Dawnscaling

Application of Statistical Downscaling with Principal Component Regression for Local Rainfall Forecasting in Jember Regency
In this study, rainfall forecasting was conducted in Jember Regency using Principal Component Analysis (PCA) for dimensional reduction and a predictive model of Principal Component Regression (PCR). The accuracy was measured in each cluster in the 8×8, and 10×10 domains with the RMSE statistic was around 80.41-101.35.
Alfian Futuhul Hadi, Abduh Riski, Okit Tazkiyah, Dian Anggraeni, Izdihar Salsabila, Dimas BC Wicaksono
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Application of Statistical Downscaling with Principal Component Regression for Local Rainfall Forecasting in Jember Regency