Abstract: In order to improve the hydrometeor types identification ability of S-band dual-polarimetric weather radar,the ambient temperature parameter considered as the recognition factor is introduced to improve the conventional fuzzy logic hydrometeor classification.Five measurements have been used as input variables to the algorithm,namely,horizontal reflectivity (Z_H),differential reflectivity (Z_DR),differential propagation phase shift (K_DP),correlation coefficient(ρ_hv (0)) and height transformed with temperature closely related to hydrometeor phase,by using the empirical formula.Beta function (β) is chosen as the membership function,and the membership function threshold of each parameter is given.On this basis,this paper takes a study about hydrometeor type identification using the domestic first S-band dual-polarization weather radar data and sounding temperature data.The results show that the results of hydrometeor type identification are more reasonable because of the introduction of ambient temperature parameter.The set of parameters threshold for hydrometeor classification are feasible.In addition,the results of hydrometeor type identification are basically in an agreement with the cloud microphysics evolution law,which can be used as a reference for further research.In general,it is still necessary to verify the identification results by accumulating radar data and measured data,to select suitable radar parameters,and to fix the membership function parameters for improving the accuracy of the hydrometeor type identification results.

Key words: S-band, Fuzzy logic method, Hydrometeor types identification