Field (Column) | Type | Data type | Description |
If you use the data produced by the underlying API (including data downloadable through this web portal), please cite eGSIM as:
Zaccarelli, Riccardo; Weatherill, Graeme (2020): eGSIM - a Python library and web application to select and test Ground Motion models. GFZ Data Services. https://doi.org/10.5880/GFZ.2.6.2023.007
The content of this site, as well as all output data produced by the underlying API (including data downloadable through this web portal) is licensed under CC BY 4.0
This page code samples, as well as eGSIM source code is licensed under the GNU Affero General Public License v.3.0
The references of the Ground-shaking intensity models (Gsim) available in eGSIM can be found in the Python documentation of the OpenQuake (Disclaimer: the OpenQuake version at the link might not match exactly the version used in eGSIM, and hence the list of available models might slightly differ)
eGSIM uses the following input data (click on the links below for details such as e.g., how to cite their data alongside eGSIM in your work):
(All links provided in this page open in a new tab/window when clicked)
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Responsible editor for the contents of the web service is Prof. Dr. Fabrice Cotton (Head of Section 2.6 “Seismic Hazard and Risk Dynamics”)
Dr. Graeme Weatherill (scientific coordinator)
Dr. Riccardo Zaccarelli
Responsible for the technical implementation is Dr. Riccardo Zaccarelli
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eGSIM is a web application programming interface (API) implemented along the lines of popular seismological web services (e.g., FDSN), where users can perform queries in their code via configurable URLs in order to retrieve model predictions of ground motions from either observed or hypothetical earthquake scenarios.
Welcome to eGSIM web portal, a graphical user-friendly interface to interact with the API:
Get model predictions of ground motions from hypothetical earthquake scenarios
Utilities to compile, inspect or upload user-defined data of observed earthquake scenarios
Get residuals between model predictions of ground motions and observed earthquake scenarios