1. 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

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

3. FRAM-LUNENBURG Vaisala FD12P EPPLEY radiometer Campbell Scientific HMP45C Young 81000 Sonic anemometer (YUSA) MWR TP3000 DMT FMD SPP-FM VIDEO camera Climatronic aerosol profiler (CAP) Vaisala Ceilometer CT25K

4. Ni and VIS

5. MWR TP3000 Jan 4 2006

6. VIDEO PROCESSING

7. CAP [0.3;10] YUW [32Hz]

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

9. FMD fog microphysics summary

10. VIS VERSUS dBZ

11. Vis=f(RHw) Vis=f(PR)

12. Vis parameterization for forecasting models RUC Vis

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

14. 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