DocumentCode :
1444185
Title :
Tomography of the lower troposphere using a small dense network of GPS receivers
Author :
Flores, Alejandro ; De Arellano, Jordi Vilà-Guerau ; Gradinarsky, Lubomir P. ; Rius, Antonio
Author_Institution :
Inst. d´´Estudis Espacials de Catalunya, Barcelona, Spain
Volume :
39
Issue :
2
fYear :
2001
fDate :
2/1/2001 12:00:00 AM
Firstpage :
439
Lastpage :
447
Abstract :
The application of tomographic techniques to the troposphere with GPS signals was demonstrated in previous work using data from the Kilauea permanent network, Hawaii. Local orography of the network considered there, however, played a key role in the resolution capabilities of the technique. The authors explore the possibilities of tomographic reconstruction of the four-dimensional (4D) structure of water vapor using a very small network of global positioning satellite (GPS) receivers with virtually no height differences between the stations. The analyzed campaign consisted of seven GPS receivers located at the Onsala Space Observatory, Onsala, Sweden, and was carried out in August 1998. Traditional meteorological data sources and tools such as the numerical weather model NCAR Mesoscale Model (MM5), satellite data from the National Oceanic and Atmospheric Administration (NOAA), Washington, DC, and data and analysis from the European Center for Medium-Range Weather Forecasting (ECMWF), Reading, UK, have been used to evaluate the results. A good agreement is found between GPS tomography and classical methods, even in meteorological situations with complex vertical structure of water vapor
Keywords :
Global Positioning System; atmospheric humidity; atmospheric techniques; remote sensing; AD 1998; GPS network; GPS receivers; GPS signal; GPS tomography; Global Positioning System; Onsala Space Observatory; Sweden; atmosphere; four-dimensional structure; humidity; measurement technique; radiowave propagation; small dense network; tomographic reconstruction; tomography; troposphere; water vapor; water vapour; Atmospheric modeling; Global Positioning System; Meteorology; Observatories; Predictive models; Satellites; Signal resolution; Terrestrial atmosphere; Tomography; Weather forecasting;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.905252
Filename :
905252
Link To Document :
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