Abstract: As various sectors of the society are increasing their requirements for refined meteorological services, it is imperative to offer larger amount of observation data to improve the accuracy and efficiency of refined meteorological service products.Based on the precipitation data from hydrological and meteorological stations from July 2020 to June 2021, data stability, the correlation of the two types of data and key synoptic process cases are analyzed.It is found that the number of stable stations for hydrological precipitation data is 14000, equivalent to 1/3 of meteorological stations.The hydrological and meteorological precipitation data exhibit high spatial-temporal consistency, their correlation higher than 0.8.In addition, the case studies show that the integration of hydrological and meteorological precipitation data can effectively increase the density of rainfall stations, which can significantly improve the detection capability of heavy precipitation.The analysis reveals that the integration of two kinds of precipitation data sets can promote the development of meteorological services such as real-time revision of nowcasting, independent precipitation testing and severe weather services.