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Methods and Model Dependency of Extreme Event Attribution: The 2015 European Drought
Science on the role of anthropogenic influence on extreme weather events, such as heatwaves or dr...
M Hauser, L Gudmndsson, R Orth, A Jézéquel, K Haustein, R Vautard, GJ van Oldenborgh, L Wilcox, SI Seneviratne | Status: published | Journal: Earths Future | Volume: 5 | Year: 2017 | First page: 1034 | Last page: 1043 | doi: 10.1002/2017EF000612
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Attribution of Extreme Rainfall Events in the South of France Using EURO‐CORDEX Simulations
This study investigates how climate change affects the daily extreme precipitation events that oc...
LN Luu, R Vautard, P Yiou, GJ van Oldenborgh, G Lenderink | Status: published | Journal: Geophys. Res. Lett. | Volume: 45 | Year: 2018 | First page: 6242 | Last page: 6250 | doi: 10.1029/2018GL077807
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Future snowfall in western and central Europe projected with a high-resolution regional climate model ensemble
Snowfall frequency and intensity are influenced strongly by climate change. Here we separate the ...
H de Vries, G Lenderink, E van Meijgaard | Status: published | Journal: Geophys. Res. Lett. | Volume: 41 | Year: 2014 | First page: 4294 | Last page: 4299 | doi: 10.1002/2014GL059724
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Extreme Precipitation and Climate Gradients in Patagonia Revealed by High-Resolution Regional Atmospheric Climate Modeling
This study uses output of a high-resolution (5.5 km) regional atmospheric climate model to descri...
JTM Lenaerts, MR van den Broeke, JM van Wessem, WJ van den Berg, E van Meijgaard, LH van Ulft, M Marius Schaefer | Status: published | Journal: J. Climate | Volume: 27 | Year: 2014 | First page: 4607 | Last page: 4621 | doi: http://dx.doi.org/10.1175/JCLI-D-13-00579.1
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Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks
Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...
Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Journal: Monthly Weather Review | Volume: 149 | Year: 2021 | First page: 1141 | Last page: 1152 | doi: 10.1175/MWR-D-20-0219.1
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