Ground- and space-based GPS data ingestion into the NeQuick model

Autores
Brunini, Claudio Antonio; Azpilicueta, Francisco Javier; Gende, Mauricio Alfredo; Camilion, Emilio; Ángel, A. Aragón; Hernández-Pajares, Manuel; Juan, M.; Sanz, Jaume; Salazar, Dagoberto
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a technique for ingesting ground- and space-based dual-frequency GPS observations into a semi-empirical global electron density model. The NeQuick-2 model is used as the basis for describing the global electron density distribution. This model is mainly driven by the F2 ionosphere layer parameters (i.e. the electron density, NmF2, and the height, hmF2 of the F2 peak), which, in the absence of directly measured values, are computed from the ITU-R database (ITU-R 1997). This database was established using observations collected from 1954 to 1958 by a network of around 150 ionospheric sounders with uneven global coverage. It allows computing monthly median values of NmF2 and hmF2 (intra-month variations are averaged), for low and high solar activity. For intermediate solar activity a linear interpolation must be performed. Ground-based GNSS observations from a global network of ~350 receivers are pre-processed in order to retrieve slant total electron content (sTEC) information, and space-based GPS observations (radio occultation data from the FORMOSAT-3/COSMIC constellation) are pre-processed to retrieve electron density (ED) information. Both, sTEC and ED are ingested into the NeQuick-2 model in order to adapt NmF2 and hmF2, and reduce simultaneously both, the observed minus computed sTEC and ED differences. The first experimental results presented in this paper suggest that the data ingestion technique is self consistent and able to reduce the observed minus computed sTEC and ED differences to ~25–30% of the values computed from the ITU-R database. Although sTEC and ED are both derived from GPS observations, independent algorithm and models are used to compute their values from ground-based GPS observations and space-based FORMOSAT-3/COSMIC radio occultations. This fact encourages us to pursue this research with the aim to improve the results presented here and assess their accuracy in a reliable way.
Facultad de Ciencias Astronómicas y Geofísicas
Materia
Ingeniería
Ionosphere
GPS
FORMOSAT-3/COSMIC
NeQuick-2
ITU-R-database
Data ingestion
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/132992

id SEDICI_9454ea1bfec6758d1caf98a98628c597
oai_identifier_str oai:sedici.unlp.edu.ar:10915/132992
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Ground- and space-based GPS data ingestion into the NeQuick modelBrunini, Claudio AntonioAzpilicueta, Francisco JavierGende, Mauricio AlfredoCamilion, EmilioÁngel, A. AragónHernández-Pajares, ManuelJuan, M.Sanz, JaumeSalazar, DagobertoIngenieríaIonosphereGPSFORMOSAT-3/COSMICNeQuick-2ITU-R-databaseData ingestionThis paper presents a technique for ingesting ground- and space-based dual-frequency GPS observations into a semi-empirical global electron density model. The NeQuick-2 model is used as the basis for describing the global electron density distribution. This model is mainly driven by the F2 ionosphere layer parameters (i.e. the electron density, <i>N</i><sub><i>m</i></sub><i>F</i>2, and the height, <i>h</i><sub><i>m</i></sub><i>F</i>2 of the F2 peak), which, in the absence of directly measured values, are computed from the ITU-R database (ITU-R 1997). This database was established using observations collected from 1954 to 1958 by a network of around 150 ionospheric sounders with uneven global coverage. It allows computing monthly median values of <i>N</i><sub><i>m</i></sub><i>F</i>2 and <i>h</i><sub><i>m</i></sub><i>F</i>2 (intra-month variations are averaged), for low and high solar activity. For intermediate solar activity a linear interpolation must be performed. Ground-based GNSS observations from a global network of ~350 receivers are pre-processed in order to retrieve slant total electron content (sTEC) information, and space-based GPS observations (radio occultation data from the FORMOSAT-3/COSMIC constellation) are pre-processed to retrieve electron density (ED) information. Both, sTEC and ED are ingested into the NeQuick-2 model in order to adapt <i>N</i><sub><i>m</i></sub><i>F</i>2 and <i>h</i><sub><i>m</i></sub><i>F</i>2, and reduce simultaneously both, the observed minus computed sTEC and ED differences. The first experimental results presented in this paper suggest that the data ingestion technique is self consistent and able to reduce the observed minus computed sTEC and ED differences to ~25–30% of the values computed from the ITU-R database. Although sTEC and ED are both derived from GPS observations, independent algorithm and models are used to compute their values from ground-based GPS observations and space-based FORMOSAT-3/COSMIC radio occultations. This fact encourages us to pursue this research with the aim to improve the results presented here and assess their accuracy in a reliable way.Facultad de Ciencias Astronómicas y Geofísicas2011-11-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf931-939http://sedici.unlp.edu.ar/handle/10915/132992enginfo:eu-repo/semantics/altIdentifier/issn/0949-7714info:eu-repo/semantics/altIdentifier/issn/1432-1394info:eu-repo/semantics/altIdentifier/doi/10.1007/s00190-011-0452-4info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:23:33Zoai:sedici.unlp.edu.ar:10915/132992Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:23:34.284SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Ground- and space-based GPS data ingestion into the NeQuick model
title Ground- and space-based GPS data ingestion into the NeQuick model
spellingShingle Ground- and space-based GPS data ingestion into the NeQuick model
Brunini, Claudio Antonio
Ingeniería
Ionosphere
GPS
FORMOSAT-3/COSMIC
NeQuick-2
ITU-R-database
Data ingestion
title_short Ground- and space-based GPS data ingestion into the NeQuick model
title_full Ground- and space-based GPS data ingestion into the NeQuick model
title_fullStr Ground- and space-based GPS data ingestion into the NeQuick model
title_full_unstemmed Ground- and space-based GPS data ingestion into the NeQuick model
title_sort Ground- and space-based GPS data ingestion into the NeQuick model
dc.creator.none.fl_str_mv Brunini, Claudio Antonio
Azpilicueta, Francisco Javier
Gende, Mauricio Alfredo
Camilion, Emilio
Ángel, A. Aragón
Hernández-Pajares, Manuel
Juan, M.
