Instantaneous tracking of earthquake growth with elastogravity signals

• Published in: Nature (London) Vol. 606; no. 7913; pp. 319 - 324
• Main Authors: Licciardi, Andrea, Bletery, Quentin, Rouet-Leduc, Bertrand, Ampuero, Jean-Paul, Juhel, Kévin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 09.06.2022; Nature Publishing Group
• Subjects: 704/2151/2809; 704/2151/508; 704/4111; Algorithms; Broadband; Data Management; Databases, Factual; Deep learning; Early warning systems; Earth Sciences; Earthquake magnitude; Earthquakes; Emergency communications systems; Emergency warning programs; Geodesy; Geophysics; GEOSCIENCES; Humanities and Social Sciences; Latency; Machine learning; multidisciplinary; natural hazards; Noise; Real time; Risk reduction; Science; Science (multidisciplinary); Sciences of the Universe; Seismic activity; Seismic waves; Seismograms; seismology; Seismometers; Shaking; Time functions; Tsunamis; Warning systems; Waveforms; Japan

Rapid and reliable estimation of large earthquake magnitude (above 8) is key to mitigating the risks associated with strong shaking and tsunamis 1 . Standard early warning systems based on seismic waves fail to rapidly estimate the size of such large earthquakes 2 – 5 . Geodesy-based approaches prov...