The frequency and intensity at which fog occurs impacts the entire transportation infrastructure of the United States: Maritime shipping, aviation, railroads, and highways. The phenomenon is difficult to accurately capture in current numerical simulation forecasts, which places the burden of fog detection on observation-based statistical methods. This project explores a method of forecasting fog using combined probabilities generated from 40-yr event based climatologies of several variables. The final probabilities are too small to serve as a standalone tool but do show promise in serving as a foundation for further development as a forecaster.
