a, Days with below average wind power generation in Central Europe are identified by a low value of the f-parameter (f(t) ≤ fth) in the GCM output. To determine the optimal value of the threshold fth, for each circulation weather type (CWT, here, the western type is shown) we compare the f-parameter to the German wind power output R(t), calculated from the dynamically downscaled ERA-Interim reanalysis dataset [48]. b, Absolute change of the duration of periods with f(t) ≤ fth by the end of the century (eoc, 2070-2100) compared to the historical time frame (h, 1970-2000) for a strong climate change scenario (RCP8.5) for 22 GCMs in the CMIP5 ensemble. The change of the mean duration, the 90% quantile and the 95% quantile of the duration distr...
The predictability of high impact weather events on multiple time scales is a crucial issue both in ...
International audienceA statistical method is developed to generate local cumulative distribution fu...
The predictability of high impact weather events on multiple time scales is a crucial issue both in ...
a, Distribution of the duration of periods during which the wind generation is continuously lower th...
A statistical-dynamical downscaling method is used to estimate future changes of wind energy output ...
A statistical-dynamical downscaling method is used to estimate future changes of wind energy output ...
The European energy system will undergo major transformations in the coming decades to implement mit...
The European energy system will undergo major transformations in the coming decades to implement mit...
The European energy system will undergo major transformations in the coming decades to implement mit...
Relative change of the winter-summer ratio of the average wind power yield 〈R〉DJF/〈R〉JJA (DJF: Decem...
Long phases of very low or high wind power are a potential thread to future energy systems with a hi...
Long phases of no or little wind power are a potential thread to future energy systems with a high s...
A transition to renewable energy is needed to mitigate climate change. This transition has been led ...
Future energy systems rely increasingly on the wind power supply. Understanding its characteristics ...
Wind energy resource is subject to changes in climate. To investigate the impacts of climate change ...
The predictability of high impact weather events on multiple time scales is a crucial issue both in ...
International audienceA statistical method is developed to generate local cumulative distribution fu...
The predictability of high impact weather events on multiple time scales is a crucial issue both in ...
a, Distribution of the duration of periods during which the wind generation is continuously lower th...
A statistical-dynamical downscaling method is used to estimate future changes of wind energy output ...
A statistical-dynamical downscaling method is used to estimate future changes of wind energy output ...
The European energy system will undergo major transformations in the coming decades to implement mit...
The European energy system will undergo major transformations in the coming decades to implement mit...
The European energy system will undergo major transformations in the coming decades to implement mit...
Relative change of the winter-summer ratio of the average wind power yield 〈R〉DJF/〈R〉JJA (DJF: Decem...
Long phases of very low or high wind power are a potential thread to future energy systems with a hi...
Long phases of no or little wind power are a potential thread to future energy systems with a high s...
A transition to renewable energy is needed to mitigate climate change. This transition has been led ...
Future energy systems rely increasingly on the wind power supply. Understanding its characteristics ...
Wind energy resource is subject to changes in climate. To investigate the impacts of climate change ...
The predictability of high impact weather events on multiple time scales is a crucial issue both in ...
International audienceA statistical method is developed to generate local cumulative distribution fu...
The predictability of high impact weather events on multiple time scales is a crucial issue both in ...