Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data
<p>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...
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doaj-1ea15bdee22c4ed7811a8b4606dc06ce2020-11-24T20:51:11ZengCopernicus PublicationsAdvances in Geosciences1680-73401680-73592018-11-014536337510.5194/adgeo-45-363-2018Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological dataC. Oikonomou0F. Tymvios1F. Tymvios2C. Pikridas3S. Bitharis4K. Balidakis5S. Michaelides6H. Haralambous7H. Haralambous8D. Charalambous9D. Charalambous10Frederick Research Center, Nicosia, 1303, CyprusCyprus Department of Meteorology, Nicosia, CyprusThe Cyprus Institute, Nicosia, 2121, CyprusAristotle University of Thessaloniki, Department of Geodesy and Surveying, Thessaloniki, 54124, GreeceAristotle University of Thessaloniki, Department of Geodesy and Surveying, Thessaloniki, 54124, GreeceGerman Research Centre for Geosciences, Space Geodetic Techniques, Potsdam, 14473, GermanyThe Cyprus Institute, Nicosia, 2121, CyprusFrederick Research Center, Nicosia, 1303, CyprusFrederick University, Nicosia, 1036, CyprusCyprus Department of Meteorology, Nicosia, CyprusThe Cyprus Institute, Nicosia, 2121, Cyprus<p>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.</p>https://www.adv-geosci.net/45/363/2018/adgeo-45-363-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
C. Oikonomou F. Tymvios F. Tymvios C. Pikridas S. Bitharis K. Balidakis S. Michaelides H. Haralambous H. Haralambous D. Charalambous D. Charalambous |
spellingShingle |
C. Oikonomou F. Tymvios F. Tymvios C. Pikridas S. Bitharis K. Balidakis S. Michaelides H. Haralambous H. Haralambous D. Charalambous D. Charalambous Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data Advances in Geosciences |
author_facet |
C. Oikonomou F. Tymvios F. Tymvios C. Pikridas S. Bitharis K. Balidakis S. Michaelides H. Haralambous H. Haralambous D. Charalambous D. Charalambous |
author_sort |
C. Oikonomou |
title |
Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data |
title_short |
Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data |
title_full |
Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data |
title_fullStr |
Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data |
title_full_unstemmed |
Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data |
title_sort |
tropospheric delay performance for gnss integrated water vapor estimation by using gpt2w model, ecmwf's ifs operational model and in situ meteorological data |
publisher |
Copernicus Publications |
series |
Advances in Geosciences |
issn |
1680-7340 1680-7359 |
publishDate |
2018-11-01 |
description |
<p>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.</p> |
url |
https://www.adv-geosci.net/45/363/2018/adgeo-45-363-2018.pdf |
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