Presentation Type

Poster Presentation

Symposium Date

Spring 2012


Using a multi-decade climatology of lake-effect snowfall events in northern Indiana and adjacent southwest Michigan, a Geographic Information System (GIS) analysis has been developed to explore the spatial patterns of snowfall, as well as the relationship between snowfall and upstream sounding parameters. Using a minimum peak snowfall threshold of five cm reported at one of the available locations with long-term snow reports, there are ~250 cases in the data set. While there are numerous additional reports available for more recent events, particularly with CoCoRAHs data, only the stations available for the entire period were used for the analysis. While reducing the number of reports, this allows a more direct comparison of events. The most common pattern shows a snowfall peak in southwestern Michigan and adjacent north-central Indiana, consistent with the common northwest flow during lake-effect snow events. However, there are other obvious patterns as well, with a group of events centered in northwest Indiana and another grouping with much more diffused regional snowfall. We will show a subjective classification of events, based on careful evaluation of the maps, and an objective classification based on K Means clustering. Correlation maps of snowfall and upstream parameters from the Green Bay, Wisconsin sounding highlight the effect of wind direction in northwest Indiana; the correlation is relatively strong for stations in northwest Indiana, yet there is almost no correlation of wind direction and snowfall in southwest Michigan (with the caveat that null cases are not included in the data set). The sensitivity of snowfall to lower-tropospheric temperature is rather modest, but is somewhat higher in southwest Michigan. The patterns of snowfall sensitivity to upstream relative humidity, inversion characteristics, and wind shear will also be shown.

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