Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric model

Detalhes bibliográficos
Autor(a) principal: Gouveia, Tayná Aparecida Ferreira [UNESP]
Data de Publicação: 2020
Outros Autores: Sapucci, Luiz Fernando, Monico, João Francisco Galera [UNESP], Alves, Daniele Barroca Marra [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/s1982-21702020000100001
http://hdl.handle.net/11449/200438
Resumo: In Global Navigation Satellite Systems (GNSS), the effects of neutral atmosphere in electromagnetic signal propagation impacts directly on the quality of the final estimated position, leading to errors in the metric order. Using an atmospheric model is a good strategy to minimize these errors, because it becomes possible to obtain a neutral atmospheric delay with the same spatial and temporal resolution, taking into consideration particularities of the atmosphere treated by a numerical model. The regional model of the Center for Weather Forecasting and Climate Studies (CPTEC) used in this paper has a spatial resolution of 15 km and a temporal resolution of 3 hours. Usually, the delay prediction of 3 hours is interpolated in time to GNSS applications and this can influence the quality of the values obtained in each interpolated epoch. Higher temporal resolutions can lead to lower errors in the final position. In this paper, the quality of delay predictions is evaluated for this atmospheric model with resolutions of 6 and 3 hours. The estimated delay, derived from meteorological data in the same location as the geodetic data, is considered as “truth”. The temporal resolution of 3 hours shows better results than using 6 hours, particularly for the hydrostatic component in the initial prediction period, RMSE of 1.25 cm was reduced to 0.2 cm in NEIA station.
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spelling Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric modelAtmospheric modelGNSS positioningNeutral atmospheric delay modelingIn Global Navigation Satellite Systems (GNSS), the effects of neutral atmosphere in electromagnetic signal propagation impacts directly on the quality of the final estimated position, leading to errors in the metric order. Using an atmospheric model is a good strategy to minimize these errors, because it becomes possible to obtain a neutral atmospheric delay with the same spatial and temporal resolution, taking into consideration particularities of the atmosphere treated by a numerical model. The regional model of the Center for Weather Forecasting and Climate Studies (CPTEC) used in this paper has a spatial resolution of 15 km and a temporal resolution of 3 hours. Usually, the delay prediction of 3 hours is interpolated in time to GNSS applications and this can influence the quality of the values obtained in each interpolated epoch. Higher temporal resolutions can lead to lower errors in the final position. In this paper, the quality of delay predictions is evaluated for this atmospheric model with resolutions of 6 and 3 hours. The estimated delay, derived from meteorological data in the same location as the geodetic data, is considered as “truth”. The temporal resolution of 3 hours shows better results than using 6 hours, particularly for the hydrostatic component in the initial prediction period, RMSE of 1.25 cm was reduced to 0.2 cm in NEIA station.Universidade Estadual Paulista-UNESP Faculdade de Ciência e Tecnologia Departamento de CartográficaInstituto Nacional de Pesquisas Espaciais – INPE Centro de Previsão de Tempo e Estudos Climáticos/Divisão de Desenvolvimento e ModelagemUniversidade Estadual Paulista-UNESP Faculdade de Ciência e Tecnologia Departamento de CartográficaUniversidade Estadual Paulista (Unesp)Centro de Previsão de Tempo e Estudos Climáticos/Divisão de Desenvolvimento e ModelagemGouveia, Tayná Aparecida Ferreira [UNESP]Sapucci, Luiz FernandoMonico, João Francisco Galera [UNESP]Alves, Daniele Barroca Marra [UNESP]2020-12-12T02:06:37Z2020-12-12T02:06:37Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1590/s1982-21702020000100001Boletim de Ciencias Geodesicas, v. 26, n. 1, 2020.1982-21701413-4853http://hdl.handle.net/11449/20043810.1590/s1982-21702020000100001S1982-217020200001002002-s2.0-85084990385S1982-21702020000100200.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBoletim de Ciencias Geodesicasinfo:eu-repo/semantics/openAccess2023-12-26T06:21:36Zoai:repositorio.unesp.br:11449/200438Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-26T06:21:36Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric model
title Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric model
spellingShingle Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric model
Gouveia, Tayná Aparecida Ferreira [UNESP]
Atmospheric model
GNSS positioning
Neutral atmospheric delay modeling
title_short Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric model
title_full Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric model
title_fullStr Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric model
title_full_unstemmed Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric model
title_sort Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric model
author Gouveia, Tayná Aparecida Ferreira [UNESP]
author_facet Gouveia, Tayná Aparecida Ferreira [UNESP]
Sapucci, Luiz Fernando
Monico, João Francisco Galera [UNESP]
Alves, Daniele Barroca Marra [UNESP]
author_role author
author2 Sapucci, Luiz Fernando
Monico, João Francisco Galera [UNESP]
Alves, Daniele Barroca Marra [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Centro de Previsão de Tempo e Estudos Climáticos/Divisão de Desenvolvimento e Modelagem
dc.contributor.author.fl_str_mv Gouveia, Tayná Aparecida Ferreira [UNESP]
Sapucci, Luiz Fernando
Monico, João Francisco Galera [UNESP]
Alves, Daniele Barroca Marra [UNESP]
dc.subject.por.fl_str_mv Atmospheric model
GNSS positioning
Neutral atmospheric delay modeling
topic Atmospheric model
GNSS positioning
Neutral atmospheric delay modeling
description In Global Navigation Satellite Systems (GNSS), the effects of neutral atmosphere in electromagnetic signal propagation impacts directly on the quality of the final estimated position, leading to errors in the metric order. Using an atmospheric model is a good strategy to minimize these errors, because it becomes possible to obtain a neutral atmospheric delay with the same spatial and temporal resolution, taking into consideration particularities of the atmosphere treated by a numerical model. The regional model of the Center for Weather Forecasting and Climate Studies (CPTEC) used in this paper has a spatial resolution of 15 km and a temporal resolution of 3 hours. Usually, the delay prediction of 3 hours is interpolated in time to GNSS applications and this can influence the quality of the values obtained in each interpolated epoch. Higher temporal resolutions can lead to lower errors in the final position. In this paper, the quality of delay predictions is evaluated for this atmospheric model with resolutions of 6 and 3 hours. The estimated delay, derived from meteorological data in the same location as the geodetic data, is considered as “truth”. The temporal resolution of 3 hours shows better results than using 6 hours, particularly for the hydrostatic component in the initial prediction period, RMSE of 1.25 cm was reduced to 0.2 cm in NEIA station.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:06:37Z
2020-12-12T02:06:37Z
2020-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/s1982-21702020000100001
Boletim de Ciencias Geodesicas, v. 26, n. 1, 2020.
1982-2170
1413-4853
http://hdl.handle.net/11449/200438
10.1590/s1982-21702020000100001
S1982-21702020000100200
2-s2.0-85084990385
S1982-21702020000100200.pdf
url http://dx.doi.org/10.1590/s1982-21702020000100001
http://hdl.handle.net/11449/200438
identifier_str_mv Boletim de Ciencias Geodesicas, v. 26, n. 1, 2020.
1982-2170
1413-4853
10.1590/s1982-21702020000100001
S1982-21702020000100200
2-s2.0-85084990385
S1982-21702020000100200.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Boletim de Ciencias Geodesicas
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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