浙江多源资料高空风对比分析  

Comparative Analysis of High Altitude Wind with Multi-source Data

作　　者：杨程 董美莹 陈锋 余贞寿 YANG Cheng;DONG Meiying;YU Zhenshou;CHEN Feng(l.Zhejiang Institute of Meteorological Science,Hangzhou 310008,China)

机构地区：[1]浙江省气象科学研究所,浙江杭州310008

出　　处：《沙漠与绿洲气象》2018年第4期74-81,共8页Desert and Oasis Meteorology

基　　金：国家公益性行业专项(GYHY201206006);国家自然科学基金(41375056);浙江省气象科技计划项目(2011ZD01;2014QN01;2017ZD16;2018YB10);电网公司科技项目(SGZJ0000KJJS600445)共同资助

摘　　要：使用浙江探空数据对EC再分析数据评估发现两者风场存在较好的相关性,可用EC再分析数据取代探空数据对风廓线数据进行评估。评估结果显示当无降水时,风廓线雷达数据与EC再分析数据相关系数在0.85～0.9之间;当有降水时,两类数据相关系数在0.7～0.8之间。统计结果还显示,无降水时风廓线雷达数据在中层2～4 km与EC再分析数据相对误差较小,在低层和高层由于相关资料的缺测造成相对误差较大。有降水时风廓线雷达数据与EC再分析数据相对误差随高度变化特征不明显。通过对台风个例的风力演变特征分析发现,雷达资料的时空完整性都比较好,相对探空数据可以观察到系统演变过程中更精细的风力结构。Using the sounding data in Zhejiang to evaluate the reanalysis data from European Centre for Medium-Range Weather Forecasts （abbreviated as EC reanalysis data）, it is found that there is a good correlation between the two wind fields, and the EC reanalysis data can be used to replace the sounding data and evaluate the wind profile radar data. The results show that the correlation coefficient between the wind profile radar data and the EC reanalysis data is around 0.85 to 0.9 without precipitation; while an outcome of 0.7 to 0.8 can be found with precipitation. Statistical results also show that the relative error of the wind profile radar data in the middle layer between 2 to 4 km is small compared with EC reanalysis data. However, a larger relative error can be seen in the low and high levels due to the lack of correlation data. In addition, the relative error of wind profiler radar data and EC reanalysis data is not obvious with height change of height during precipitation. After the analysis of the wind characteristics in a certain typhoon, it is found that the time and space integrity of radar data is better than sounding data ,which can be used to observe the accurate wind structure in the process of the system evolution.

关 键 词：风廓线雷达 探空数据 台风 

分 类 号：P425.7[天文地球—大气科学及气象学]