气候变化领域集成服务门户(CCPortal): Statistical downscaling of general circulation model outputs to evaporation; minimum temperature and maximum temperature using a key-predictand and key-station approach

CCPortal

DOI	10.2166/wcc.2014.145
	Statistical downscaling of general circulation model outputs to evaporation; minimum temperature and maximum temperature using a key-predictand and key-station approach
	Sachindra D.A.; Huang F.; Barton A.F.; Perera B.J.
发表日期	2015
ISSN	20402244
起始页码	241
结束页码	262
卷号	6 期号:2
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.
英文关键词	Downscaling; General circulation model; Key predictand; Key station
语种	英语
scopus关键词	Climate change; Down-scaling; General circulation model; Key predictand; Key station; Maximum temperature; Minimum temperatures; Regression relationship; Statistical downscaling; Evaporation; downscaling; evaporation; general circulation model; regression analysis; statistical analysis; temperature profile
来源期刊	Journal of Water and Climate Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/148227
作者单位	College of Engineering and Science, Victoria University, Footscray Park Campus, P.O. Box 14428, Melbourne, VIC 8001, Australia; Federation University, P.O. Box 663, Ballarat, VIC 3353, Australia
推荐引用方式 GB/T 7714	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],2015,6(2).
APA	Sachindra D.A.,Huang F.,Barton A.F.,&Perera B.J..(2015).Statistical downscaling of general circulation model outputs to evaporation; minimum temperature and maximum temperature using a key-predictand and key-station approach.Journal of Water and Climate Change,6(2).
MLA	Sachindra D.A.,et al."Statistical downscaling of general circulation model outputs to evaporation; minimum temperature and maximum temperature using a key-predictand and key-station approach".Journal of Water and Climate Change 6.2(2015).