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Scholars Day 2008, Wednesday, April 9

Comparing Numerical Weather Prediction Models in Forecasting Lake Effect Snow Throughout Western and Central New York

Lake effect snow frequently develops in western and central New York State during the late fall and winter months. Predicting lake effect snow still remains a challenge to forecasters. Meteorologists in western New York follow a series of parameters necessary for the development of lake effect snow. Such parameters include: temperature gradient between the lake surface and 850 mb, wind direction from the boundary layer through 700 mb, change in wind direction with height, and presence of a low-level inversion. This study will analyze both short-term and long-term numerical weather prediction models to see how accurate they were at predicting 3 major lake effect snow events throughout western and central New York.

Presenter: Lisa Wojdan (Undergraduate Student)
Topic: Earth Science
Location: 120 Hartwell
Time: 9 am (Session I)