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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |