Abstract
We present our third and final generation joint P and S global adjoint tomography (GLAD) model, GLAD-M35, and quantify its uncertainty based on a low-rank approximation of the inverse Hessian. Starting from our second-generation model, GLAD-M25, we added 680 new earthquakes to the database for a total of 2160 events. New P-wave categories are included to compensate for the imbalance between P- and S-wave measurements, and we enhanced the window selection algorithm to include more major-arc phases, providing better constraints on the structure of the deep mantle and more than doubling the number of measurement windows to 40 million. Two stages of a Broyden–Fletcher–Goldfarb–Shanno (BFGS) quasi-Newton inversion were performed, each comprising five iterations. With this BFGS update history, we determine the model’s standard deviation and resolution length through randomized singular value decomposition.
Original language | English (US) |
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Pages (from-to) | 478-502 |
Number of pages | 25 |
Journal | Geophysical Journal International |
Volume | 239 |
Issue number | 1 |
DOIs | |
State | Published - Oct 1 2024 |
All Science Journal Classification (ASJC) codes
- Geophysics
- Geochemistry and Petrology
Keywords
- Computational seismology
- Seismic tomography
- Wave propagation
- Waveform inversion