An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation
Geomagnetic data assimilation is one of the most recent developments in geomagnetic studies. It combines geodynamo model outputs and surface geomagnetic observations to provide more accurate estimates of the core dynamic state and provide accurate geomagnetic secular variation forecasting. To facili...
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| Format: | Article |
| Language: | English |
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Springer
2015-01-01
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| Series: | Terrestrial, Atmospheric and Oceanic Sciences |
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| Online Access: |
http://tao.cgu.org.tw/pdf/v261p053.pdf
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| _version_ | 1818038169267863552 |
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| author | Zhibin Sun and Weijia Kuang |
| author_facet | Zhibin Sun and Weijia Kuang |
| author_sort | Zhibin Sun and Weijia Kuang |
| collection | DOAJ |
| description | Geomagnetic data assimilation is one of the most recent developments in geomagnetic studies. It combines geodynamo model outputs and surface geomagnetic observations to provide more accurate estimates of the core dynamic state and provide accurate geomagnetic secular variation forecasting. To facilitate geomagnetic data assimilation studies, we develop a stand-alone data assimilation component for the geomagnetic community. This component is used to calculate the forecast error covariance matrices and the gain matrix from a given geodynamo solution, which can then be used for sequential geomagnetic data assimilation. This component is very flexible and can be executed independently. It can also be easily integrated with arbitrary dynamo models. |
| first_indexed | 2024-12-10T07:38:28Z |
| format | Article |
| id | doaj.art-22dee8cc00714271b228081d67bf362a |
| institution | Directory Open Access Journal |
| issn | 1017-0839 2311-7680 |
| language | English |
| last_indexed | 2024-12-10T07:38:28Z |
| publishDate | 2015-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Terrestrial, Atmospheric and Oceanic Sciences |
| spelling | doaj.art-22dee8cc00714271b228081d67bf362a2022-12-22T01:57:21ZengSpringerTerrestrial, Atmospheric and Oceanic Sciences1017-08392311-76802015-01-012615310.3319/TAO.2014.08.19.05(GRT)1265An Ensemble Algorithm Based Component for Geomagnetic Data AssimilationZhibin Sun and Weijia KuangGeomagnetic data assimilation is one of the most recent developments in geomagnetic studies. It combines geodynamo model outputs and surface geomagnetic observations to provide more accurate estimates of the core dynamic state and provide accurate geomagnetic secular variation forecasting. To facilitate geomagnetic data assimilation studies, we develop a stand-alone data assimilation component for the geomagnetic community. This component is used to calculate the forecast error covariance matrices and the gain matrix from a given geodynamo solution, which can then be used for sequential geomagnetic data assimilation. This component is very flexible and can be executed independently. It can also be easily integrated with arbitrary dynamo models. http://tao.cgu.org.tw/pdf/v261p053.pdf geophysicsgeologyatmospheric sciencespace scienceoceanic sciencehydrology |
| spellingShingle | Zhibin Sun and Weijia Kuang An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation Terrestrial, Atmospheric and Oceanic Sciences geophysics geology atmospheric science space science oceanic science hydrology |
| title | An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation |
| title_full | An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation |
| title_fullStr | An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation |
| title_full_unstemmed | An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation |
| title_short | An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation |
| title_sort | ensemble algorithm based component for geomagnetic data assimilation |
| topic | geophysics geology atmospheric science space science oceanic science hydrology |
| url |
http://tao.cgu.org.tw/pdf/v261p053.pdf
|
| work_keys_str_mv | AT zhibinsunandweijiakuang anensemblealgorithmbasedcomponentforgeomagneticdataassimilation AT zhibinsunandweijiakuang ensemblealgorithmbasedcomponentforgeomagneticdataassimilation |