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contributor authorGultepe, I.
contributor authorHansen, B.
contributor authorCober, S. G.
contributor authorPearson, G.
contributor authorMilbrandt, J. A.
contributor authorPlatnick, S.
contributor authorTaylor, P.
contributor authorGordon, M.
contributor authorOakley, J. P.
date accessioned2017-06-09T16:21:43Z
date available2017-06-09T16:21:43Z
date copyright2009/03/01
date issued2009
identifier issn0003-0007
identifier otherams-66465.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4207804
description abstractThe main purpose of this work is to describe a major field project on fog and summarize the preliminary results. Three field phases of the Fog Remote Sensing and Modeling (FRAM) project were conducted over the following two regions of Canada: 1) the Center for Atmospheric Research Experiments (CARE), in Toronto, Ontario (FRAM-C), during the winter of 2005/06, and 2) Lunenburg, Nova Scotia (FRAM-L), during June 2006 and June 2007. Fog conditions observed during FRAM-C were continental in nature, while those conditions observed during FRAM-L were of marine origin. The main objectives of the project were to attain 1) a better description of fog environments, 2) the development of microphysical parameterizations for model applications, 3) the development of remote sensing methods for fog nowcasting/forecasting, 4) an understanding of issues related to instrument capabilities and improvement of the analysis, and 5) an integration of model data with observations to predict and detect fog areas and particle phase. During the project phases, various measurements at the surface, including droplet and aerosol spectra, ice crystal number concentration, visibility, 3D turbulent wind components, radiative fluxes, precipitation, liquid water content profiles, and cloud ceiling, were collected together with satellite measurements. These observations will be studied to better forecast/nowcast fog events in association with results obtained from numerical forecast models. It is suggested that improved scientific understanding of fog will lead to better forecasting/nowcasting skills, benefiting the aviation, land transportation, and shipping communities.
publisherAmerican Meteorological Society
titleThe Fog Remote Sensing and Modeling Field Project
typeJournal Paper
journal volume90
journal issue3
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/2008BAMS2354.1
journal fristpage341
journal lastpage359
treeBulletin of the American Meteorological Society:;2009:;volume( 090 ):;issue: 003
contenttypeFulltext


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