面向CRA的中国风廓线雷达小时产品质量控制算法与评估  

A Quality Control Algorithm and Evaluation of Hourly Data of China’s Wind Profilers for CRA

作　　者：王蕙莹[1] 周自江[1] 廖捷[1] 远芳[1] 刘雨佳[1] WANG Huiying;ZHOU Zijiang;LIAO Jie;YUAN Fang;LIU Yujia(National Meteorological Information Centre,Beijing 100081)

机构地区：[1]国家气象信息中心,北京100081

出　　处：《气象》2021年第5期573-585,共13页Meteorological Monthly

基　　金：国家重点研发计划(2017YFC1501801);国家气象科技创新工程(CMAGGTD003-5)共同资助。

摘　　要：面向中国第一代全球大气/陆面再分析产品(CRA)的应用需求,针对中国风廓线雷达小时产品资料特点,在美国NCEP风廓线综合质量控制方法的基础上,提出一套适用于中国风廓线雷达逐小时水平风产品的质量控制方法。通过对比质量控制前后风廓线雷达资料与探空资料的相关系数、平均偏差及均方根误差,证明了质量控制方案的有效性。以ERA-Interim资料作为间接参考场,通过比较探空资料与不同型号、不同探测高度范围、不同观测时段、不同垂直层次风廓线雷达资料相对ERA-Interim再分析资料的偏差,分析了质量控制前后中国风廓线雷达资料的整体质量。结果表明,经该算法质量控制后,风廓线雷达与探空风场表现出了更好的一致性。不同雷达型号、不同探测高度资料的相关系数从0.17~0.82上升至0.79~0.98。在相对ERA-Interim与探空资料的偏差方面,质量控制后,除边界层风廓线雷达的u风分量在300 hPa以上仍有5 m·s^(-1)左右的偏差外,其他型号雷达的u、v风分量在各垂直层的平均偏差均在3 m·s^(-1)以内,证明质量控制算法具有识别高层粗大误差数据的能力,能够使最大探测高度以上的数据得到有效利用。This paper describes a quality control(QC)algorithm for hourly horizontal wind products of Chinese wind profilers.The QC algorithm is based on the complex QC system of NCEP,is designed for the requirements of CMA global atmospheric/land surface reanalysis product(CRA).The effectiveness of the QC algorithm is checked by comparing the correlation coefficient,average bias and root mean square error of wind profiler data and radiosonde data before and after QC procedures.The deviations from ERA-Interim reanalysis data are calculated for both radiosonde and wind profiler data.Through comparing wind profiler deviations with radiosonde deviations,the overall quality conditions of Chinese wind profiler data before and after QC procedures are analyzed.The results show that the wind profiler data and the radiosonde data show better consistency after the QC by this QC algorithm,and the correlation coefficients of different radar types and different detection altitudes increase from the range 0.17-0.82 to the range 0.79-0.98.For different radar types and different vertical layers,all the biases of horizontal profiler wind data from ERA-Interim exhibit a dramatic decrease after the QC procedures and are nearly equivalent to that of radiosonde data,except that the data from boundary layer wind profiler radar still has a deviation of u-wind component about 5 m·s^(-1) above 300 hPa.The results prove that the QC algorithm has the ability to identify the high-level gross error data,and can make effective use of the data above the maximum detection height.

关 键 词：风廓线雷达 质量控制 水平风产品 质量评估 

分 类 号：P413[天文地球—大气科学及气象学]