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Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling

Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling

This video was recorded at NASA Conference on Intelligent Data Understanding (CIDU) 2011, Mountain View, CA. Statistical downscaling is commonly used in climate modeling to obtain high-resolution spatial projections of future climate scenarios from the coarse-resolution outputs projected by global climate models. Unfortunately, most of the statistical downscaling approaches using standard regression methods tend to emphasize projecting the conditional mean of the data while paying scant attention to the extreme values that are rare in occurrence yet critical for climate impact assessment and adaptation studies. This paper presents a statistical downscaling framework that focuses on the accurate projection of future extreme values by estimating directly the conditional quantiles of the... Show More
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