Articles | Volume 17, issue 11
Atmos. Chem. Phys., 17, 7035–7053, 2017
https://doi.org/10.5194/acp-17-7035-2017
Atmos. Chem. Phys., 17, 7035–7053, 2017
https://doi.org/10.5194/acp-17-7035-2017

Research article 14 Jun 2017

Research article | 14 Jun 2017

Evaluating the diurnal cycle in cloud top temperature from SEVIRI

Sarah Taylor et al.

Data sets

CALIPSO/CALIOP Level 2, Lidar Cloud Layer Data CALIPSO Science Team https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L2_05kmCLay-Prov-V3-01_L2-003.01

CLAAS-2: CM SAF CLoud property dAtAset using SEVIRI – Edition 2 S. Finkensieper, J.-F. Meirink, G.-J. van Zadelhoff, T. Hanschmann, N. Benas, M. Stengel, P. Fuchs, R. Hollmann, and M. Werscheck https://doi.org/10.5676/EUM_SAF_CM/CLAAS/V002

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Short summary
Variability of convective cloud spans a wide range of temporal and spatial scales and is important for global weather and climate. This study uses satellite data from SEVIRI to quantify the diurnal cycle of cloud top temperatures over a large area. Results indicate that in some regions the diurnal cycle apparent in the observations may be significantly impacted by diurnal variability in the accuracy of the retrieval. These results may interest both the observation and modelling communities.
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