The first edition of the SEVIRI cloud property dataset has recently been generated and released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF). The CLAAS dataset contains cloud properties at various processing levels from pixel-based data (approx. 4km spatial resolution) to daily and monthly averages (0.05° x 0.05° latitude-longitude grid). In addition, spatially resolved monthly mean diurnal cycles (0.25° x 0.25°) and monthly histograms (0.05° x 0.05°) are available. Input to the retrieval schemes were inter-calibrated effective radiances of Meteosat-8 and Meteosat-9, allowing the current version of the dataset to homogeneously span 8 years from 2004 to 2011. Along with the data, a comprehensive documentation of the algorithms used, the generation of the dataset as well as validation studies and user guidance are available, with a brief summary given in Stengel et al. (2013). With this dataset, small, regional and large scale cloud processes at temporal scales of hours to years can be studied. Subsequently to the derivation of the cloud properties, surface albedo (pentad and monthly means) and radiation budget products are inferred (daily and monthly means). Products covered by this are: Cloud Mask, Cloud Fractional Cover, Cloud Top Parameters, Cloud Optical Thickness, Cloud Phase, Cloud Liquid Water Path, Cloud Ice Water Path, Joint Cloud property Histogram, Surface Albedo, Spectrally Resolved Irradiance, Solar Surface Irradiance, Direct Irradiance, Solar Net Surface Radiation, Surface Outgoing Longwave Radiation, Surface Downward Longwave Radiation, Surface Net Longwave Radiation, Surface Radiation Budget, Cloud Forcing Longwave, Cloud Forcing Shortwave.
This is a Thematic Climate Data Record (TCDR). The assigned DOI for this dataset is: 10.5676/EUM_SAF_CM/CLAAS/V001.
An updated version of the TCDR is available. Users are recommended to use edition 2 of this TCDR: CLAAS-2 (EO:EUM:CM:MSG:CLAAS_V002) for cloud parameters and SARAH-2.1 (EO:EUM:CM:MULT:SARAH_V002_01) for radiation parameters.