DocumentCode
3595803
Title
GPS water vapour estimation using meteorological data from Chinese Antarctic research stations
Author
Cheng, Xiao ; Zhang, Yanmei ; Dongchen ; Shao, Yun
Author_Institution
Inst. of Remote Sensing Appl., Chinese Acad. of Sci., Beijing, China
Volume
4
fYear
2003
Firstpage
2356
Abstract
This paper mainly discusses the research deducing atmospheric Precipitable Water Vapor (PWV) from tropospheric zenith wet delay using ground-based GPS receivers. China GreatWall and ZhongShan stations in Antarctica were taken as the researching sites. The data from SCAR Antarctic GPS Campaigns Epoch 1998/1999/2000 are used to construct the GPS analytical networks. A high-accuracy GPS processing software package-GAMIT/GLOBK is utilized; Multiple schemes are adopted. Two kinds of models, Saastamonien and Hopfield, are used to calculate the zenith hydrostatic delay. Before calculating the atmospheric Precipitable Water Vapor (PWV), we firstly use the long-term meteorological data of the two stations to calculate the conversion ratio-K, which is accommodated with the time period January and February of the two stations. After that wet zenith delay are transferred into PWV. In situ observed rainfall are combined to analyzing. Good results are achieved for all sessions and both stations.
Keywords
Global Positioning System; atmospheric humidity; AD 1998; AD 1999; AD 2000; Antarctic GPS Campaigns Epoch; China GreatWall Station; China ZhongShan station; Chinese Antarctic research stations; GAMIT/GLOBK software; GPS processing software package; GPS water vapour estimation; Hopfield model; Saastamonien model; atmospheric precipitable water vapor; global positioning system; ground based GPS receivers; meteorological data; tropospheric zenith wet delay; zenith hydrostatic delay; Antarctica; Atmosphere; Atmospheric modeling; Global Positioning System; Meteorology; Pressure measurement; Propagation delay; Remote sensing; Satellite broadcasting; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1294440
Filename
1294440
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