Seeing Fog Clearly: The C-FOG Research Program Adresses Predictability
Fernando, H. J. S. ; Gultepe, I. ; Dorman, C. ; Pardyjak, E. ; Wang, Q. ; Hoch, S. W. ; Richter, D. ; Creegan, E. ; Gabersek, S. ; Bullock, T. ; Hocut, C. ; Chang, R. ; Alappattu, D. ; Dimitrova, R. ; Flagg, D. ; Grachev, A. ; Krishnamurthy, R. ; Singh, D. K. ; Lozovatsky, I. ; Nagare, B. ; Sharma, A. ; Wagh, S. ; Wainwright, C. ; Wroblewski, M. ; Yamaguchi, R. ; Bardoel, S. ; Coppersmith, R. S. ; Chisholm, N. ; Gonzalez, E. ; Gunawardena, N. ; Hyde, O. ; Morrison, T. ; Olson, A. ; Perelet, A. ; Perrie, W. ; Wang, S. ; Wauer, B.
C-FOG: Life of Coastal Fog
C-FOG is a comprehensive bi-national project dealing with the formation, persistence, and dissipation (life cycle) 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 from 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 <em>Hugh R. Sharp</em>. An array of in situ, path-integrating, and remote sensing instruments gathered data across a swath of space-time scales relevant to fog life cycle. 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 helps identify and remedy numerical model deficiencies. An overview of the C-FOG field campaign and some preliminary analysis/findings are presented in this paper.</p>
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