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The KNMI Large Ensemble Time Slice (KNMI–LENTIS)
Large-ensemble modelling has become an increasingly popular approach to studying the mean climate...
L Muntjewerf, R Bintanja, T Reerink, K van der Wiel | Journal: Geoscientific Model Development | Volume: 16 | Year: 2023 | First page: 4581 | Last page: 4597 | doi: 10.5194/gmd-16-4581-2023
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A new high-resolution ocean wind forcing product for the Copernicus Marine Service
As more than 70% of the earth surface is covered by water, exchanges of heat, gases and momentum ...
Rianne Giesen, Ad Stoffelen, Ana Trindade, Liselotte van Cranenburgh, Marcos Portabella | Journal: EGU General Assembly | Year: 2022 | doi: https://doi.org/10.5194/egusphere-egu22-7624
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Evaluating the diurnal cycle of South Atlantic stratocumulus clouds as observed by MSG SEVIRI
Marine stratocumulus (Sc) clouds play an essential role in the earth radiation budget. Here, we c...
Seethala, C., Meirink, J. F., Horv´ath, A., Bennartz, R., and Roebeling, R | Journal: Atmospheric Chemistry and Physics | Volume: 18 | Year: 2018 | doi: https://doi.org/10.5194/acp-18-13283-2018
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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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D3.4 REPORT ON INVERSIONS FOR WIND FIELD DERIVATION/ IMPROVEMENT
Infrasound recordings in the 0.1 to 4 Hz band as input of inversion procedures to delineate the v...
J Assink, A Le Pichon, F Baier, PSM Smets | Year: 2014
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