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Published October 2022 | Supplemental Material + Published
Journal Article Open

Simultaneous inference of plate boundary stresses and mantle rheology using adjoints: large-scale 2-D models

Abstract

Plate motions are a primary surface constraint on plate and mantle dynamics and rheology, plate boundary stresses and the occurrence of great earthquakes. Within an optimization method, we use plate motion data to better constrain uncertain mantle parameters. For the optimization problem characterizing the maximum a posteriori rheological parameters we derive gradients using adjoints and expressions to approximate the posterior distributions for stresses within plate boundaries. We apply these methods to a 2-D cross section from the western to eastern Pacific, with temperature distributions and fault zone geometries developed primarily from seismic and plate motion data. We find that the best-fitting stress exponent, n, is about 2.8 and the yield stress about 100 MPa or less. The normal stress on the interplate fault zones is about 100 MPa and the shear stresses about 10 MPa or less.

Additional Information

© The Author(s) 2022. Published by Oxford University Press on behalf of The Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Revision received: 03 November 2021. Received: 16 May 2022. Accepted: 15 June 2022. Published: 17 June 2022. Corrected and typeset: 04 July 2022. We thank Dave May and Tobias Baumann for helpful reviews of the manuscript. This work was partially supported by the National Science Foundation (NSF) through awards EAR-1645775 and EAR-2009935 to MG and EAR-1646337 and DMS-1723211 to GS. This material also was based in part upon work supported by the U.S. Department of Energy, Office of Science, under contract DE-AC02-06CH11357. Computations carried out on the Texas Advanced Computing Center (TACC) Stampede-2 supercomputer using allocation TG-DPP130002 of the Extreme Science and Engineering Discovery Environment (XSEDE) supported by NSF grant ACI-1548562. DATA AVAILABILITY. The authors declare that all other data supporting the findings of this study are available within the paper and its Supplementary Material files. The code (Rhea) used for the forward models and the inference is available upon request.

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Published - ggac207.pdf

Supplemental Material - ggac207_supplemental_file.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 24, 2023