The Fog Remote Sensing and Modeling (FRAM) Field Project and Preliminary Results. I.Gultepe 1 Cloud Physics and Severe Weather Research Section, Science and Technology Branch, Environment Canada Toronto, Ontario, M3H 5T4, Canada

FOG FORMATION OVER SNOW MARINE ADVECTIVE FOG Vis=V rh +V liquidfog +V icefog +V drizzle +V rain +V snow

FRAM-LUNENBURG Vaisala FD12P EPPLEY radiometer Campbell Scientific HMP45C Young Sonic anemometer (YUSA) MWR TP3000 DMT FMD SPP-FM VIDEO camera Climatronic aerosol profiler (CAP) Vaisala Ceilometer CT25K

Ni and VIS

MWR TP3000 Jan

VIDEO PROCESSING

CAP [0.3;10] YUW [32Hz]

FT12P Vis Marine fog (Lunenburg) 70% time during June 2006 Duration > 1 hour Vis< 1 km

FMD fog microphysics summary

VIS VERSUS dBZ

Vis=f(RHw) Vis=f(PR)

Vis parameterization for forecasting models RUC Vis

FOG DETECTION USING INTEGRATED DATA FOG AREA WITH GEM FOG AREA WITHOUT GEM

CONCLUSIONS PARAMETRIZATION OF VISIBILITY IS STILL IN THE QUESTION BECAUSE PARTICLES SIZES < 2-3 MICRON ARE IMPORTANT FOR EXTINCTION CALCULATIONS PRESENT FORECASTING MODELS (e.g. RUC MODEL) USE ONLY VIS-LWC RELATIOSHIPS THAT CAUSE LARGE UNCERTAINTIES IN VIS. PHYSICS, FORMATION, DEVELOPMENT, AND DISSIPATION OF MARINE AND CONTINENTAL FOGS ARE SIGNIFICANTLY DIFFERENT AND THAT NEEDS TO BE PAID MORE ATTENTION. PHYSICS OF FOG DROPLETS CAN HELP US BETTER UNDERSTAND NUCLEATION OF DROPLETS WITHIN THE CLOUD  INTEGRATION OF OBSERVATIONS AND DATA FROM MULTIPLE PLATFORMS ARE NEEDED TO BETTER FORECAST FOG.  OCCURRENCE OF FOG IN VARIOUS TIME AND SPACE SCALES RESULTS LIKELY UNDERESTIMATE OF ITS CLIMATOLOGY