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

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Presentation on theme: "Rob Roebeling CloudNET meeting 18 – 19 October 2004, Delft METEOSAT-8 OBSERVATIONS AND DERIVED CLOUD MICROPHYSICAL PROPERTIES."— Presentation transcript:

1 Rob Roebeling 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. 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)

4 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,   

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

6 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

7 Cloud Optical Depth Meteosat 8, 19 April 2004 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) R eff (H) +  (H) H + n (cst) H

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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