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

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DOI	10.2166/wcc.2016.021
	Statistical downscaling of general circulation model outputs to precipitation; evaporation and temperature using a key station approach
	Sachindra D.A.; Huang F.; Barton A.; Perera B.J.C.
发表日期	2016
ISSN	20402244
起始页码	683
结束页码	707
卷号	7 期号:4
英文摘要	Using a key station approach, statistical downscaling of monthly general circulation model outputs to monthly precipitation, evaporation, minimum temperature and maximum temperature at 17 observation stations located in Victoria, Australia was performed. Using the observations of each predictand, over the period 1950–2010, correlations among all stations were computed. For each predictand, the station which showed the highest number of correlations above 0.80 with other stations was selected as the first key station. The stations that were highly correlated with that key station were considered as the member stations of the first cluster. By employing this same procedure on the remaining stations, the next key station was found. This procedure was performed until all stations were segregated into clusters. Thereafter, using the observations of each predictand, regression equations (inter-station regression relationships) were developed between the key stations and the member stations for each calendar month. The downscaling models at the key stations were developed using reanalysis data as inputs to them. The outputs of HadCM3 pertaining to A2 emission scenario were introduced to these downscaling models to produce projections of the predictands over the period 2000–2099. Then the outputs of these downscaling models were introduced to the inter-station regression relationships to produce projections of predictands at all member stations. © IWA Publishing 2016.
英文关键词	General circulation model; Key station; Multi-linear regression; Statistical downscaling
语种	英语
scopus关键词	Evaporation; General circulation model; Key station; Minimum temperatures; Multi-linear regression; Regression equation; Regression relationship; Statistical downscaling; Victoria , Australia; Regression analysis; air temperature; atmospheric general circulation model; climate prediction; downscaling; evaporation; geostatistics; precipitation (climatology); regression analysis; Australia; Victoria [Australia]
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/148136
作者单位	College of Engineering and Science, Victoria University, Footscray Park Campus, PO Box 14428, Melbourne, VIC 8001, Australia; Institute for Sustainability and Innovation, Victoria University, PO Box 14428, Melbourne, VIC 8001, Australia; Federation University, PO Box 663, Ballarat, VIC 3353, Australia
推荐引用方式 GB/T 7714	Sachindra D.A.,Huang F.,Barton A.,et al. Statistical downscaling of general circulation model outputs to precipitation; evaporation and temperature using a key station approach[J],2016,7(4).
APA	Sachindra D.A.,Huang F.,Barton A.,&Perera B.J.C..(2016).Statistical downscaling of general circulation model outputs to precipitation; evaporation and temperature using a key station approach.Journal of Water and Climate Change,7(4).
MLA	Sachindra D.A.,et al."Statistical downscaling of general circulation model outputs to precipitation; evaporation and temperature using a key station approach".Journal of Water and Climate Change 7.4(2016).