| DOI: | 10.1002/wcc.167
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| Scopus记录号: | 2-s2.0-84862062493
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| 论文题名: | Stochastic weather generators for climate-change downscaling, part II: Multivariable and spatially coherent multisite downscaling |
| 作者: | Wilks D; S
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| 刊名: | Wiley Interdisciplinary Reviews: Climate Change
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| ISSN: | 17577780
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| 出版年: | 2012
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| 卷: | 3, 期:3 | | 起始页码: | 267
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| 结束页码: | 278
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| 语种: | 英语
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| 英文关键词: | Stochastic models
; Stochastic systems
; Atmospheric circulation
; Daily variations
; Generator parameters
; Multi variables
; Statistical downscaling
; Stochastic methods
; Stochastic weather generator
; Weather generator
; Climate change
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| 英文摘要: | This paper continues Part I (Wilks DS. Use of stochastic weather generators for precipitation downscaling. WIRES Clim Change 2010, 1(6):898-907) of a two-part review on statistical downscaling of climate changes using parametric 'weather generators', which treated only precipitation downscaling at individual locations. Here the review is extended to include also downscaling of nonprecipitation variables at individual locations, and spatially coherent precipitation and nonprecipitation downscaling. Parametric weather generators are explicitly stochastic models that usually operate on the daily timescale. The use of stochastic methods for climate downscaling is natural and logically consistent because of the inherent indeterminacy of the problem: any number of small-scale weather sequences may be associated with a given set of larger-scale values. Downscaled climate changes are simulated by adjusting or varying the parameters of the weather generators, in a manner consistent with dynamically simulated or otherwise assumed larger-scale climate changes. Two main approaches for such parametric adjustments have been developed, namely changes in the daily weather generator parameters based on imposed or assumed changes in the corresponding monthly statistics, and day-by-day changes to the generator parameters that are controlled by daily variations in simulated atmospheric circulation. These methods are reviewed here, and perspectives on their relative merits are offered. © 2012 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/76433
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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 Earth and Atmospheric Sciences, Cornell University, Ithaca, NY, United States
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| Recommended Citation: | |
Wilks D,S. Stochastic weather generators for climate-change downscaling, part II: Multivariable and spatially coherent multisite downscaling[J]. Wiley Interdisciplinary Reviews: Climate Change,2012-01-01,3(3)
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