Federal Algorithm Design and Numerical Experiments of Ensemble Kalman Filter Data Assimilation Analysis Process
Based on the federated Kalman filter proposed by Carlson with linear systems, we propose a federated computing scheme for the ensemble Kalman filter (EnKF) assimilation analysis process for nonlinear systems, and give an optimal information fusion estimation algorithm weighted by diagonal matrix und...
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| Published in | Journal of physics. Conference series Vol. 2735; no. 1; pp. 12004 - 12010 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
IOP Publishing
01.04.2024
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| ISSN | 1742-6588 1742-6596 1742-6596 |
| DOI | 10.1088/1742-6596/2735/1/012004 |
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| Abstract | Based on the federated Kalman filter proposed by Carlson with linear systems, we propose a federated computing scheme for the ensemble Kalman filter (EnKF) assimilation analysis process for nonlinear systems, and give an optimal information fusion estimation algorithm weighted by diagonal matrix under the linear minimum variance criterion, that is, the assimilation analysis values of each variable in the global estimation are linear combinations of the assimilation analysis values of the corresponding variables in the local estimation of sub-filters, and the calculation of the combination coefficients is given. The federated algorithm of the EnKF assimilation analysis process for nonlinear systems is verified by the Lorenz (1963) system. |
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| AbstractList | Based on the federated Kalman filter proposed by Carlson with linear systems, we propose a federated computing scheme for the ensemble Kalman filter (EnKF) assimilation analysis process for nonlinear systems, and give an optimal information fusion estimation algorithm weighted by diagonal matrix under the linear minimum variance criterion, that is, the assimilation analysis values of each variable in the global estimation are linear combinations of the assimilation analysis values of the corresponding variables in the local estimation of sub-filters, and the calculation of the combination coefficients is given. The federated algorithm of the EnKF assimilation analysis process for nonlinear systems is verified by the Lorenz (1963) system. |
| Author | Ye, Song Fu, Yapeng Han, Yueqi Wu, Zhuhui Kou, Zheng |
| Author_xml | – sequence: 1 givenname: Zhuhui surname: Wu fullname: Wu, Zhuhui organization: College of Science, Jinling Institute of Technology , China – sequence: 2 givenname: Yueqi surname: Han fullname: Han, Yueqi organization: College of Meteorology and Oceanology, National University of Defense Technology , China – sequence: 3 givenname: Song surname: Ye fullname: Ye, Song organization: College of Meteorology and Oceanology, National University of Defense Technology , China – sequence: 4 givenname: Yapeng surname: Fu fullname: Fu, Yapeng organization: College of Meteorology and Oceanology, National University of Defense Technology , China – sequence: 5 givenname: Zheng surname: Kou fullname: Kou, Zheng organization: College of Meteorology and Oceanology, National University of Defense Technology , China |
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| Cites_doi | 10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2 10.1109/7.106130 |
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| Title | Federal Algorithm Design and Numerical Experiments of Ensemble Kalman Filter Data Assimilation Analysis Process |
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