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Published February 2023 | Published
Journal Article

A Caribbean and Central America Seismic Hazard Model for Sovereign Parametric Insurance Coverage

  • 1. ROR icon National Autonomous University of Mexico
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Istituto Universitario di Studi Superiori di Pavia

Abstract

A fully probabilistic seismic hazard model with a single domain and sufficiently accurate resolution level for national analyses has been developed, for the Caribbean and Central America, to support the design of parametric earthquake policies offered by the Caribbean Catastrophe Risk Financing Facility to sovereign countries. This model provides updated earthquake hazard and risk information for 34 countries in the region, allowing to obtain detailed seismic hazard results at any location within the area of analysis. Besides a detailed zonation of subduction and crustal sources, updated seismicity and tectonic data have been utilized. Different seismicity, geometric, and rupture models have been adopted using state-of-the-art methodologies and tools. The main output of this model is a stochastic event-set, which is the hazard representation utilized not only to compute a long-term overview of the seismic hazard in the region but also to probabilistically estimate earthquake modeled losses at a national level that are used as triggers for underpinning parametric earthquake insurance. Although not of direct interest for parametric insurance purposes, this model also yields hazard maps and uniform hazard spectra for different return periods. For the operational purposes of the parametric insurance coverage, a postevent tool was developed to calculate, in near-real time, the ground-motion intensities associated with any earthquake within the region under study. This is done automatically by choosing a rupture plane from the moment tensor solution based on predefined rules while maintaining full consistency with all the assumptions made in the probabilistic seismic hazard analysis. The predicted ground motions in the region and the vulnerability functions developed for the exposed assets are then used to estimate whether the economic losses for each affected country exceed the trigger value stated in the country-specific insurance policy conditions and whether a payout should be issued, which is typically disbursed within 14 days.

Copyright and License

© 2023 Seismological Society of America.

Acknowledgement

The authors wish to thank the Caribbean Catastrophe Risk Financing Facility (CCRIF) Segregated Portfolio Company (SPC) (formerly the Caribbean Catastrophe Risk Insurance Facility) for allowing them to reference their earthquake parametric insurance model in this article. The authors thank them for the confidence they have had in them since 2015 as the service provider that led the development of this model. The authors are also grateful to Walter Salazar and the anonymous reviewer who provided important suggestions that allowed improving the initial version of this article. X. P.‐C. had a sabbatical fellowship from Dirección General Asuntos del Personal Académico–Universidad Nacional Autónoma de México (DGAPA‐UNAM) and thanks the Seismological Laboratory at Caltech for partial funding.

Data Availability

The computer program for the probabilistic seismic hazard analysis (PSHA), R‐CRISIS, is available at http://www.r-crisis.com/ (last accessed May 2022). The International Seismological Centre‐Global Earthquake Model (ISC‐GEM) catalog was available at http://www.isc.ac.uk/iscgem/download.php (last accessed November 2021). The U.S. Geological Survey National Earthquake Information Center (USGS‐NEIC) catalog was available at https://earthquake.usgs.gov/earthquakes/search/ (last accessed November 2021). The Global Centroid Moment Tensor (Global CMT) catalog was available at https://www.globalcmt.org/CMTsearch.html (last accessed November 2021).

Additional details

Created:
October 21, 2024
Modified:
October 25, 2024