CANVAS: An Adjoint Waveform Tomography Model of California and Nevada

Doody, Claire; Rodgers, Arthur; Afanasiev, Michael; Boehm, Christian; Krischer, Lion; Chiang, Andrea; Simmons, Nathan

doi:10.1029/2023JB027583

Title: CANVAS: An Adjoint Waveform Tomography Model of California and Nevada

Journal Article · 22 December 2023 · Journal of Geophysical Research. Solid Earth

DOI: https://doi.org/10.1029/2023JB027583 · OSTI ID:2263269

^[1];

^[1]; Afanasiev, Michael ^[2]; Boehm, Christian ^[2];

^[2];

^[1]; Simmons, Nathan ^[1]

Lawrence Livermore National Laboratory Geophysical Monitoring Program Livermore CA USA
Mondaic, Ltd Zürich Switzerland

Abstract We present the California‐Nevada Adjoint Simulations (CANVAS) model, an adjoint waveform tomography model of the crust and uppermost mantle of the states of California and Nevada. We used WUS256 (Rodgers et al., 2022, https://doi.org/10.1029/2022jb024549 ) as the starting model and iteratively decreased the minimum period of CANVAS from 30 to 12 s. CANVAS was iterated in two distinct stages: the first stage with source mechanisms from the Global Centroid Moment Tensor (GCMT) catalog and the second stage with inverted moment tensors (MT) using the CANV_WUS model (Doody et al., 2023, https://doi.org/10.1029/2023jb026463 ). We show that updating the MTs with 3D Green's functions improved waveform fits and azimuthal coverage of windowed data used to calculate the gradients. As for the model itself, we improved waveform fits over WUS256, particularly in the dispersed surface waves. CANVAS resolved tectonic features seen in other models and accurately defined the depth to basement of major basins, including the Central Valley and the Ventura Basin. We propose CANVAS as a starting model for crustal tomography models on smaller scales.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: Southern California Earthquake Center; USDOE; USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 2263269

Report Number(s):: LLNL-JRNL-852542; e2023JB027583

Journal Information:: Journal of Geophysical Research. Solid Earth, Journal Name: Journal of Geophysical Research. Solid Earth Journal Issue: 12 Vol. 128; ISSN 2169-9313

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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