globalchange  > 影响、适应和脆弱性
DOI: 10.1002/wcc.85
Scopus记录号: 2-s2.0-79953787945
论文题名:
Use of stochastic weather generators for precipitation downscaling
作者: Wilks D; S
刊名: Wiley Interdisciplinary Reviews: Climate Change
ISSN: 17577780
出版年: 2010
卷: 1, 期:6
起始页码: 898
结束页码: 907
语种: 英语
英文关键词: Climate change ; Climate models ; Stochastic systems ; Atmospheric circulation ; Coarse-resolution model ; Daily variations ; Downscaling methods ; Generator parameters ; Random elements ; Stochastic weather generator ; Weather generator ; Stochastic models
英文摘要: Downscaling coarse-resolution model representations of climate is a disaggregation problem, in which any number of small-scale weather sequences can be associated with a given set of large-scale values. Because of this intrinsic indeterminacy it is natural and logically consistent for downscaling methods to include explicitly random elements. Weather generators are stochastic models for (usually) daily weather time series, which can be used for climate-change downscaling through appropriate adjustments to their parameters. 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. This paper reviews and compares these two methods for weather-generator-based downscaling, focusing on the downscaling of precipitation. © 2010 John Wiley & Sons, Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76576
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

Recommended Citation:
Wilks D,S. Use of stochastic weather generators for precipitation downscaling[J]. Wiley Interdisciplinary Reviews: Climate Change,2010-01-01,1(6)
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