Sanz, Jaume
Salazar, Dagoberto
author Brunini, Claudio Antonio
author_facet Brunini, Claudio Antonio
Azpilicueta, Francisco Javier
Gende, Mauricio Alfredo
Camilion, Emilio
Ángel, A. Aragón
Hernández-Pajares, Manuel
Juan, M.
Sanz, Jaume
Salazar, Dagoberto
author_role author
author2 Azpilicueta, Francisco Javier
Gende, Mauricio Alfredo
Camilion, Emilio
Ángel, A. Aragón
Hernández-Pajares, Manuel
Juan, M.
Sanz, Jaume
Salazar, Dagoberto
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ingeniería
Ionosphere
GPS
FORMOSAT-3/COSMIC
NeQuick-2
ITU-R-database
Data ingestion
topic Ingeniería
Ionosphere
GPS
FORMOSAT-3/COSMIC
NeQuick-2
ITU-R-database
Data ingestion
dc.description.none.fl_txt_mv This paper presents a technique for ingesting ground- and space-based dual-frequency GPS observations into a semi-empirical global electron density model. The NeQuick-2 model is used as the basis for describing the global electron density distribution. This model is mainly driven by the F2 ionosphere layer parameters (i.e. the electron density, <i>N</i><sub><i>m</i></sub><i>F</i>2, and the height, <i>h</i><sub><i>m</i></sub><i>F</i>2 of the F2 peak), which, in the absence of directly measured values, are computed from the ITU-R database (ITU-R 1997). This database was established using observations collected from 1954 to 1958 by a network of around 150 ionospheric sounders with uneven global coverage. It allows computing monthly median values of <i>N</i><sub><i>m</i></sub><i>F</i>2 and <i>h</i><sub><i>m</i></sub><i>F</i>2 (intra-month variations are averaged), for low and high solar activity. For intermediate solar activity a linear interpolation must be performed. Ground-based GNSS observations from a global network of ~350 receivers are pre-processed in order to retrieve slant total electron content (sTEC) information, and space-based GPS observations (radio occultation data from the FORMOSAT-3/COSMIC constellation) are pre-processed to retrieve electron density (ED) information. Both, sTEC and ED are ingested into the NeQuick-2 model in order to adapt <i>N</i><sub><i>m</i></sub><i>F</i>2 and <i>h</i><sub><i>m</i></sub><i>F</i>2, and reduce simultaneously both, the observed minus computed sTEC and ED differences. The first experimental results presented in this paper suggest that the data ingestion technique is self consistent and able to reduce the observed minus computed sTEC and ED differences to ~25–30% of the values computed from the ITU-R database. Although sTEC and ED are both derived from GPS observations, independent algorithm and models are used to compute their values from ground-based GPS observations and space-based FORMOSAT-3/COSMIC radio occultations. This fact encourages us to pursue this research with the aim to improve the results presented here and assess their accuracy in a reliable way.
Facultad de Ciencias Astronómicas y Geofísicas
description This paper presents a technique for ingesting ground- and space-based dual-frequency GPS observations into a semi-empirical global electron density model. The NeQuick-2 model is used as the basis for describing the global electron density distribution. This model is mainly driven by the F2 ionosphere layer parameters (i.e. the electron density, <i>N</i><sub><i>m</i></sub><i>F</i>2, and the height, <i>h</i><sub><i>m</i></sub><i>F</i>2 of the F2 peak), which, in the absence of directly measured values, are computed from the ITU-R database (ITU-R 1997). This database was established using observations collected from 1954 to 1958 by a network of around 150 ionospheric sounders with uneven global coverage. It allows computing monthly median values of <i>N</i><sub><i>m</i></sub><i>F</i>2 and <i>h</i><sub><i>m</i></sub><i>F</i>2 (intra-month variations are averaged), for low and high solar activity. For intermediate solar activity a linear interpolation must be performed. Ground-based GNSS observations from a global network of ~350 receivers are pre-processed in order to retrieve slant total electron content (sTEC) information, and space-based GPS observations (radio occultation data from the FORMOSAT-3/COSMIC constellation) are pre-processed to retrieve electron density (ED) information. Both, sTEC and ED are ingested into the NeQuick-2 model in order to adapt <i>N</i><sub><i>m</i></sub><i>F</i>2 and <i>h</i><sub><i>m</i></sub><i>F</i>2, and reduce simultaneously both, the observed minus computed sTEC and ED differences. The first experimental results presented in this paper suggest that the data ingestion technique is self consistent and able to reduce the observed minus computed sTEC and ED differences to ~25–30% of the values computed from the ITU-R database. Although sTEC and ED are both derived from GPS observations, independent algorithm and models are used to compute their values from ground-based GPS observations and space-based FORMOSAT-3/COSMIC radio occultations. This fact encourages us to pursue this research with the aim to improve the results presented here and assess their accuracy in a reliable way.
publishDate 2011
dc.date.none.fl_str_mv 2011-11-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/132992
url http://sedici.unlp.edu.ar/handle/10915/132992
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/0949-7714
info:eu-repo/semantics/altIdentifier/issn/1432-1394
info:eu-repo/semantics/altIdentifier/doi/10.1007/s00190-011-0452-4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
931-939
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