Early forecasting of tsunami inundation from tsunami and geodetic observation data with convolutional neural networks

Rapid and accurate hazard forecasting is important for prompt evacuations and reducing casualties during natural disasters. In the decade since the 2011 Tohoku tsunami, various tsunami forecasting methods using real-time data have been proposed. However, rapid and accurate tsunami inundation forecas...

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Detalles Bibliográficos
Autores principales: Makinoshima, Fumiyasu, Oishi, Yusuke, Yamazaki, Takashi, Furumura, Takashi, Imamura, Fumihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050057/
https://www.ncbi.nlm.nih.gov/pubmed/33859177
http://dx.doi.org/10.1038/s41467-021-22348-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050057/
https://www.ncbi.nlm.nih.gov/pubmed/33859177
http://dx.doi.org/10.1038/s41467-021-22348-0

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