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contributor authorManish Kumar Goyal
contributor authorC. S. P. Ojha
contributor authorDonald H. Burn
date accessioned2017-05-08T21:49:11Z
date available2017-05-08T21:49:11Z
date copyrightMay 2012
date issued2012
identifier other%28asce%29he%2E1943-5584%2E0000500.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63362
description abstractThe climate impact studies in hydrology often rely on climate change information at fine spatial resolution. Because general circulation models (GCMs) operate on a coarse scale, the output from a GCM has to be downscaled to obtain the information relevant to hydrologic studies. In this paper, downscaling models are developed using the state-of-the-art nonparametric method
publisherAmerican Society of Civil Engineers
titleNonparametric Statistical Downscaling of Temperature, Precipitation, and Evaporation in a Semiarid Region in India
typeJournal Paper
journal volume17
journal issue5
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/(ASCE)HE.1943-5584.0000479
treeJournal of Hydrologic Engineering:;2012:;Volume ( 017 ):;issue: 005
contenttypeFulltext


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