期刊
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY
卷 64, 期 -, 页码 -出版社
CO-ACTION PUBLISHING
DOI: 10.3402/tellusa.v64i0.18375
关键词
PODEn4Dvar; square-root analysis; hybrid spatial localisation; En4Dvar
资金
- Chinese Academy of Sciences [KZCX2-EW-QN207]
- National Natural Science Foundation of China [41075076]
- National Basic Research Program [2010CB428403, 2009CB421407]
The main purpose of this study is to propose a hybrid localisation technique for the proper orthogonal decomposition (POD)-based ensemble 4-D variational assimilation (PODEn4DVar) method with the aim of facilitating its implementation. This hybrid localisation scheme takes full advantages of both the implicit and explicit localisations and is relatively easy to be achieved by parallel programming. Besides, to strengthen its performance, we also incorporate a square root analysis scheme into the PODEn4DVar instead of its original one. The feasibility and effectiveness of the modified PODEn4DVar are demonstrated in a 2-D shallow-water equation model with simulated observations. It is found that the PODEn4DVar performs robust and is capable of outperforming the local ensemble transform Kalman filter (LETKF), its 4-D extension 4D-LETKF and another En4DVar method under both perfect-and imperfect-model scenarios.
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