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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2019
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| 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 |