一次早春冰雹天气过程的双偏振相控阵雷达回波特征分析
Analysis of the Characteristics of X-Band Dual-Polarization and Phased-Array Weather Radar during a Hail Weather Process in Early Spring
摘要: 本文利用成都市X波段双偏振相控阵天气雷达资料，对2021年3月6日成都市一次局地冰雹天气过程进行了分析。结果表明，X波段双偏振相控阵天气雷达提供的高时空分辨率雷达产品能够更精细地展现冰雹天气的演变过程；小的ZDR值和高的强度Z对应的是纯冰雹区，一旦冰雹开始融化，ZDR的值也会随着融化而变大；利用模糊逻辑算法识别粒子相态的水凝物分类产品能够直观地给出冰雹云的垂直结构图，从而分析出冰雹的降落状态。雷达回波演变过程和雷达水凝物分类产品资料分析结合实况证明对流单体合并的尾声阶段开始降雹，且对流单体的合并区域是冰雹的主要落区。此外，早春的此次冰雹天气过程回波顶高最大值在5 km左右，有别于夏季的冰雹天气，需引起重视；垂直液态水含量(VIL)的跃增是降雹开始前的一个重要指征。
Abstract: Based on the data of X-band dual-polarization and phased-array weather radar in Chengdu, a local hail process on March 6, 2021 was analyzed. The results showed that the X-band dual-polarization and phased-array weather radar could show the evolution of the hail weather process more precisely. Low ZDR associated with high Z is a certain indication of dry hail. Once hail starts melting, ZDR increases as hail progressively melts. The hydrometeor classification product which uses the fuzzy logic algorithm to identify hydrometeor particles could give the vertical structure of hail clouds intuitively, and then we could get the falling state of hail. The evolution process of radar echo and the analysis of radar hydrometeor classification combining with the hail falling fact provided by the local weather modification workers proved that hail began to fall in the final stage of convective monomer merging, and the merging area of convection monomer was the main hail falling area. In addition, the maximum echo height of this hail process in early spring was about 5 km, which was different from the hail weather process in summer, so it needed more attention. The jump of vertical integrated liquid water content (VIL) was an important indication before the hailstorms began falling.
文章引用：刘艳, 张涛. 一次早春冰雹天气过程的双偏振相控阵雷达回波特征分析[J]. 地球科学前沿, 2021, 11(9): 1188-1194. https://doi.org/10.12677/AG.2021.119115

参考文献

[1] 沈世贤. 成都平原强对流天气的发生和移动规律[J]. 四川气象, 1998, 18(3): 20-21.
[2] 祁红彦, 刘立兵. 成都市冰雹的时空变化与地形特征分析[J]. 气象科技, 2015, 43(3): 503-505.
[3] 李金辉, 樊鹏. 冰雹云提前识别及预警的研究[J]. 南京气象学院学报, 2007, 30(1): 114-119.
[4] 段鹤, 严华生, 马学文, 等. 滇南冰雹的预报预警方法研究[J]. 气象, 2014, 40(2): 174-185.
[5] 张秉祥, 李国翠, 刘黎平, 等. 基于模糊逻辑的冰雹天气雷达识别算法[J]. 应用气象学报, 2014, 25(4): 415-426.
[6] Zrnic, D.S. (1987) Three-Body Scattering Produces Precipitation Signature of Special Diagnostic Value. Radio Science, 22, 76-86. [Google Scholar] [CrossRef] 
[7] 夏文梅, 王晓君, 孙康远, 等. V型缺口在C波段多普勒雷达中的应用研究[J]. 气象, 2016, 42(1): 67-73.
[8] 吴海英, 陈海山, 刘梅, 等. 长生命史超级单体结构特征与形成维持机制[J]. 气象, 2017, 43(2): 141-150.
[9] 王晓艺, 苏德斌. 基于X波段双线偏振雷达的冰雹云降水粒子识别研究[J]. 成都信息工程大学学报, 2018, 33(4): 383-390.
[10] 曹俊武, 刘黎平. 双线偏振多普勒天气雷达识别冰雹区方法研究[J]. 气象, 2006, 32(6): 13-19.
[11] 江慧远, 魏鸣, 张深涛, 等. 一次冬季冰雹的双偏振多普勒天气雷达回波分析[J]. 气象科学, 2019, 39(6): 755-762.
[12] 李春娥, 武麦风, 胡伟, 等. 一次春季冰雹天气过程中X波段双偏振雷达的特征分析[J]. 安徽农业科学, 2020, 48(15): 230-233.
[13] 毕力格, 苏立娟, 佟小林, 等. X波段双偏振雷达在冰雹和强降水天气识别中的初步应用[J]. 内蒙古气象, 2017(4): 27-31.
[14] 冯亮, 肖辉, 孙跃. X波段双偏振雷达水凝物粒子相态识别应用研究[J]. 气候与环境研究, 2018, 23(3): 366-386.
[15] 王勤. 成都春夏之交一次冰雹强对流天气过程分析[J]. 现代农业科技, 2019(24): 177-178, 184.
[16] Ryzhkov, A.V., Kumjian, M.R. and Ganson, S.M. (2013) Polarimetric Radar Characteristics of Melting Hail. Part I: Theoretical Simulations Using Spectral Microphysical Modeling. Journal of Applied Meteorology and Climatology, 52, 2849-2870. [Google Scholar] [CrossRef]