the default limits.
+analysis:
+  start_time: '2019-09-05-12:00:00' #UTC
+  end_time: '2019-09-06-00:00:00' #UTC
+  output_dir: /wrk/charkins/melodies_monet/aircraft/develop_sumvars/output #/wrk/charkins/melodies_monet/NOAA_CSL_main/test_pull_189_aircraft/output #/wrk/charkins/melodies_monet/aircraft/analysis #Opt if not specified plots stored in code directory.
+  debug: True
+model:
+  wrfchem_v4.2: # model label
+    # files: /wrk/d2/rschwantes/wrf/firex_mech/qzhu/run_CONUS_fv19_BEIS_1.0xISO_RACM_v4.2.2_racm_berk_vcp_noI_phot_soa/0905/*
+    files: /wrk/users/charkins/melodies-monet_data/wrfchem/run_CONUS_fv19_BEIS_1.0xISO_RACM_v4.2.2_racm_berk_vcp_noI_phot_soa/0905/* #/scratch2/BMC/rcm1/qzhu/wrfchem/runs_firex/run_CONUS_fv19_BEIS_1.0xISO_RACM_v4.2.2_racm_vcp_noI_phot/Output/0905/* #/wrk/d2/rschwantes/wrf/firex_mech/qzhu/run_CONUS_fv19_BEIS_1.0xISO_RACM_v4.2.2_racm_berk_vcp_noI_phot_soa/0905/*
+    mod_type: 'wrfchem'
+    mod_kwargs: 
+      mech: 'racm_esrl_vcp'
+    radius_of_influence: 12000 #meters
+    mapping: #model species name : obs species name
+      firexaq:
+        oa_tot: OA_PM1_AMS_JIMENEZ
+        SO4A: Sulfate_PM1_AMS_JIMENEZ
+        NH4A: Ammonium_PM1_AMS_JIMENEZ
+        NO3A: Nitrate_PM1_AMS_JIMENEZ
+        EC: BC_mass_90_550_nm_SCHWARZ
+    variables:
+        'pres_pa_mid':
+            rename: pressure_model # name to convert this variable to, use 'pressure_model' for aircraft obs
+            unit_scale: 1 #Opt Scaling factor 
+            unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+        'temperature_k':
+            rename: temp_model # name to convert this variable to
+            unit_scale: 1 #Opt Scaling factor 
+            unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+    variable_summing:
+      oa_tot:
+        vars: ['orgpai','orgpaj','asoa1i','asoa1j','asoa2i','asoa2j','asoa3i','asoa3j','asoa4i','asoa4j','bsoa1i','bsoa1j','bsoa2i','bsoa2j','bsoa3i','bsoa3j','bsoa4i','bsoa4j'] # Variables from the dataset that should be summed to create a new variable 
+        ylabel_plot: 'Organic Aerosol Total' #Optional to set ylabel so can include units and/or instr etc.
+      SO4A:
+        vars: ['so4aj','so4ai'] # Variables from the dataset that should be summed to create a new variable 
+        ylabel_plot: 'SO4A' #Optional to set ylabel so can include units and/or instr etc.
+      NH4A:
+        vars: ['nh4aj','nh4ai'] # Variables from the dataset that should be summed to create a new variable 
+        ylabel_plot: 'NH4A' #Optional to set ylabel so can include units and/or instr etc.
+      NO3A:
+        vars: ['no3aj','no3ai'] # Variables from the dataset that should be summed to create a new variable 
+        ylabel_plot: 'NO3A' #Optional to set ylabel so can include units and/or instr etc.
+      EC:
+        vars: ['ecj','eci'] # Variables from the dataset that should be summed to create a new variable 
+        ylabel_plot: 'EC' #Optional to set ylabel so can include units and/or instr etc.
+    projection: None
+    plot_kwargs: #Opt
+      color: 'dodgerblue'
+      marker: '^'
+      linestyle: ':' 
+
+obs:
+  firexaq: # obs label
+    filename: '/wrk/d2/rschwantes/obs/firex-aq/R1/10s_merge/firexaq-mrg10-dc8_merge_20190905_R1.ict' #'/scratch2/BMC/rcm1/rhs/obs/firex_20201209/R1/10s_merge/firexaq-mrg10-dc8_merge_20190905_R1.ict'
+    obs_type: aircraft
+    resample: '600S' #10 min so works on Hera as a test. Can comment this if submitting a job. 
