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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Autoren: | , , , |
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פורמט: | Artikel |
שפה: | אנגלית |
יצא לאור: |
Philipps-Universität Marburg
2023
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גישה מקוונת: | PDF-Volltext |
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PDF-Volltextסימן המיקום: |
urn:nbn:de:hebis:04-es2024-02915 |
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Publikationsdatum: |
2024-01-15 |
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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 |
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39 (2024) |
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https://creativecommons.org/licenses/by/4.0 |
Zugangs-URL: |
https://archiv.ub.uni-marburg.de/es/2024/0291 https://doi.org/10.3390/rs15071774 |