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气象:2007,33(2):34-41
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加密自动站资料质量保障体系分析
(1.北京城市气象研究所, 北京 100089;2.国家气象中心)
Analysis of the Quality Assurance Procedures in Intensified Automatic Surface Weather Observation System
(1.Institute of Urban Meteorology,CMA,Beijing 100089;2.National Meteorological Center)
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投稿时间:2006-08-18    修订日期:2006-12-18
中文摘要: 加密自动站(IAWS)观测网随着我国观测系统的加强日趋完善,许多省市都有IAWS局域网。IA WS观测资料的应用也日益受到重视。但由于IAWS观测资料的特殊性,其质量问题不同程度地 阻碍了它的使用。为了促进我国IAWS观测资料质量保障体系的建立,首先通过对比IAWS 观测资料和以往的天气尺度常规地面人工站 (CMWS)观测资料的特点,分析了IAWS资料的特 殊性,然后从国际上IAWS观测资料质量保障体系的经验和方法着手,对IAWS观测资料和CMWS 观测资料质量保障体系的差别以及建立IAWS观测资料质量保障体系应注意的重点和问题进行 了分析。分析结果表明:IAWS观测资料质量保障体系不同于CMWS观测资料质量保障体系,应 特别重视观测业务管理体制建立和台站级自动质量控制、人工干预、监测评估等技术的应用 。
Abstract:The Intensified Automatic surface Weather observation System (IAWS) is becoming accomplished with the enhancement of the observation system in China. Local IAW S network has been set up in many areas and much attention has been paid to the application of IAWS data. Because of the special characteristic of IAWS, the appl ication is postponed by the problem of data quality in some degree. In order to facilitate the study on IAWS data Quality Assurance(QA) procedures in our countr y, three aspects are analyzed in this paper. First, the speciality of IAWS is analyzed by comparing the characteristics of IAWS data and Conventional Manu al surface eather observation System (CMWS) data.Second,the experiences of building up the IAWS QA procedure in other countries are introduced as reference. At las t, the differences are analyzed between the IAWS QA and CMWS QA, and the key as pects and problems are pointed out to be notified during the setup of IAWS QA. R esults show that the IAWS QA is different from CMWS QA in some aspects. More att ention should be paid in management of IAWS operation, the automatic quality co ntrol at station level, as well as manual quality control and quality monitoring .
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基金项目:本研究由北京城市气象研究所的城市气象科学研究基金(基金号:UMRF200 502)和国家自然科学基金(基金号:40505021)资助。
引用文本:
陶士伟,徐枝芳,2007.加密自动站资料质量保障体系分析[J].气象,33(2):34-41.
Tao shiwei,Xu Zhifang,2007.Analysis of the Quality Assurance Procedures in Intensified Automatic Surface Weather Observation System[J].Meteor Mon,33(2):34-41.