This study examines new data from a high-resolution dynamically downscaled GCM generated by Gensini et al. (2022) over the contiguous United States. These new data provide a resolution sufficient to explicitly resolve convective processes, such as those pertinent for lake-effect precipitation, and can be used to quantify spatial and temporal changes in lake-effect snow processes. Two 15-year periods of data are examined, consisting of historical (1990-2005) and potential end-of-century (2085-2100) conditions under the RCP 8.5 climate scenario. Analysis is performed to identify changes in the background synoptic and mesoscale conditions conducive for lake-effect snow, such as mid-level flow and temperatures. Frequencies of precipitation type and amount over the Great Lakes are also examined to determine changes in snowfall and rainfall in a warming climate. The model output is finally compared to observations at representative sites across the Great Lakes region to ascertain local changes in temperature and cumulative precipitation by the end of the current century, as well as to determine lake-specific responses to a warming climate.
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