Code to run parameter estimation technique for probabilistic earthquake model using historical and synthetic earthquake data of large ruptures

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Abstract/Contents

Abstract: The file contains the code to reproduce the results in Ceferino et al. (2020). The code fits the parameters for a recently proposed earthquake rupture model using historical data and synthetic data of large ruptures. Additionally, the code also generates synthetic earthquake data in tectonic faults by using an implementation of rate-and-state friction law. The files also includes a document with figures and a table that supplements the information provided in Ceferino et al. (2020). The assessment in the files is focused on a case study in the subduction fault along the Coast of Lima, in Peru. However, the files can be adapted to model other seismic faults in the world.

Type of resource	software, multimedia
Date created	2017 - 2019

Subject	earthquakes
Subject	interseismic times
Subject	seismic hazard
Subject	high performance computing
Subject	physics-based earthquake model
Subject	rate-and-state friction law
Genre	Dataset

Related Publication	Ceferino, L., Galvez, P., Ampuero, J.-P., Kiremidjian, A., Deierlein, G., & Villegas-Lanza, J. C. (2020). Bayesian parameter estimation for space and time interacting earthquake rupture model using historical and physics-based simulated earthquake catalogs. Bulletin of the Seismological Society of America, In Review.
Related Publication	Ceferino, L., Kiremidjian, A., & Deierlein, G. (2020). Probabilistic space- and time-interaction modeling of mainshock earthquake rupture occurrence. Bulletin of the Seismological Society of America. https://doi.org/10.1785/0120180220
Related item	Title Paper Preprint: Bayesian parameter estimation for space and time interacting earthquake rupture model using historical and physics-based simulated earthquake catalogs Title Paper Preprint: Probabilistic space- and time-interaction modeling of main-shock earthquake rupture occurrence
Location	https://purl.stanford.edu/mf336sw2626

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License: This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

Preferred Citation: Ceferino, Luis and Galvez, Percy and Ampuero, Jean-Paul and Kiremidjian, Anne and Deierlein, Gregory and Villegas-Lanza, Juan Carlos. (2020). Code to run parameter estimation technique for probabilistic earthquake model using historical and synthetic earthquake data of large ruptures. Stanford Digital Repository. Available at: https://purl.stanford.edu/mf336sw2626

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