+    variables: #Opt 
+      'OA_PM1_AMS_JIMENEZ':
+        unit_scale: 1 #Opt Scaling factor 
+        unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+        nan_value: -777777 # Opt Set this value to NaN
+        LLOD_value: -888888 # Opt Set this value to LLOD_setvalue
+        LLOD_setvalue: 0.0 # Opt Set LLOD_value=LLOD_setvalue, applied AFTER unit_scale and obs_unit
+        ylabel_plot: 'OA_PM1_AMS_JIMENEZ'
+      'Sulfate_PM1_AMS_JIMENEZ':
+        unit_scale: 1 #Opt Scaling factor 
+        unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+        nan_value: -777777 # Opt Set this value to NaN
+        LLOD_value: -888888 # Opt Set this value to LLOD_setvalue
+        LLOD_setvalue: 0.0 # Opt Set LLOD_value=LLOD_setvalue, applied AFTER unit_scale and obs_unit
+        ylabel_plot: 'Sulfate_PM1_AMS_JIMENEZ'
+      'Ammonium_PM1_AMS_JIMENEZ':
+        unit_scale: 1 #Opt Scaling factor 
+        unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+        nan_value: -777777 # Opt Set this value to NaN
+        LLOD_value: -888888 # Opt Set this value to LLOD_setvalue
+        LLOD_setvalue: 0.0 # Opt Set LLOD_value=LLOD_setvalue, applied AFTER unit_scale and obs_unit
+        ylabel_plot: 'Ammonium_PM1_AMS_JIMENEZ'
+      'Nitrate_PM1_AMS_JIMENEZ':
+        unit_scale: 1 #Opt Scaling factor 
+        unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+        nan_value: -777777 # Opt Set this value to NaN
+        LLOD_value: -888888 # Opt Set this value to LLOD_setvalue
+        LLOD_setvalue: 0.0 # Opt Set LLOD_value=LLOD_setvalue, applied AFTER unit_scale and obs_unit
+        ylabel_plot: 'Nitrate_PM1_AMS_JIMENEZ'
+      'BC_mass_90_550_nm_SCHWARZ':
+        unit_scale: 1 #Opt Scaling factor 
+        unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+        nan_value: -777777 # Opt Set this value to NaN
+        LLOD_value: -888888 # Opt Set this value to LLOD_setvalue
+        LLOD_setvalue: 0.0 # Opt Set LLOD_value=LLOD_setvalue, applied AFTER unit_scale and obs_unit
+        ylabel_plot: 'BC_mass_90_550_nm_SCHWARZ'
+      'Latitude_YANG':
+            rename: latitude # name to convert this variable to
+            unit_scale: 1 #Opt Scaling factor 
+            unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+      'Longitude_YANG':
+            rename: longitude # name to convert this variable to
+            unit_scale: 1 #Opt Scaling factor 
+            unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+      'P_BUI':
+            rename: pressure_obs # name to convert this variable to
+            unit_scale: 100 #Opt Scaling factor 
+            unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+      'T_BUI':
+            rename: temp_obs # name to convert this variable to
+            unit_scale: 1 #Opt Scaling factor 
+            unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+      'MSL_GPS_Altitude_YANG':
+          rename: altitude # name to convert this variable to
+          unit_scale: 1 #Opt Scaling factor 
+          unit_scale_method: '*' #Opt Multiply = '*' , Add = '+', subtract = '-', divide = '/'
+   
+plots:
+  plot_grp1:
+    type: 'timeseries' # plot type
+    fig_kwargs: #Opt to define figure options
+      figsize: [12,6] # figure size if multiple plots
+    default_plot_kwargs: # Opt to define defaults for all plots. Model kwargs overwrite these.
+      linewidth: 2.0
+      markersize: 10.
+    text_kwargs: #Opt
+      fontsize: 18.
+    domain_type: ['all'] #List of domain types: 'all' or any domain in obs file. (e.g., airnow: epa_region, state_name, siteid, etc.) 
+    domain_name: ['CONUS'] #List of domain names. If domain_type = all domain_name is used in plot title.
