Enhancing Earthquake Early Warning with FinDer: Advances in Rapid Finite-source Modeling, Performance Evaluation, and New Features
Description:
The Finite-Fault Rupture Detector (FinDer) algorithm offers a fast and straightforward method for computing finite-source models for earthquakes from seismic data using template matching. These models are essential for providing rapid forecasts of spatial shaking patterns and potential damage in moderate and large earthquakes, which are critical for earthquake early warning (EEW) and response efforts. In this presentation, we will review FinDer's performance within the US West Coast ShakeAlert system, as well as in other installations, during recent large earthquakes, including the M7.0 Cape Mendocino earthquake in Northern California. We will also showcase new developments in FinDer, including accelerated magnitude estimtation using displacement amplitudes, the use of fault-specific templates for large earthquakes, integration with ShakeMaps, and a new EEW Performance Viewer to improve analysis of performance during earthquake sequences.
Session: Performance and Progress of Earthquake Early Warning Systems Around the World [Poster]
Type: Poster
Date: 4/16/2025
Presentation Time: 08:00 AM (local time)
Presenting Author: Maren
Student Presenter: No
Invited Presentation:
Poster Number: 115
Authors
Maren Böse Presenting Author Corresponding Author mboese@sed.ethz.ch ETH Zurich |
Jessie Saunders jsaunder@caltech.edu California Institute of Technology |
Mika Thompson usherm42@uw.edu University of Washington |
Jennifer Andrews jen.andrews@gns.cri.nz GNS Science |
J Renate Hartog jrhartog@uw.edu University of Washington |
Claude Felizardo claude@caltech.edu California Institute of Technology |
Savas Ceylan savas.ceylan@eaps.ethz.ch ETH Zurich |
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Enhancing Earthquake Early Warning with FinDer: Advances in Rapid Finite-source Modeling, Performance Evaluation, and New Features
Session
Performance and Progress of Earthquake Early Warning Systems Around the World