Assessing ZWD models in delay and height domains using data from stations in different climate regions

Detalhes bibliográficos
Autor(a) principal: de Lima, Thainara Munhoz Alexandre
Data de Publicação: 2022
Outros Autores: Santos, Marcelo, Alves, Daniele Barroca Marra [UNESP], Nikolaidou, Thalia, Gouveia, Tayná Aparecida Ferreira [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s12518-021-00414-y
http://hdl.handle.net/11449/230201
Resumo: Global Navigation Satellite System (GNSS) has revolutionized activities involving geodetic positioning. To achieve a desired accuracy, it is essential to model the atmosphere in an appropriate way. With respect to the neutral atmosphere, the signal sent by the satellite suffers a delay when crossing this layer during its travel to the receiver on the surface, the so-called neutral atmospheric delay. Although empirical models exist, they may not be suitable to represent microclimatic variations in different regions of the globe due to peculiarities that exist in diverse areas. To minimize this limitation, correction models based on numerical weather prediction (NWP) emerge. They allow the assessment of the delay from local atmospheric parameters and the evaluation of atmospheric particularities of each region. In addition, another way to obtain neutral atmosphere delay is by making use of data from radiosondes, which measure atmospheric data at various altitude levels. The main objective of this article is to investigate the performance of different models using GNSS data collected in countries with different climatic conditions. Assessment is performed on the positioning domain using the precise point positioning (PPP) technique. The results show that the proximity between the NWP-based models and radiosondes was approximately 3 cm, and that between empirical models was 5 cm, with variations that depended on the model and the region. Regarding the impact on the height component, the difference between the accuracy of the empirical and NWP models was approximately 16 cm.
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spelling Assessing ZWD models in delay and height domains using data from stations in different climate regionsNeutral atmospheric zenith delayNWPPPPRadiosondeGlobal Navigation Satellite System (GNSS) has revolutionized activities involving geodetic positioning. To achieve a desired accuracy, it is essential to model the atmosphere in an appropriate way. With respect to the neutral atmosphere, the signal sent by the satellite suffers a delay when crossing this layer during its travel to the receiver on the surface, the so-called neutral atmospheric delay. Although empirical models exist, they may not be suitable to represent microclimatic variations in different regions of the globe due to peculiarities that exist in diverse areas. To minimize this limitation, correction models based on numerical weather prediction (NWP) emerge. They allow the assessment of the delay from local atmospheric parameters and the evaluation of atmospheric particularities of each region. In addition, another way to obtain neutral atmosphere delay is by making use of data from radiosondes, which measure atmospheric data at various altitude levels. The main objective of this article is to investigate the performance of different models using GNSS data collected in countries with different climatic conditions. Assessment is performed on the positioning domain using the precise point positioning (PPP) technique. The results show that the proximity between the NWP-based models and radiosondes was approximately 3 cm, and that between empirical models was 5 cm, with variations that depended on the model and the region. Regarding the impact on the height component, the difference between the accuracy of the empirical and NWP models was approximately 16 cm.Instrumentation Lab for Aquatic Systems (LabISA) National Institute of Space Research (INPE), SPDepartment of Geodesy and Geomatics Engineering University of New BrunswickDepartment of Cartography São Paulo State University (UNESP), Presidente Prudente, SPDepartment of Cartography São Paulo State University (UNESP), Presidente Prudente, SPNational Institute of Space Research (INPE)University of New BrunswickUniversidade Estadual Paulista (UNESP)de Lima, Thainara Munhoz AlexandreSantos, MarceloAlves, Daniele Barroca Marra [UNESP]Nikolaidou, ThaliaGouveia, Tayná Aparecida Ferreira [UNESP]2022-04-29T08:38:31Z2022-04-29T08:38:31Z2022-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article93-103http://dx.doi.org/10.1007/s12518-021-00414-yApplied Geomatics, v. 14, n. 1, p. 93-103, 2022.1866-928X1866-9298http://hdl.handle.net/11449/23020110.1007/s12518-021-00414-y2-s2.0-85122676842Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengApplied Geomaticsinfo:eu-repo/semantics/openAccess2024-06-18T15:01:06Zoai:repositorio.unesp.br:11449/230201Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:42:12.696998Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Assessing ZWD models in delay and height domains using data from stations in different climate regions
