任芝花,刘小宁,杨文霞. 2005. 极端异常气象资料的综合性质量控制与分析[J]. 气象学报, 63(4):526-533, doi:10.11676/qxxb2005.052
极端异常气象资料的综合性质量控制与分析
COMPLEX QUALITY CONTROL AND ANALYSIS OF EXTREMELY ABNORMAL METEOROLOGICAL DATA
投稿时间:2004-05-11  修订日期:2005-01-10
DOI:10.11676/qxxb2005.052
中文关键词:  综合性质量控制,控制界限,极端异常气象资料,极端天气气候事件
英文关键词:Complex quality control, Control threshold limit,Extremely abnormal meteorological data, Extreme weather or climate event.
基金项目:科技部2002DEA30041-07课题与中国气象局30年整编续建项目
作者单位
任芝花 国家气象信息中心北京100081 
刘小宁 国家气象信息中心北京100081 
杨文霞 河北省气象局石家庄050021 
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中文摘要:
      在传统的气象资料质量控制技术中,通常利用统计方法设置控制界限,对于界限 以外的资料作为可疑值被标注或作为错误值而被剔除。文中以中国1971~2000年700多基准 基本站中,气温极端事件——青海托托河站1985年10月~1986年3月的极端异常月平均气温为例,介绍了极端异常气象资料的综合性质量控制方法。通过综合性质量控制与分析,即参 考Metadata、邻近站检验、不同观测项目间的一致性检查,均证明托托河站1985年10月~1986年3月极端异常月平均气温资料是正确的。从而说明,利用界限控制检查出的所谓错误资料,虽然在统计学意义上很难出现,但是它有可能反映了异常极端的天气气候事件,是正确的。因此,对于极端异常的气象资料,应进一步通过综合性质量控制,分析该资料正确与否 ,从而保留极端天气气候事件的事实。文中最后介绍了中国1971~2000年700多基准基本站极端异常月平均气温资料的综合性质量检查结果。
英文摘要:
      In the traditional quality control of meteorological data, it is using statisti cal method to set up control threshold limit. The data regarded as suspect data is usually labeled or regarded as gross data to be deleted if it is outside the controlled threshold. The monthly mean air temperature data of Tuotuo River Stat ion in Qinghai province from October 1985 to March 1986 is the most extremely abnormal one of base stations from 1971 to 2000 in China. As an illustration, complex quality control and analysis method of extremely abnormal meteorological data is presented which perhaps reflects extreme weather event or extreme climat e event. By utilizing complex quality control method,namely consulting Metadata , surrounding stations tests and consistency checks between various observationa l programs, the extreme monthly mean air temperature data of Tuotuo River Statio n from October 1985 to March 1986 is proved to be correct. It reflects the extre me climate event. Thereby, it can be conclude that the so called gross data out side the controlled area perhaps reflects extremely abnormal weather or climate event and is probably correct, though it can hardly come forth according to stat istical probability. So the more advanced analysis to extremely abnormal meteoro logical data should be carried out by complex quality control method in order to retain the fact of extreme weather or climate event. In the end, it is presente d the complex quality control results about the extremely abnormal monthly mean air temperature data of base stations in China from 1971 to 2000.
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