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  Ground-Motion Models at Your Fingertips: Easy, Rapid, and Flexible Analysis with eGSIM

Zaccarelli, R., Weatherill, G., Bindi, D., Cotton, F. (2026 online): Ground-Motion Models at Your Fingertips: Easy, Rapid, and Flexible Analysis with eGSIM. - Seismological Research Letters.
https://doi.org/10.1785/0220250228

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 Creators:
Zaccarelli, Riccardo1, 2, Author                 
Weatherill, Graeme1, Author                 
Bindi, Dino1, Author                 
Cotton, Fabrice1, Author           
Affiliations:
12.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, GFZ Helmholtz Centre for Geosciences, ou_146032              
2Corresponding Author, GFZ Helmholtz Centre for Geosciences, ou_5027332              

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 Abstract: eGSIM is an OpenQuake‐based Python library and web application for analysis and interpretation of ground motions (observed and/or simulated) and ground‐motion models (GMMs). Developed in the frameworks of the European Facilities for Earthquake Hazard and Risk and the European Plate Observing System (EPOS), the eGSIM webservice can be used in many applications, from data visualization through its graphical user interface in the user's browser, to programmatic access to its application programming interface in the user’s code. Its core functionalities are based on two types of GMMs comparisons: “Model‐to‐Model,” in which the expected ground motions and aleatory variabilities are compared for a range of user‐configurable scenarios, and “Model‐to‐Data,” in which the GMMs can be compared against databases of ground motion observations. We showcase eGSIM’s main features and highlight many of the potential applications, before illustrating its use in an exploratory analysis comparing ground motions from observations and physics‐based simulations. These examples demonstrate not only the ease with which eGSIM can perform common analysis of GMMs for hazard and risk modelling, but also its versatility for application to other customized exploratory analyses and for integration in state‐of‐the‐art high‐performance‐computing workflows.

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Language(s): eng - English
 Dates: 2026-01-26
 Publication Status: Published online
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1785/0220250228
OATYPE: Hybrid Open Access
GFZPOF: p4 T3 Restless Earth
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Title: Seismological Research Letters
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: Publisher: Seismological Society of America (SSA)
CoNE: https://gfzpublic.gfz.de/cone/journals/resource/journals447