| 郑石,王冠,关健华,康博识,黄兴友.一次强降水过程TWP16风廓线雷达资料分析[J].装备环境工程,2021,18(12):116-127. ZHANG Shi,WANG Guan,GUAN Jian-hua,KANG Bo-shi,HUANG Xing-you.Analysis of TWP16 Wind Profile Radar Data during the Heavy Precipitation[J].Equipment Environmental Engineering,2021,18(12):116-127. |
| 一次强降水过程TWP16风廓线雷达资料分析 |
| Analysis of TWP16 Wind Profile Radar Data during the Heavy Precipitation |
| 投稿时间：2021-07-07 修订日期：2021-08-22 |
| DOI：10.7643/issn.1672-9242.2021.12.018 |
| 中文关键词: 风廓线雷达 强降水 特征分析中图分类号:P412.25 文献标识码:A 文章编号:1672-9242(2021)12-0116-012 |
| 英文关键词:wind profile radar heavy precipitation feature analysis |
| 基金项目:中国气象局沈阳大气环境研究所和东北冷涡重点开放实验室联合开放基金项目(2020SYIAE03)；国家自然科学基金(40775029)；辽宁省气象局科研项目(BA201905) |
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| Author | Institution |
| ZHANG Shi | Shenyang Institute of Atmospheric Environment, CMA, Shenyang 110166, China;Liaoning Meteorological Equipment Support Center, Shenyang 110166, China |
| WANG Guan | Liaoning Branch, Training Institute for Meteorological Cadres, CMA, Shenyang 110166, China |
| GUAN Jian-hua | Liaoning Provincial Meteorological Service Center, Shenyang 110166, China |
| KANG Bo-shi | Liaoning Meteorological Equipment Support Center, Shenyang 110166, China |
| HUANG Xing-you | Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China;Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China |
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| 中文摘要: |
| 利用TWP16风廓线雷达资料，对2019年8月10—15日“利奇马”台风在辽宁盘锦登陆引发的强降水天气过程进行诊断分析。结果表明，风廓线雷达资料从时间和空间上能准确清晰地对这次强降水的天气系统变化过程进行连续监测。对流层中下层径向速度大于9 m/s(极值为11.2 m/s)、SNR大于55 dB(极值为70 dB)、Cn2大于1.0×10–10、速度谱宽大于2.5 m/s是强降水发生发展阶段，整个大气层垂直风场运动与降水过程有着较好的对应关系。对流中下层垂直下沉速度数值越大，降水越强，SNR能够很好地揭示强降水发生、发展、结束时雷达接收到目标散射信号的强弱，Cn2最大值1.0×10–10出现的最大探测高度和持续时间与降水有密切的关系。降雨不同高度层内，速度谱宽与其降雨量存在着显著的线性关系，即降雨强度越强，速度谱宽数值越大，反之利用速度谱宽的变化趋势可以得到降水强的变化趋势。研究结果揭示了风廓线雷达水平风廓线、径向速度、SNR、速度谱宽与降雨强度之间的内在联系，为风廓线雷达应用在降雨天气监测提供了参考。 |
| 英文摘要: |
| Based on TWP16 wind profile radar data, this paper diagnoses and analyzes the weather process of heavy precipitation caused by Typhoon Lekima landing in Panjin, Liaoning from August 10 to August 15 in 2019. The results show that the wind profile radar data can accurately and clearly monitor the weather system change process of this heavy rainfall continuously in time and space. The radial velocity in the middle and lower troposphere is greater than 9 m/s (the extreme value is 11.2 m/s), SNR is greater than 55 dB (the extreme value is 70 dB), Cn2 is greater than 1.0×10–10, and the velocity spectrum width is greater than 2.5 m/s. The vertical wind field movement in the whole atmosphere has a good correspondence with the precipitation process. The larger the value of vertical sinking velocity in the middle and lower layers of convection, the stronger the precipitation. SNR can well reveal the signal intensity of target scattering received by radar at the occurrence, development and end of heavy precipitation. The maximum detection height and duration with the maximum value 1.0×10–10 of Cn2 are closely related to precipitation. There is a significant linear relationship between the velocity spectrum width in different rainfall height layers and the rainfall, that is, the stronger the rainfall intensity, the larger the value of velocity spectrum width. On the contrary, the variation trend of rainfall intensity can be obtained through the variation trend of velocity spectrum width. The results reveal the internal relations among horizontal wind profile, radial velocity, SNR, velocity spectrum width and rainfall intensity of wind profile radar, and provide reference for the application of wind profile radar in rainfall weather monitoring. |
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