Enhancing the accuracy and efficiency of routine seismic monitoring networks at local, regional, and global scales by integrating 3D background models and 3D Greens function database
Family of SEIS packages
- SeisDB is a python package developed to create the receiver-side 3D Greens’ function database.
- SeisGen is a python package that can request precise 3D Greens’ functions and theoretical seismograms from the local receiver-side 3D Greens’ function (SGT, displacement) database.
- SeisCloud provides the remote data server that hosts the 3D SGT database.
- SeisClient can request precise 3D Greens’ functions and theoretical seismograms from SeisCloud.
- SeisHMC is a python package for full moment tensor inversion using Hamiltonian Monte Carlo (HMC) sampling.
SeisCloud and database
SeisCloud can provides the pre-calculated 3D Greens’ function data for seismological research purposes.
The server can supply precise 3D Greens’ functions for point sources and theoretical seismograms for point sources, multiple-point sources, and finite faults in a negligible amount of time. This is useful for various applications, such as earthquake monitoring, earthquake hazard assessment, and Earthquake Early Warning (EEW), as the database is generated using 3D background models, source-receiver reciprocity, and the state-of-the-art waveform simulation software SPECFEM3D_Cartesian.
Real-time requests for 3D Greens’ functions and theoretical seismograms can be made from SeisCloud using SeisClient with SeisGen installed. For guidance, refer to the available tutorials.
Models hosted on SeisCloud
Acknowledgements
- Waveform simulations are performed using SPECFEM3D_Cartesian on the Niagara Supercomputer at SciNet, the University of Toronto‘s supercomputing center.
- The server and database are developed by Liang Ding, a postdoctoral member of the Computational Seismology Group, led by Prof. Qinya Liu at the University of Toronto.
- For contributions regarding 3D models, please refer to the models section.