title Assessing ZWD models in delay and height domains using data from stations in different climate regions
spellingShingle Assessing ZWD models in delay and height domains using data from stations in different climate regions
de Lima, Thainara Munhoz Alexandre
Neutral atmospheric zenith delay
NWP
PPP
Radiosonde
title_short Assessing ZWD models in delay and height domains using data from stations in different climate regions
title_full Assessing ZWD models in delay and height domains using data from stations in different climate regions
title_fullStr Assessing ZWD models in delay and height domains using data from stations in different climate regions
title_full_unstemmed Assessing ZWD models in delay and height domains using data from stations in different climate regions
title_sort Assessing ZWD models in delay and height domains using data from stations in different climate regions
author de Lima, Thainara Munhoz Alexandre
author_facet de Lima, Thainara Munhoz Alexandre
Santos, Marcelo
Alves, Daniele Barroca Marra [UNESP]
Nikolaidou, Thalia
Gouveia, Tayná Aparecida Ferreira [UNESP]
author_role author
author2 Santos, Marcelo
Alves, Daniele Barroca Marra [UNESP]
Nikolaidou, Thalia
Gouveia, Tayná Aparecida Ferreira [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv National Institute of Space Research (INPE)
University of New Brunswick
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv de Lima, Thainara Munhoz Alexandre
Santos, Marcelo
Alves, Daniele Barroca Marra [UNESP]
Nikolaidou, Thalia
Gouveia, Tayná Aparecida Ferreira [UNESP]
dc.subject.por.fl_str_mv Neutral atmospheric zenith delay
NWP
PPP
Radiosonde
topic Neutral atmospheric zenith delay
NWP
PPP
Radiosonde
description Global Navigation Satellite System (GNSS) has revolutionized activities involving geodetic positioning. To achieve a desired accuracy, it is essential to model the atmosphere in an appropriate way. With respect to the neutral atmosphere, the signal sent by the satellite suffers a delay when crossing this layer during its travel to the receiver on the surface, the so-called neutral atmospheric delay. Although empirical models exist, they may not be suitable to represent microclimatic variations in different regions of the globe due to peculiarities that exist in diverse areas. To minimize this limitation, correction models based on numerical weather prediction (NWP) emerge. They allow the assessment of the delay from local atmospheric parameters and the evaluation of atmospheric particularities of each region. In addition, another way to obtain neutral atmosphere delay is by making use of data from radiosondes, which measure atmospheric data at various altitude levels. The main objective of this article is to investigate the performance of different models using GNSS data collected in countries with different climatic conditions. Assessment is performed on the positioning domain using the precise point positioning (PPP) technique. The results show that the proximity between the NWP-based models and radiosondes was approximately 3 cm, and that between empirical models was 5 cm, with variations that depended on the model and the region. Regarding the impact on the height component, the difference between the accuracy of the empirical and NWP models was approximately 16 cm.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-29T08:38:31Z
2022-04-29T08:38:31Z
2022-03-01
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/10.1007/s12518-021-00414-y
Applied Geomatics, v. 14, n. 1, p. 93-103, 2022.
1866-928X
1866-9298
http://hdl.handle.net/11449/230201
10.1007/s12518-021-00414-y
2-s2.0-85122676842
url http://dx.doi.org/10.1007/s12518-021-00414-y
http://hdl.handle.net/11449/230201
identifier_str_mv Applied Geomatics, v. 14, n. 1, p. 93-103, 2022.
1866-928X
1866-9298
10.1007/s12518-021-00414-y
2-s2.0-85122676842
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Applied Geomatics
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 93-103
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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