IOCAS-IR  > 海洋环流与波动重点实验室
UNIFICATION AND APPLICATIONS OF MODERN OCEANIC/ATMOSPHERIC DATA ASSIMILATION ALGORITHMS
Qiao Fang-li1,2,3; Zhang Shao-qing4; Yuan Ye-li2
2004
Source PublicationJOURNAL OF HYDRODYNAMICS
Volume16Issue:5Pages:501-517
SubtypeArticle
AbstractThe key mathematics and applications of various modern atmospheric/oceanic data assimilation methods including Optimal Interpolation (OI), 4-dimensional variational approach (4D-Var) and filters were systematically reviewed and classified. Based on the data assimilation philosophy, i. e., using model dynamics to extract the observational information, the common character of the problem, such as the probabilistic nature of the evolution of the atmospheric/oceanic system, noisy and irregularly spaced observations, and the advantages and disadvantages of these data assimilation algorithms, were discussed. In the filtering framework, all modern data assimilation algorithms were unified: OI/3D-Var is a stationary filter, 4D-Var is a linear (Kalman) filter and an ensemble of Kalman filters is able to construct a nonlinear filter. The nonlinear filter such as the Ensemble Kalman Filter (ENKF), Ensemble Adjustment Kalman Filter (EAKF) and Ensemble Transformation Kalman Filter (ETKF) can, to some extent, account for the non-Gaussian information of the prior distribution from the model. The flow-dependent covariance estimated by an ensemble filter may be introduced to OI and 4D-Var to improve these traditional algorithms. In practice, the performance of algorithms may depend on the specific numerical model and the choice of algorithm may depend on the specific problem. However, the unification of algorithms allows us to establish a unified test system to evaluate these algorithms, which provides more insights into data assimilation philosophies and helps improve data assimilation techniques.
KeywordData Assimilation Oceanic/atmospheric System Filtering Optimal Interpolation (Oi) 4-dimensional Variational(4d-var) Approach
Indexed BySCI
Language英语
WOS IDWOS:000208261100001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/33013
Collection海洋环流与波动重点实验室
Affiliation1.Chinese Acad Sci, Inst Oceanog, Qingdao 266071, Peoples R China
2.State Ocean Adm, Key Lab Marine Sci & Numer Modeling, Inst Oceanog 1, Qingdao 266061, Peoples R China
3.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
4.Princeton Univ, Geophys Fluid Dynam Lab, Princeton, NJ 08542 USA
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Qiao Fang-li,Zhang Shao-qing,Yuan Ye-li. UNIFICATION AND APPLICATIONS OF MODERN OCEANIC/ATMOSPHERIC DATA ASSIMILATION ALGORITHMS[J]. JOURNAL OF HYDRODYNAMICS,2004,16(5):501-517.
APA Qiao Fang-li,Zhang Shao-qing,&Yuan Ye-li.(2004).UNIFICATION AND APPLICATIONS OF MODERN OCEANIC/ATMOSPHERIC DATA ASSIMILATION ALGORITHMS.JOURNAL OF HYDRODYNAMICS,16(5),501-517.
MLA Qiao Fang-li,et al."UNIFICATION AND APPLICATIONS OF MODERN OCEANIC/ATMOSPHERIC DATA ASSIMILATION ALGORITHMS".JOURNAL OF HYDRODYNAMICS 16.5(2004):501-517.
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