This research project was conducted in order to determine if there are certain snowfall distributions over the state of Connecticut. In the context of this report, snow was considered as an aerosol. Making this assumption allowed the introduction of statistical distributions (such as normal, lognormal, and bimodal) to fit the data obtained for the ground accumulation of the aerosol snow.

Snowfall data for ten Connecticut locations were obtained from the Northeast Regional Climate Center at Cornell University. Coastal locations and interior locations with the longest records were obtained. Coastal sites obtained from Cornell include Norwalk, Bridgeport, New Haven, and Groton. Northern locations include Storrs, Cream Hill, and Norfolk. Southern interior sites include Mount Carmel, Danbury, and Middletown.

The raw snowfall data was converted and ordered. Years with incomplete snowfall data were omitted, and all snowfall totals were rounded to the nearest inch. Normal probability and Lilliefors tests were performed using Minitab software. The results of the statistics tests led to the conclusion that there are three unique Connecticut snowfall distributions. The first climate zone is in northern Connecticut, which annually receives the most snow in the state. The second zone is in southern interior Connecticut, which experiences lower amounts of snow due to its lower elevation and closer proximity to Long Island Sound. The third zone encompasses the shoreline, which annually receives the least amount of snow in the state. Coastal sections have a lognormal distribution, southern interior sections a bimodal distribution, and northern sections a normal distribution of snowfall.