WUS256: An Adjoint Waveform Tomography Model of the Crust and Upper Mantle of the Western United States for Improved Waveform Simulations

Rodgers, A.; Krischer, L.; Afanasiev, M.; Boehm, C.; Doody, C.; Chiang, A.; Simmons, N.

doi:10.1029/2022JB024549

WUS256: An Adjoint Waveform Tomography Model of the Crust and Upper Mantle of the Western United States for Improved Waveform Simulations

Journal Article · Tue Jul 19 04:00:00 EDT 2022 · Journal of Geophysical Research. Solid Earth

DOI:https://doi.org/10.1029/2022JB024549· OSTI ID:1876646

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Geophysical Monitoring Program Lawrence Livermore National Laboratory Livermore CA USA
Mondaic Zurich Switzerland
Geophysical Monitoring Program Lawrence Livermore National Laboratory Livermore CA USA, Berkeley Seismology Laboratory University of California Berkeley Berkeley CA USA

Abstract

We report a new model (WUS256) of radially anisotropic seismic wavespeeds of the crust and upper mantle of the western United States (WUS) obtained from adjoint waveform tomography for the purpose of improving synthetic waveform fits to observed data. WUS256 is based on inversion of over 94,000 waveforms from 72 earthquakes recorded by nearly 3,400 stations. We started with the SPiRaL global model (Simmons et al., 2021, https://doi.org/10.1093/gji/ggab277 ) and waveforms in the period band of 50–120 s. We followed a conservative multiscale inversion approach with eight stages and 256 total inversion iterations which enabled monotonic misfit reduction to 20‐s minimum‐period waves. WUS256 relied on time‐frequency (TF) phase misfits and a trust region limited memory Broyden–Fletcher–Goldfarb–Shanno (L‐BFGS) optimization. Hessian‐vector products were used to qualitatively assess model resolution. Results indicate that WUS256 has good coverage of the continental regions to depths of about 150 km and is able to resolve features on lateral scales of about 200 km. We quantify waveform fits by the reduction in TF and normalized amplitude difference misfits between WUS256 and the SPiRaL starting model. WUS256 significantly improves waveform fits with misfit reduction 64% for both inversion and validation data sets compared to the SPiRaL starting model and shows even better fits compared to other models. Waveform fits illustrate that WUS256 reproduces body‐waves, fundamental mode surface waves as well as late arriving dispersed and/or scattered short period surface waves. The improvement in waveform fit indicates that WUS256 can be used to reproduce path effects on regional complete waveforms and moment tensor inversions.

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Sponsoring Organization:: USDOE

OSTI ID:: 1876646

Alternate ID(s):: OSTI ID: 1876647
OSTI ID: 1886147

Journal Information:: Journal of Geophysical Research. Solid Earth, Journal Name: Journal of Geophysical Research. Solid Earth Journal Issue: 7 Vol. 127; ISSN 2169-9313

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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The imprint of crustal density heterogeneities on regional seismic wave propagation Płonka, Agnieszka; Blom, Nienke; Fichtner, Andreas Solid Earth, Vol. 7, Issue 6 https://doi.org/10.5194/se-7-1591-2016	journal	January 2016
Dataset for "WUS256: An Adjoint Waveform Tomography Model of the Crust and Upper Mantle of the Western United States for Improved Waveform Simulations" Rodgers, Arthur Zenodo https://doi.org/10.5281/zenodo.6418105	dataset	January 2022
xarray: N-D labeled Arrays and Datasets in Python Hoyer, Stephan; Hamman, Joseph J. Journal of Open Research Software, Vol. 5 https://doi.org/10.5334/jors.148	journal	April 2017

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