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DOI: 10.1002/2014GL062871
论文题名:
Stochastic modeling of decadal variability in ocean gyres
作者: Kondrashov D.; Berloff P.
刊名: Geophysical Research Letters
ISSN: 0094-8930
EISSN: 1944-8661
出版年: 2015
卷: 42, 期:5
起始页码: 1543
结束页码: 1553
语种: 英语
英文关键词: empirical model reduction ; large-scale oceanic variability ; low-order inverse modeling ; multilayer stochastic closure ; small scales ; stochastic parameterization
Scopus关键词: Inverse problems ; Multilayers ; Oceanography ; Spectrum analysis ; Stochastic systems ; Empirical model ; Inverse modeling ; Oceanic variabilities ; Small scale ; Stochastic closures ; Stochastic models ; decadal variation ; empirical analysis ; fluid dynamics ; gyre ; Markov chain ; nonlinearity ; oceanic circulation ; stochasticity
英文摘要: Decadal large-scale low-frequency variability of the ocean circulation due to its nonlinear dynamics remains a big challenge for theoretical understanding and practical ocean modeling. This paper presents a novel fully data driven approach that addresses this challenge. Proposed is non-Markovian low-order methodology with stochastic closure and use of mode decomposition by multichannel Singular Spectrum Analysis. The multilayer stochastic linear model is obtained from the coarse-grained eddy-resolving ocean model solution, and with high accuracy it reproduces the main statistical properties of the decadal variability. The proposed methodology does not depend on the governing fluid dynamics equations and geometry of the problem, and it can be extended to other ocean models and ultimately to the real data. © 2015. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925861894&doi=10.1002%2f2014GL062871&partnerID=40&md5=54ab13f79e9680d9b519b603c96db05f
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8546
Appears in Collections:科学计划与规划
气候变化与战略

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作者单位: Department of Atmospheric and Oceanic Sciences, Institute of Geophysics and Planetary Physics, University of California, Los Angeles, CA, United States

Recommended Citation:
Kondrashov D.,Berloff P.. Stochastic modeling of decadal variability in ocean gyres[J]. Geophysical Research Letters,2015-01-01,42(5).
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