Evaluating the diurnal cycle in cloud top temperature from SEVIRI

Taylor, Sarah; Stier, Philip; White, Bethan; Finkensieper, Stephan; Stengel, Martin

doi:https://doi.org/10.5194/acp-17-7035-2017

Articles | Volume 17, issue 11

https://doi.org/10.5194/acp-17-7035-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-7035-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 11

Research article

|

14 Jun 2017

Research article |

| 14 Jun 2017

Evaluating the diurnal cycle in cloud top temperature from SEVIRI

Sarah Taylor, Philip Stier, Bethan White, Stephan Finkensieper, and Martin Stengel

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

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.