Articles | Volume 9, issue 2
https://doi.org/10.5194/essd-9-415-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/essd-9-415-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
10 Jul 2017
The MSG-SEVIRI-based cloud property data record CLAAS-2
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
Stephan Finkensieper
Deutscher Wetterdienst (DWD), Offenbach, Germany
Martin Stengel
Deutscher Wetterdienst (DWD), Offenbach, Germany
Gerd-Jan van Zadelhoff
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
Timo Hanschmann
Deutscher Wetterdienst (DWD), Offenbach, Germany
Rainer Hollmann
Deutscher Wetterdienst (DWD), Offenbach, Germany
Jan Fokke Meirink
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
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Latest update: 14 Dec 2024
Short summary
This study focuses on an evaluation of CLAAS-2 (Cloud property dAtAset using SEVIRI, Edition 2), which was created based on observations from geostationary Meteosat satellites. Using a variety of reference datasets, very good overall agreement is found. This suggests the usefulness of CLAAS-2 in applications ranging from high spatial and temporal resolution cloud process studies to the evaluation of regional climate models.
This study focuses on an evaluation of CLAAS-2 (Cloud property dAtAset using SEVIRI, Edition 2),...
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