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CMa & CT Cloud mask and type

This presentation provides an illustration of the algorithms used for the CMa & CT Cloud Mask and Type with MSG/SEVIRI. It includes examples of cloud types, known problems, and planned activities for 2004.

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CMa & CT Cloud mask and type

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  1. CMa & CTCloud mask and type 15th June 2004 Madrid Hervé Le Gléau and Marcel Derrien Météo-France / CMS lannion

  2. Plan of CMa & CT presentation Illustration of algorithms’ basis with MSG/SEVIRI Algorithms’ very short description Some examples Known problems Planned activities in 2004

  3. As Meteosat-7

  4. As Meteosat-7 IR 10.8 mm 6th November 2003 05h00

  5. As Meteosat-7 VIS 0.6mm VIS 0.8mm 6th November 2003 09h00

  6. MSG/SEVIRI improvement for low clouds

  7. MSG/SEVIRI improvement for low clouds Low clouds T10.8mm – T3.9mm at night-time 6th November 2003 05h00

  8. MSG/SEVIRI improvement for low clouds Low clouds T3.9mm – T10.8mm at day-time 6th November 2003 09h00

  9. MSG/SEVIRI improvement for cirrus

  10. MSG/SEVIRI improvement for cirrus High semi-transparent clouds Low clouds T10.8mm – T3.9mm at night-time 6th November 2003 05h00

  11. MSG/SEVIRI improvement for cirrus High semi-transparent clouds Low clouds T8.7mm – T10.8mm 6th November 2003 05h00

  12. MSG/SEVIRI improvement for cirrus High semi-transparent clouds Low clouds T10.8mm – T12.0mm 6th November 2003 05h00

  13. MSG/SEVIRI improvement for snow

  14. MSG/SEVIRI improvement for snow Low clouds VIS 0.6mm Snow VIS 1.6mm 6th November 2003 09h00

  15. Cloud mask (CMa) categories

  16. Cloud type (CT) categories

  17. CMa algorithm • Clouds and snow are detected in each pixel of the image using multispectral theshold techiques : • Thresholds are computed using: • Atlas: height map • land/sea mask • Climatological maps: SST • continental visible reflectance • NWP short range forecast data: • surface temperature, • integrated atmospheric precipitable water • Most thresholds are tuned to radiometer’s spectral characteristics with Radiative Transfer Models in cloud free conditions (6S,RTTOV).

  18. CT algorithm • Cloudy pixels are classified according their radiative characteristics: • Semi-transparent and fractional clouds are distinguished from low/medium/high clouds using: • spectral features [T10.8mm-T12.0mm, T8.7mm-T10.8mm • T10.8mm-T3.9mm (night) or R0.6mm&T10.8mm (day)] • textural features [local variance of T10.8mm&R0.6mm (day)] • Low, medium and high clouds are then separated by comparing their T10.8mm to combination of NWP forecast temperature at various pressure levels [850, 700, 500 hPa and at tropopause levels]. • Separation between cumuliform & stratiform not performed. • Cloud phase flag not available

  19. Examples of cloud types Cloud types are displayed using colour palette available in hdf file: -First SEVIRI image 12th February 2003 13h30 -Low clouds/fog 5th February 2004 0h & 12h 6th November 2003 5h-9h -Convective clouds 28th July 2003 12h-16h -Snow 2nd March 2004 6h-12h

  20. Snow Low clouds High semi-transparent clouds 12 February 2003 13h30 VIS 0.6mm

  21. Snow Low clouds High semi-transparent clouds 12 February 2003 13h30 VIS 1.6mm

  22. Snow Low clouds High semi-transparent clouds 12 February 2003 13h30 T3.9mm - T10.8mm

  23. Snow Low clouds High semi-transparent clouds 12 February 2003 13h30 IR 10.8mm

  24. 12 February 2003 13h30 Cloud type

  25. Examples of low clouds/fog 5th february 2004 0h & 12h

  26. 5th February 2004 00h IR 10.8 mm T10.8mm – T3.9mm at night-time

  27. 5th February 2004 12h IR 10.8 mm VIS 0.6mm

  28. Examples of low clouds/fog: 6th November 2003 5h-9h

  29. Examples of convective clouds:28th July 2003 12h-16h

  30. Examples of snow:2nd March 2004 6h-12h

  31. Known problems CMa: -Low clouds may be missed at night-time or in case low solar elevation -Snow is not detected at night-time CT: -Very thin cirrus are classified as fractional -Low clouds may be classified as medium in case strong thermal inversion -Low clouds surmounted by cirrus may be classified as medium

  32. Planned activities in 2004 • Improvements to be included in SAFNWC (v1.2) • additional tuning where needed • Validation • cloud mask and type with SYNOP

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