摘要
给出了顾及GPS双差残差反演斜路径水汽SWV的解算流程;然后详细给出了双差残差到非差残差的转化算法,并对算法进行了改进;最后利用并址的GPS和WVR实测数据对反演SWV算法进行了验证,结果证实改进的反演算法能以优于4 mm精度近实时估算SWV值,与目前国际研究精度在同一量级。
Many experiments have shown that zenith integrated precipitable water vapor （PWV） can be readily obtained with better than 2 mm absolute accuracy using GPS instruments. However, PWV measurements do not provide any information on the spatial distribution of water vapor. The measurements of slant precipitable water vapor （SWV） along each path contain much information which has the potential to be useful for numerical weath- er prediction. In order to get precise SWV, firstly the principle of remote sensing of SWV and computed diagram are described; secondly improved algorithm of converting double- differenced residuals to zeroifferenced residuals is developed; finally a real example is given to demonstrate the algorithm involved using GPS and WVR data at one site. It is shown that the improved algorithm can be used to estimate SWV and the root-mean square error is less than 4mm between GPS and SWV. The accurately estimated SWV can be used to retrieve the three dimensional information of water vapor which is useful for numerical weather prediction, geodetic surveying and interferometer synthetic aperture radar （InSAR）.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2009年第1期100-104,共5页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40575011,40604002)
国家863计划资助项目(2006AA12Z123)
中国气象局武汉暴雨研究所开放研究基金资助项目(IHR2006K02)
关键词
双差残差
非差残差
天顶可降水量
斜路径延迟
double-differenced residuals
zero differenced residuals
perceptible water vapor
