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Cindy L BruyèreNational Center for Atmospheric Research, Colorado, USA
Date: Thursday, May 30, 2013Time: NoonLocation: Mesa Laboratory, Penthouse Tower B
Society requires assessment of weather statistics, particularly of extreme weather events, and their impacts with regional clarity. Over the last couple of years, we have utilized both dynamical and statistical downscaling techniques to address this regional need.
We use the WRF model to dynamically downscale climate model data to resolutions as high as 4km, to assess possible changes in extreme weather events like tropical cyclones, drought and severe precipitation events. This talk will expand on the dynamical downscaling approach we adopted and show some results from these experiments. Dynamical downscaling is expensive and therefore somewhat limited when examining extreme weather events. To address these limitations we also make extensive use of statistical methods to address specific areas like frequency and intensity of future tropical cyclones. This talk will showcase a couple of examples of utilizing statistical methods to expand our dynamical downscale experiments.