+    data: ['firexaq_wrfchem_v4.2'] # make this a list of pairs in obs_model where the obs is the obs label and model is the model_label
+    data_proc:
+      #See 'altitde_yax2' list below for secondary y-axis options
+      #altitude_variable: altitude  
+      #altitude_ticks: 1000  # Altitude tick interval in meters (for secondary y-axis for altitude (m))
+      rem_obs_nan: True # True: Remove all points where model or obs variable is NaN. False: Remove only points where model variable is NaN.
+      ts_select_time: 'time' #Time used for avg and plotting: Options: 'time' for UTC or 'time_local'
+      ts_avg_window: #'H' # pandas resample rule (e.g., 'H', 'D'). No averaging is done if ts_avg_window is null or not specified.
+      set_axis: False #If select True, add vmin_plot and vmax_plot for each variable in obs.
+      #vmin2, vmax2 filter not needed as filter_dict option added in 'altitude_yax2' to subset the paireddf as per altitude secondary-axis limits
+      #vmin2: #0  #Optional
+      #vmax2: #5000 #12000 #Optional #Subset limits for secondary y-axis (altitude_variable) 
+      altitude_yax2:
+        altitude_variable: altitude
+        altitude_ticks: 1000
+        ylabel2: Altitude (m)
+        plot_kwargs_y2:
+          color: g
+        altitude_unit: m
+        altitude_scaling_factor: 1
+        #filter_dict: #Default is min and max if filter_dict doesn't define the options below (or if they are commented out)
+        #  altitude:
+        #    oper: "between"
+        #    value: [2000,8000] # values are [vmin_y2, vmax_y2] 
+  plot_grp2:
+    type: 'vertprofile'  # plot type
+    fig_kwargs:  # Opt to define figure options
+      figsize: [10, 14]  # figure size
+    default_plot_kwargs:  # Opt to define defaults for all plots. Model kwargs overwrite these.
+      linewidth: 4.0
+      markersize: 10.
+    text_kwargs:  # Opt
+      fontsize: 18.
+    domain_type: ['all']  # List of domain types: 'all' or any domain in obs file. (e.g., airnow: epa_region, state_name, siteid, etc.)
+    domain_name: ['CONUS']  # List of domain names. If domain_type = all, domain_name is used in plot title.
+    data: ['firexaq_wrfchem_v4.2']  # make this a list of pairs in obs_model where the obs is the obs label and model is the model_label
+    data_proc:
+      rem_obs_nan: True  # True: Remove all points where model or obs variable is NaN. False: Remove only points where model variable is NaN.
+      set_axis: False  # If set to True, add vmin_plot and vmax_plot for each variable in obs.
+      interquartile_style: 'shading' # or 'box'
+    #TO DO: altitude_variable: 'Static_Pressure_YANG' or 'pressure_obs' (=P_BUI(hPa)*100) (pressure in Pa)  # ISSUE created: Add capability of the altitude variable to take pressure as an option to MSL height
+    altitude_variable: altitude #'MSL_GPS_Altitude_YANG' #'ALTITUDE' in m or desired unit
+    #vertprofile_bins: [0, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000]   # Specify the Pressure altitude bin size in hPa    
+    vertprofile_bins: [0, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 11000, 12000] # meters
+    #vertprofile_bins: [0, 1000, 2000, 3000, 4000, 5000] # meters # Needs to be specified as per min and max altitude (vmin, vmax)
+    vmin: #0  #Optional
+    vmax: #5000 # Optional #'vertprofile bins' need to be edited as per min and max altitude (i.e., vmin and vmax, if specified)
+
+  plot_grp3:
+    type: 'violin'
+    fig_kwargs:
+      figsize: [10, 8]
+    text_kwargs:
+      fontsize: 25.
+    domain_type: ['all']
+    domain_name: ['CONUS']
+    data: ['firexaq_wrfchem_v4.2']
+    data_proc:
+      rem_obs_nan: True 
+      set_axis: False
+
+    
+  plot_grp4:
+    type: 'scatter_density'
+    fig_kwargs:
+      figsize: [10, 10]
+    default_plot_kwargs:
+      linewidth: 4.0
+      markersize: 10.
+    text_kwargs:
+      fontsize: 18.
