Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis

The Global EarthquakE ScEnarios (GEESE) algorithm retrieves from a seismic hazard input model the ruptures matching a set of criteria (e.g., magnitude, location, focal mechanism). We applied the GEESE algorithm to create a publicly available database (version 1.0) of finite rupture models for past...

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Main Authors: Christopher Brooks, Marco Pagani, Manuela Villani, Kendra Johnson, Richard Styron, Kirsty Bayliss
Format: Article
Language:English
Published: McGill University 2025-07-01
Series:Seismica
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Online Access:https://seismica.library.mcgill.ca/article/view/1654
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author Christopher Brooks
Marco Pagani
Manuela Villani
Kendra Johnson
Richard Styron
Kirsty Bayliss
author_facet Christopher Brooks
Marco Pagani
Manuela Villani
Kendra Johnson
Richard Styron
Kirsty Bayliss
author_sort Christopher Brooks
collection DOAJ
description The Global EarthquakE ScEnarios (GEESE) algorithm retrieves from a seismic hazard input model the ruptures matching a set of criteria (e.g., magnitude, location, focal mechanism). We applied the GEESE algorithm to create a publicly available database (version 1.0) of finite rupture models for past earthquakes which can be used for scenario seismic hazard and risk analysis applications. To this end, we selected earthquakes with a moment magnitude larger than 7.0 and hypocentral depth less than 200 km in the ISC-GEM catalogue (version 10.0) and retrieved the best matching ruptures from the seismic hazard models in the GEM Mosaic. The GEESE algorithm also automatically computes a set of ground-motion fields using each matched rupture, which are also provided in the database. The ability of the GEESE algorithm to test whether a Mosaic model can generate a rupture sufficiently representative of a queried event is a useful means of evaluating the Mosaic model's seismic source characterisation (SSC). Sufficiently matching ruptures are retrieved from the Global Mosaic for 90 percent of the tested ISC-GEM events. The GEESE algorithm can also be used in post-event response analysis to rapidly obtain an initial finite rupture when only minimal event information is initially available. A demonstration of these capabilities of the GEESE algorithm is provided using the 2023 Morocco earthquake, the 1994 Northridge earthquake, and the 2023 Kahramanmaras earthquake.
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spelling doaj-art-e665da75e4c44995b9fafa3d267dbf162025-08-20T03:31:34ZengMcGill UniversitySeismica2816-93872025-07-014210.26443/seismica.v4i2.1654Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response AnalysisChristopher Brooks0Marco Pagani1Manuela Villani2Kendra Johnson3Richard Styron4Kirsty Bayliss5Global Earthquake Model Foundation (GEM)Global Earthquake Model Foundation (GEM) | Institute of Catastrophe Risk Management, NTU, SingaporeGlobal Earthquake Model Foundation (GEM) | Arup, LondonGlobal Earthquake Model Foundation (GEM)Global Earthquake Model Foundation (GEM)Global Earthquake Model Foundation (GEM) The Global EarthquakE ScEnarios (GEESE) algorithm retrieves from a seismic hazard input model the ruptures matching a set of criteria (e.g., magnitude, location, focal mechanism). We applied the GEESE algorithm to create a publicly available database (version 1.0) of finite rupture models for past earthquakes which can be used for scenario seismic hazard and risk analysis applications. To this end, we selected earthquakes with a moment magnitude larger than 7.0 and hypocentral depth less than 200 km in the ISC-GEM catalogue (version 10.0) and retrieved the best matching ruptures from the seismic hazard models in the GEM Mosaic. The GEESE algorithm also automatically computes a set of ground-motion fields using each matched rupture, which are also provided in the database. The ability of the GEESE algorithm to test whether a Mosaic model can generate a rupture sufficiently representative of a queried event is a useful means of evaluating the Mosaic model's seismic source characterisation (SSC). Sufficiently matching ruptures are retrieved from the Global Mosaic for 90 percent of the tested ISC-GEM events. The GEESE algorithm can also be used in post-event response analysis to rapidly obtain an initial finite rupture when only minimal event information is initially available. A demonstration of these capabilities of the GEESE algorithm is provided using the 2023 Morocco earthquake, the 1994 Northridge earthquake, and the 2023 Kahramanmaras earthquake. https://seismica.library.mcgill.ca/article/view/1654seismic source model development and testingOpenQuakefinite rupture databaseseismic hazard scenarios databaserapid post-event finite rupture generation
spellingShingle Christopher Brooks
Marco Pagani
Manuela Villani
Kendra Johnson
Richard Styron
Kirsty Bayliss
Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis
Seismica
seismic source model development and testing
OpenQuake
finite rupture database
seismic hazard scenarios database
rapid post-event finite rupture generation
title Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis
title_full Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis
title_fullStr Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis
title_full_unstemmed Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis
title_short Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis
title_sort global earthquake scenarios geese an openquake engine based rupture matching algorithm and scenarios database for seismic source model testing and rapid post event response analysis
topic seismic source model development and testing
OpenQuake
finite rupture database
seismic hazard scenarios database
rapid post-event finite rupture generation
url https://seismica.library.mcgill.ca/article/view/1654
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