AS4.35/CL3.08/HS4.1.4AS4.35/ CL3.08/ HS4.1.4

Large Ensemble Climate Model Simulations: Exploring Natural Variability, Climate Change Signal, Extremes and Compound Events at various Spatio-Temporal Scales (co-organized) 
Convener: Ralf Ludwig  | Co-conveners: Emma Aalbers , Martin Leduc , Alain Mailhot , Raul R. Wood 
Several large ensemble model simulations, either from Global Climate Models (GCM), Earth System Models (ESM), or Regional Climate Models (RCM), have been generated over the recent years. They are breaking ground to investigate natural climate variability and how climate change signals may emerge from natural variability. Combining large ensemble simulations also provides long time series to investigate the dynamics of hydro-meteorological extremes and to assess compound events (e.g., successive or simultaneous extreme events) under conditions of climate change. This session welcomes studies using large GCM, ESM, or RCM ensembles and looking at the following topics: 1) impacts of natural climate variability; 2) assessment of extreme
event occurrence in historical and future climate; 3) development of projections for compound events; 4) comparison of large ensembles including uncertainty assessment; and 5) novel methods for efficient analyses and post-processing.