+    domain_type: ['all']
+    domain_name: ['CONUS']
+    data: ['firexaq_wrfchem_v4.2']
+    data_proc:
+      rem_obs_nan: True
+      set_axis: False #True
+      vmin_x: #0
+      vmax_x: #100
+      vmin_y: #0
+      vmax_y: #100
+    color_map: #'RdBu_r' # Default Colormap for the density plot can be used. Options include:
+                        # 'viridis', 'plasma', 'inferno', 'magma', 'cividis',
+                        # 'jet', 'hot', 'cool', 'spring', 'summer', 'autumn', 'winter',
+                        # 'RdBu_r', 'seismic', 'coolwarm',
+                        # 'Blues', 'BuGn', 'YlOrRd', 'Greys'
+        #To use a custom colormap: Use the following options otherwise use the above default color_map(s) AND COMMENT THESE
+        colors: ['royalblue', 'cyan', 'yellow', 'orange']
+        over: 'red'
+        under: 'blue'
+    xlabel: 'Model'
+    ylabel: 'Observation'
+    title: 'Scatter Density Plot'
+    fill: True #True #False              # Set to True if you want to fill the area under the density curve (for kde plot), False for sactterplot
+    shade_lowest: True #False      # Set to True if you want to shade the lowest contour (if fill=TRUE for KDE plots)
+    # Add other seaborn.kdeplot keyword arguments here as needed
+    vcenter: #0  # Central value for TwoSlopeNorm
+    extensions: ['min', 'max']  # Extensions for the colorbar  
+  plot_grp5:
+    type: 'taylor' # plot type
+    fig_kwargs: #Opt to define figure options
+      figsize: [8,8] # figure size if multiple plots
+    default_plot_kwargs: # Opt to define defaults for all plots. Model kwargs overwrite these.
+      linewidth: 2.0
+      markersize: 10.
+    text_kwargs: #Opt
+      fontsize: 16.
+    domain_type: ['all'] #List of domain types: 'all' or any domain in obs file. (e.g., airnow: epa_region, state_name, siteid, etc.) 
+    domain_name: ['CONUS'] #List of domain names. If domain_type = all domain_name is used in plot title.
+    data: ['firexaq_wrfchem_v4.2'] # make this a list of pairs in obs_model where the obs is the obs label and model is the model_label
+    data_proc:
+      rem_obs_nan: True # True: Remove all points where model or obs variable is NaN. False: Remove only points where model variable is NaN.
+      set_axis: True #If select True, add ty_scale for each variable in obs.
+  plot_grp6:
+    type: 'boxplot' # plot type
+    fig_kwargs: #Opt to define figure options
+      figsize: [8, 6] # figure size 
+    text_kwargs: #Opt
+      fontsize: 20.
+    domain_type: ['all'] #List of domain types: 'all' or any domain in obs file. (e.g., airnow: epa_region, state_name, siteid, etc.) 
+    domain_name: ['CONUS'] #List of domain names. If domain_type = all domain_name is used in plot title.
+    data: ['firexaq_wrfchem_v4.2'] # make this a list of pairs in obs_model where the obs is the obs label and model is the model_label
+    data_proc:
+      rem_obs_nan: True # True: Remove all points where model or obs variable is NaN. False: Remove only points where model variable is NaN.
+      set_axis: False #If select True, add vmin_plot and vmax_plot for each variable in obs.
+stats:
+  #Stats require positive numbers, so if you want to calculate temperature use Kelvin!
+  #Wind direction has special calculations for AirNow if obs name is 'WD'
+  stat_list: ['MB', 'MdnB','R2', 'RMSE'] #List stats to calculate. Dictionary of definitions included in plots/proc_stats.py Only stats listed below are currently working.
+  #Full calc list ['STDO', 'STDP', 'MdnNB','MdnNE','NMdnGE', 'NO','NOP','NP','MO','MP', 'MdnO', 'MdnP', 'RM', 'RMdn', 'MB', 'MdnB', 'NMB', 'NMdnB', 'FB', 'ME','MdnE','NME', 'NMdnE', 'FE', 'R2', 'RMSE','d1','E1', 'IOA', 'AC']
+  round_output: 2 #Opt, defaults to rounding to 3rd decimal place.
+  output_table: False #Always outputs a .txt file. Optional to also output as a table.
+  output_table_kwargs: #Opt 
+    figsize: [7, 3] # figure size 
+    fontsize: 12.
