Articles | Volume 14, issue 7
https://doi.org/10.5194/amt-14-5107-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-5107-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jul 2021
Research article |
| 28 Jul 2021
| 28 Jul 2021
Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples
Leibniz Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany
Carola Barrientos-Velasco
Leibniz Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany
Sebastian Bley
ESA Centre for Earth Observation, Largo Galileo Galilei, 1, 00044 Frascati RM, Italy
Anja Hünerbein
Leibniz Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany
Stephan Lenk
Leibniz Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany
Andreas Macke
Leibniz Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany
Jan Fokke Meirink
Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Marion Schroedter-Homscheidt
German Aerospace Center (DLR), Institute of Networked Energy Systems, Carl-von-Ossietzky-Straße 15, 26129 Oldenburg, Germany
Fabian Senf
Leibniz Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany
Ping Wang
Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Frank Werner
Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
Jonas Witthuhn
Leibniz Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany
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Cited
7 citations as recorded by crossref.
- Life Cycle of Shallow Marine Cumulus Clouds From Geostationary Satellite Observations T. Seelig et al. 10.1029/2021JD035577
- 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
- Clouds dissipate quickly during solar eclipses as the land surface cools V. Trees et al. 10.1038/s43247-024-01213-0
- The Education and Research 3D Radiative Transfer Toolbox (EaR3T) – towards the mitigation of 3D bias in airborne and spaceborne passive imagery cloud retrievals H. Chen et al. 10.5194/amt-16-1971-2023
- Parallax and cloud shadow correction in satellite-based solar irradiance estimation: A study in tropical environments A. Roy et al. 10.1016/j.apenergy.2025.126457
- Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples H. Deneke et al. 10.5194/amt-14-5107-2021
- Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: evaluation of candidate approaches with MODIS observations F. Werner & H. Deneke 10.5194/amt-13-1089-2020
5 citations as recorded by crossref.
- Life Cycle of Shallow Marine Cumulus Clouds From Geostationary Satellite Observations T. Seelig et al. 10.1029/2021JD035577
- 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
- Clouds dissipate quickly during solar eclipses as the land surface cools V. Trees et al. 10.1038/s43247-024-01213-0
- The Education and Research 3D Radiative Transfer Toolbox (EaR3T) – towards the mitigation of 3D bias in airborne and spaceborne passive imagery cloud retrievals H. Chen et al. 10.5194/amt-16-1971-2023
- Parallax and cloud shadow correction in satellite-based solar irradiance estimation: A study in tropical environments A. Roy et al. 10.1016/j.apenergy.2025.126457
2 citations as recorded by crossref.
- Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples H. Deneke et al. 10.5194/amt-14-5107-2021
- Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: evaluation of candidate approaches with MODIS observations F. Werner & H. Deneke 10.5194/amt-13-1089-2020
Latest update: 29 Jul 2025
Short summary
The SEVIRI instrument flown on the European geostationary Meteosat satellites acquires multi-spectral images at a relatively coarse pixel resolution of 3 × 3 km2, but it also has a broadband high-resolution visible channel with 1 × 1 km2 spatial resolution. In this study, the modification of an existing cloud property and solar irradiance retrieval to use this channel to improve the spatial resolution of its output products as well as the resulting benefits for applications are described.
The SEVIRI instrument flown on the European geostationary Meteosat satellites acquires...
