Synthetic catalogs for Subduction fault along the Coast of Lima, in Peru
Abstract/Contents
- Abstract
- The data here contain 9 simulations of earthquake cycles with magnitudes larger than 7.5 in the subduction fault along the coast of Lima, Peru. The simulations contain 2,000 years of earthquake data and are estimated using an implementation of the rate-and-state friction law. Ceferino (2020) details the procedure to generate the data. The files can be used to further understand the cyclicity of large earthquakes in Peru.
Description
Type of resource | software, multimedia |
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Date created | 2019 |
Creators/Contributors
Author | Ceferino, Luis |
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Author | Galvez, Percy |
Author | Ampuero, Jean-Paul |
Author | Kiremidjian, Anne |
Author | Deierlein, Gregory |
Subjects
Subject | earthquakes |
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Subject | subduction faults |
Subject | rate-and-state friction law |
Subject | synthetic catalogs |
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 item | |
Location | https://purl.stanford.edu/by735ng7322 |
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. (2019). Synthetic catalogs for Subduction fault along the Coast of Lima, in Peru. Stanford Digital Repository. Available at: https://purl.stanford.edu/by735ng7322
Collection
Stanford Research Data
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- Contact
- lceferinor@gmail.com
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