+    xscale: 1.4
+    yscale: 1.4
+    edges: 'horizontal'
+  domain_type: ['all'] #List of domain types: 'all' or any domain in obs file. (e.g., airnow: epa_region, state_name, siteid, etc.) 
+  domain_name: ['CONUS'] #List of domain names. If domain_type = all domain_name is used in plot title.
+  data: ['firexaq_wrfchem_v4.2'] # make this a list of pairs in obs_model where the obs is the obs label and model is the model_label
+
+
diff --git a/melodies_monet/driver.py b/melodies_monet/driver.py
index b39c10ef..4236a683 100644
--- a/melodies_monet/driver.py
+++ b/melodies_monet/driver.py
@@ -120,6 +120,7 @@ def __init__(self):
         self.sat_type = None
         self.data_proc = None
         self.variable_dict = None
+        self.variable_summing = None
         self.resample = None
         self.time_var = None
 
@@ -203,6 +204,7 @@ def open_obs(self, time_interval=None, control_dict=None):
         self.add_coordinates_ground() # If ground site then add coordinates based on yaml if necessary
         self.mask_and_scale()  # mask and scale values from the control values
         self.rename_vars() # rename any variables as necessary 
+        self.sum_variables() 
         self.resample_data()
         self.filter_obs()
 
@@ -368,6 +370,31 @@ def mask_and_scale(self):
                     # Then replace LLOD_value with LLOD_setvalue (after unit conversion)
                     if 'LLOD_value' in d:
                         self.obj[v].data = self.obj[v].where(self.obj[v] != d['LLOD_value'],d['LLOD_setvalue'])
+    
+    def sum_variables(self):
+        """Sum any variables noted that should be summed to create new variables.
+        This occurs after any unit scaling.
+
+        Returns
+        -------
+        None
+        """
+        
+        try:
+            if self.variable_summing is not None:
+                for var_new in self.variable_summing.keys():
+                    if var_new in self.obj.variables:
+                        print('The variable name, {}, already exists and cannot be created with variable_summing.'.format(var_new))
+                        raise ValueError
+                    var_new_info = self.variable_summing[var_new]
+                    self.variable_dict[var_new] = var_new_info
+                    for i,var in enumerate(var_new_info['vars']):
+                        if i ==0:
+                            self.obj[var_new] = self.obj[var].copy()
+                        else:
+                            self.obj[var_new] += self.obj[var]
+        except ValueError as e:
+            raise Exception("Something happened when using variable_summing:") from e
 
     def resample_data(self):
         """Resample the obs df based on the value set in the control file.
@@ -417,6 +444,7 @@ def __init__(self):
         self.obj = None
         self.mapping = None
         self.variable_dict = None
+        self.variable_summing = None
         self.plot_kwargs = None
         self.proj = None
 
@@ -499,9 +527,14 @@ def open_model_files(self, time_interval=None, control_dict=None):
         self.glob_files()
         # Calculate species to input into MONET, so works for all mechanisms in wrfchem
         # I want to expand this for the other models too when add aircraft data.
+        # First make a list of variables not in mapping but from variable_summing, if provided
+        vars_for_summing  = []
+        if self.variable_summing is not None:
+            for var in self.variable_summing.keys():
+                vars_for_summing= vars_for_summing + self.variable_summing[var]['vars']
         list_input_var = []
         for obs_map in self.mapping:
-            list_input_var = list_input_var + list(set(self.mapping[obs_map].keys()) - set(list_input_var))
+            list_input_var = list_input_var + list(set(self.mapping[obs_map].keys()).union(set(vars_for_summing)) - set(self.variable_summing.keys()) - set(list_input_var) )
         #Only certain models need this option for speeding up i/o.
 
         if time_chunking_with_gridded_data:
@@ -567,6 +600,7 @@ def open_model_files(self, time_interval=None, control_dict=None):
                     self.obj = xr.open_dataset(self.files[0],**self.mod_kwargs)
         self.mask_and_scale()
         self.rename_vars() # rename any variables as necessary 
+        self.sum_variables()
 
     def rename_vars(self):
         """Rename any variables in model with rename set.
@@ -613,6 +647,30 @@ def mask_and_scale(self):
                         print('changing units for {}'.format(v))
                         self.obj[v].values *= 1e9
                         self.obj[v].attrs['units'] = 'ppbv'        
+    def sum_variables(self):
+        """Sum any variables noted that should be summed to create new variables.
+        This occurs after any unit scaling.
+
+        Returns
+        -------
+        None
+        """
+        
+        try:
+            if self.variable_summing is not None:
+                for var_new in self.variable_summing.keys():
+                    if var_new in self.obj.variables:
+                        print('The variable name, {}, already exists and cannot be created with variable_summing.'.format(var_new))
+                        raise ValueError
+                    var_new_info = self.variable_summing[var_new]
+                    self.variable_dict[var_new] = var_new_info
+                    for i,var in enumerate(var_new_info['vars']):
+                        if i ==0:
+                            self.obj[var_new] = self.obj[var].copy()
+                        else:
+                            self.obj[var_new] += self.obj[var]
+        except ValueError as e:
+            raise Exception("Something happened when using variable_summing:") from e
 
 class analysis:
     """The analysis class.
@@ -870,6 +928,8 @@ def open_models(self, time_interval=None,load_files=True):
 
                 if 'variables' in self.control_dict['model'][mod].keys():
                     m.variable_dict = self.control_dict['model'][mod]['variables']
+                if 'variable_summing' in self.control_dict['model'][mod].keys():
+                    m.variable_summing = self.control_dict['model'][mod]['variable_summing']
                 if 'plot_kwargs' in self.control_dict['model'][mod].keys():
                     m.plot_kwargs = self.control_dict['model'][mod]['plot_kwargs']
                     
@@ -944,6 +1004,8 @@ def open_obs(self, time_interval=None, load_files=True):
                     o.debug = self.control_dict['obs'][obs]['debug']
                 if 'variables' in self.control_dict['obs'][obs].keys():
                     o.variable_dict = self.control_dict['obs'][obs]['variables']
+                if 'variable_summing' in self.control_dict['obs'][obs].keys():
+                    o.variable_summing = self.control_dict['obs'][obs]['variable_summing']
                 if 'resample' in self.control_dict['obs'][obs].keys():
                     o.resample = self.control_dict['obs'][obs]['resample']
                 if 'time_var' in self.control_dict['obs'][obs].keys():
diff --git a/melodies_monet/util/tools.py b/melodies_monet/util/tools.py
index 95cb19cc..8db4bb2a 100644
--- a/melodies_monet/util/tools.py
+++ b/melodies_monet/util/tools.py
@@ -458,3 +458,44 @@ def loop_pairing(control,file_pairs_yaml='',file_pairs={},save_types=['paired'])
         an.pair_data()
         an.save_analysis()
 
+def convert_std_to_amb_ams(ds,convert_vars=[],temp_var=None,pres_var=None):
+    
+    # Convert variables from std to amb
+    
+    # Units of temp_var must be K
+    # Units of pres_var must be Pa 
+    
+    #So I just need to convert the obs from std to amb.
+    Losch = 2.69e25 # loschmidt's number
+    #I checked the more detailed icart files
+    #273 K, 1 ATM (101325 Pa)
+    std_ams = 101325.*6.02214e23/(8.314472*273.)
+    #use pressure_obs now, which is in pa
+    Airnum = ds[pres_var]*6.02214e23/(8.314472*ds[temp_var])
+    
+    # amb to std = Losch / Airnum
+    convert_std_to_amb_ams = Airnum/std_ams
+    
+    for var in convert_vars:
+        ds[var] = ds[var]*convert_std_to_amb_ams
+
+def convert_std_to_amb_bc(ds,convert_vars=[],temp_var=None,pres_var=None):
+    
+    # Convert variables from std to amb
+    
+    # Units of temp_var must be K
+    # Units of pres_var must be Pa 
+    
+    #So I just need to convert the obs from std to amb.
+    Losch = 2.69e25 # loschmidt's number
+    #1013 mb, 273 K (101300 Pa)
+    std_bc = 101300.*6.02214e23/(8.314472*273.)
+    #use pressure_obs now, which is in pa
+    Airnum = ds[pres_var]*6.02214e23/(8.314472*ds[temp_var])
+    
+    # amb to std = Losch / Airnum
+    convert_std_to_amb_bc = Airnum/std_bc
+    
+    for var in convert_vars:
+        ds[var] = ds[var]*convert_std_to_amb_bc
+