Code to run parameter estimation technique for probabilistic earthquake model using historical and synthetic earthquake data of large ruptures
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.
Description
Type of resource | software, multimedia |
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Date created | 2017 - 2019 |
Creators/Contributors
Author | Ceferino, Luis |
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Author | Galvez, Percy |
Author | Ampuero, Jean-Paul |
Author | Kiremidjian, Anne |
Author | Deierlein, Gregory |
Author | Villegas-Lanza, Juan Carlos |
Subjects
Subject | earthquakes |
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Subject | interseismic times |
Subject | seismic hazard |
Subject | high performance computing |
Subject | physics-based earthquake model |
Subject | rate-and-state friction law |
Genre | Dataset |
Bibliographic information
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. |
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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 | |
Location | https://purl.stanford.edu/mf336sw2626 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
Preferred citation
- 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
Collection
Stanford Research Data
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- Contact
- lceferinor@gmail.com
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