Title: Regression Analysis between GPS PWV and MODIS PWV
Abstract:As one of important space remote sensing technology,GPS can provide high-precision values of atmospheric water vapor.Especially with the widespread establishment of ground-based GPS system,GPS water v...As one of important space remote sensing technology,GPS can provide high-precision values of atmospheric water vapor.Especially with the widespread establishment of ground-based GPS system,GPS water vapor has became one of main data sources for weather forecasting.But GPS observations can only provide water vapor values on discrete points.However,MODIS can provide continuous change information of water vapor in space.But there are some errors in the inversion of MODIS water vapor,which leads that its accuracy can not meet the requirements of weather forecasting.So it is very important and necessary to study the integration of these two kinds remote-sensing water vapor.For this problem,the regression relationship between MODIS PWV and GPS PWV has been studied with the GPS observation data,ground meteorological data and corresponding MODIS data.Considering the seasonal variations of water vapor,the regression model between MODIS PWV and GPS PWV has been established.The direct correction model of MODIS water vapor has also been established at the same time.So reference values for the integration study of GPS and MODIS water vapor are provided in this paper.Meanwhile,the ratio GPS zenith wet delay to GPS precipitable water vapour has been identified in Xi′an form a number of empirical models,which shall be taken as 6.52 in winter and 6.00 in summer.Read More
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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Cited By Count: 1
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