globalchange  > 气候减缓与适应
DOI: 10.2166/wcc.2014.145
论文题名:
Statistical downscaling of general circulation model outputs to evaporation, minimum temperature and maximum temperature using a key-predictand and key-station approach
作者: Sachindra D.A.; Huang F.; Barton A.F.; Perera B.J.
刊名: Journal of Water and Climate Change
ISSN: 20402244
出版年: 2015
卷: 6, 期:2
起始页码: 241
结束页码: 262
语种: 英语
英文关键词: Downscaling ; General circulation model ; Key predictand ; Key station
英文摘要: A key-predictand and key-station approach was employed in downscaling general circulation model outputs to monthly evaporation, minimum temperature (Tmin) and maximum temperature (Tmax) at five observation stations concurrently. Tmax was highly correlated (magnitudes above 0.80 at p ≤ 0.05) with evaporation and Tmin at each individual station, hence Tmax was identified as the key predictand. One station was selected as the key station, as Tmax at that station showed high correlations with evaporation, Tmin and Tmax at all stations. Linear regression relationships were developed between the key predictand at the key station and evaporation, Tmin and Tmax at all stations using observations. A downscaling model was developed at the key station for Tmax. Then, outputs of this downscaling model at the key station were introduced to the linear regression relationships to produce projections of monthly evaporation, Tmin and Tmax at all stations. This key-predictand and key-station approach was proved to be effective as the statistics of the predictands simulated by this approach were in close agreement with those of observations. This simple multi-station multivariate downscaling approach enabled the preservation of the crosscorrelation structures of each individual predictand among the stations and also the cross-correlation structures between different predictands at individual stations. © IWA Publishing 2015.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67647
Appears in Collections:气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: College of Engineering and Science, Victoria University, Footscray Park Campus, P.O. Box 14428, Melbourne, VIC, Australia; Federation University, P.O. Box 663, Ballarat, VIC, Australia

Recommended Citation:
Sachindra D.A.,Huang F.,Barton A.F.,et al. Statistical downscaling of general circulation model outputs to evaporation, minimum temperature and maximum temperature using a key-predictand and key-station approach[J]. Journal of Water and Climate Change,2015-01-01,6(2)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Sachindra D.A.]'s Articles
[Huang F.]'s Articles
[Barton A.F.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Sachindra D.A.]'s Articles
[Huang F.]'s Articles
[Barton A.F.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Sachindra D.A.]‘s Articles
[Huang F.]‘s Articles
[Barton A.F.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.