一次东北冷涡天气过程双偏振雷达降水粒子相态识别

本文利用双偏振天气雷达资料，对2019年6月7-9日辽宁地区一次东北冷涡强对流天气过程进行分析。分析了东北冷涡的演变过程以及双偏振雷达的偏振参量在降水粒子相态识别中的作用，研究了不同判别规则对模糊逻辑算法识别结果的影响。结果表明：双偏振雷达的偏振参量可以对水凝物的种类、空间分布、物理形态进行大致判断，但水凝物相态识别结果仍需细化。模糊逻辑算法在强回波区域的识别结果更准确，采用不同的判别规则得到的水凝物分类结果虽存在一定差异，但在大部分观测区域的分类结果基本一致，符合天气演变规律，能够为气象预报预警提供鉴别参考。具有广泛时间、空间适配性的模糊逻辑算法，仍需大量实测案例数据的验证与仿真。

Hydrometeors classification by Dual-polarization Radar in a cold Vortex Process over Northeast China

In this paper, the process of a northeast cold vortex severe convective weather in Liaoning region from June 7 to 9, 2019 is analyzed using s-band dual-polarization radar data. The evolution process of the northeast cold vortex and the effects of radar polarization parameters on phase state identification of precipitation particles are analyzed, and the effects of different discriminant rules on the recognition results of fuzzy logic algorithm are studied. The results show that the polarization parameters of dual-polarization radar can be used to roughly judge the species, spatial distribution and physical morphology of the hydrometeors, but the phase identification results of the hydrometeors still need to be refined. The recognition results of fuzzy logic algorithm are more accurate in strong echo area. Although there are some differences in the classification results of hydrometeors obtained by using different discriminant rules, the classification results are basically consistent in most observation region, which conforms to the law of weather evolution, and can provide identification reference for meteorological forecast and early warning. The fuzzy logic algorithms with wide temporal and spatial suitability still need to be verified and simulated by a large number of measured case data.