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| Titel |
Near real-time estimation of water vapour in the troposphere using ground GNSS and the meteorological data |
| VerfasserIn |
J. Bosy, J. Kaplon, W. Rohm, J. Sierny, T. Hadas |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
0992-7689
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| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 30, no. 9 ; Nr. 30, no. 9 (2012-09-27), S.1379-1391 |
| Datensatznummer |
250017270
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| Publikation (Nr.) |
 copernicus.org/angeo-30-1379-2012.pdf |
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| Zusammenfassung |
| The near real-time (NRT) high resolution water vapour distribution models can
be constructed based on GNSS observations delivered from Ground Base
Augmentation Systems (GBAS) and ground meteorological data. Since 2008 in the
territory of Poland, a GBAS system called ASG-EUPOS (Active Geodetic Network)
has been operating. This paper addresses the problems concerning construction of
the NRT model of water vapour distribution in the troposphere near Poland.
The first section presents all available GNSS and ground meteorological stations
in the area of Poland and neighbouring countries. In this section, data feeding
scheme is discussed, together with timeline and time resolution. The high
consistency between measured and interpolated temperature value is shown,
whereas some discrepancy in the pressure is observed. In the second section, the
NRT GNSS data processing strategy of ASG-EUPOS network is discussed.
Preliminary results show fine alignment of the obtained Zenith Troposphere
Delays (ZTDs) with reference data from European Permanent Network (EPN)
processing center. The validation of NRT troposphere products against daily
solution shows 15 mm standard deviation of obtained ZTD differences. The last
section presents the first results of 2-D water vapour distribution above the GNSS
network and application of the tomographic model to 3-D distribution of water
vapour in the atmosphere. The GNSS tomography model, working on the simulated
data from numerical forecast model, shows high consistency with the reference data
(by means of standard deviation 4 mm km−1 or 4 ppm), however, noise analysis shows
high solution sensitivity to errors in observations. The discrepancy for real
data preliminary solution (measured as a mean standard deviation) between
reference NWP data and tomography data was on the level of 9 mm km−1 (or 9 ppm)
in terms of wet refractivity. |
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