Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over Nigeria

Abstract Tropospheric delay is a major error caused by atmospheric refraction in Global Navigation Satellite System (GNSS) positioning. The study evaluates the potential of the European Centre for Medium-range Weather Forecast (ECMWF) Reanalysis 5 (ERA5) atmospheric variables in estimating the Zenit...

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Main Authors: Ifechukwu Ugochukwu Nzelibe, Herbert Tata, Timothy Oluwadare Idowu
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:Satellite Navigation
Subjects:
Online Access:https://doi.org/10.1186/s43020-023-00104-7
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author Ifechukwu Ugochukwu Nzelibe
Herbert Tata
Timothy Oluwadare Idowu
author_facet Ifechukwu Ugochukwu Nzelibe
Herbert Tata
Timothy Oluwadare Idowu
author_sort Ifechukwu Ugochukwu Nzelibe
collection DOAJ
description Abstract Tropospheric delay is a major error caused by atmospheric refraction in Global Navigation Satellite System (GNSS) positioning. The study evaluates the potential of the European Centre for Medium-range Weather Forecast (ECMWF) Reanalysis 5 (ERA5) atmospheric variables in estimating the Zenith Tropospheric Delay (ZTD). Linear regression models (LRM) are applied to estimate ZTD with the ERA5 atmospheric variables. The ZTD are also estimated using standard ZTD models based on ERA5 and Global Pressure and Temperature 3 (GPT3) atmospheric variables. These ZTD estimates are evaluated using the data collected from the permanent GNSS continuously operating reference stations in the Nigerian region. The results reveal that the Zenith Hydrostatic Delay (ZHD) from the LRM and the Saastamoinien model using ERA5 surface pressure are of identical accuracy, having a Root Mean Square (RMS) error of 2.3 mm while the GPT3-ZHD has an RMS of 3.4 mm. For the Zenith Wet Delay (ZWD) component, the best estimates are derived using ERA5 Precipitable Water Vapour (PWV). These include the ZWD derived by the LRM having an average RMS of 20.9 mm and Bevis equation having RMS of 21.1 mm and 21.0 mm for global and local weighted mean temperatures, respectively. The evaluation of GPT3-ZWD estimates gives RMS of 45.8 mm. This study has provided a valuable insight into the application of ERA5 data for ZTD estimation. In line with the findings of the study, the ERA5 atmospheric variables are recommended for improving the accuracy in ZTD estimation, required for GNSS positioning.
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spelling doaj.art-91d868fabe2a4b22b4892749aaef814f2023-06-04T11:41:19ZengSpringerOpenSatellite Navigation2662-92912662-13632023-05-014111610.1186/s43020-023-00104-7Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over NigeriaIfechukwu Ugochukwu Nzelibe0Herbert Tata1Timothy Oluwadare Idowu2Department of Surveying and Geoinformatics, Federal University of Technology AkureDepartment of Surveying and Geoinformatics, Federal University of Technology AkureDepartment of Surveying and Geoinformatics, Federal University of Technology AkureAbstract Tropospheric delay is a major error caused by atmospheric refraction in Global Navigation Satellite System (GNSS) positioning. The study evaluates the potential of the European Centre for Medium-range Weather Forecast (ECMWF) Reanalysis 5 (ERA5) atmospheric variables in estimating the Zenith Tropospheric Delay (ZTD). Linear regression models (LRM) are applied to estimate ZTD with the ERA5 atmospheric variables. The ZTD are also estimated using standard ZTD models based on ERA5 and Global Pressure and Temperature 3 (GPT3) atmospheric variables. These ZTD estimates are evaluated using the data collected from the permanent GNSS continuously operating reference stations in the Nigerian region. The results reveal that the Zenith Hydrostatic Delay (ZHD) from the LRM and the Saastamoinien model using ERA5 surface pressure are of identical accuracy, having a Root Mean Square (RMS) error of 2.3 mm while the GPT3-ZHD has an RMS of 3.4 mm. For the Zenith Wet Delay (ZWD) component, the best estimates are derived using ERA5 Precipitable Water Vapour (PWV). These include the ZWD derived by the LRM having an average RMS of 20.9 mm and Bevis equation having RMS of 21.1 mm and 21.0 mm for global and local weighted mean temperatures, respectively. The evaluation of GPT3-ZWD estimates gives RMS of 45.8 mm. This study has provided a valuable insight into the application of ERA5 data for ZTD estimation. In line with the findings of the study, the ERA5 atmospheric variables are recommended for improving the accuracy in ZTD estimation, required for GNSS positioning.https://doi.org/10.1186/s43020-023-00104-7ECMWF reanalysis 5 (ERA5)Global navigation satellite systems (GNSS)Global pressure and temperature 3 (GPT3)ModellingNigeriaZenith tropospheric delay (ZTD)
spellingShingle Ifechukwu Ugochukwu Nzelibe
Herbert Tata
Timothy Oluwadare Idowu
Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over Nigeria
Satellite Navigation
ECMWF reanalysis 5 (ERA5)
Global navigation satellite systems (GNSS)
Global pressure and temperature 3 (GPT3)
Modelling
Nigeria
Zenith tropospheric delay (ZTD)
title Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over Nigeria
title_full Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over Nigeria
title_fullStr Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over Nigeria
title_full_unstemmed Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over Nigeria
title_short Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over Nigeria
title_sort assessment of gnss zenith tropospheric delay responses to atmospheric variables derived from era5 data over nigeria
topic ECMWF reanalysis 5 (ERA5)
Global navigation satellite systems (GNSS)
Global pressure and temperature 3 (GPT3)
Modelling
Nigeria
Zenith tropospheric delay (ZTD)
url https://doi.org/10.1186/s43020-023-00104-7
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