Source-encoded waveform inversion in the Northern Hemisphere

Cui, Congyue; Bachmann, Etienne; Peter, Daniel; Liu, Zhaolun; Tromp, Jeroen

doi:10.1093/gji/ggad363

Source-encoded waveform inversion in the Northern Hemisphere

Journal Article · Mon Sep 18 04:00:00 EDT 2023 · Geophysical Journal International

DOI:https://doi.org/10.1093/gji/ggad363· OSTI ID:2424035

Cui, Congyue; ; Peter, Daniel; ;

SUMMARY

We use source-encoded waveform inversion to image Earth’s Northern Hemisphere. The encoding method is based on measurements of Laplace coefficients of stationary wavefields. By assigning to each event a unique frequency, we compute Fréchet derivatives for all events simultaneously based on one ‘super’ forward and one ‘super’ adjoint simulation for a small fraction of the computational cost of classical waveform inversion with the same data set. No cross-talk noise is introduced in the process, and the method does not require all events to be recorded by all stations. Starting from global model GLAD_M25, we performed 100 conjugate gradient iterations using a data set consisting of 786 earthquakes recorded by 9846 stations. Synthetic inversion tests show that we achieve good convergence based on this data set, and we see a consistent misfit reduction during the inversion. The new model, named SE100, has much higher spatial resolution than GLAD_M25, revealing details of the Yellowstone and Iceland hotspots, subduction beneath the Western United States and the upper mantle structure beneath the Arctic Ocean.

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 2424035

Journal Information:: Geophysical Journal International, Journal Name: Geophysical Journal International Journal Issue: 3 Vol. 235; ISSN 0956-540X

Publisher:: Oxford University Press

Country of Publication:: United States

Language:: English

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