Improving SIRGAS Ionospheric Model

Autores
Brunini, Claudio Antonio; Azpilicueta, Francisco Javier; Gende, Mauricio Alfredo; Camilion, Emilio; Gularte Scarone, Ángela Erika
Año de publicación
2013
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The IAG Sub-Commission 1.3b, SIRGAS (Sistema de Referencia Geoce´ntrico para las Ame´ricas), operates a service for computing regional ionospheric maps based on GNSS observations from its Continuously Operating Network (SIRGAS-CON). The ionospheric model used by SIRGAS (named La Plata Ionopsheric Model, LPIM), has continuously evolved from a “thin layer” simplification for computing the vTEC distribution to a formulation that approximates the electron density (ED) distributions of the E, F1, F2 and top-side ionospheric layers. This contribution presents the newest improvements in the model formulation and validates the obtained results by comparing the computed vTEC to experimental values provided by the ocean altimetry Jason 1 mission. Comparisons showed a small underestimation of the Jason 1 vTEC by about 1.3 TECu on average and rather small differences ranging from 0.5 to 3.4 TECu (at 95 % probability level). The results are encouraging given that comparisons were made in the open ocean regions (far away from the SIRGAS-CON stations).
Trabajo publicado en Altamimi Z., Collilieux X. (eds). Reference Frames for Applications in Geosciences. International Association of Geodesy Symposia, vol 138. Springer, Berlin, Heidelberg.
Facultad de Ciencias Astronómicas y Geofísicas
Materia
Geofísica
Ionosphere
GNSS
SIRGAS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/131927

id SEDICI_109126799efd6fb4a036751284321912
oai_identifier_str oai:sedici.unlp.edu.ar:10915/131927
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Improving SIRGAS Ionospheric ModelBrunini, Claudio AntonioAzpilicueta, Francisco JavierGende, Mauricio AlfredoCamilion, EmilioGularte Scarone, Ángela ErikaGeofísicaIonosphereGNSSSIRGASThe IAG Sub-Commission 1.3b, SIRGAS (Sistema de Referencia Geoce´ntrico para las Ame´ricas), operates a service for computing regional ionospheric maps based on GNSS observations from its Continuously Operating Network (SIRGAS-CON). The ionospheric model used by SIRGAS (named La Plata Ionopsheric Model, LPIM), has continuously evolved from a “thin layer” simplification for computing the vTEC distribution to a formulation that approximates the electron density (ED) distributions of the E, F1, F2 and top-side ionospheric layers. This contribution presents the newest improvements in the model formulation and validates the obtained results by comparing the computed vTEC to experimental values provided by the ocean altimetry Jason 1 mission. Comparisons showed a small underestimation of the Jason 1 vTEC by about 1.3 TECu on average and rather small differences ranging from 0.5 to 3.4 TECu (at 95 % probability level). The results are encouraging given that comparisons were made in the open ocean regions (far away from the SIRGAS-CON stations).Trabajo publicado en Altamimi Z., Collilieux X. (eds). <i>Reference Frames for Applications in Geosciences</i>. International Association of Geodesy Symposia, vol 138. Springer, Berlin, Heidelberg.Facultad de Ciencias Astronómicas y Geofísicas2013info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf261-266http://sedici.unlp.edu.ar/handle/10915/131927spainfo:eu-repo/semantics/altIdentifier/issn/0939-9585info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-32998-2_37info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:24:04Zoai:sedici.unlp.edu.ar:10915/131927Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:24:04.519SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Improving SIRGAS Ionospheric Model
title Improving SIRGAS Ionospheric Model
spellingShingle Improving SIRGAS Ionospheric Model
Brunini, Claudio Antonio
Geofísica
Ionosphere
GNSS
SIRGAS
title_short Improving SIRGAS Ionospheric Model
title_full Improving SIRGAS Ionospheric Model
title_fullStr Improving SIRGAS Ionospheric Model
title_full_unstemmed Improving SIRGAS Ionospheric Model
title_sort Improving SIRGAS Ionospheric Model
dc.creator.none.fl_str_mv Brunini, Claudio Antonio
Azpilicueta, Francisco Javier
Gende, Mauricio Alfredo
Camilion, Emilio
Gularte Scarone, Ángela Erika
author Brunini, Claudio Antonio
author_facet Brunini, Claudio Antonio
Azpilicueta, Francisco Javier
Gende, Mauricio Alfredo
Camilion, Emilio
Gularte Scarone, Ángela Erika
author_role author
author2 Azpilicueta, Francisco Javier
Gende, Mauricio Alfredo
Camilion, Emilio
Gularte Scarone, Ángela Erika
author2_role author
author
author
author
dc.subject.none.fl_str_mv Geofísica
Ionosphere
GNSS
SIRGAS
topic Geofísica
Ionosphere
GNSS
SIRGAS
dc.description.none.fl_txt_mv The IAG Sub-Commission 1.3b, SIRGAS (Sistema de Referencia Geoce´ntrico para las Ame´ricas), operates a service for computing regional ionospheric maps based on GNSS observations from its Continuously Operating Network (SIRGAS-CON). The ionospheric model used by SIRGAS (named La Plata Ionopsheric Model, LPIM), has continuously evolved from a “thin layer” simplification for computing the vTEC distribution to a formulation that approximates the electron density (ED) distributions of the E, F1, F2 and top-side ionospheric layers. This contribution presents the newest improvements in the model formulation and validates the obtained results by comparing the computed vTEC to experimental values provided by the ocean altimetry Jason 1 mission. Comparisons showed a small underestimation of the Jason 1 vTEC by about 1.3 TECu on average and rather small differences ranging from 0.5 to 3.4 TECu (at 95 % probability level). The results are encouraging given that comparisons were made in the open ocean regions (far away from the SIRGAS-CON stations).
Trabajo publicado en Altamimi Z., Collilieux X. (eds). <i>Reference Frames for Applications in Geosciences</i>. International Association of Geodesy Symposia, vol 138. Springer, Berlin, Heidelberg.
Facultad de Ciencias Astronómicas y Geofísicas
description The IAG Sub-Commission 1.3b, SIRGAS (Sistema de Referencia Geoce´ntrico para las Ame´ricas), operates a service for computing regional ionospheric maps based on GNSS observations from its Continuously Operating Network (SIRGAS-CON). The ionospheric model used by SIRGAS (named La Plata Ionopsheric Model, LPIM), has continuously evolved from a “thin layer” simplification for computing the vTEC distribution to a formulation that approximates the electron density (ED) distributions of the E, F1, F2 and top-side ionospheric layers. This contribution presents the newest improvements in the model formulation and validates the obtained results by comparing the computed vTEC to experimental values provided by the ocean altimetry Jason 1 mission. Comparisons showed a small underestimation of the Jason 1 vTEC by about 1.3 TECu on average and rather small differences ranging from 0.5 to 3.4 TECu (at 95 % probability level). The results are encouraging given that comparisons were made in the open ocean regions (far away from the SIRGAS-CON stations).
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/131927
url http://sedici.unlp.edu.ar/handle/10915/131927
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/0939-9585
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-32998-2_37
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
261-266
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1846064294929629184
score 13.22299