Analysis of different propagation models for the estimation of the topside ionosphere and plasmasphere with an ensemble Kalman filter
<p>The accuracy and availability of satellite-based applications, like Global Navigation Satellite System (GNSS) positioning and remote sensing, crucially depend on the knowledge of the ionospheric electron density distribution. The tomography of the ionosphere is one of the major tools for pr...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-11-01
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| Series: | Annales Geophysicae |
| Online Access: | https://angeo.copernicus.org/articles/38/1171/2020/angeo-38-1171-2020.pdf |
| _version_ | 1818187934754406400 |
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| author | T. Gerzen D. Minkwitz M. Schmidt E. Erdogan |
| author_facet | T. Gerzen D. Minkwitz M. Schmidt E. Erdogan |
| author_sort | T. Gerzen |
| collection | DOAJ |
| description | <p>The accuracy and availability of satellite-based applications, like Global Navigation Satellite System (GNSS) positioning and remote sensing, crucially depend on the knowledge of the ionospheric electron density distribution. The tomography of the ionosphere is one of the major tools for providing links to specific ionospheric corrections and studying and monitoring physical processes in the ionosphere and plasmasphere. In this work, we apply an ensemble Kalman filter (EnKF) approach for the 4D electron density reconstruction of the topside ionosphere and plasmasphere, with the focus on the investigation of different propagation models, and compare them with the iterative reconstruction technique of simultaneous multiplicative column normalized method plus (SMART<span class="inline-formula">+</span>). The slant total electron content (STEC) measurements of 11 low earth orbit (LEO) satellites are assimilated into the reconstructions. We conduct a case study on a global grid with altitudes between 430 and 20 200 km, for two periods of the year 2015, covering quiet to perturbed ionospheric conditions. Particularly the performance of the methods for estimating independent STEC and electron density measurements from the three Swarm satellites is analysed. The results indicate that the methods of EnKF, with exponential decay as the propagation model, and SMART<span class="inline-formula">+</span> perform best, providing, in summary, the lowest residuals.</p> |
| first_indexed | 2024-12-11T23:18:55Z |
| format | Article |
| id | doaj.art-14ab45ffebb9490690d36e5d608fa1d0 |
| institution | Directory Open Access Journal |
| issn | 0992-7689 1432-0576 |
| language | English |
| last_indexed | 2024-12-11T23:18:55Z |
| publishDate | 2020-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Annales Geophysicae |
| spelling | doaj.art-14ab45ffebb9490690d36e5d608fa1d02022-12-22T00:46:25ZengCopernicus PublicationsAnnales Geophysicae0992-76891432-05762020-11-01381171118910.5194/angeo-38-1171-2020Analysis of different propagation models for the estimation of the topside ionosphere and plasmasphere with an ensemble Kalman filterT. Gerzen0D. Minkwitz1M. Schmidt2E. Erdogan3Technical University Munich (TUM), Deutsches Geodätisches Forschungsinstitut (DGFI), Arcisstraße 21, Munich, GermanyAirbus Defence and Space GmbH, Robert-Koch-Straße 1, Taufkirchen, GermanyTechnical University Munich (TUM), Deutsches Geodätisches Forschungsinstitut (DGFI), Arcisstraße 21, Munich, GermanyTechnical University Munich (TUM), Deutsches Geodätisches Forschungsinstitut (DGFI), Arcisstraße 21, Munich, Germany<p>The accuracy and availability of satellite-based applications, like Global Navigation Satellite System (GNSS) positioning and remote sensing, crucially depend on the knowledge of the ionospheric electron density distribution. The tomography of the ionosphere is one of the major tools for providing links to specific ionospheric corrections and studying and monitoring physical processes in the ionosphere and plasmasphere. In this work, we apply an ensemble Kalman filter (EnKF) approach for the 4D electron density reconstruction of the topside ionosphere and plasmasphere, with the focus on the investigation of different propagation models, and compare them with the iterative reconstruction technique of simultaneous multiplicative column normalized method plus (SMART<span class="inline-formula">+</span>). The slant total electron content (STEC) measurements of 11 low earth orbit (LEO) satellites are assimilated into the reconstructions. We conduct a case study on a global grid with altitudes between 430 and 20 200 km, for two periods of the year 2015, covering quiet to perturbed ionospheric conditions. Particularly the performance of the methods for estimating independent STEC and electron density measurements from the three Swarm satellites is analysed. The results indicate that the methods of EnKF, with exponential decay as the propagation model, and SMART<span class="inline-formula">+</span> perform best, providing, in summary, the lowest residuals.</p>https://angeo.copernicus.org/articles/38/1171/2020/angeo-38-1171-2020.pdf |
| spellingShingle | T. Gerzen D. Minkwitz M. Schmidt E. Erdogan Analysis of different propagation models for the estimation of the topside ionosphere and plasmasphere with an ensemble Kalman filter Annales Geophysicae |
| title | Analysis of different propagation models for the estimation of the topside ionosphere and plasmasphere with an ensemble Kalman filter |
| title_full | Analysis of different propagation models for the estimation of the topside ionosphere and plasmasphere with an ensemble Kalman filter |
| title_fullStr | Analysis of different propagation models for the estimation of the topside ionosphere and plasmasphere with an ensemble Kalman filter |
| title_full_unstemmed | Analysis of different propagation models for the estimation of the topside ionosphere and plasmasphere with an ensemble Kalman filter |
| title_short | Analysis of different propagation models for the estimation of the topside ionosphere and plasmasphere with an ensemble Kalman filter |
| title_sort | analysis of different propagation models for the estimation of the topside ionosphere and plasmasphere with an ensemble kalman filter |
| url | https://angeo.copernicus.org/articles/38/1171/2020/angeo-38-1171-2020.pdf |
| work_keys_str_mv | AT tgerzen analysisofdifferentpropagationmodelsfortheestimationofthetopsideionosphereandplasmaspherewithanensemblekalmanfilter AT dminkwitz analysisofdifferentpropagationmodelsfortheestimationofthetopsideionosphereandplasmaspherewithanensemblekalmanfilter AT mschmidt analysisofdifferentpropagationmodelsfortheestimationofthetopsideionosphereandplasmaspherewithanensemblekalmanfilter AT eerdogan analysisofdifferentpropagationmodelsfortheestimationofthetopsideionosphereandplasmaspherewithanensemblekalmanfilter |