Work

Quantitative Evaluations of Earthquake Early Warning Performance Using “Did You Feel It?” and Post-Alert Surveys

Year: 2025

Type: article

Abstract: We examine responses to the U.S. Geological Survey’s “Did You Feel It?” (DYFI) survey and its companion earthquake early warning (EEW) questionnaire to assess the performance of the U.S. ShakeAlert EEW system directly from the alert recipients’ perspectives. ShakeAlert rapidly detects earthquakes and develops alert information, but as official alert delivery partners issue these alerts, it is difficult to determine how many people were alerted and when. We investigate DYFI reports for six California earthquakes that had EEW alerts and substantial responses to the DYFI EEW questionnaire. Comparisons of ShakeAlert predictions to reported intensities demonstrate that magnitude estimation accuracy is not necessarily indicative of ground-motion prediction accuracy. Perceived warning time distributions from DYFI indicate that estimating maximum-expected warning times using the S-wave arrival is reasonable for discussing public EEW performance. However, we also find many reports of shorter warning times, late alerts, and missed alerts than expected based on ShakeAlert publication times, indicating alert delivery latencies are substantial and highly variable. The novelty of our analysis is that we demonstrate that the DYFI EEW survey provides useful EEW efficacy information, independent of the specific alerting pathway, that can be used to inform our choices for conveying EEW performance.

Source: The Seismic Record

DOI: 10.1785/0320250018

Authors: Jessie K. Saunders, David J. Wald

Institutions: California Institute of Technology, United States Geological Survey

Language: English

Topic: Seismology and Earthquake Studies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: diamond

Funder: U.S. Geological Survey