Cargando…
Exploring deep learning capabilities for surge predictions in coastal areas
To improve coastal adaptation and management, it is critical to better understand and predict the characteristics of sea levels. Here, we explore the capabilities of artificial intelligence, from four deep learning methods to predict the surge component of sea-level variability based on local atmosp...
Autores principales: | Tiggeloven, Timothy, Couasnon, Anaïs, van Straaten, Chiem, Muis, Sanne, Ward, Philip J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390491/ https://www.ncbi.nlm.nih.gov/pubmed/34446771 http://dx.doi.org/10.1038/s41598-021-96674-0 |
Ejemplares similares
-
A global reanalysis of storm surges and extreme sea levels
por: Muis, Sanne, et al.
Publicado: (2016) -
Corrigendum: A global reanalysis of storm surges and extreme sea levels
por: Muis, Sanne, et al.
Publicado: (2016) -
Vulnerability of Coastal Communities from Storm Surge and Flood Disasters
por: Bathi, Jejal Reddy, et al.
Publicado: (2016) -
Quantifying the protective capacity of mangroves from storm surges in coastal Bangladesh
por: Dasgupta, Susmita, et al.
Publicado: (2019) -
Deep Learning Capabilities for the Categorization of Microcalcification
por: Kumar Singh, Koushlendra, et al.
Publicado: (2022)