A Statistical Method of Fog Forecasting in North Carolina

1 online resource (57 pages) : PDF

2018

University of North Carolina at Charlotte

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.

masters theses

Meteorology

M.S.

Earth Sciences

Eastin, Matthew

Magi, Brian
Shirley, Terry

Thesis (M.S.)--University of North Carolina at Charlotte, 2018.

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Pettee_uncc_0694N_11716

http://hdl.handle.net/20.500.13093/etd:237