The Application Research On Regional Precipitable Water Vapor Inversion From GPS Data

The atmospheric precipitable water vapor(PWV) is a very important research object in many disciplines, however, the traditional means of water vapor detection has great limitations, this really affect our research and understanding of precipitable water vapor. The GPS atmospheric PWV inversion technology has been developing from the 1990s, using this new technology the PWV information can be obtained with high spatial and temporal resolution as well as high-precision, so it is a powerful complement to traditional means of PWV detection.In this paper, we do some research of the application on precipitable water vapor inversion with ground-based regional GPS network, describes the basic principles of ground-based GPS meteorology as well as associated GPS measurements and positioning, explore the selection of the scheme of zenith tropospheric delay solutions, do some research on the procedure and methods of the data solutions in GAMIT as well. Inverse the PWV variations during the typical rainstorm weather using ground-based GPS observation data, including the Beijing "7·21" heavy rainstorm and rainstorm in Changsha, after the comparison of accuracy between the Radiosonde/PWV and GPS/PWV. To prove that there is a good correlation between precipitable water vapor and rainfall.We managed to make use of the data of 26 IGS tracking stations in Europe of the year 2012, and get the relevant meteorological data of these stations. In this paper, we propose a method of calculating the PWV overlying these stations which not provide the Rinex-met-file. We calculating the time-varying zenith troposphere delay、precipitable water vapor and the mean PWV of each month overlying all 26 stations, on the basis of exploring the characteristics of the VMF1 troposphere mapping functions. Then we make accuracy analysis to both of the calculated ZTD and PWV. We draw the picture about the PWV distribution of European Continent with respect to each month of the year, after the gridding of the mean PWV data of each month overlying all stations; we analyze the regular pattern of the distribution and change of PWV in European Continent afterwards. We concluded that the regular pattern of the distribution and change of PWV is consistent with the distribution and characteristics of main climatic categories in European Continent.