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People change and spatial distribution of water vapor time understanding often affected by the conventional atmospheric water vapor detection means greatly restricted spatial and temporal resolution , the lack of water vapor information particularly disastrous weather forecast rainstorm short-term nowcasting have a great impact , but also limits the accuracy of the numerical weather forecast precipitation . Therefore , the weather forecast is how to use the new technology means accurate measurements of atmospheric water vapor content , is a question worth exploring . GPS technology for detection of atmospheric water vapor provides a whole new way , it has the advantages of high precision , low cost , real-time , continuous , independent of weather conditions , etc. , is a supplement of the traditional means of atmospheric water vapor observations . In this thesis, the theory of atmospheric precipitation measured based on the the CORS system 's data , methods, and error analysis , and data processing and the calculation results of the analysis , the most important of this article , and by the analysis of the results obtained useful conclusions . The main content of the study are: on the home and abroad CORS system dynamic , ground-based GPS meteorology technology , as well as domestic and foreign research dynamic . 2 , the importance of the water vapor monitoring , traditional detection means as well as the lack of atmospheric water vapor , highlights the ground-based GPS detection characteristics and advantages of the atmospheric water vapor , and GPS inversion of atmospheric water vapor content of the process discussed . 3 on the basics of atmospheric refraction , the refractive index of the troposphere model troposphere the refraction model as well as the mapping function . 4, of the various errors in the ground-based GPS data detection of atmospheric water vapor content of the process were analyzed. 5 , this article is a focus of the weighted average temperature Bureau , Kunming 2008 radiosonde data , statistical methods , the establishment of a linear regression equation , and its precision analysis . In addition , the applicability of Bevis empirical formula . This article another focus system data KMCORS to , then add domestic IGS station data , preliminary test of the atmospheric water vapor content determination process to get the tropospheric delay , their results and the accuracy of the analysis .
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