| DOI: | 10.1002/wcc.122
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| Scopus记录号: | 2-s2.0-79961245512
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| 论文题名: | Parameterizations: Representing key processes in climate models without resolving them |
| 作者: | Mcfarlane N
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| 刊名: | Wiley Interdisciplinary Reviews: Climate Change
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| ISSN: | 17577780
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| 出版年: | 2011
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| 卷: | 2, 期:4 | | 起始页码: | 482
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| 结束页码: | 497
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| 语种: | 英语
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| 英文关键词: | Parameterization
; Stochastic systems
; Closure assumptions
; Equilibrium state
; Expected effects
; Hybrid model
; Key process
; Probability of occurrence
; Selected examples
; Stochastic methods
; Climate models
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| 英文摘要: | A basic requirement of climate models is to account for the effects of processes that cannot be represented in spatial or temporal detail because of limitations imposed by resolution or other modeling considerations. Such parameterizations specify an average or expected effect of such processes on the resolved variables. This has traditionally been formulated in a deterministic way in terms of the resolved variables as the mean effect averaged across many realizations of the small scales with the same large-scale situation, implicitly or explicitly assuming the existence of some equilibrium state as a closure condition. More recently, the uncertainty of such closure assumptions has led to the use of stochastic forms of parameterization, where the required effects on the resolved scale are determined from a set of randomly chosen realizations of unresolved processes that have a known probability of occurrence given the resolved state. Theoretical and practical approaches to parameterization are discussed and illustrated with selected examples. New directions that employ hybrid modeling strategies and stochastic methods to overcome well-known parameterization difficulties are discussed. © 2011 John Wiley & Sons, Ltd. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/76474
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| Appears in Collections: | 影响、适应和脆弱性
气候变化与战略
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作者单位: | Department of Physics, SPARC International Project Office, University of Toronto, Canada
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| Recommended Citation: | |
Mcfarlane N. Parameterizations: Representing key processes in climate models without resolving them[J]. Wiley Interdisciplinary Reviews: Climate Change,2011-01-01,2(4)
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