Abstract: The daily precipitation data of China Meteorological Administration Land Surface Data Assimilation System (CLDAS) , the fifth generation ECMWF reanalysis precipitation data (ERA5), and the observed precipitation data of 156 national meteorological stations in Sichuan Province from 2008 to 2022 were selected. Using the methods of error analysis, TS score, the applicability of CLDAS precipitation data in Sichuan Province was evaluated, and the feasibility of its operational application in climate evaluation operations was discussed. The results show that the mean and absolute errors of CLDAS precipitation data are small, the TS scores of light and moderate rain can reach 0.6~0.8, and the TS scores of heavy rain and rainstorm decrease slightly. The daily, monthly and annual climatic averages are in good agreement with the observed values, which are better than the ERA5 data. In addition, CLDAS precipitation data can more accurately reflect the spatial distribution characteristics of precipitation in Sichuan Province, to a certain extent, it can make up for the problem of sparse obeservation sations. Moreover, by establishing relevant standards, the CLDAS precipitation data meet the automation and standardization requirements of operational products, thereby improving the efficiency of climate decision-making services.