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...

Full description

Saved in:
Bibliographic Details
Published inRemote sensing (Basel, Switzerland) Vol. 15; no. 12; p. 3176
Main Authors Olivares-Pulido, Germán, Hernández-Pajares, Manuel, Monte-Moreno, Enric, Lyu, Haixia, Graffigna, Victoria, Cardellach, Estel, Hoque, Mainul, Prol, Fabricio S., Notarpietro, Riccardo, Garcia-Fernandez, Miquel
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs15123176