Papers are solicited related to the understanding and prediction of weather and climate extremes, from both an atmospheric sciences and a dynamical/thermodynamical viewpoint.

The classical approach to extreme events computes their return times for static fields. However, two similar atmospheric fields (weather analogues) might not share the same physical origin or spatio-temporal evolution, thus hindering the identification of the extremes’ underlying drivers.

In this session we propose to group together the traditional atmospheric sciences and more mathematical/statistical approaches to the study of weather extremes. We aim to highlight the complementary nature of these two viewpoints, with the aim of gaining a deeper understanding of weather extremes.

Potential topics of interest include but are not limited to the following:

· How extremes have varied or are likely to vary under climate change;
· How well climate models capture extreme events;
· Attribution of extreme events;
· Emergent constraints on extreme weather;
· Linking dynamical systems extremes to weather and climate extremes;
· The atmosphere as a dynamical system: classification of large-scale atmospheric flows;
· Advances in diagnosing local and mean properties of the climate system as a dynamical system (e.g. maximum entropy production principles);
· Extremes in dynamical systems;
· Dynamical systems metrics as indicators of climate change;
· Dynamical downscaling of weather and climate extremes.