Machine learning-based tsunami inundation prediction derived from offshore observations

One of the main challenges in the tsunami inundation prediction is related to the real-time computational efforts done under restrictive time constraints. Here the authors show that using machine learning-based model, we can achieve comparable accuracy to the physics-based model with ~99% computatio...

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Bibliographic Details
Main Authors: Iyan E. Mulia, Naonori Ueda, Takemasa Miyoshi, Aditya Riadi Gusman, Kenji Satake
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-33253-5
Description
Summary:One of the main challenges in the tsunami inundation prediction is related to the real-time computational efforts done under restrictive time constraints. Here the authors show that using machine learning-based model, we can achieve comparable accuracy to the physics-based model with ~99% computational cost reduction.
ISSN:2041-1723