Harmonization of Meteosat First and Second Generation Datasets for Fog and Low Stratus Studies

Operational weather satellites, dating back to 1970s, currently provide the best basis for climatological investigations, such as an analysis of changes in the cloud cover. Because clouds are highly dynamic in time, temporally high-resolution data from the geostationary orbit are preferred in order...

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Main Authors: Gaurav, Sheetabh, Egli, Sebastian, Thies, Boris, Bendix, Jörg
Format: Article
Language:English
Published: Philipps-Universität Marburg 2023
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Call Number: urn:nbn:de:hebis:04-es2024-02915
Publication Date: 2024-01-15
Source: Erstveröffentlichung: Gaurav, S.; Egli, S.; Thies, B.; Bendix, J. Harmonization of Meteosat First and Second Generation Datasets for Fog and Low Stratus Studies. Remote Sens. 2023, 15, 1774. https://doi.org/10.3390/rs15071774
Downloads: 36 (2024)
License: https://creativecommons.org/licenses/by/4.0
Access URL: https://archiv.ub.uni-marburg.de/es/2024/0291
https://doi.org/10.3390/rs15071774