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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Detalles Bibliográficos
Autores: Olivares Pulido, Germán|||0000-0002-9604-6753, Hernández Pajares, Manuel|||0000-0002-9687-5850, Monte Moreno, Enrique|||0000-0002-4907-0494, Lyu, Haixia, Graffigna, Victoria|||0000-0001-6903-5891, Cardellach Galí, Estel, Mainul Hoque, Mohammed, Prol, Fabricio dos Santos, Notarpietro, Riccardo, García Fernández, Miquel|||0000-0003-4844-6004
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/392370
Acceso en línea:https://hdl.handle.net/2117/392370
https://dx.doi.org/10.3390/rs15123176
Access Level:acceso abierto
Palabra clave:Tomography
Ionosphere
Radio occultation
GNSS
Tomografia
Ionosfera
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
Descripción
Sumario: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.

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