Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data
-
Published:2018-11-23
Issue:
Volume:45
Page:363-375
-
ISSN:1680-7359
-
Container-title:Advances in Geosciences
-
language:en
-
Short-container-title:Adv. Geosci.
Author:
Oikonomou Christina, Tymvios Filippos, Pikridas Christos, Bitharis StylianosORCID, Balidakis KyriakosORCID, Michaelides SilasORCID, Haralambous Haris, Charalambous Demetris
Abstract
Abstract. 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. It is usually projected onto zenith
direction by using mapping functions named as Zenith Tropospheric Delay
(ZTD). ZTD is described as the sum of the Zenith Hydrostatic Delay (ZHD) and
the Zenith Wet Delay (ZWD) and with the aid of surface pressure and
temperature the integrated water vapor can be estimated. The main objective
of this study is to evaluate the tropospheric delay performance for GNSS
integrated water vapor estimation by using GPT2w model, ECMWF's IFS (ECMWF
stands for the European Centre for Medium-Range Weather Forecasts) reanalysis
model and ground meteorological data from two stations of the permanent
network of Cyprus and Greece. The period from 27 May to 3 June 2018 is
characterized by two different synoptic conditions: high pressure with fair
weather in central Mediterranean (Greece), on the one hand, and high
instability over the upper levels of the atmosphere that resulted in
thunderstorms inland and mountainous areas during midday over the Eastern
Mediterranean (Cyprus), on the other hand. In general, the results show that
both the empirical blind model GPT2w and the ECMWF (IFS) operational model
perform well in particular over Nicosia when used for the retrieval of
Integrated Water Vapor (IWV) from GNSS measurements, although appreciable
deviations were observed between ECMWF (IFS)-retrieved IWV and the one
retrieved from GNSS observations by using meteorological measurements. A
sharp increase of IWV prior to the abrupt rainfall events during noon on 30 and 31 May over Nicosia was also found.
Publisher
Copernicus GmbH
Reference33 articles.
1. 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. 2. 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. 3. 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. 4. 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. 5. 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.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|