Articles | Volume 6, issue 2
https://doi.org/10.5194/amt-6-309-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-6-309-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Feb 2013
Research article |
| 11 Feb 2013
An improved cirrus detection algorithm MeCiDA2 for SEVIRI and its evaluation with MODIS
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Ludwig Maximilians Universität, Institut für Meteorologie, Munich, Germany
L. Bugliaro
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
H. Mannstein
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
deceased
B. Mayer
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Ludwig Maximilians Universität, Institut für Meteorologie, Munich, Germany
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Cited
13 citations as recorded by crossref.
- VADUGS: a neural network for the remote sensing of volcanic ash with MSG/SEVIRI trained with synthetic thermal satellite observations simulated with a radiative transfer model L. Bugliaro et al. https://doi.org/10.5194/nhess-22-1029-2022
- Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks J. Strandgren et al. https://doi.org/10.5194/amt-10-3547-2017
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. https://doi.org/10.3390/rs16142578
- On the Life Cycle of Individual Contrails and Contrail Cirrus U. Schumann & A. Heymsfield https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0005.1
- Development of a support vector machine based cloud detection method for MODIS with the adjustability to various conditions H. Ishida et al. https://doi.org/10.1016/j.rse.2017.11.003
- Determination of circumsolar radiation from Meteosat Second Generation B. Reinhardt et al. https://doi.org/10.5194/amt-7-823-2014
- GVCCS: a dataset for contrail identification and tracking on visible whole sky camera sequences G. Jarry et al. https://doi.org/10.5194/essd-18-1037-2026
- Remote sensing of cloud top pressure/height from SEVIRI: analysis of ten current retrieval algorithms U. Hamann et al. https://doi.org/10.5194/amt-7-2839-2014
- Dehydration effects from contrails in a coupled contrail–climate model U. Schumann et al. https://doi.org/10.5194/acp-15-11179-2015
- Characterisation of the artificial neural network CiPS for cirrus cloud remote sensing with MSG/SEVIRI J. Strandgren et al. https://doi.org/10.5194/amt-10-4317-2017
- Retrieval of cirrus cloud optical thickness and top altitude from geostationary remote sensing S. Kox et al. https://doi.org/10.5194/amt-7-3233-2014
- Why we need radar, lidar, and solar radiance observations to constrain ice cloud microphysics F. Ewald et al. https://doi.org/10.5194/amt-14-5029-2021
- A fast method for the retrieval of integrated longwave and shortwave top-of-atmosphere upwelling irradiances from MSG/SEVIRI (RRUMS) M. Vázquez-Navarro et al. https://doi.org/10.5194/amt-6-2627-2013
13 citations as recorded by crossref.
- VADUGS: a neural network for the remote sensing of volcanic ash with MSG/SEVIRI trained with synthetic thermal satellite observations simulated with a radiative transfer model L. Bugliaro et al. https://doi.org/10.5194/nhess-22-1029-2022
- Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks J. Strandgren et al. https://doi.org/10.5194/amt-10-3547-2017
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. https://doi.org/10.3390/rs16142578
- On the Life Cycle of Individual Contrails and Contrail Cirrus U. Schumann & A. Heymsfield https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0005.1
- Development of a support vector machine based cloud detection method for MODIS with the adjustability to various conditions H. Ishida et al. https://doi.org/10.1016/j.rse.2017.11.003
- Determination of circumsolar radiation from Meteosat Second Generation B. Reinhardt et al. https://doi.org/10.5194/amt-7-823-2014
- GVCCS: a dataset for contrail identification and tracking on visible whole sky camera sequences G. Jarry et al. https://doi.org/10.5194/essd-18-1037-2026
- Remote sensing of cloud top pressure/height from SEVIRI: analysis of ten current retrieval algorithms U. Hamann et al. https://doi.org/10.5194/amt-7-2839-2014
- Dehydration effects from contrails in a coupled contrail–climate model U. Schumann et al. https://doi.org/10.5194/acp-15-11179-2015
- Characterisation of the artificial neural network CiPS for cirrus cloud remote sensing with MSG/SEVIRI J. Strandgren et al. https://doi.org/10.5194/amt-10-4317-2017
- Retrieval of cirrus cloud optical thickness and top altitude from geostationary remote sensing S. Kox et al. https://doi.org/10.5194/amt-7-3233-2014
- Why we need radar, lidar, and solar radiance observations to constrain ice cloud microphysics F. Ewald et al. https://doi.org/10.5194/amt-14-5029-2021
- A fast method for the retrieval of integrated longwave and shortwave top-of-atmosphere upwelling irradiances from MSG/SEVIRI (RRUMS) M. Vázquez-Navarro et al. https://doi.org/10.5194/amt-6-2627-2013
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