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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Published in | Remote sensing (Basel, Switzerland) Vol. 15; no. 12; p. 3176 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.06.2023
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Subjects | |
Online Access | Get full text |
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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. |
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ISSN: | 2072-4292 2072-4292 |
DOI: | 10.3390/rs15123176 |