The 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.

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