摘要
针对隆德站地基微波辐射计温度资料,根据数据本身规律及各类疑误数据表现形式,结合历史探空资料,利用垂直变化强度极值检查、标准差检查、极值检查、奇异值检查和僵值检查5种检查方法进行质量控制实验,与同期探空资料比对,分析其应用效果。结果表明:各质量检查结果对数据质量均有一定的区分能力,且对控制参数是敏感的;数据质量以晴空最优、云天次之、降水稍差,各高度层数据质量基本相当。质量控制结果相关性分析表明各高度层上晴空相关性最好,云天次之,降水稍差,相关性都处在较高的水平上;降水情况下质量控制效果最显著。
The quality control of meteorological data is a very important work in the processing of meteorological data,because the microwave radiation products are unconventional meteorological observation data,so the method of quality control for conventional meteorological observation data is not fully applicable to microwave radiometer.In order to study the quality control method on the temperature data by RPG-HATPRO-G4 type ground-based multichannel microwave radiometer and provide technical support for effective use of temperature data,this paper proposes five methods according to the rules of data itself and various types of the wrong data using the temperature data collected by RPG-HATPRO-G4 type ground-based multichannel microwave radiometer at Longde Station,Ningxia Province,China,combined with the 5-year historical sounding data from Pingliang Station,Gansu Province,China which is 49 kilometers far from the Longde Station.The five methods include extreme value check of vertical change intensity,standard deviation check of vertical change intensity,extreme value check,singular value check and invariable value check.They are further combined into three types:comprehensive check of vertical consistency,extreme value check and comprehensive check of time consistency.And then the combination check and weighted check results are given by synthesizing the three types of check results.Finally,in order to analyze the effect of these methods,we applied these methods to the collected data and compared the results with the sounding data in the same period. The results show that the data quality in the case of clear weather is better than that in the case of cloud and precipitation weather,and the data in the cloud weather is better than that in the precipitation weather.For the abovementioned 3 weather conditions,the data portion of high quality accounts for 97.86%,97.83% and 84.21% of their corresponding overall data respectively.The data quality at each layer is basically equal,the data of poor quality are mostly contribut
作者
孙艳桥
汤达章
桑建人
王洋
吕晶晶
田磊
SUN Yan-qiao;TANG Da-zhang;SANG Jian-ren;WANG Yang;LYU Jing-jing;TIAN Lei(College of Atmospheric Sciences,Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu,China;Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions,Yinchuan 750002,Ningxia,China;Ningxia Key Laboratory of Meteorological Disaster Prevention and Reduction,Yinchuan 750002,Ningxia,China;Pingliang Meteorological Bureau,Pingliang 744000,Gansu,China;School of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu,China)
出处
《干旱区地理》
CSCD
北大核心
2019年第6期1282-1290,共9页
Arid Land Geography
基金
国家自然科学基金项目(41775139)
宁夏自然科学基金(NZ17232)
宁夏回族自治区重点研发计划(2019BEG03001)共同资助
关键词
地基微波辐射计
温度
探空
质量控制
ground-based microwave radiometer
temperature
sounding data
quality control
