AI Model for Predicting Tsunami
A joint project between the International Research Institute of Disaster Science (IREDeS) at Tohoku University, University of Tokyo, and Fujitsu Labs has enabled the development of a supercomputer-driven AI model for accurate prediction of tsunamis. It uses the fastest supercomputer Fugaku to generate training data for 20,000 possible tsunami scenarios based on high-resolution simulations. These scenarios were used to streamline an AI model that uses offshore waveform data generated by the tsunami to predict flooding before landfall at high spatial resolution. The current AI model, however, can be run in seconds on ordinary PCs. When this model was applied to a simulation of tsunami flooding in Tokyo Bay following a large earthquake it achieved highly accurate predictions with a regular PC within seconds. The results matched tsunami flooding of the tsunami source models released by the Cabinet Office of Japan.