基于S波段双线偏振天气雷达的降水粒子相态识别

为提高S波段双线偏振天气雷达的降水粒子识别能力，在常规模糊逻辑法相态识别算法的基础上，引入环境温度参量作为识别因子对算法进行了改进。选取雷达水平反射率因子Z_H、差分反射率因子Z_dr、差分传播相位常数K_dp、零阶相关系数ρ_hv（0）、以及利用经验公式，将与粒子相态密切相关的温度转化而来的高度作为算法的5个输入参量，确立β函数作为隶属函数，并给出了各个参量的隶属函数阈值。在此基础上，利用国内首部S波段双偏振天气雷达资料和探空温度资料，对云中粒子相态进行了识别研究。结果表明：引入环境温度参量可使粒子识别算法的识别结果更加合理；选取的模糊函数参数阈值较为合理，降水粒子识别结果符合云微物理演变的基本规律，可以作为进一步研究的参考；提高粒子相态识别结果的准确性，还依赖于雷达和粒子实测数据的积累，从而验证识别结果、选取合适的雷达参量、修正隶属函数参数。

Identification of hydrometeors based on S-band dual-polarimetric radar measurement

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.