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
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