Multi-Component C3 Green’s Functions for Improved Long-Period Ground Motion Prediction

Yixiao Sheng, Marine A. Denolle, & Gregory C. Beroza

Awaiting Publication July 26, 2017, SCEC Contribution #7365

The virtual earthquake approach to ground motion prediction uses Green’s functions determined from the ambient seismic field to predict long-period shaking from scenario earthquakes. The method requires accurate relative Green’s function amplitudes between stations and among components; however, the amplitudes of ambient-field Green’s functions are known to be subject to biases from uneven source distribution. We show that multi-component, higher order cross-correlations are significantly less biased than the conventional first-order cross-correlation, and we demonstrate that they provide a more reliable prediction of observed ground motion amplitudes for a recent moderate earthquake on the San Jacinto Fault in southern California.

Citation
Sheng, Y., Denolle, M. A., & Beroza, G. C. (2017). Multi-Component C3 Green’s Functions for Improved Long-Period Ground Motion Prediction . BSSA, (awaiting publication).