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基于多普勒测风激光雷达的低空急流观测研究
引用本文:马秋杰,李珍妮,宋小全,吴松华,李荣忠,涂爱琴. 基于多普勒测风激光雷达的低空急流观测研究[J]. 山东气象, 2019, 39(4): 61-67
作者姓名:马秋杰  李珍妮  宋小全  吴松华  李荣忠  涂爱琴
作者单位:(1. 中国海洋大学信息科学与工程学院海洋技术系,山东 青岛 266100;2. 青岛海洋科学与技术试点国家实验室区域海洋动力学与数值模拟功能实验室,山东 青岛 266237;3. 青岛镭测创芯科技有限公司,山东 青岛 266101;4. 山东省气象局大气探测技术保障中心,山东 济南 250031)
基金项目:国家重点研发计划项目(2018YFC0213101);国家自然科学基金项目(41375016,41471309)
摘    要:基于相干多普勒测风激光雷达于2018年8月在山东德州获取的为期一个月的风廓线观测数据,进行了低空急流的判定、识别与统计分析。参考BONNER对低空急流的判定标准,对1 500 m高度以下的每10 min平均风廓线数据进行低空急流识别与统计,急流发生频率仅为3.6%。参考张世丰对低空急流的判定标准,统计了350 m高度以下10 min平均风廓线的低空急流风速、高度、风向及风切变等结构特征。急流发生频率为24.9%,急流速度主要介于6~10 m·s-1之间,急流高度出现3个峰值,分别位于110 m、160 m和220 m左右,急流风向主要为偏东风和偏南风。结果表明,多普勒激光雷达可以获取高时空分辨率的风廓线数据,进而可以有效检测低空急流结构的存在及其特征。

关 键 词:低空急流;多普勒激光雷达;风廓线;大气边界层
收稿时间:2019-08-05
修稿时间:2019-11-11

Observational study of low-level jet based on Doppler wind lidar
MA Qiujie,LI Zhenni,SONG Xiaoquan,WU Songhu,LI Rongzhong,TU Aiqin. Observational study of low-level jet based on Doppler wind lidar[J]. Journal of Shandong Meteorology, 2019, 39(4): 61-67
Authors:MA Qiujie  LI Zhenni  SONG Xiaoquan  WU Songhu  LI Rongzhong  TU Aiqin
Affiliation:(1. Department of Marine Technology in College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China; 2. Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China; 3. Qingdao Leice Transient Technology Co., Ltd., Qingdao 266101, China; 4. Atmospheric Sounding and Technical Support Center of Shandong Meteorological Bureau, Jinan 250031, China)
Abstract:Based on the wind field observations with the coherent Doppler wind lidar in August 2018 in Dezhou, Shandong, low-level jets (LLJs) are judged, identified, and statistically analyzed. The LLJ identification and statistics are conducted using 10-min averaged wind profile data below 1 500 m based on BONNER''s criteria for judging LLJ and the frequency of LLJ is 3.6%. With reference to ZHANG Shifeng''s criteria for judging LLJ, the speed, height, direction, and shear of LLJ are calculated using 10-min averaged wind profile below 350 m and the occurrence frequency reaches 24.9%. The jet speed is mainly between 6 and 10 m·s-1 and wind directions are mainly easterly and southerly. There are three peaks of jet height, which are located at about 110 m, 160 m and 220 m. It shows that Doppler wind lidar can effectively get wind profile data of high spatial resolution and thus detect the existence and characteristics of LLJ.
Keywords:low-level jet   Doppler lidar   wind profile   atmospheric boundary layer
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