Articles | Volume 7, issue 10
https://doi.org/10.5194/amt-7-3233-2014
© Author(s) 2014. 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-7-3233-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Oct 2014
Research article |
| 01 Oct 2014
Retrieval of cirrus cloud optical thickness and top altitude from geostationary remote sensing
S. Kox
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
now at: European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, Germany
L. Bugliaro
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
A. Ostler
Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung (IMK-IFU), Garmisch-Partenkirchen, Germany
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- Neural network cloud top pressure and height for MODIS N. Håkansson et al. 10.5194/amt-11-3177-2018
- The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development D. Piontek et al. 10.3390/rs13163112
- Opinion: Tropical cirrus – from micro-scale processes to climate-scale impacts B. Gasparini et al. 10.5194/acp-23-15413-2023
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- 基于神经网络反演中国南海海域透明卷云参数 陆. Lu Wenqiang et al. 10.3788/AOS230605
- Seasonal distribution of cirrus cloud characteristics and their rapid descent from polarization lidar measurements at the west coast of India M. Aswini et al. 10.1007/s00704-023-04518-w
- A global record of single-layered ice cloud properties and associated radiative heating rate profiles from an A-Train perspective E. Dolinar et al. 10.1007/s00382-019-04682-8
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- Algorithm for Interpreting Light Backscattering Matrices of Cirrus Clouds for the Retrieval of Their Microphysical Parameters V. Shishko et al. 10.1134/S1024856019040134
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