京津冀风廓线雷达组网资料评估及应用研究  

Evaluation and Application of Wind Profiler Network Data in the Beijing-Tianjin-Hebei Region

作　　者：李晓波 王颖[2] 庄庭 崔明 陈树成 Li Xiaobo;Wang Ying;Zhuang Ting;Cui Ming;Chen Shucheng(Tianjin Meteorological Observation Center,Tianjin 300061,China;Tianjin Meteorological Observatory,Tianjin 300074,China)

机构地区：[1]天津市气象探测中心,天津300061 [2]天津市气象台,天津300074

出　　处：《气象与环境科学》2024年第2期94-102,共9页Meteorological and Environmental Sciences

基　　金：环渤海区域科技协同创新基金项目(QYXM201908)。

摘　　要：基于2019年京津冀地区22部风廓线雷达逐小时产品数据,从资料收报率和50%有效数据获取率的探测高度两个角度分析了风廓线雷达探测能力,利用北京探空数据和NCEP1°×1°再分析资料对风廓线雷达水平风廓线数据进行了质量评估,并初步进行了组网资料应用。主要结论如下:(1)风廓线雷达50%有效数据获取率高度69月均能达到指标要求,表现为夏季探测高度高、冬季探测高度低的趋势,边界层风廓线雷达50%有效数据获取率的探测高度最高出现在7月,对流层风廓线雷达的最高出现在8月。(2)风廓线雷达数据和NCEP1°×1°水平风场资料的不同高度层u、v分量的均方根误差平均为3.59 m/s,平均绝对误差平均为2.53 m/s,相关系数平均为0.81,具有最高的可用性,而均方根误差和平均绝对误差从低层到高层整体表现为“增大”趋势。(3)通过风廓线观测资料组网分析,得到不同高度层水平风场、涡度场、散度场及垂直风场等物理量分析产品,并对2019年8月6日一次降雨过程初步进行了产品应用分析,结果显示,组网后的产品能够提供更加精细化的高时空分辨率的物理量分析图,可及时提供更为丰富的高空中尺度水平风场和垂直速度场,能够有效应用到强对流天气分析中。By using the hourly product data of 22 wind profile radars in the Beijing-Tianjin-Hebei region in 2019,this paper analyzes the detection capability of wind profile radar from the data receiving rate and the detection altitude of 50%effective acquisition rate.Besides,based on the Beijing radiosonde data and NCEP 1°×1°reanalysis data,the quality of horizontal and vertical wind profile data of wind profile radar is evaluated,and the application of network data is preliminarily carried out.The main conclusions are as follows:(1)The 50%effective data acquisition rate of wind profile radar can meet the indicator requirements from June to September,which shows the trend of high detection height in summer and low detection height in winter.The highest boundary layer wind profile appears in July and the highest tropospheric wind profile appears in August.(2)The average root mean square error of u and v components at different altitudes of wind profile radar data and NCEP1°×1°horizontal wind field data is 3.59 m/s,the average absolute error average is 2.53 m/s,and the average correlation coefficient is 0.81,which has the highest availability,while the overall performance of root mean square error and average absolute error is in an“increasing”trend from low level to high level.(3)Through analyzing the networking of wind profile observation data,the physical quantity analysis products such as horizontal wind field,vorticity field,divergence field and vertical wind field at different altitudes are obtained.Combined with a rainfall process on August 6,2019,the preliminary application analysis is carried out.The results show that the networked products can provide more refined physical quantity analysis diagrams with high temporal and spatial resolutions,and can also provide more abundant upper mesoscale horizontal wind field and vertical velocity field,which can be effectively applied to the analysis of severe convective weather.

关 键 词：风廓线雷达 资料评估 组网应用 

分 类 号：P412.25[天文地球—大气科学及气象学]