A089-0006
Coastal Fog Microphysics and Dynamics During C-FOG: Parameterization Development and Scale issues

Thursday, 10 December 2020
Poster
Ismail Gultepe1, Andrew Heymsfield2, Harindra Joseph Fernando3, Eric Pardyjak4, Clive Dorman5, Qing Wang6, Edward D Creegan7, Sebastian W Hoch8, David D Flagg9, Raghavendra Krishnamurthy10, Sasa Gabersek11, Alexei O Perelet12, Sandeep Dnyandeo Wagh3 and Sen Wang3, (1)Thornhill, Ontario, Canada, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)University of Notre Dame, Department of Civil and Environmental Engineering and Earth Sciences, Notre Dame, IN, United States, (4)University of Utah, Salt Lake City, UT, United States, (5)University of California, San Diego, Scripps Institution of Oceanography, San Diego, CA, United States, (6)Naval Postgraduate School, Department of Meteorology, Monterey, CA, United States, (7)US Army Research Laboratory, White Sands Missile, NM, United States, (8)University of Utah, Atmospheric Sciences, Salt Lake City, UT, United States, (9)Naval Research Lab Monterey, Marine Meteorology, Monterey, United States, (10)Pacific Northwest National Laboratory, Richland, WA, United States, (11)Naval Research Lab Monterey, Marine Meteorology, Monterey, CA, United States, (12)University of Utah, Salt Lake City, United States
Abstract:
Abstract The goal of this paper is to provide a summary of the microphysical and dynamical measurements collected during the C-FOG (Toward Improving Coastal Fog Prediction) field project and to develop a visibility parameterization using the criteria related to turbulence. C-FOG is designed to advance understanding of liquid fog formation, development, and dissipation in coastal environments to improve fog predictability and monitoring. The project took place along eastern Canada’s (Nova Scotia, NS and Newfoundland, NL) coastlines and open water environments from August-October 2018. Visibility (Vis), wind speed (Uh), and turbulence along coastlines are the most critical weather-related parameters affecting marine transportation and aviation. In the analysis, microphysical and dynamical observations are summarized first and then they are used for fog intensity (visibility) evaluation. Results suggest that detailed microphysical observations collected at the supersites and aboard the Research Vessel (R/V) Hugh R. Sharp are useful for developing microphysical parameterizations, with dynamical variables playing a governing role (e.g., turbulence kinetic energy dissipation rate, ε). The fog life cycle and ε were strongly related to each other, and this is considered in the analysis. The magnitude of 3D-wind fluctuations was found higher during the formation and dissipation stages compared to mature fog conditions. It is concluded that further modifications to existing microphysical parameterizations are needed to improve fog predictability using NWP (Numerical Weather Prediction) models.
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