Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio Occultations

This paper presents a new way of combining Abel inversion and the Chapman model with a linearly increasing scale height to retrieve ionospheric electron density vertical profiles from truncated-sounding radio-occultation data. A linear Vary–Chap model is used to cover the blind region due to data tr...

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Autores: Olivares-Pulido, Germán, Hernández-Pajares, Manuel, Monte-Moreno, Enric, Lyu, Haixia, Graffigna, Victoria, Cardellach, Estel, Hoque, Mainul M., Prol, Fabricio S., Notarpietro, Riccardo, García-Fernández, Miquel
Formato: otro
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/330373
Acesso em linha:http://hdl.handle.net/10261/330373
Access Level:acceso abierto
Palavra-chave:Ionosphere
Radio occultation
GNSS
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spelling Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio OccultationsOlivares-Pulido, GermánHernández-Pajares, ManuelMonte-Moreno, EnricLyu, HaixiaGraffigna, VictoriaCardellach, EstelHoque, Mainul M.Prol, Fabricio S.Notarpietro, RiccardoGarcía-Fernández, MiquelIonosphereRadio occultationGNSSThis paper presents a new way of combining Abel inversion and the Chapman model with a linearly increasing scale height to retrieve ionospheric electron density vertical profiles from truncated-sounding radio-occultation data. A linear Vary–Chap model is used to cover the blind region due to data truncation, with parameters estimated by enumeration of the possible values in a grid centered around a set of parameters compatible with ionospheric physics. The resulting electron density is estimated with its corresponding error from the linear least-squares solution presenting the smaller post-fit residual on the input GNSS carrier-phase measurements. The results, tested on a set of representative GNSS RO measurements obtained by COSMIC/FORMOSAT-3, show that this method can retrieve EDVPs with a predominant absolute and relative error of 1010e−m−3 and 5%, respectively, and in less than 10 s per profile, which makes this method suitable for near real-time applications in upcoming missions such as EUMETSAT Polar System-Second Generation.Multidisciplinary Digital Publishing InstituteConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2023202320232023info:eu-repo/semantics/otherhttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10261/330373reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.3390/rs15123176Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3303732026-05-22T06:33:51Z
dc.title.none.fl_str_mv Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio Occultations
title Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio Occultations
spellingShingle Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio Occultations
Olivares-Pulido, Germán
Ionosphere
Radio occultation
GNSS
title_short Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio Occultations
title_full Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio Occultations
title_fullStr Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio Occultations
title_full_unstemmed Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio Occultations
title_sort Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio Occultations
dc.creator.none.fl_str_mv Olivares-Pulido, Germán
Hernández-Pajares, Manuel
Monte-Moreno, Enric
Lyu, Haixia
Graffigna, Victoria
Cardellach, Estel
Hoque, Mainul M.
Prol, Fabricio S.
Notarpietro, Riccardo
García-Fernández, Miquel
author Olivares-Pulido, Germán
author_facet Olivares-Pulido, Germán
Hernández-Pajares, Manuel
Monte-Moreno, Enric
Lyu, Haixia
Graffigna, Victoria
Cardellach, Estel
Hoque, Mainul M.
Prol, Fabricio S.
Notarpietro, Riccardo
García-Fernández, Miquel
author_role author
author2 Hernández-Pajares, Manuel
Monte-Moreno, Enric
Lyu, Haixia
Graffigna, Victoria
Cardellach, Estel
Hoque, Mainul M.
Prol, Fabricio S.
Notarpietro, Riccardo
García-Fernández, Miquel
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Ionosphere
Radio occultation
GNSS
topic Ionosphere
Radio occultation
GNSS
description This paper presents a new way of combining Abel inversion and the Chapman model with a linearly increasing scale height to retrieve ionospheric electron density vertical profiles from truncated-sounding radio-occultation data. A linear Vary–Chap model is used to cover the blind region due to data truncation, with parameters estimated by enumeration of the possible values in a grid centered around a set of parameters compatible with ionospheric physics. The resulting electron density is estimated with its corresponding error from the linear least-squares solution presenting the smaller post-fit residual on the input GNSS carrier-phase measurements. The results, tested on a set of representative GNSS RO measurements obtained by COSMIC/FORMOSAT-3, show that this method can retrieve EDVPs with a predominant absolute and relative error of 1010e−m−3 and 5%, respectively, and in less than 10 s per profile, which makes this method suitable for near real-time applications in upcoming missions such as EUMETSAT Polar System-Second Generation.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/other
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format other
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/330373
url http://hdl.handle.net/10261/330373
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.3390/rs15123176
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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