Articles | Volume 15, issue 11
https://doi.org/10.5194/essd-15-5153-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-5153-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
27 Nov 2023
Data description paper |
| 27 Nov 2023
| 27 Nov 2023
CLAAS-3: the third edition of the CM SAF cloud data record based on SEVIRI observations
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Irina Solodovnik
Deutscher Wetterdienst (DWD), Offenbach, Germany
Martin Stengel
Deutscher Wetterdienst (DWD), Offenbach, Germany
Imke Hüser
Deutscher Wetterdienst (DWD), Offenbach, Germany
Karl-Göran Karlsson
Meteorological Research Unit, Research and Development Department, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Nina Håkansson
Meteorological Research Unit, Research and Development Department, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Erik Johansson
Meteorological Research Unit, Research and Development Department, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Salomon Eliasson
Meteorological Research Unit, Research and Development Department, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Marc Schröder
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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Cited
9 citations as recorded by crossref.
- Investigating the sign of stratocumulus adjustments to aerosols in the ICON global storm-resolving model E. Fons et al. 10.5194/acp-24-8653-2024
- A new machine-learning based cloud mask using harmonized data of two Meteosat generations shows a general decrease in cloudiness over Europe in recent decades S. Gaurav et al. 10.1016/j.rse.2025.114599
- First Release of the Optimal Cloud Analysis Climate Data Record from the EUMETSAT SEVIRI Measurements 2004–2019 A. Bozzo et al. 10.3390/rs16162989
- How well can brightness temperature differences of spaceborne imagers help to detect cloud phase? A sensitivity analysis regarding cloud phase and related cloud properties J. Mayer et al. 10.5194/amt-17-5161-2024
- Inclusion of the ECMWF ecRad radiation scheme (v1.5.0) in the MAR (v3.14), regional evaluation for Belgium, and assessment of surface shortwave spectral fluxes at Uccle J. Grailet et al. 10.5194/gmd-18-1965-2025
- Validating global horizontal irradiance retrievals from Meteosat SEVIRI at increased spatial resolution against a dense network of ground-based observations J. Wiltink et al. 10.5194/amt-17-6003-2024
- Analysis of ship emission effects on clouds over the southeastern Atlantic using geostationary satellite observations N. Benas et al. 10.5194/acp-25-6957-2025
- The Chalmers Cloud Ice Climatology: retrieval implementation and validation A. Amell et al. 10.5194/amt-17-4337-2024
- Solar radiation nowcasting based on geostationary satellite images and deep learning models Y. Cui et al. 10.1016/j.solener.2024.112866
9 citations as recorded by crossref.
- Investigating the sign of stratocumulus adjustments to aerosols in the ICON global storm-resolving model E. Fons et al. 10.5194/acp-24-8653-2024
- A new machine-learning based cloud mask using harmonized data of two Meteosat generations shows a general decrease in cloudiness over Europe in recent decades S. Gaurav et al. 10.1016/j.rse.2025.114599
- First Release of the Optimal Cloud Analysis Climate Data Record from the EUMETSAT SEVIRI Measurements 2004–2019 A. Bozzo et al. 10.3390/rs16162989
- How well can brightness temperature differences of spaceborne imagers help to detect cloud phase? A sensitivity analysis regarding cloud phase and related cloud properties J. Mayer et al. 10.5194/amt-17-5161-2024
- Inclusion of the ECMWF ecRad radiation scheme (v1.5.0) in the MAR (v3.14), regional evaluation for Belgium, and assessment of surface shortwave spectral fluxes at Uccle J. Grailet et al. 10.5194/gmd-18-1965-2025
- Validating global horizontal irradiance retrievals from Meteosat SEVIRI at increased spatial resolution against a dense network of ground-based observations J. Wiltink et al. 10.5194/amt-17-6003-2024
- Analysis of ship emission effects on clouds over the southeastern Atlantic using geostationary satellite observations N. Benas et al. 10.5194/acp-25-6957-2025
- The Chalmers Cloud Ice Climatology: retrieval implementation and validation A. Amell et al. 10.5194/amt-17-4337-2024
- Solar radiation nowcasting based on geostationary satellite images and deep learning models Y. Cui et al. 10.1016/j.solener.2024.112866
Latest update: 31 Jul 2025
Short summary
This paper describes CLAAS-3, the third edition of the Cloud property dAtAset using SEVIRI, which was created based on observations from geostationary Meteosat satellites. CLAAS-3 cloud properties are evaluated using a variety of reference datasets, with very good overall results. The demonstrated quality of CLAAS-3 ensures its usefulness in a wide range of applications, including studies of local- to continental-scale cloud processes and evaluation of climate models.
This paper describes CLAAS-3, the third edition of the Cloud property dAtAset using SEVIRI,...
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