Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning

The massive socioeconomic impacts engendered by extreme floods provides a clear motivation for improved understanding of flood drivers. We use self-organizing maps, a type of artificial neural network, to perform unsupervised clustering of climate reanalysis data to identify synoptic-scale atmospher...

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Detalles Bibliográficos
Autores principales: Schlef, Katherine E., Moradkhani, Hamid, Lall, Upmanu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509142/
https://www.ncbi.nlm.nih.gov/pubmed/31073192
http://dx.doi.org/10.1038/s41598-019-43496-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509142/
https://www.ncbi.nlm.nih.gov/pubmed/31073192
http://dx.doi.org/10.1038/s41598-019-43496-w

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