Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China

The number of precipitation products at the global scale has increased rapidly, and accuracy these directly affects hydro-meteorological simulation forecast. Therefore, applicability should be comprehensively evaluated to improve their application in hydrometeorology. This paper performances six widely used southwest China by quantitative assessment contingency assessment. were Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis 3B42 version 7 (TRMM V7), Global Satellite Mapping (GSMaP MVK), Integrated Multi-satellitE Retrievals for GPM final run (GPM IMERG Final), Estimation from Remotely Sensed Information using Artificial Neural Network—Climate Data Record (PERSIANN-CDR), Climate Hazards Infrared with Stations 2.0 (CHIRPS V2.0), Land Assimilation System (GLDAS V2.0). From above products, daily-scale data 2001 2019 chosen compare measured rain gauge, gauges classified river basin elevation. All statistical indicators. Results showed that (1) Final CHIRPS V2.0 performed well Yarlung Zangbo River (YZ) basin, while GLDAS Lantsang (LS), Nujiang (NJ), Yangtze (YT), Yellow (YL) basins; (2) upper middle reaches YZ outstanding all products; downstream well; upstream LS NJ, Final, TRMM V7, V2.0, can recommended as a substitute data; (3) seen substitutes when elevation is below 4000 m. study provides reference selection forecast also basis multi-source assimilation fusion.