Spatial synchronization patterns of heavy precipitation events in Europe 
In this subproject, we develop a methodological framework rooted in complex system science and machine learning to study spatiotemporal patterns of multi-variate and compound extreme events. The framework will be applied to observational and reanalysis data as well as climate model simulations to (1) investigate teleconnections in terms of spatial synchronization patterns of heavy precipitation and storm events and their dependence on large-scale ciruculation patterns with a focus on the predictability of these events; (2) assess the representation of (compound) precipitation and storm extremes and their teleconnections in state-of-the-art general circulation models via comparisons with corresponding observational data; (3) estimate the stability of such teleconnection patterns over time both in historical observations and reanalysis, as well as in climate model projections, to identify potential changes caused by anthropogenic climate change.
Institution: Potsdam Institute for Climate Impact Research
Contact: Niklas Boers