| A Local Implementation of the POD-Based Ensemble 4DVar with R-Localization简 |
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| 作者姓名： | TIAN Xiang-Jun |
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| 基金项目： | supported by the National Natural Science Foundation of China （Grant No.41075076）; the National High Technology Research and Development Program of China （Grant No.2013AA122002）; the Knowledge Innovation Program of the Chinese Academy of Sciences （Grant No.KZCX2- EW-QN207）; and the National Basic Research Program of China （Grant Nos.2010CB428403 and 2009CB421407） |
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| 摘 要： | The purpose of this paper is to provide a robust and flexible implementation of a proper orthogonal decomposition-based ensemble four-dimensional variational assimilation method（PODEn4DVar） through Rlocalization.With R-localization,the implementation of the local PODEn4DVar analysis can be coded for parallelization with enhanced assimilation precision.The feasibility and effectiveness of the PODEn4DVar local implementation with R-localization are demonstrated in a two-dimensional shallow-water equation model with simulated observations（OSSEs） in comparison with the original version of the PODEn4DVar with B-localization and that without localization.The performance of the PODEn4DVar with localization shows a significant improvement over the scheme with no localization,particularly under the imperfect model scenario.Moreover,the R-localization scheme is capable of outperforming the Blocalization case to a certain extent.Further,the assimilation experiments also demonstrate that PODEn4DVar with R-localization is most efficient due to its easy parallel implementation.
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| 关 键 词： | PODEn4DVar R-localization local implementation |
A Local Implementation of the POD-Based Ensemble 4DVar with R-Localization |
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| TIAN Xiang-Jun.A Local Implementation of the POD-Based Ensemble 4DVar with R-Localization[J].Atmospheric and Oceanic Science Letters,2014(1):11-16. |
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| Authors: | TIAN Xiang-Jun |
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| Affiliation: | [1]International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; [2]State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China |
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