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Rob Roebeling

Rob Roebeling. CloudNET meeting 18 – 19 October 2004, Delft METEOSAT-8 OBSERVATIONS AND DERIVED CLOUD MICROPHYSICAL PROPERTIES. Climate Monitoring Satellite Application Facility (CMSAF) Funding: European Meteorological Satellite Organization (EUMETSAT)

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Rob Roebeling

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  1. RobRoebeling CloudNET meeting 18 – 19 October 2004, Delft METEOSAT-8 OBSERVATIONS AND DERIVED CLOUD MICROPHYSICAL PROPERTIES

  2. Climate Monitoring Satellite Application Facility (CMSAF) Funding:European Meteorological Satellite Organization (EUMETSAT) Objective: To generate and archive high quality data products from meteorological satellites (MSG and AVHRR/METOP) on a continuous basis, which are relevant for climate research. DWD (coordinator), FMI, KNMI, RMIB, SMHI and Meteo Swiss KNMI involvement: To develop method to retrieve Cloud Physical Products from NOAA-AVHRR (and METOP) and MSG. To validate the Cloud Physical Products with in-situ data of dedicate cloud measurement campaigns

  3. MSG channels and Currently Derived Physical Products. Channel 1 (VIS 0.6) Channel 2 (VIS 0.8) Channel 3 (NIR 1.6) Channel 4 (IR 3.9) Channel 5 (WV 6.2) Channel 6 (WV 7.3) Channel 7 (IR 8.7) Channel 8 (IR 9.7) Channel 9 (IR 10.8) (Tb) Channel 10 (IR 12) Channel 11 (IR 13.4) Channel 12 (HRV) Cloud Thermodynamic Phase Cloud Liquid Water Path Cloud Optical Thickness Effective Radius Optical depth Cloud Top Temperature Droplet density

  4. q0 q f Radiative Transfer Modelling Reflectance,  tac Above the cloud • Phase • Optical Thickness • Geometric Thickness • Droplet Density • Effective Radius Scattering and absorption tbc Below the cloud R(sur)

  5. MSG images for Channels 1, 3 Channel 1: 0.6 microns Channel 3: 1.6 microns

  6. Ice Clouds Water Clouds Land Sea Calibration and Cloud-phase Scatterplot 1.6 vs. 0.6 micron channels Scatterplot 1.6 micron channel, NOAA vs. MSG

  7. Meteosat 8,19 April 2004 Cloud Optical Depth Cloud Liquid Water Path

  8. Example for Cabauw (Channel 1 & 3) NOAA

  9. Example for Cabauw (Channel 9, CTT & Phase) NOAA

  10. Example for Cabauw (Optical thickness, LWP)

  11. Example for Cabauw: (Reff, Cloud Thickness (H) & n) H Reff (H) + t(H) H + n (cst)

  12. Conclusions • Meteosat-8 and NOAA reflectance at 0.6 micron are similar. • Meteosat-8 and NOAA reflectance at 1.6 micron have a ratio of 1.3 • All 12 channels will be included in the CloudNet data-base for the three sites. • Products to be include in the CloudNet data-base Cloud Thermodynamic Phase, Cloud Liquid Water Path, Cloud Optical Thickness, Effective Radius, Cloud Top Temperature, Droplet density

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