  Rapid changes in climatic conditions threaten both socioeconomic and
ecological systems, as these might not be able to adapt or to migrate at the
same pace as that of global warming. In particular, an increase of weather and
climate extremes can lead to increased stress on human and natural systems, and
a tendency for serious adverse effects. We rely on the EURO-CORDEX simulations
and focus on the the screen-level daily mean temperature (T2m). We compare the
shifting velocities of the cold and hot extremes with these of the associated
central trends, i.e., the arithmetical mean or median. We define the extremes
relative to the T2m distribution as it evolves with time over the period of
1951--2100. We find that temperature extremes shift at a similar velocity
compared to that of the central trends. Accordingly, the T2m probability
distribution shifts mostly as a whole, as the tails of the distribution
increase together with the central trends. Exceptions occur however in specific
regions and for the clustering of warm days, which shifts slower than all other
extremes investigated in this study.
