Published April 2023 | Version Supplemental Material
Journal Article Open

Performance and Next-Generation Development of the Finite-Fault Rupture Detector (FinDer) within the United States West Coast ShakeAlert Warning System

  • 1. ROR icon ETH Zurich
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon GNS Science
  • 4. ROR icon University of Washington

Abstract

Rapid fault rupture information is important to estimate seismic ground motions and damage in large earthquakes, and is, therefore, of great value for earthquake early warning (EEW) and rapid response. The Finite-Fault Rupture Detector (FinDer) algorithm computes earthquake line-source models by comparing spatial distributions of high-frequency seismic amplitudes with precomputed template maps. FinDer is one of two seismic EEW algorithms currently adopted by the United States West Coast ShakeAlert EEW system. Between March 2018 and October 2022, FinDer detected 1048 earthquakes (2.3 ≤ M ≤ 7.1) inside the FinDer-reporting region in California, Oregon, and Washington with a median detection time of 8.5 s (75th and 95th percentile: 11.5 s, 38.9 s) after event origin and median errors (first report) of 6.7 km (75th and 95th percentile: 10.5 km, 25.5 km) in location, −0.45 s (mean ± st. dev.: 0.1 ± 5.9 s) in origin time, and 0.33 units (mean ± st. dev.: 0.33 ± 0.31 m.u.) in magnitude. Ground motions estimated using FinDer source parameters are in excellent agreement with observed peak ground accelerations, and residuals are, on average, 30% smaller than if predicted from catalog source parameters. This suggests that FinDer's simple source parameter terms are accounting for more complex high-frequency source characteristics. This article summarizes the performance of FinDer in ShakeAlert and describes the recent improvements to the algorithm addressing issues encountered during real-time operation. This includes the handling of latent seismic data, robust event detection in regions with sparse instrumentation, enabling faster magnitude convergence in large earthquakes, use of fault- and scenario-specific earthquakes (e.g., along the Cascadia subduction zone or San Andreas fault), as well as increased robustness of FinDer in complex earthquake sequences. We demonstrate the performance of the new FinDer version 3 algorithm using waveform playbacks of selected events along the U.S. West Coast, Japan, and China, including both historic and synthetic earthquakes.

Additional Information

© 2023 Seismological Society of America. This material is based upon work supported by the U.S. Geological Survey (USGS) under Grant/Cooperative Agreement Numbers G19AC00252 and G21AC10532 to ETH Zürich, G19AC00296 and G21AC10561 to Caltech, and G21AC10529 to University of Washington. The authors would like to thank Associate Editor Jeanne Hardebeck and an anonymous reviewer for their suggestions to improve the article. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the USGS. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The authors acknowledge that there are no conflicts of interest recorded.

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Additional details

Identifiers

Eprint ID
121289
Resolver ID
CaltechAUTHORS:20230502-330322900.4

Funding

USGS
G19AC00252
USGS
G21AC10532
USGS
G19AC00296
USGS
G21AC10561
USGS
G21AC10529

Dates

Created
2023-05-03
Created from EPrint's datestamp field
Updated
2023-05-03
Created from EPrint's last_modified field