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...

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Detalles Bibliográficos
Autores principales: Mulia, Iyan E., Ueda, Naonori, Miyoshi, Takemasa, Iwamoto, Takumu, Heidarzadeh, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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