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

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Presentation transcript:

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) 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

MSG channels and Currently Derived Physical Products. Cloud Thermodynamic Phase Cloud Liquid Water Path Cloud Optical Thickness Effective Radius Optical depth Cloud Top Temperature Droplet density 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)

Radiative Transfer Modelling R(sur) Above the cloud Below the cloud  ac  bc Scattering and absorption Phase Optical Thickness Geometric Thickness Droplet Density Effective Radius Reflectance,   

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

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

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

Example for Cabauw (Channel 1 & 3) NOAA

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

Example for Cabauw (Optical thickness, LWP)

Example for Cabauw: (Reff, Cloud Thickness (H) & n) R eff (H) +  (H) H + n (cst) H

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 database 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