A089-0002
The C-FOG Project: Salient Outcomes

Thursday, 10 December 2020
Poster
Harindra Joseph Fernando, University of Notre Dame, Department of Civil and Environmental Engineering and Earth Sciences, Notre Dame, IN, United States, Ismail Gultepe, Environment and Climate Change Canada, Thornhill, ON, Canada, Clive Dorman, University of California, San Diego, Scripps Institution of Oceanography, San Diego, CA, United States, Eric Pardyjak, University of Utah, Salt Lake City, UT, United States, David H Richter, University of Notre Dame, Department of Civil & Environmental Engineering & Earth Sciences, Notre Dame, IN, United States, Qing Wang, Naval Postgraduate School, Department of Meteorology, Monterey, CA, United States, Sebastian W Hoch, University of Utah, Atmospheric Sciences, Salt Lake City, UT, United States, Sasa Gabersek, Naval Research Lab Monterey, Marine Meteorology, Monterey, CA, United States, Terry Bullock, Wood plc., St. Johns, Canada, Rachel Chang, Dalhousie University, Physics & Atmospheric Science, Halifax, NS, Canada and William Perrie, Bedford Institute of Oceanography, Dartmouth, NS, Canada
Abstract:
C-FOG is a comprehensive bi-national project dealing with the formation, persistence and dissipation (lifecycle) of fog in coastal areas (coastal fog) controlled by land, marine and atmospheric processes. Given its inherent complexity, coastal-fog literature has mainly focused on case studies, and there is a continuing need for research that integrates across processes (e.g., air-sea-land interactions, environmental flow, aerosol transport and chemistry), dynamics (two-phase flow and turbulence), microphysics (nucleation, droplet characterization) and thermodynamics (heat transfer and phase changes) through field observations and modeling. Central to C-FOG was a field campaign in eastern Canada during 1 September to 8 October 2018, covering four land sites in Newfoundland and Nova Scotia and an adjacent coastal strip transected by the research vessel Hugh R. Sharp. An array of in situ, path-integrating and remote sensing instruments gathered data across a swath of space-time scales relevant to fog lifecycles. Satellite and reanalysis products, routine meteorological observations, numerical weather prediction model (WRF and COAMPS) outputs, large-eddy simulations and phenomenological modeling underpin the interpretation of field observations in a multiscale and multiplatform framework that help identify and remedy numerical-model deficiencies. Key outcomes of this large multidisciplinary project will be summarized in this paper. [Funded by the Office of Naval Research Award # N00014-18-1-2472 entitled: Toward Improving Coastal Fog Prediction (C-FOG)]
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