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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| 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 |