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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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Droog, droger, droogst - KNMI/RIZA bijdrage aan de tweede fase van de Droogtestudie Nederland
In de zomer van 2000 heeft de commissie ‘Waterbeheer 21e eeuw’ (WB21) advies uitgebracht over de ...
Jules Beersma, Adri Buishand, Hendrik Buiteveld (RIZA) | Year: 2004 | Pages: 52
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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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