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Strandgren, Johan and Fricker, Jennifer and Bugliaro Goggia, Luca (2017) Characterisation of the artificial neural network CiPS for cirrus cloud remote sensing with MSG/SEVIRI. Atmospheric Measurement Techniques (AMT), 10 (11), pp. 4317-4339. Copernicus Publications. doi: 10.5194/amt-10-4317-2017. ISSN 1867-1381.
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Official URL: http://dx.doi.org/10.5194/amt-10-4317-2017
Abstract
We characterise the the performance of a set of artificial neural networks used for the remote sensing of cirrus clouds from the geostationary Meteosat Second Generation satellites. The retrievals show little interference with the underlying land surface type as well as with possible liquid water clouds or aerosol layers below the cirrus cloud. We also characterise the retrievals as a funtion of optical thickness and top height and gain better understanding of the retrival uncertainties of CiPS
| Item URL in elib: | https://elib.dlr.de/115377/ | ||||||||||||||||
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| Document Type: | Article | ||||||||||||||||
| Title: | Characterisation of the artificial neural network CiPS for cirrus cloud remote sensing with MSG/SEVIRI | ||||||||||||||||
| Authors: |
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| Date: | 14 November 2017 | ||||||||||||||||
| Journal or Publication Title: | Atmospheric Measurement Techniques (AMT) | ||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||
| Open Access: | Yes | ||||||||||||||||
| Gold Open Access: | Yes | ||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||
| Volume: | 10 | ||||||||||||||||
| DOI: | 10.5194/amt-10-4317-2017 | ||||||||||||||||
| Page Range: | pp. 4317-4339 | ||||||||||||||||
| Publisher: | Copernicus Publications | ||||||||||||||||
| ISSN: | 1867-1381 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | Cirrus clouds, remote sensing, characterisation, neural networks, MSG/SEVIRI | ||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||
| DLR - Research theme (Project): | R - Atmospheric and climate research | ||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||
| Institutes and Institutions: | Institute of Atmospheric Physics > Atmospheric Remote Sensing | ||||||||||||||||
| Deposited By: | Strandgren, Johan | ||||||||||||||||
| Deposited On: | 15 Nov 2017 09:57 | ||||||||||||||||
| Last Modified: | 14 Nov 2023 09:34 |
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