Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples

Deneke, Hartwig; Barrientos-Velasco, Carola; Bley, Sebastian; Hünerbein, Anja; Lenk, Stephan; Macke, Andreas; Meirink, Jan Fokke; Schroedter-Homscheidt, Marion; Senf, Fabian; Wang, Ping; Werner, Frank; Witthuhn, Jonas

doi:https://doi.org/10.5194/amt-14-5107-2021

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.

https://doi.org/10.5194/amt-14-5107-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 7

Research article

|

28 Jul 2021

Research article |

| 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

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

Data sets

Supplementary Information to: Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high–resolution visible channel: implementation and examples 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 https://doi.org/10.5281/zenodo.4936573

Global Bathymetry and Topography at 15 Arc Sec: SRTM15_PLUS (https://topex.ucsd.edu/pub/srtm15_plus/) B. Tozer, D. T. Sandwell, W. H. F. Smith, C. Olson, J. R. Beale, and P. Wessel https://doi.org/10.1029/2019ea000658

A global, self-consistent, hierarchical, high-resolution shoreline database (https://www.soest.hawaii.edu/pwessel/gshhg/) P. Wessel and W. H. F. Smith https://doi.org/10.1029/96jb00104

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.