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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Terhikki Manninen, Emmihenna Jääskeläinen, Niilo Siljamo, Aku Riihelä, and Karl-Göran Karlsson
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Sandra Vázquez-Martín, Thomas Kuhn, and Salomon Eliasson
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Hartwig Deneke, Carola Barrientos-Velasco, Sebastian Bley, Anja Hünerbein, Stephan Lenk, Andreas Macke, Jan Fokke Meirink, Marion Schroedter-Homscheidt, Fabian Senf, Ping Wang, Frank Werner, and Jonas Witthuhn
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Susanne Crewell, Kerstin Ebell, Patrick Konjari, Mario Mech, Tatiana Nomokonova, Ana Radovan, David Strack, Arantxa M. Triana-Gómez, Stefan Noël, Raul Scarlat, Gunnar Spreen, Marion Maturilli, Annette Rinke, Irina Gorodetskaya, Carolina Viceto, Thomas August, and Marc Schröder
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Erik Johansson, Abhay Devasthale, Michael Tjernström, Annica M. L. Ekman, Klaus Wyser, and Tristan L'Ecuyer
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Sandra Vázquez-Martín, Thomas Kuhn, and Salomon Eliasson
Atmos. Chem. Phys., 21, 7545–7565, https://doi.org/10.5194/acp-21-7545-2021, https://doi.org/10.5194/acp-21-7545-2021, 2021
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In this work, we present new fall speed measurements of natural snow particles and ice crystals. We study the particle fall speed relationships and how they depend on particle shape. We analyze these relationships as a function of particle size, cross-sectional area, and area ratio for different particle shape groups. We also investigate the dependence of the particle fall speed on the orientation, as it has a large impact on the cross-sectional area.
Marloes Gutenstein, Karsten Fennig, Marc Schröder, Tim Trent, Stephan Bakan, J. Brent Roberts, and Franklin R. Robertson
Hydrol. Earth Syst. Sci., 25, 121–146, https://doi.org/10.5194/hess-25-121-2021, https://doi.org/10.5194/hess-25-121-2021, 2021
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The net exchange of water between the surface and atmosphere is mainly determined by the freshwater flux: the difference between evaporation (E) and precipitation (P), or E−P. Although there is consensus among modelers that with a warming climate E−P will increase, evidence from satellite data is still not conclusive, mainly due to sensor calibration issues. We here investigate the degree of correspondence among six recent
satellite-based climate data records and ERA5 reanalysis E−P data.
Caroline A. Poulsen, Gregory R. McGarragh, Gareth E. Thomas, Martin Stengel, Matthew W. Christensen, Adam C. Povey, Simon R. Proud, Elisa Carboni, Rainer Hollmann, and Roy G. Grainger
Earth Syst. Sci. Data, 12, 2121–2135, https://doi.org/10.5194/essd-12-2121-2020, https://doi.org/10.5194/essd-12-2121-2020, 2020
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We have created a satellite cloud and radiation climatology from the ATSR-2 and AATSR on board ERS-2 and Envisat, respectively, which spans the period 1995–2012. The data set was created using a combination of optimal estimation and neural net techniques. The data set was created as part of the ESA Climate Change Initiative program. The data set has been compared with active CALIOP lidar measurements and compared with MAC-LWP AND CERES-EBAF measurements and is shown to have good performance.
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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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