Machine learning-based tsunami inundation prediction derived from offshore observations

The world’s largest and densest tsunami observing system gives us the leverage to develop a method for a real-time tsunami inundation prediction based on machine learning. Our method utilizes 150 offshore stations encompassing the Japan Trench to simultaneously predict tsunami inundation at seven co...

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Detalles Bibliográficos
Autores principales: Mulia, Iyan E., Ueda, Naonori, Miyoshi, Takemasa, Gusman, Aditya Riadi, Satake, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485236/
https://www.ncbi.nlm.nih.gov/pubmed/36123346
http://dx.doi.org/10.1038/s41467-022-33253-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485236/
https://www.ncbi.nlm.nih.gov/pubmed/36123346
http://dx.doi.org/10.1038/s41467-022-33253-5

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