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Science Plan
4th Workshop: Nov 2007

EarthCARE simulator

CloudSat/CALIPSO
A-train

C3VP Data
CloudSat DPC
Satellite overpasses
16-day prediction
Southern Ontario
Canada-wide
EC networks
Radar
Cloud obs
POSS
Enh. measurement sites
CARE
Bratt's Lake
Eureka
Iqaluit
Aircaft measurements

Field campaigns
C3VP@CARE_2006-07
Online data archive

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Please send questions or
comments to:
dataman@c3vp.org


 
 

THE FRAM PROJECT


Project description

The fog remote sensing and modeling (FRAM) project will be performed over Ontario and Nova Scotia provinces of Canada to study fog and low level clouds using observations from various instruments including fog measuring device, PCASP aerosol probe, ice particle counters, ice particle imaging camera, visibility meter, and ceilometer, microwave radiometers, and poss/hot plates. Conventional measurements of temperature, relative humidity, and wind measurements will also be collected during project.

In addition to the above observations, the GOES and MODIS satellite observations will be collected to study the fog microphysics and its forecasting. Based on these satellites, the retrievals of microphysical parameters will be developed. If a deep fog/low level cloud system occurs, CloudSat data will be integrated to other observations to study fog formation/development. The CloudSat data will be utilized if a vertical extent of fog/low clouds is more than a few hundred meters.

During field program the operational regional GEM (15 km resolution)/GEM-LAM (2.5 km), and 1-D fog model called COBEL will be utilized for fog forecasting/nowcasting. The outputs from the model runs will be archived for validation purposes.


Project objectives

The objectives of the FRAM are briefly summarize below:

  1. Develop physical parameterizations
  2. Understand various fog types, including radiation, advection, and frontal fog.
  3. Compare earlier parameterization with new ones
  4. Understand relationship between aerosols and droplet concentrations
  5. Understand ice fog formation
  6. Develop algorithms that use satellite observations
  7. Validate remote sensing techniques
  8. Develop visibility versus precipitation relationships
  9. Use physical parameterizations in the operational forecasting models
  10. Develop 2D-3D modeling concepts

Participants

  • UQAM, Montreal
  • CMC, Montreal
  • Marburg University, Germany
  • METEO France, France
  • NASA GSFC

Presentations during the Montreal fog workshop on June 12-14, 2005


For more information regarding FRAM, please contact: Ismail Gultepe (416) 739-4607.