摘要
地基GPS可以适时准确地反演大气可降水含量,而常规气象观测站点一般具有长时期的历史观测数据。若将这两种数据融合,可以加强数值天气预报的准确性,因此需要探讨二者之间的相关性。通过处理2006年、2007年全球卫星导航服务组织(IGS)提供的武汉站地基GPS观测数据,计算武汉地区上空日平均水汽含量。利用一元和多元回归分析GPS遥感水汽与地面气象观测因子之间的关系,发现武汉地区GPS遥感水汽含量同包括气温、气压等在内的多种气象因子都有一定程度的相关性,其中与气温的相关性最大,且武汉地区上空的大气水汽含量的季节性变化大,在夏季其日平均变化十分明显。
As ground-based GPS measurements can detect Precipitable Water Vapor （PWV） with a high precision and proper time frequency. While normal meteorological observation sites usually have a long history of general observations. It is quite effective for integrating these two kinds of data in order to enhance the accuracy of numerical weather prediction. However, the correlation between them must be explored. In this research, the GPS neutral atmosphere zenith total delay data from 2006 to 2007 in Wuhan station provided by the Global Satellite Navigation Services Organization （IGS） were processed. And daily average Precipitable Water Vapor（PWV） were calculated. Unary regression model and multi factor line regression method had been used to analyze the relationship between the GPS derived PWV and ground-based meteorological factors. The results showed that, in Wuhan, GPS derived PWV had certain correlation with meteorological factors, such as temperature, pressure and so on, and the temperature was the most relevant. And the PWV in Wuhan had a distinct seasonal change. The daily change in summer was quite obvious.
出处
《地理与地理信息科学》
CSCD
北大核心
2012年第1期55-58,89,F0002,共6页
Geography and Geo-Information Science
基金
国家863计划资助项目"遥感软件体系架构及标准规范研究"(2007AA120203)
