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Notes and correspondence on ensemble-based three-dimensional variational filters
- Notes and correspondence on ensemble-based three-dimensional variational filters
- Frontiers of Information Technology & Electronic Engineering Vol. 14, Issue 8, Pages: 634-641(2013)
- Affiliations：
College of Computer, National University of Defense Technology, Changsha 410073, China
- Author bio：
[ "Hong-ze LENG, hzleng@nudt.edu.cn" ]
- Funds：
DOI：10.1631/jzus.C1300024
CLC： TP302.7;P409Received：20 January 2013，
Revised：2013-;7-12，
Published：2013-08
- Accepted：
Scan QR Code
Hong-ze LENG, Jun-qiang SONG, Fu-kang YIN, et al. Notes and correspondence on ensemble-based three-dimensional variational filters[J]. Frontiers of Information Technology & Electronic Engineering, 2013, 14(8): 634-641.
Hong-ze LENG, Jun-qiang SONG, Fu-kang YIN, et al. Notes and correspondence on ensemble-based three-dimensional variational filters[J]. Frontiers of Information Technology & Electronic Engineering, 2013, 14(8): 634-641. DOI： 10.1631/jzus.C1300024.
摘要
Abstract
Several ensemble-based three-dimensional variational (3D-Var) filters are compared. These schemes replace the static background error covariance of the traditional 3D-Var with the ensemble forecast error covariance
but generate analysis ensemble anomalies (perturbations) in different ways. However
it is demonstrated in this paper that they are all theoretically equivalent to the ensemble transformation Kalman filter (ETKF). Furthermore
a new method named EnPSAS is presented. The analysis shows that EnPSAS has a small condition number and can apply covariance localization more easily than other ensemble-based 3D-Var methods.
关键词
Keywords
references
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