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.
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.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Jun 2017
Research article |
| 14 Jun 2017
Evaluating the diurnal cycle in cloud top temperature from SEVIRI
Sarah Taylor
CORRESPONDING AUTHOR
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, UK
Philip Stier
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, UK
Bethan White
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, UK
Stephan Finkensieper
Deutscher Wetterdienst (DWD), Offenbach, Germany
Martin Stengel
Deutscher Wetterdienst (DWD), Offenbach, Germany
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Cited
16 citations as recorded by crossref.
- The diurnal cycle of cloud profiles over land and ocean between 51° S and 51° N, seen by the CATS spaceborne lidar from the International Space Station V. Noel et al. 10.5194/acp-18-9457-2018
- Quality Estimates of INSAT-3D Derived Cloud Top Temperature for Climate Data Record C. Lima et al. 10.1109/TGRS.2020.3022680
- Improved Ocean–Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation S. Sim & J. Im 10.1109/JSTARS.2023.3308041
- Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D C. Lima et al. 10.3390/rs11232811
- On the relationship between lightning superbolts and TLEs in Northern Europe A. Pizzuti et al. 10.1016/j.atmosres.2022.106047
- Cloud base height retrieval from multi-angle satellite data C. Böhm et al. 10.5194/amt-12-1841-2019
- Technical note: Retrieval of the supercooled liquid fraction in mixed-phase clouds from Himawari-8 observations Z. Wang et al. 10.5194/acp-24-7559-2024
- A semi-Lagrangian method for detecting and tracking deep convective clouds in geostationary satellite observations W. Jones et al. 10.5194/amt-16-1043-2023
- Cloud Top Phase Distributions of Simulated Deep Convective Clouds C. Hoose et al. 10.1029/2018JD028381
- 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
- Height Determination of a Blue Discharge Observed by ASIM/MMIA on the International Space Station X. Bai et al. 10.1029/2022JD037460
- A Lagrangian perspective on the lifecycle and cloud radiative effect of deep convective clouds over Africa W. Jones et al. 10.5194/acp-24-5165-2024
- Evaluating Himawari-8 Cloud Products Using Shipborne and CALIPSO Observations: Cloud-Top Height and Cloud-Top Temperature Y. Huang et al. 10.1175/JTECH-D-18-0231.1
- Diurnal variations of cloud and relative humidity profiles across the tropics H. Chepfer et al. 10.1038/s41598-019-52437-6
- Contrasting changes in cloud optical properties and the influence of aerosols, meteorology and radiation feedback in the Himalaya Karakoram region M. Iftikhar et al. 10.1016/j.atmosres.2020.105210
- High Production of Gigantic Jets by a Thunderstorm Over Indian Ocean S. Soula et al. 10.1029/2023JD039486
16 citations as recorded by crossref.
- The diurnal cycle of cloud profiles over land and ocean between 51° S and 51° N, seen by the CATS spaceborne lidar from the International Space Station V. Noel et al. 10.5194/acp-18-9457-2018
- Quality Estimates of INSAT-3D Derived Cloud Top Temperature for Climate Data Record C. Lima et al. 10.1109/TGRS.2020.3022680
- Improved Ocean–Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation S. Sim & J. Im 10.1109/JSTARS.2023.3308041
- Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D C. Lima et al. 10.3390/rs11232811
- On the relationship between lightning superbolts and TLEs in Northern Europe A. Pizzuti et al. 10.1016/j.atmosres.2022.106047
- Cloud base height retrieval from multi-angle satellite data C. Böhm et al. 10.5194/amt-12-1841-2019
- Technical note: Retrieval of the supercooled liquid fraction in mixed-phase clouds from Himawari-8 observations Z. Wang et al. 10.5194/acp-24-7559-2024
- A semi-Lagrangian method for detecting and tracking deep convective clouds in geostationary satellite observations W. Jones et al. 10.5194/amt-16-1043-2023
- Cloud Top Phase Distributions of Simulated Deep Convective Clouds C. Hoose et al. 10.1029/2018JD028381
- 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
- Height Determination of a Blue Discharge Observed by ASIM/MMIA on the International Space Station X. Bai et al. 10.1029/2022JD037460
- A Lagrangian perspective on the lifecycle and cloud radiative effect of deep convective clouds over Africa W. Jones et al. 10.5194/acp-24-5165-2024
- Evaluating Himawari-8 Cloud Products Using Shipborne and CALIPSO Observations: Cloud-Top Height and Cloud-Top Temperature Y. Huang et al. 10.1175/JTECH-D-18-0231.1
- Diurnal variations of cloud and relative humidity profiles across the tropics H. Chepfer et al. 10.1038/s41598-019-52437-6
- Contrasting changes in cloud optical properties and the influence of aerosols, meteorology and radiation feedback in the Himalaya Karakoram region M. Iftikhar et al. 10.1016/j.atmosres.2020.105210
- High Production of Gigantic Jets by a Thunderstorm Over Indian Ocean S. Soula et al. 10.1029/2023JD039486
Latest update: 25 Dec 2024
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.
Variability of convective cloud spans a wide range of temporal and spatial scales and is...
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