1998
DOI: 10.1029/97jd03015
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Three months of continuous monitoring of atmospheric water vapor with a network of Global Positioning System receivers

Abstract: Abstract. Three months of continuous data from the Global Positioning System (GPS) using 20 sites in Sweden and 5 sites in Finland have been used to estimate the integrated amount of atmospheric water vapor. The quality of the data has been assessed by comparisons with a microwave radiometer (water vapor radiometer (YVVR)) at the Onsala Space Observatory and with data from four different radiosonde stations. We found the agreement in integrated water vapor (IWV) between the GPS estimates and the radiometer … Show more

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Cited by 182 publications
(116 citation statements)
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References 32 publications
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“…Rocken et al, 1993Rocken et al, , 1995Emardson et al, 1998 GPS network. The data were obtained from the Onsala Space Observatory, Onsala, Sweden, and the Finnish Geodetic Institute.…”
Section: Validation Of the Hrm With Groundbased Measurementsmentioning
confidence: 99%
See 1 more Smart Citation
“…Rocken et al, 1993Rocken et al, , 1995Emardson et al, 1998 GPS network. The data were obtained from the Onsala Space Observatory, Onsala, Sweden, and the Finnish Geodetic Institute.…”
Section: Validation Of the Hrm With Groundbased Measurementsmentioning
confidence: 99%
“…Details about the measurement procedure were described e.g. by Emardson et al, 1998. The weather forecast model HRM used as boundary conditions 6-hourly analyses (EM3AN) of the EuropaModell of the DWD and was initialized by interpolation of the 0 h analysis.…”
Section: Validation Of the Hrm With Groundbased Measurementsmentioning
confidence: 99%
“…Emardson et al (1998) derived a relation between the wet delay and the IPWV based on site latitude and the day of the year. In that study almost 30 000 radiosonde profiles from the Scandinavian countries were used.…”
Section: Introductionmentioning
confidence: 99%
“…3a, is relatively stable on a day timescale. It can be derived by using its dependency on the local atmospheric pressure (Bevis et al, 1992;Emardson et al, 1998):…”
Section: Gnss Meteorologymentioning
confidence: 99%