Using the local ensemble Transform Kalman Filter for upper atmospheric modelling
The Advanced Ensemble electron density (Ne) Assimilation System (AENeAS) is a new data assimilation model of the ionosphere/thermosphere. The background model is provided by the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIE-GCM) and the assimilation uses the local ensemble t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | Journal of Space Weather and Space Climate |
| Subjects: | |
| Online Access: | https://www.swsc-journal.org/articles/swsc/full_html/2019/01/swsc180038/swsc180038.html |
| _version_ | 1818945486440103936 |
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| author | Elvidge Sean Angling Matthew J. |
| author_facet | Elvidge Sean Angling Matthew J. |
| author_sort | Elvidge Sean |
| collection | DOAJ |
| description | The Advanced Ensemble electron density (Ne) Assimilation System (AENeAS) is a new data assimilation model of the ionosphere/thermosphere. The background model is provided by the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIE-GCM) and the assimilation uses the local ensemble transform Kalman filter (LETKF). An outline derivation of the LETKF is provided and the equations are presented in a form analogous to the classic Kalman filter. An enhancement to the efficient LETKF implementation to reduce computational cost is also described. In a 3 day test in June 2017, AENeAS exhibits a total electron content (TEC) RMS error of 2.1 TECU compared with 5.5 TECU for NeQuick and 6.8 for TIE-GCM (with an NeQuick topside). |
| first_indexed | 2024-12-20T07:59:53Z |
| format | Article |
| id | doaj.art-07b95662fdfc410da71aa3b38d8c7243 |
| institution | Directory Open Access Journal |
| issn | 2115-7251 |
| language | English |
| last_indexed | 2024-12-20T07:59:53Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Journal of Space Weather and Space Climate |
| spelling | doaj.art-07b95662fdfc410da71aa3b38d8c72432022-12-21T19:47:32ZengEDP SciencesJournal of Space Weather and Space Climate2115-72512019-01-019A3010.1051/swsc/2019018swsc180038Using the local ensemble Transform Kalman Filter for upper atmospheric modellingElvidge SeanAngling Matthew J.The Advanced Ensemble electron density (Ne) Assimilation System (AENeAS) is a new data assimilation model of the ionosphere/thermosphere. The background model is provided by the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIE-GCM) and the assimilation uses the local ensemble transform Kalman filter (LETKF). An outline derivation of the LETKF is provided and the equations are presented in a form analogous to the classic Kalman filter. An enhancement to the efficient LETKF implementation to reduce computational cost is also described. In a 3 day test in June 2017, AENeAS exhibits a total electron content (TEC) RMS error of 2.1 TECU compared with 5.5 TECU for NeQuick and 6.8 for TIE-GCM (with an NeQuick topside).https://www.swsc-journal.org/articles/swsc/full_html/2019/01/swsc180038/swsc180038.htmldata assimilationensemble Kalman filterLETKFionospherethermosphere |
| spellingShingle | Elvidge Sean Angling Matthew J. Using the local ensemble Transform Kalman Filter for upper atmospheric modelling Journal of Space Weather and Space Climate data assimilation ensemble Kalman filter LETKF ionosphere thermosphere |
| title | Using the local ensemble Transform Kalman Filter for upper atmospheric modelling |
| title_full | Using the local ensemble Transform Kalman Filter for upper atmospheric modelling |
| title_fullStr | Using the local ensemble Transform Kalman Filter for upper atmospheric modelling |
| title_full_unstemmed | Using the local ensemble Transform Kalman Filter for upper atmospheric modelling |
| title_short | Using the local ensemble Transform Kalman Filter for upper atmospheric modelling |
| title_sort | using the local ensemble transform kalman filter for upper atmospheric modelling |
| topic | data assimilation ensemble Kalman filter LETKF ionosphere thermosphere |
| url | https://www.swsc-journal.org/articles/swsc/full_html/2019/01/swsc180038/swsc180038.html |
| work_keys_str_mv | AT elvidgesean usingthelocalensembletransformkalmanfilterforupperatmosphericmodelling AT anglingmatthewj usingthelocalensembletransformkalmanfilterforupperatmosphericmodelling |