University of Wisconsin Cooperative Extension

Also collaborating on these NE CSC projects

Evaluation of Downscaled Climate Modeling Techniques for the Northeast U.S.

Downscaling is the process of making a coarse-scale global climate model into a finer resolution in order to capture some of the localized detail that the coarse global models cannot resolve.  There are two general approaches of downscaling:  dynamical and statistical.  Within those, many dynamical models have been developed by different institutions, and there are a number of statistical algorithms that have been developed over the years.

Development of Dynamically-Based 21st Century Projections of Snow, Lake Ice, and Winter Severity for the Great Lakes Basin to Guide Wildlife-Based Adaptation Planning, with Emphasis on Deer and Waterfowl

Our project focused on anticipated effects of 21st century climate change on winter severity, snowpack, and lake ice across the Great Lakes Basin and the response of wildlife populations, namely white-tailed deer and dabbling ducks. Winter conditions have changed substantially since the mid-20th century, with rising temperatures, declining lake ice cover, and increased lake-effect snowfall. Nonetheless, due coarse resolution, poor lake representation, and insufficient treatment of lake-effect processes in global climate models, basinwide climate change projections remain uncertain.

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