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

Engineering and Technology

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

L. Chang, F. Chang, et al.

Discover how researchers Li-Chiu Chang, Fi-John Chang, Shun-Nien Yang, Fong-He Tsai, Ting-Hua Chang, and Edwin E. Herricks have harnessed machine learning techniques to predict flood hydrographs from typhoon activity, allowing for critical early warnings and real-time insights into flooding risks in East Asia.

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