This Python package serves as the frontend for calculating and building a Green's function library for synthetic seismograms. The backend consists of Wang Rongjiang's program for calculating synthetic seismograms, including QSEIS, SPGRN, and QSSP (Wang, 1999; Wang et al., 2017). The code includes two parallel modes: one using the multiprocessing library (single-node multi-process) and the other using MPI (multi-node).
Wang, R. (1999). A simple orthonormalization method for stable and efficient computation of Green’s functions. Bulletin of the Seismological Society of America , 89 (3), 733–741. https://doi.org/10.1785/BSSA0890030733
Wang, R., Heimann, S., Zhang, Y., Wang, H., & Dahm, T. (2017). Complete synthetic seismograms based on a spherical self-gravitating Earth model with an atmosphere–ocean–mantle–core structure. Geophysical Journal International , 210 (3), 1739–1764.
- Install the requirments. (Debian 12, Python 3.11)
sudo apt install gfortran
conda install numpy scipy pandas mpi4py -c conda-forge
- Add the folder path containing this Python library to the environment.
For example, if the folder path is /home/pygrnwang and you have already created a Python 3.11 virtual environment named pygrnwang using Anaconda, add /home to the /path_anaconda/envs/pygrnwang/lib/python3.11/site-packages/custom.pth file.
- Compile the corresponding Fortran source files (in
qseis06_src,qssp2020_src, andspgrn2020_src, respectively).
cd ./qseis06_src
gfortran ./*.f -O3 -o qseis06.bin
cp qseis06.bin ../
cd ../spgrn2020_src
gfortran ./*.f -O3 -o spgrn2020.bin
cp spgrn2020.bin ../
cd ../qssp2020_src
gfortran ./*.f -O3 -o qssp2020.bin
cp qssp2020.bin ../