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C-FOG: Life of Coastal Fog

Authors :
Raghavendra Krishnamurthy
B. Nagare
Ashish Sharma
Ismail Gultepe
Iossif Lozovatsky
Charlotte E. Wainwright
A. Olson
E. D. Creegan
Rachel Y.-W. Chang
R. S. Coppersmith
H. J. S. Fernando
Sebastian W. Hoch
Stef L. Bardoel
M. Wroblewski
D. D. Flagg
William Perrie
Christopher M. Hocut
Dhiraj Singh
O. Hyde
T. Morrison
R. Dimitrova
E. Gonzalez
Clive E. Dorman
S. Wang
Saša Gaberšek
N. Gunawardena
Eric R. Pardyjak
Ryan Yamaguchi
Qing Wang
Denny P. Alappattu
David Richter
N. Chisholm
Terry Bullock
Sandeep Wagh
Benjamin J. Wauer
A. O. Perelet
Andrey A. Grachev
Source :
Bulletin of the American Meteorological Society. 102:E244-E272
Publication Year :
2021
Publisher :
American Meteorological Society, 2021.

Abstract

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 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 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.

Details

ISSN :
15200477 and 00030007
Volume :
102
Database :
OpenAIRE
Journal :
Bulletin of the American Meteorological Society
Accession number :
edsair.doi...........ca0b0a2e2b8952380cd896cf200bac4d
Full Text :
https://doi.org/10.1175/bams-d-19-0070.1