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Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS

Global Navigation Satellite System (GNSS) signals generate slant tropospheric delays when they pass through the atmosphere, which is recognized as the main source of error in many spatial geodetic applications. The zenith tropospheric delay (ZTD) derived from radio occultation data is of great signi...

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Autores principales: Fu, Naifeng, Jiang, Mingbo, Li, Fenghui, Guo, Peng, Hou, Chunping, Wu, Mengjie, Wu, Jianming, Wang, Zhipeng, Kan, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319514/
https://www.ncbi.nlm.nih.gov/pubmed/35890887
http://dx.doi.org/10.3390/s22145209
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author Fu, Naifeng
Jiang, Mingbo
Li, Fenghui
Guo, Peng
Hou, Chunping
Wu, Mengjie
Wu, Jianming
Wang, Zhipeng
Kan, Liang
author_facet Fu, Naifeng
Jiang, Mingbo
Li, Fenghui
Guo, Peng
Hou, Chunping
Wu, Mengjie
Wu, Jianming
Wang, Zhipeng
Kan, Liang
author_sort Fu, Naifeng
collection PubMed
description Global Navigation Satellite System (GNSS) signals generate slant tropospheric delays when they pass through the atmosphere, which is recognized as the main source of error in many spatial geodetic applications. The zenith tropospheric delay (ZTD) derived from radio occultation data is of great significance to atmospheric research and meteorology and needs to be assessed in the use of precision positioning. Based on the atmPrf, sonPrf, and echPrf data from the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) Data Analysis and Archiving Center (CDAAC) from 1 January to 31 December 2008 and 2012, we obtained the ZTDs of the radio occultation data (occZTD) and the corresponding radiosonde (sonZTD) and ECWMF data (echZTD). The ZTDs derived from ground-based global positioning system (GPS) observations from the International GNSS Service (IGS) were corrected to the lowest tangent point height of the matched radio occultation profile by the barometric height formula (gnsZTD). The statistical results show that the absolute values of the bias between occZTD and echZTD, sonZTD, or gnsZTD are less than 5 mm, and the standard deviations are approximately 20 mm or less, indicating that occZTD had significant accuracy in the GNSS positioning model even when the local spherical symmetry assumption error was introduced when the Abel inversion algorithm was used to obtain the refractive index profile of atmPrf. The effects of the horizontal/vertical matching resolution and the variation in the station height/latitude on the biases of occZTD and gnsZTD were analyzed. The results can be used to quantify the performance of radio occultation data for tropospheric delay error correction in dynamic high-precision positioning.
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spelling pubmed-93195142022-07-27 Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS Fu, Naifeng Jiang, Mingbo Li, Fenghui Guo, Peng Hou, Chunping Wu, Mengjie Wu, Jianming Wang, Zhipeng Kan, Liang Sensors (Basel) Article Global Navigation Satellite System (GNSS) signals generate slant tropospheric delays when they pass through the atmosphere, which is recognized as the main source of error in many spatial geodetic applications. The zenith tropospheric delay (ZTD) derived from radio occultation data is of great significance to atmospheric research and meteorology and needs to be assessed in the use of precision positioning. Based on the atmPrf, sonPrf, and echPrf data from the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) Data Analysis and Archiving Center (CDAAC) from 1 January to 31 December 2008 and 2012, we obtained the ZTDs of the radio occultation data (occZTD) and the corresponding radiosonde (sonZTD) and ECWMF data (echZTD). The ZTDs derived from ground-based global positioning system (GPS) observations from the International GNSS Service (IGS) were corrected to the lowest tangent point height of the matched radio occultation profile by the barometric height formula (gnsZTD). The statistical results show that the absolute values of the bias between occZTD and echZTD, sonZTD, or gnsZTD are less than 5 mm, and the standard deviations are approximately 20 mm or less, indicating that occZTD had significant accuracy in the GNSS positioning model even when the local spherical symmetry assumption error was introduced when the Abel inversion algorithm was used to obtain the refractive index profile of atmPrf. The effects of the horizontal/vertical matching resolution and the variation in the station height/latitude on the biases of occZTD and gnsZTD were analyzed. The results can be used to quantify the performance of radio occultation data for tropospheric delay error correction in dynamic high-precision positioning. MDPI 2022-07-12 /pmc/articles/PMC9319514/ /pubmed/35890887 http://dx.doi.org/10.3390/s22145209 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fu, Naifeng
Jiang, Mingbo
Li, Fenghui
Guo, Peng
Hou, Chunping
Wu, Mengjie
Wu, Jianming
Wang, Zhipeng
Kan, Liang
Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS
title Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS
title_full Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS
title_fullStr Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS
title_full_unstemmed Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS
title_short Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS
title_sort assessment of ztd derived from cosmic occultation data with ecwmf, radiosondes, and gnss
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319514/
https://www.ncbi.nlm.nih.gov/pubmed/35890887
http://dx.doi.org/10.3390/s22145209
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