Merging multiscale models improves regional seismic wavefield predictions near the southern San Andreas fault

Rasheed Ajala, & Patricia Persaud

Under Review February 18, 2021, SCEC Contribution #10948

Improving Earth models used by the scientific community in geologic studies and hazard assessment has a significant societal impact but is computationally prohibitive due to the large spatial scale. The advent of urban seismology allowed rapid development of local high-resolution models using short-term dense seismic arrays to become conventional. To feasibly improve community models by incorporating the detail in local models, we developed a technique for constructing window functions with arbitrary support. We apply our algorithm to the problem of ground shaking estimation near the southernmost San Andreas fault by creating hybrid models consisting of local high-resolution models embedded into popular community models. We evaluate the models by computing low-frequency wavefield misfits for past earthquakes. A hybrid model outperforms its predecessors in the validation exercise, showing that the method provides a practical means of generating superior model candidates. Our method can merge any type of gridded multiscale and multidimensional datasets.

Citation
Ajala, R., & Persaud, P. (2021). Merging multiscale models improves regional seismic wavefield predictions near the southern San Andreas fault. Journal of Geophysical Research: Solid Earth, (under review).


Related Projects & Working Groups
Assimilating SSIP data into a Full 3D Tomography (F3DT) model of the Salton Trough, SCEC Community Models (CXM), Ground Motions (GM), San Andreas Fault System (SAFS)