Phys.org  December 27, 2022 An international team of researchers (Japan, New Zealand) leveraged the world’s largest and densest tsunami observing system to develop a method for a real-time tsunami inundation prediction based on machine learning. Their method utilizes 150 offshore stations encompassing the Japan Trench to simultaneously predict tsunami inundation at seven coastal cities stretching ~100 km along the southern Sanriku coast. They trained the model using 3093 hypothetical tsunami scenarios from the megathrust (Mw 8.0–9.1) and nearby outer-rise (Mw 7.0–8.7) earthquakes. Then, the model was tested against 480 unseen scenarios and three near-field historical tsunami events. The proposed model can […]