Combing Random Forest and Least Square Support Vector Regression for Improving Extreme Rainfall Downscaling

A statistical downscaling approach for improving extreme rainfall simulation was proposed to predict the daily rainfalls at Shih-Men Reservoir catchment in northern Taiwan. The structure of the proposed downscaling approach is composed of two parts: the rainfall-state classification and the regressi...

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Veröffentlicht in:	Water (Basel) 2019-03, Vol.11 (3), p.451
Hauptverfasser:	Pham, Quoc Bao, Yang, Tao-Chang, Kuo, Chen-Min, Tseng, Hung-Wei, Yu, Pao-Shan
Format:	Artikel
Sprache:	eng
Schlagworte:	Calibration Classification Climate change Datasets Discriminant analysis Methods Neural networks Precipitation Predictions Rainfall Regression analysis Statistical analysis Statistical tests Stream flow Support vector machines Variables Weather forecasting
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