[Purpose] To evaluate the results of dual polarization radar partical identification, [Method] this article uses a particle phase identifiction algorithm based on fuzzy logic to compare the identification results with the results of radar PUP particle identification products. Combining the results of six ground precipitation phenomenon instrument, a method using TS score to verify the reliability of the two identification results is proposed. And select one case of precipitation, snow and hail for analysis and verification. [Result] The results show that both methods can better reflect the precipitation process. In May, the accuracy of 5 stations reached over 70%, and the accuracy of 5 stations PUP particle recognition products was about 1% higher than that of fuzzy logic algorithm particle identification products. For winter precipitation, PUP particle identification products can easily identify the precipitation process as a snow process. Both products can effectively identify the snow process. For the hail process, the PUP particle identification product can better recognize it, while the fuzzy logic algorithm is easy to recognize hail as graupel particles. [Conclusion] This article can effectively evaluate the result of dual polarization radar particle phase identification and apple to precipitation, snow and hail process.