A case study: evaluation of a single column model with advection to simulate fog/stratus during C-FOG experiment

Those datasets are observed by  C-FOG (Toward Improving Coastal Fog Prediction) campaign, which was organized as a field experiment combined with modelling and theoretical initiatives. The objective of C-FOG was to advance our understanding and ability to observe, simulate, and predict fog, with a particular focus on warm fog formation, development and dissipation over coastal environments.

The uploaded observation data contains liquid water content, droplet number concentration, temperature, SST, wind, visibility, backscatter collected by ceilometer, and atmospheric profile. The details can be found in the dataset.

Thanks for the intense observation by the C-FOG project, which collected valuable data for detailed fog research.