With the development of fusion technology of multiresource precipitation data, quantitative precipitation estimation (QPE) that combines satellite, radar and conventional meteorological data has got more mature. It has effectively made up the deficienties of low spatial and temporal resolution of conventional meteorological data and offered good opportunities for the application and development of the watershed area precipitation products. At the same time, the testing and the correction of suitability of QPE are the premise and basis for the application of watershed area precipitation. In the paper, based on hydrological precipitation data, statistictesting methods such as the threat score (TS), accuracy rate, falsepositives rate, falsenegatives rate, absolute bias, relative bias, root mean square error and the ROC curve are employed to evaluate the suitability of the QPE of National Meteorological Centre. The error spatial and temporal distribution, the series error in river basin and the quality of different scale precipitation are analyzed. Then, the decreasing average method is applied to optimize and correct the QPE which is based on the error statistics. The watershed area precipitation products are calculated based on the optimized QPE. Lastly, in the case of hydrological element forecast in Linyi Basin, the QPE area precipitation products are found good for the improvement of hydrological forecast. The studies indicate that developing QPE area precipitation products based on fusion technology of multiresource precipitation data can make up the deficiencies of refinement in statelevel forecasting operation of area precipitation and, enhance the technological capacity of statelevel hydrological meteorology.