Abstract: This paper uses station-observed data as the observation field, uses multi-source merged grid data and GPM-IMERG precipitation products as the evaluation field to calculate the temporal as well as spatial skill within Sichuan Province. This paper also compares applicability of several dataset in describing the features of heavy precipitation. The results show that during most of the 2019 summer time, the spatial scores of merged precipitation data are relatively stable. In the northwestern and southern marginal areas of the basin, temporal skill of the three datasets are better than other areas in Sichuan Province, but the temporal skill of GPM-IMERG products in the cloudy area of the basin are lower than the merged grid data. From the description of the heavy precipitation frequency, the spatial distribution of the merged grid data is most similar to observation field. But the frequency of heavy precipitation reflected by merged data is smaller than the observation field, while the GPM-IMERG product is larger. From the description of precipitation value, the merged grid data is smaller to the observation field, while the GPM-IMERG product is larger than observation field.