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A novel deep learning approach for typhoon-induced storm surge modeling through efficient emulation of wind and pressure fields
Modeling typhoon-induced storm surges requires 10-m wind and sea level pressure fields as forcings, commonly obtained using parametric models or a fully dynamical simulation by numerical weather prediction (NWP) models. The parametric models are generally less accurate than the full-physics models o...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188603/ https://www.ncbi.nlm.nih.gov/pubmed/37193794 http://dx.doi.org/10.1038/s41598-023-35093-9 |