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Strandgren, Johan and Bugliaro Goggia, Luca and Sehnke, Frank and Schröder, Leon (2017) Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks. Atmospheric Measurement Techniques (AMT), 10 (9), pp. 3547-3573. Copernicus Publications. doi: 10.5194/amt-10-3547-2017. ISSN 1867-1381.
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Official URL: http://dx.doi.org/10.5194/amt-10-3547-2017
Abstract
The new algorithm CiPS is presented and validated. CiPS detects cirrus clouds, identifies opaque pixels and retrieves the corresponding optical thickness, cloud top height and ice water path from the geostationary imager MSG/SEVIRI. CiPS utilises a set of four artificial neural networks trained with space-borne lidar data, thermal MSG/SEVIRI observations, model data and auxiliary data. To demonstrate the capabilities of CiPS, the life cycle of a thin cirrus cloud is analysed.
| Item URL in elib: | https://elib.dlr.de/114488/ | |||||||||||||||
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| Document Type: | Article | |||||||||||||||
| Title: | Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks | |||||||||||||||
| Authors: |
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| Date: | 29 September 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-10-3547-2017 | |||||||||||||||
| Page Range: | pp. 3547-3573 | |||||||||||||||
| Publisher: | Copernicus Publications | |||||||||||||||
| ISSN: | 1867-1381 | |||||||||||||||
| Status: | Published | |||||||||||||||
| Keywords: | cirrus clouds, remote sensing, SEVIRI, neural networks | |||||||||||||||
| 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: | 23 Oct 2017 08:52 | |||||||||||||||
| Last Modified: | 08 Mar 2018 18:10 |
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