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中国农学通报 ›› 2016, Vol. 32 ›› Issue (17): 129-136.doi: 10.11924/j.issn.1000-6850.casb15120023

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

安徽省GPS/MET水汽反演资料质量控制初步研究

谢 伟,王 根,温华洋,邱康俊   

  1. 安徽省气象信息中心,安徽省气象信息中心,安徽省气象信息中心,安徽省气象信息中心
  • 收稿日期:2015-12-04 修回日期:2016-05-26 接受日期:2015-12-24 出版日期:2016-06-20 发布日期:2016-06-20
  • 通讯作者: 王 根
  • 基金资助:
    安徽省气象局科技发展基金(KM201507,RC201506);淮河流域气象开放研究基金(HRM201407)。

Quality Control of GPS/MET Water Vapor Retrieval Data in Anhui Province

王 根, and   

  • Received:2015-12-04 Revised:2016-05-26 Accepted:2015-12-24 Online:2016-06-20 Published:2016-06-20

摘要: 本着提高安徽省GPS/MET水汽反演资料质量的宗旨,利用综合判别法开展了GPS/MET水汽反演资料质量控制。首先,对2011 年7 月—2014 年9 月GPS/MET水汽反演资料进行分析,形成该资料的界限值,作为综合判别法的第1 步;在第1 步的基础上采用偏差(GPS/MET水汽实际观测值与全球再分析GDAS计算可降水量值的偏差)阈值法进行资料的整体质量控制,作为第2 步;进一步对偏差较大月份的水汽资料采用双权重法进行质量控制,作为第3 步,并且初步给出了GPS/MET水汽反演资料与降水的序列关系,最终形成安徽省GPS/MET水汽反演资料质量控制后的数据集。利用GPS/MET观测系统水汽资料高精度、高时空分辨率的特点,研制的数据集以及相应的质量控制方法能够为后期的水汽资料同化和融合奠定基础。

关键词: 池塘, 池塘, 水环境, Chl a, SOM, 珠三角

Abstract: Aiming to improve the quality of GPS/MET water vapor retrieval data in Anhui Province, the quality control of GPS/MET water vapor retrieval data was carried out by using the comprehensive discrimination method. Firstly, the authors analyzed GPS/MET water vapor retrieval data from July 2011 to September 2014, formed the boundaries of the data value, as the first step of comprehensive discrimination analysis method. On the basis of the first step, the bias (GPS/MET water vapor actual observation value and global reanalysis GDAS calculated precipitation values deviation) threshold method to control the overall quality of the data was adopted as the second step, and the third step was to further conduct the quality control on large deviations in water vapor data by double weight method, and preliminarily obtained the sequence relationship of GPS/MET water vapor retrieval data and the precipitation, and ultimately formed the data sets of GPS/MET water vapor retrieval data quality control of Anhui Province. The development of data sets and the corresponding quality control method, which were based on the use of the GPS/MET observation system of water vapor data with characteristics of high precision and high spatial and temporal resolution, could lay a foundation for water vapor data assimilation fusion.

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