Hangzhou Xiasha SA weather radar adds sophisticated detection technology based on the dual polarization upgrade. In order to further improve the accuracy of radar quantitative precipitation estimation, this paper, referring to the hourly rain gauge data, corrects the radar precipitation estimation algorithm model. It establishes a model based on the realtime QPE rain intensity correction method for minutelevel rain gauge data (QPEADJUST method for short) and uses rain gauge data to correct the radar’s QPE data bodybybody scan in realtime. Accumulatively complete 1hour and 3hours precipitation estimation products, which improves the radar precipitation estimation accuracy. Through the evaluation of radar products and automatic station data, the precipitation estimation effect of the QPEADJUST method is statistically analyzed from three aspects: the precipitation estimation algorithm, the influence of the radar resolution and the influence of the body scan cycle speed. The results show that the QPEADJUST method is better in the temporal and spatial distribution of precipitation than other algorithms under the conditions of high radar resolution and fast body scanning period, and the reduced error of radar hourly quantitative precipitation estimation from 50% to 20%, which has high estimation accuracy and stability, and operation application value.