The structure of background-error covariance in a four-dimensional variational data assimilation system: single-point experiment
文献类型：期刊论文
| 作者 | Liu Juanjuan1; Wang Bin1; Wang Shudong1,2 |
| 刊名 | Advances in atmospheric sciences
 |
| 出版日期 | 2010-11-01 |
| 卷号 | 27期号:6页码:1303-1310 |
| 关键词 | Drp-4dvar Data assimilation Flow dependence Single-point experiment |
| ISSN号 | 0256-1530 |
| DOI | 10.1007/s00376-010-9067-6 |
| 通讯作者 | Wang bin(wab@lasg.iap.ac.cn) |
| 英文摘要 | A four dimensional variational data assimilation (4dvar) based on a dimension-reduced projection (drp-4dvar) has been developed as a hybrid of the 4dvar and ensemble kalman filter (enkf) concepts. its good flow-dependent features are demonstrated in single-point experiments through comparisons with adjoint-based 4dvar and three-dimensional variational data (3dvar) assimilations using the fifth-generation pennsylvania state university-national center for atmospheric research mesoscale model (mm5). the results reveal that drp-4dvar can reasonably generate a background error covariance matrix (simply b-matrix) during the assimilation window from an initial estimation using a number of initial condition dependent historical forecast samples. in contrast, flow-dependence in the b-matrix of mm5 4dvar is barely detectable. it is argued that use of diagonal estimation in the b-matrix of the mm5 4dvar method at the initial time leads to this failure. the experiments also show that the increments produced by drp-4dvar are anisotropic and no longer symmetric with respect to observation location due to the effects of the weather trends captured in its b-matrix. this differs from the mm5 3dvar which does not consider the influence of heterogeneous forcing on the correlation structure of the b-matrix, a condition that is realistic for many situations. thus, the mm5 3dvar assimilation could only present an isotropic and homogeneous structure in its increments. |
| WOS关键词 | SIMULATION ; SCHEME ; 4D-VAR ; PREDICTION |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| WOS类目 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000283136900007 |
| 出版者 | SCIENCE PRESS |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2406860 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Wang Bin |
| 作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu Juanjuan,Wang Bin,Wang Shudong. The structure of background-error covariance in a four-dimensional variational data assimilation system: single-point experiment[J]. Advances in atmospheric sciences,2010,27(6):1303-1310. |
| APA | Liu Juanjuan,Wang Bin,&Wang Shudong.(2010).The structure of background-error covariance in a four-dimensional variational data assimilation system: single-point experiment.Advances in atmospheric sciences,27(6),1303-1310. |
| MLA | Liu Juanjuan,et al."The structure of background-error covariance in a four-dimensional variational data assimilation system: single-point experiment".Advances in atmospheric sciences 27.6(2010):1303-1310. |
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来源：中国科学院大学
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