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The MSG-SEVIRI-based cloud property data record CLAAS-2
Clouds play a central role in the Earth's atmosphere, and satellite observations are crucial for ...
Benas, N., Finkensieper, S., Stengel, M., van Zadelhoff, G.-J., Hanschmann, T., Hollmann, R., and Meirink, J. F | Journal: Earth System Science Data | Year: 2017 | doi: https://doi.org/10.5194/essd-9-415-2017
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Estimating surface-level nitrogen dioxide concentrations from Sentinel-5P/TROPOMI observations in Finland
In recent decades, satellite instruments have been providing observations of air pollutants such ...
Henrik Virta, Iolanda Ialongo, Monika Szeląg, Henk Eskes | Journal: Atmospheric Environment | Volume: 312 | Year: 2023 | First page: 119989 | doi: 10.1016/j.atmosenv.2023.119989
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Automatic Curve Extraction (ACE) Framework
Digitization of the information on meteorological strip charts is a time consuming activity. This...
Hans van Piggelen, Jeroen Lichtenauer, Theo Brandsma | Year: 2010 | Pages: 50
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Het KNMI-programma Hisklim (Historisch Klimaat)
Het KNMI heeft een grote achterstand bij het digitaliseren, bewerken, beschik-baar stellen en beh...
Theo Brandsma, Frits Koek, Hendrik Wallbrink, Günther Können | Year: 2000 | Pages: 72
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Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models
Climate change has a large influence on the occurrence of extreme hydrological events. However, r...
SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108
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