Evaluation and Comparison of Six High-Resolution Daily Precipitation Products in Mainland China

Satellite-based and reanalysis precipitation products have experienced increasing popularity in agricultural, hydrological meteorological applications, but their accuracy is still uncertain different areas. In this study, six frequently used high-resolution daily products, including Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), Global Satellite Mapping of (GSMaP), Integrated Multi-satellitE Retrievals for Measurement (IMERG), Multi-Source Weighted-Ensemble (MSWEP), Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR) European Center Medium-Range Weather Forecasts Reanalysis V5-Land (ERA5-Land), were comprehensively evaluated compared nine regions mainland China between 2015 2019. The results reveal that, general, GSMaP the best product agricultural regions, especially based on Pearson correlation coefficient (CC) critical success index (CSI). ERA5-Land MSWEP tend to highest probability detection (POD) values, tends smallest relative root mean squared error (RRMSE) values. performs better at almost all levels most each season, while has performance capturing time series precipitation. addition, perform summer worse winter, they are more accurate eastern region. findings study will contribute understanding uncertainties improving quality guiding selection.