Abstract: In this paper, a quality control algorithm of S-band dual polarization weather radar is proposed in order to solve the data quality problem of S-band weather radar in Liaoning province. The algorithm included five parts: initial azimuth consistency revision, non-standard blockage revision, ground clutter recognition, threshold control and clutter elimination. Based on the S-band dual polarization weather radar data under different weather processes in Yingkou region, the distribution characteristics of reflectivity level texture, correlation coefficient variance, differential reflectivity variance and differential propagation phase shift variance corresponding to feature clutter in Liaoning area were statistically characterized, the localization parameters corresponding to the fuzzy logic clutter recognition algorithm are established. The quality control algorithm was verified by using the radar base data during three severe convective weather events (August 19, 2021;June 9, 2019;June 25, 2022) in Liaoning province. The results show that the algorithm has less loss of meteorological echoes. It can improve the quality of S-band radar data, effectively revise the non-standard obscuration during the weather process, eliminate the non-meteorological echoes such as ground clutter and electromagnetic interference. The study can provide a reference for the monitoring of the S-band dual-polarization radar quality control technique in the strong convective weather.