Evaluation and Application of Wind Profiler Network Data in the Beijing-Tianjin-Hebei Region
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 pro-file radar is evaluated,and the application of network data is preliminarily carried out.The main conclu-sions are as follows:(1)The 50％effective data acquisition rate of wind profile radar can meet the indi-cator 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 compo-nents 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 networ-king 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.
wind Profiler Radardata assessmentapplication of networking
万方数据
维普
