Katharine Hayhoe, Graduate Student
Department of Atmospheric Sciences
University of Illinois
Date: Wednesday, March 3, 2010
3:00 pm: Conversation and Cookies in Room 108 Atmospheric Sciences Building
3:30 pm: Seminar in Room 253 Mechanical Engineering Building
Regional climate impact assessments require high-resolution projections of climate change, capable of resolving local factors that modify the influence of global-scale forcing at a given location or system. Although a variety of statistical and dynamical approaches have been developed to downscale global climate model simulations, few attempts have been made to evaluate the abilities of multiple downscaling methods before application. Here, I compare the ability of several commonly-used downscaling methods to simulate observed climate at 25 locations across North America, using a set of physical and statistical tests designed to resolve discrepancies in simulating the distribution of daily values. This approach is intended to provide critical input into the selection of downscaling methods for future regional impact assessments, as well as advancing our understanding of how the conclusions of past impact studies may have been affected by choice of downscaling method.
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