Fast and full characterization of large earthquakes from prompt elastogravity signals.

ABSTRACT: Prompt ElastoGravity Signals are light-speed gravity-induced signals recorded before the arrival of seismic waves. They have raised interest for early warning applications but their weak amplitudes close to the background seismic noise have questioned their actual potential for operational use. A deep-learning model has recently demonstrated its ability to mitigate this noise limitation and to provide in near real-time the earthquake magnitude (M _w ). However, this approach was efficient only for large earthquakes (M _w ≥ 8.3) of known focal mechanism. Here we show unprecedented performance in full earthquake characterization using the dense broadband seismic network deployed in Alaska and Western Canada. Our deep-learning model provides acc

SUBMITTER: Juhel K 

PROVIDER: S-EPMC11452338 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature