Date of Award

January 2023

Document Type


Degree Name

Master of Science (MS)


Atmospheric Sciences

First Advisor

Mark Askelson


Fog is a threat to the operations of small unmanned aerial systems (sUAS). Improved fog forecasting will allow for more timely dissemination of warnings, allowing operators to maximize operational time and to minimize flight cancellations. The impacts of grid spacing and microphysical parameterization were examined to study their influences on fog formation in the Weather Research and Forecasting numerical weather prediction model. An ensemble of forecasts was produced, wherein varying grid spacings (1 km and 0.333 m) were permuted with different microphysics schemes (single and double moment) for two different fog events. It was found that sub-kilometer grid spacing improved the simulated fog formation and dissipation times for one fog event, but did not for the other event. Microphysical schemes had a varying impact across model runs, where its influence was mainly felt in the dissipation time of the fog events. Future avenues for improving fog forecasts are discussed.