Back to Search Start Over

Microphysics and Optical Attenuation in Fog: Observations from Two Coastal Sites.

Authors :
Wang, Qing
Yamaguchi, Ryan T.
Kalogiros, John A.
Daniels, Zachary
Alappattu, Denny P.
Jonsson, Haflidi
Alvarenga, Oswaldo
Olson, Alex
Wauer, Benjamin J.
Ortiz-Suslow, David G.
Fernando, Harindra Joseph
Source :
Boundary-Layer Meteorology. Dec2021, Vol. 181 Issue 2/3, p267-292. 26p.
Publication Year :
2021

Abstract

A total of 15 fog events from two field campaigns are investigated: the High Energy Laser in Fog (HELFOG) project (central California) and the Toward Improving Coastal Fog Prediction (C-FOG) project (Ferryland Newfoundland). Nearly identical sensors were used in both projects to sample fog droplet-size spectra, wind, turbulence, and thermodynamic properties near the surface. Concurrent measurements of visibility were made by the present weather detector in both experiments, with the addition of a two-ended transmissometer in the HELFOG campaign. The analyses focused first on contrasting the observed fog microphysics and the associated thermodynamics from fog events in the two locations. The optical attenuation by fog was investigated using three methods: (1) derived from Mie theory using the measured droplet-size distribution, (2) parametrized as a function of fog liquid water content, and (3) parametrized in terms of total fog droplet number concentration. The consistency of these methods was investigated. The HELFOG data result in an empirical relationship between the meteorological range and liquid water content. Validation of such relationship is problematic using the C-FOG data due to the presence of rain and other factors. The parametrization with droplet number concentration only does not provide a robust visibility calculation since it cannot represent the effects of droplet size on visibility. Finally, a preliminary analysis of the mixed fog/rain case is presented to illustrate the nature of the problem to promote future research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00068314
Volume :
181
Issue :
2/3
Database :
Academic Search Index
Journal :
Boundary-Layer Meteorology
Publication Type :
Academic Journal
Accession number :
153819404
Full Text :
https://doi.org/10.1007/s10546-021-00675-5