Evaluation of multiple bias correction methods with different satellite rainfall products in the Main Beles Watershed, Upper Blue Nile (Abbay) Basin, Ethiopia

Abstract This study investigates the utility of satellite-based rainfall products and performance bias correction methods in one sub-basins Upper Blue Nile Basin (Main Beles basin). Four satellite are used: Climate Prediction Center (CPC) MORPHing technique (CMORPH), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), Tropical Rainfall Measuring Mission Multi-Satellite Analysis (TMPA) 3B42V7 (TMPA 3B42V7), Forecast System Reanalysis (CFSR). The (SRPs) was compared three (Delta, Empirical Quantile Mapping (EQM), (QM)) on five metrological stations. Six statistical criteria were used to evaluate these period 2003–2016 at daily monthly scales. results showed that SRPs CMORPH_QM (r = 0.538) TMPA_3B42V7_EQM 0.95) data good performance, while PERSIANN_EQM 0.348) PERSIANN_Delta 0.83) performed worst time scales, respectively. assessed importance use scarce regions for water resources planning other related sectors.