Effective forecasting of hourly typhoon rainfall using support vector machines

Typhoon rainfall is one of the most difficult elements of the hydrologic cycle to forecast because of the high variability in space and time and the complex physical process. To obtain more effective forecasts of hourly typhoon rainfall, novel models with better ability are desired. On the basis of...

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Veröffentlicht in:	Water resources research 2009-08, Vol.45 (8), p.n/a
Hauptverfasser:	Lin, Gwo-Fong, Chen, Guo-Rong, Wu, Ming-Chang, Chou, Yang-Ching
Format:	Artikel
Sprache:	eng
Schlagworte:	case studies climate models disaster warning systems floods landslides model validation neural networks rain rainfall forecasting reservoir operation systems reservoirs support vector machines typhoon characteristics typhoons weather forecasting
Online-Zugang:	Volltext
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