APPLICATION OF GPS TECHNOLOGY TO METEOROLOGY IN ANTARCTIC
Gang Chen
Abstract
Gang Chen
Abstract
This paper mainly discusses how to deduce the atmospheric Precipitable Water Vapor (PWV) from tropospheric zenith wet delay using ground based GPS receivers. The data from SCAR Epoch 1998/1999/2000 Antarctic GPS Campaigns are used to construct the GPS analytical networks. A high accuracy GPS processing software package--GAMIT/GLOBK is utilized; Multiple schemes are adopted and we got the tropospheric zenith all delay. Two kinds of models, Saastamonien and Hopfield, are used to calculate the zenith dry delay. Before calculating the atmospheric Precipitable Water Vapor (PWV), we firstly use the long term meteorological data of the two stations to calculate the K value, which is accommodated with the time January and February of the two stations. After that wet zenith delay is calculated into PWV, and field meteorologic data are combined to analyzing. Good results are achieved for all sessions and stations.
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This paper mainly discusses how to deduce the atmospheric Precipitable Water Vapor (PWV) from tropospheric zenith wet delay using ground based GPS receivers. The data from SCAR Epoch 1998/1999/2000 Antarctic GPS Campaigns are used to construct the GPS analytical networks. A high accuracy GPS processing software package--GAMIT/GLOBK is utilized; Multiple schemes are adopted and we got the tropospheric zenith all delay. Two kinds of models, Saastamonien and Hopfield, are used to calculate the zenith dry delay. Before calculating the atmospheric Precipitable Water Vapor (PWV), we firstly use the long term meteorological data of the two stations to calculate the K value, which is accommodated with the time January and February of the two stations. After that wet zenith delay is calculated into PWV, and field meteorologic data are combined to analyzing. Good results are achieved for all sessions and stations.
Key concepts: Zenith, Global Positioning System, Troposphere, Precipitable water, Meteorology, Radiosonde, Environmental science, Remote sensing