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Advancements in Fog Detection and Modeling: FRAM Project Insights

Explore the pioneering research from the Field Project and Preliminary Results of The Fog Remote Sensing and Modeling (FRAM) project, shedding light on fog formation over snow, marine advection, and more. Discover key findings and insights into fog microphysics, forecasting models, and the physics of fog droplets. Gain knowledge on the integration of data from diverse platforms to enhance fog forecasting accuracy and the importance of understanding fog occurrence in various time and space scales.

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Advancements in Fog Detection and Modeling: FRAM Project Insights

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  1. The Fog Remote Sensing and Modeling (FRAM) Field Project and Preliminary Results. I.Gultepe 1Cloud 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=Vrh+Vliquidfog+Vicefog+Vdrizzle+Vrain+Vsnow

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

  12. Vis parameterization for forecasting models RUC Vis

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

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