globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2013JD019838
论文题名:
Conditions for successful data assimilation
作者: Chorin A.J.; Morzfeld M.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期:20
起始页码: 11522
结束页码: 11533
语种: 英语
英文关键词: data assimilation ; effective dimension ; Kalman filter ; particle filters ; variational data assimilation
Scopus关键词: Kalman filters ; Monte Carlo methods ; Data assimilation ; Data assimilation algorithms ; Effective dimensions ; Idealized models ; Numerical data ; Particle filter ; Variational data assimilation ; Variational methods ; Data processing ; algorithm ; data assimilation ; data processing ; Kalman filter ; numerical model
英文摘要: We show, using idealized models, that numerical data assimilation can be successful only if an effective dimension of the problem is not excessive. This effective dimension depends on the noise in the model and the data, and in physically reasonable problems, it can be moderate even when the number of variables is huge. We then analyze several data assimilation algorithms, including particle filters and variational methods. We show that well-designed particle filters can solve most of those data assimilation problems that can be solved in principle and compare the conditions under which variational methods can succeed to the conditions required of particle filters. We also discuss the limitations of our analysis. Key Points Data assimilation is feasible only if an effective dimension is moderate The effective dimension is moderate, if the noise satisfies a balance condition Particle filters can work, even if the dimension of the problem is large ©2013. American Geophysical Union. All Rights Reserved.
资助项目: DE-AC02-05CH11231 ; DMS-1217065
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63202
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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作者单位: Department of Mathematics, University of California, Berkeley CA, United States; Lawrence Berkeley National Laboratory, 1 Cyclotron Rd., Berkeley, CA 94720, United States

Recommended Citation:
Chorin A.J.,Morzfeld M.. Conditions for successful data assimilation[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(20)
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