Three-dimensional data assimilation for ionospheric reference scenarios
The reliable estimation of ionospheric refraction effects is an important topic in the GNSS (Global Navigation Satellite Systems) positioning and navigation domain, especially in safety-of-life applications. This paper describes a three-dimensional ionosphere reconstruction approach that combines...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-02-01
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| Series: | Annales Geophysicae |
| Online Access: | https://www.ann-geophys.net/35/203/2017/angeo-35-203-2017.pdf |
| _version_ | 1818617227967987712 |
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| author | T. Gerzen V. Wilken D. Minkwitz M. M. Hoque S. Schlüter |
| author_facet | T. Gerzen V. Wilken D. Minkwitz M. M. Hoque S. Schlüter |
| author_sort | T. Gerzen |
| collection | DOAJ |
| description | The reliable estimation of ionospheric refraction effects is an important
topic in the GNSS (Global Navigation Satellite Systems) positioning and
navigation domain, especially in safety-of-life applications. This paper
describes a three-dimensional ionosphere reconstruction approach that combines three data
sources with an ionospheric background model: space- and ground-based total electron content
(TEC)
measurements and ionosonde observations. First the background model is
adjusted by F2 layer characteristics, obtained from space-based ionospheric
radio occultation (IRO) profiles and ionosonde data, and secondly the final
electron density distribution is estimated by an algebraic reconstruction
technique.<br><br>The method described is validated by TEC
measurements of independent ground-based GNSS stations, space-based TEC from
the Jason 1 and 2 satellites, and ionosonde observations. A significant
improvement is achieved by the data assimilation, with a decrease in the
residual errors by up to 98 % compared to the initial guess of the
background. Furthermore, the results underpin the capability of space-based
measurements to overcome data gaps in reconstruction areas where less GNSS
ground-station infrastructure exists. |
| first_indexed | 2024-12-16T17:02:21Z |
| format | Article |
| id | doaj.art-c89223822e1a4c739b6600fae7c42f4d |
| institution | Directory Open Access Journal |
| issn | 0992-7689 1432-0576 |
| language | English |
| last_indexed | 2024-12-16T17:02:21Z |
| publishDate | 2017-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Annales Geophysicae |
| spelling | doaj.art-c89223822e1a4c739b6600fae7c42f4d2022-12-21T22:23:41ZengCopernicus PublicationsAnnales Geophysicae0992-76891432-05762017-02-013520321510.5194/angeo-35-203-2017Three-dimensional data assimilation for ionospheric reference scenariosT. Gerzen0V. Wilken1D. Minkwitz2M. M. Hoque3S. Schlüter4German Aerospace Center (DLR), Institute of Communications and Navigation, Kalkhorstweg 53, 17235 Neustrelitz, GermanyGerman Aerospace Center (DLR), Institute of Communications and Navigation, Kalkhorstweg 53, 17235 Neustrelitz, GermanyGerman Aerospace Center (DLR), Institute of Communications and Navigation, Kalkhorstweg 53, 17235 Neustrelitz, GermanyGerman Aerospace Center (DLR), Institute of Communications and Navigation, Kalkhorstweg 53, 17235 Neustrelitz, GermanyEuropean Space Agency ESA – EGNOS Project Office, 31401 Toulouse CEDEX 4, FranceThe reliable estimation of ionospheric refraction effects is an important topic in the GNSS (Global Navigation Satellite Systems) positioning and navigation domain, especially in safety-of-life applications. This paper describes a three-dimensional ionosphere reconstruction approach that combines three data sources with an ionospheric background model: space- and ground-based total electron content (TEC) measurements and ionosonde observations. First the background model is adjusted by F2 layer characteristics, obtained from space-based ionospheric radio occultation (IRO) profiles and ionosonde data, and secondly the final electron density distribution is estimated by an algebraic reconstruction technique.<br><br>The method described is validated by TEC measurements of independent ground-based GNSS stations, space-based TEC from the Jason 1 and 2 satellites, and ionosonde observations. A significant improvement is achieved by the data assimilation, with a decrease in the residual errors by up to 98 % compared to the initial guess of the background. Furthermore, the results underpin the capability of space-based measurements to overcome data gaps in reconstruction areas where less GNSS ground-station infrastructure exists.https://www.ann-geophys.net/35/203/2017/angeo-35-203-2017.pdf |
| spellingShingle | T. Gerzen V. Wilken D. Minkwitz M. M. Hoque S. Schlüter Three-dimensional data assimilation for ionospheric reference scenarios Annales Geophysicae |
| title | Three-dimensional data assimilation for ionospheric reference scenarios |
| title_full | Three-dimensional data assimilation for ionospheric reference scenarios |
| title_fullStr | Three-dimensional data assimilation for ionospheric reference scenarios |
| title_full_unstemmed | Three-dimensional data assimilation for ionospheric reference scenarios |
| title_short | Three-dimensional data assimilation for ionospheric reference scenarios |
| title_sort | three dimensional data assimilation for ionospheric reference scenarios |
| url | https://www.ann-geophys.net/35/203/2017/angeo-35-203-2017.pdf |
| work_keys_str_mv | AT tgerzen threedimensionaldataassimilationforionosphericreferencescenarios AT vwilken threedimensionaldataassimilationforionosphericreferencescenarios AT dminkwitz threedimensionaldataassimilationforionosphericreferencescenarios AT mmhoque threedimensionaldataassimilationforionosphericreferencescenarios AT sschluter threedimensionaldataassimilationforionosphericreferencescenarios |