Improved Earthquake Source Parameters with 3D Wavespeed Models in California and Nevada

Author:

Doody Claire1ORCID,Rodgers Arthur1ORCID,Chiang Andrea1ORCID,Afanasiev Michael2ORCID,Boehm Christian2,Krischer Lion2,Simmons Nathan1

Affiliation:

1. 1Lawrence Livermore National Laboratory, Geophysical Monitoring Program, Livermore, California, U.S.A.

2. 2Mondaic, Ltd, Zürich, Switzerland

Abstract

Abstract Seismic tomography harnesses earthquake data to explore the inaccessible structure of the Earth. Adjoint waveform tomography (AWT), a method of seismic tomography, updates the tomographic model by optimizing the fit between observed earthquake data and synthetic waveforms. The synthetic data are calculated by solving the wave equation through a given 3D model. An important requirement to calculating synthetics is the source information (location, centroid time, depth, and moment tensor). Errors in source information affect the quality of the synthetics produced, which in turn can limit how structure can be inferred in the AWT workflow. To test the effect of updating source information, we used MTTime (Chiang, 2020), a time-domain full-waveform moment tensor inversion code, to calculate the moment tensors and depths of 118 earthquakes that occurred in California and Nevada over a 20-yr period. We calculated 3D Green’s functions using a 3D seismic wavespeed model of California and Nevada (Doody et al., 2023b). We show that the inverted solutions provide better waveform fits than the Global Centroid Moment Tensor catalog and increase usable, well-correlated data by up to 7%. Therefore, we argue that recalculating source parameters should be considered in AWT workflows, particularly for smaller magnitude events (Mw<5.0).

Publisher

Seismological Society of America (SSA)

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