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ADGEO | Articles | Volume 45
Adv. Geosci., 45, 363-375, 2018
https://doi.org/10.5194/adgeo-45-363-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Adv. Geosci., 45, 363-375, 2018
https://doi.org/10.5194/adgeo-45-363-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  23 Nov 2018

23 Nov 2018

Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data

Christina Oikonomou et al.
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Cited articles  
Balidakis, K., Nilsson, T., Zus, F., Glaser, S., Heinkelmann, R., Deng, Z., and Schuh, H.: Estimating integrated water vapor trends from VLBI, GPS, and numerical weather models: Sensitivity to tropospheric parameterization, J. Geophys. Res.-Atmos., 123, 6356–6372, https://doi.org/10.1029/2017JD028049, 2018. 
Benevides, P., Catalao, J., and Miranda, P. M. A.: On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall, Nat. Hazards Earth Syst. Sci., 15, 2605–2616, https://doi.org/10.5194/nhess-15-2605-2015, 2015. 
Bevis, M., Businger, S., Herring, T. A., Rocken, C., Anthes, R. A., and Ware, R. H.: GPS meteorology: Remote sensing of atmospheric water vapor using the Global Positioning System, J. Geophys. Res., 97, 15784–15801, https://doi.org/10.1029/92jd01517, 1992. 
Bevis, M., Businger, S., Chiswell, S. R., Anthes, R. A., Rocken, C., and Ware, R. H.: GPS meteorology: Mapping zenith wet delay onto precipitable water, J. Appl. Meteorol., 33, 379–386, https://doi.org/10.1175/1520-0450(1994)033<0379:gmmzwd>2.0.co;2, 1994. 
Böhm, J., Niell, A., Tregoning, P., and Schuh, H.: Global Mapping Function (GMF): A new empirical mapping function, Geophys. Res. Lett., 33, L07304, https://doi.org/10.1029/2005GL025546, 2006. 
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Short summary
Tropospheric delay comprises one of the most important error sources in satellite navigation and is caused when radio signals broadcasted by GPS satellites propagate into the atmosphere. This study aims to evaluate the tropospheric delay performance for GNSS integrated water vapor (IWV) estimation by using GPT2w model, ECMWF's IFS reanalysis model and ground meteorological data from two stations of the permanent network of Cyprus and Greece.
Tropospheric delay comprises one of the most important error sources in satellite navigation and...
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