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加密自动气象站雨量计资料的质量控制 及其相关关系的研究
引用本文:刘雨佳,陈洪滨,金德镇,齐彦斌,崔莲.加密自动气象站雨量计资料的质量控制 及其相关关系的研究[J].大气科学,2014,38(1):159-170.
作者姓名:刘雨佳  陈洪滨  金德镇  齐彦斌  崔莲
作者单位:中国科学院大气物理研究所中层大气与全球环境探测重点实验室, 北京100029;中国科学院大学, 北京100049;中国科学院大气物理研究所中层大气与全球环境探测重点实验室, 北京100029;吉林省人工影响天气办公室, 长春130062;吉林省人工影响天气办公室, 长春130062;吉林省人工影响天气办公室, 长春130062
基金项目:公益性行业(气象)科研专项项目GYHY201106046;国家自然科学基金40975001
摘    要:在长春—四平地区100 km×100 km的范围内,分布有平均间隔10 km左右的147个自动气象站。结合该区域雷达回波强度资料,对2007~2011年4~10月的气象站雨量计小时降水数据进行质量控制。多步骤质量控制结果显示,有141个自动站雨量计的数据通过了检查,删除了6个错误站点的数据,对有疑问时段的数据作了标记。 利用质量控制后的5年夏季半年自动站雨量计小时降水数据,进行相关关系统计分析表明:距离在10 km以内的雨量计测量,平均相关系数均能达到0.6以上;雨量计距离小于5 km,平均相关系数在0.7以上;而站点距离超过20 km,相关系数普遍降到0.4以下;随着统计时间的增长(从分钟到月降水量),每个雨量计的测量值具有更高的空间代表性。

关 键 词:雨量计  质量控制  相关系数  空间代表性
收稿时间:2013/1/22 0:00:00
修稿时间:6/3/2013 12:00:00 AM

Quality Control and Representativeness of Automatic Weather Station Rain Gauge Data
LIU Yuji,CHEN Hongbin,JIN Dezhen,QI Yanbin and CUI Lian.Quality Control and Representativeness of Automatic Weather Station Rain Gauge Data[J].Chinese Journal of Atmospheric Sciences,2014,38(1):159-170.
Authors:LIU Yuji  CHEN Hongbin  JIN Dezhen  QI Yanbin and CUI Lian
Affiliation:Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;University of Chinese Academy of Sciences, Beijing 100049;Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;Bureau of Jilin Weather Modification, Changchun 130062;Bureau of Jilin Weather Modification, Changchun 130062;Bureau of Jilin Weather Modification, Changchun 130062
Abstract:147 automatic weather stations (AWS) were deployed in 2006 over an area of about 100 km×100 km between Changchun and Siping in Jilin Province. We performed quality control (QC) of the hourly precipitation data from the densely distributed AWS rain gauges for April to October in 2007-2011. After four QC evaluations and a comparison with reflectivity data from C-band weather data in Changchun, data from six gauges were removed and questionable data from several sites were marked but kept for future use. Rain gauge data correlations were calculated after the QC. The results show that the averaged correlation coefficient (CC) is about 0.6 when the distance between gauges is less than 10 km and up to 0.7 or higher when the distance is less than 5 km. CC generally decreases to less than 0.4 when the distance exceeds 20 km. Furthermore, the spatial representativeness of measurements from a single rain gauge increases when the statistical time scale changes from minutes to months.
Keywords:Rain gauge  Quality control  Correlation  Spatial representativeness
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