Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance

Typhoons are among the greatest natural hazards along East Asian coasts. Typhoon-related precipitation can produce flooding that is often only predictable a few hours in advance. Here, we present a machine-learning method comparing projected typhoon tracks with past trajectories, then using the info...

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Detalles Bibliográficos
Autores principales: Chang, Li-Chiu, Chang, Fi-John, Yang, Shun-Nien, Tsai, Fong-He, Chang, Ting-Hua, Herricks, Edwin E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181664/
https://www.ncbi.nlm.nih.gov/pubmed/32332746
http://dx.doi.org/10.1038/s41467-020-15734-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181664/
https://www.ncbi.nlm.nih.gov/pubmed/32332746
http://dx.doi.org/10.1038/s41467-020-15734-7

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