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Published August 2014 | Supplemental Material + Published
Journal Article Open

Bayesian inversion for finite fault earthquake source models – II: the 2011 great Tohoku-oki, Japan earthquake

Abstract

We present a fully Bayesian inversion of kinematic rupture parameters for the 2011 M_w 9 Tohoku-oki, Japan earthquake. Albeit computationally expensive, this approach to kinematic source modelling has the advantage of producing an ensemble of slip models that are consistent with physical a priori constraints, realistic data uncertainties, and realistic but simplistic uncertainties in the physics of the kinematic forward model, all without being biased by non-physical regularization constraints. Combining 1 Hz kinematic GPS, static GPS offsets, seafloor geodesy and near-field and far-field tsunami data into a massively parallel Monte Carlo simulation, we construct an ensemble of samples of the posterior probability density function describing the evolution of fault rupture. We find that most of the slip is concentrated in a depth range of 10–20 km from the trench, and that slip decreases towards the trench with significant displacements at the toe of wedge occurring in just a small region. Estimates of static stress drop and rupture velocity are ambiguous. Due to the spatial compactness of the fault rupture, the duration of the entire rupture was less than approximately 150 s.

Additional Information

© 2014 The Authors. Published by Oxford University Press on behalf of The Royal Astronomical Society. Accepted 2014 May 7. Received 2014 May 6; in original form 2013 July 15. The CATMIP MCMC simulations were executed on NASA's Pleiades supercomputer. This work is supported by the National Science Foundation through grant number EAR-0941374 and is Caltech Seismological Laboratory contribution 10087.

Attached Files

Published - Geophys._J._Int.-2014-Minson-922-40.pdf

Supplemental Material - supplementary_figures.pdf

Supplemental Material - supplementary_tables__2_.zip

Supplemental Material - supplementary_tables.zip

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August 22, 2023
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