Sheng, YixiaoDenolle, MarineBeroza, Gregory2019-09-122017-09-26Sheng, Yixiao, Marine A. Denolle, and Gregory C. Beroza. 2017. Multicomponent C3 Green’s Functions for Improved Long‐Period Ground‐Motion Prediction. Bulletin of the Seismological Society of America 107, no. 6: 2836-2845.0037-11061943-3573http://nrs.harvard.edu/urn-3:HUL.InstRepos:41356321The virtual earthquake approach to ground-motion prediction uses Green’s functions (GFs) determined from the ambient seismic field to predict long-period shaking from scenario earthquakes. The method requires accurate relative GF amplitudes between stations and among components; however, the amplitudes of ambient-field GFs are known to be subject to biases from uneven source distribution. We show that multicomponent, 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.en-USJournal Article2019-09-1210.1785/0120170053