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    Statistical Postprocessing of High-Resolution Regional Climate Model Output 

    Source: Monthly Weather Review:;2014:;volume( 143 ):;issue: 005:;page 1533
    Author(s): Mendoza, Pablo A.; Rajagopalan, Balaji; Clark, Martyn P.; Ikeda, Kyoko; Rasmussen, Roy M.
    Publisher: American Meteorological Society
    Abstract: tatistical postprocessing techniques have become essential tools for downscaling large-scale information to the point scale, and also for providing a better probabilistic characterization of hydrometeorological variables ...
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    Effects of Hydrologic Model Choice and Calibration on the Portrayal of Climate Change Impacts 

    Source: Journal of Hydrometeorology:;2014:;Volume( 016 ):;issue: 002:;page 762
    Author(s): Mendoza, Pablo A.; Clark, Martyn P.; Mizukami, Naoki; Newman, Andrew J.; Barlage, Michael; Gutmann, Ethan D.; Rasmussen, Roy M.; Rajagopalan, Balaji; Brekke, Levi D.; Arnold, Jeffrey R.
    Publisher: American Meteorological Society
    Abstract: he assessment of climate change impacts on water resources involves several methodological decisions, including choices of global climate models (GCMs), emission scenarios, downscaling techniques, and hydrologic modeling ...
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    Implications of the Methodological Choices for Hydrologic Portrayals of Climate Change over the Contiguous United States: Statistically Downscaled Forcing Data and Hydrologic Models 

    Source: Journal of Hydrometeorology:;2015:;Volume( 017 ):;issue: 001:;page 73
    Author(s): Mizukami, Naoki; Clark, Martyn P.; Gutmann, Ethan D.; Mendoza, Pablo A.; Newman, Andrew J.; Nijssen, Bart; Livneh, Ben; Hay, Lauren E.; Arnold, Jeffrey R.; Brekke, Levi D.
    Publisher: American Meteorological Society
    Abstract: ontinental-domain assessments of climate change impacts on water resources typically rely on statistically downscaled climate model outputs to force hydrologic models at a finer spatial resolution. This study examines the ...
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