Floods, wildfires, heatwaves and droughts often result from a combination of interacting physical processes across multiple spatial and temporal scales. The combination of processes (climate drivers and hazards) leading to a significant impact is referred to as a ‘compound event’. Traditional risk assessment methods typically only consider one driver and/or hazard at a time, potentially leading to underestimation of risk, as the processes that cause extreme events often interact and are spatially and/or temporally dependent. Here we show how a better understanding of compound events may improve projections of potential high-impact events, and can provide a bridge between climate scientists, engineers, social scientists, impact modellers and decision-makers, who need to work closely together to understand these complex events.
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Many ideas laid out in this paper emerged from a workshop ‘Addressing the challenge of compound events’ held in April 2017 at ETH Zurich. This workshop has also led to the recently approved EU COST Action DAMOCLES (CA17109). DAMOCLES will coordinate research activities laid out in this Perspective. We thank E. Fischer for presenting the initial idea that has led to Fig. 2 during the workshop. The workshop would not have been possible without generous funding from the World Climate Research Programme, the Australian Research Council Center of Excellence for Climate System Science (ARCCSS), ETH Zurich, the Vrije Universiteit Amsterdam and The Netherlands Organisation for Scientific Research (VIDI grant no. 016.161.324). The funding was primarily used to invite promising Early Career Scientists working on compound events to attend the workshop. S.W. was supported by ARC Discovery project DP150100411. B.J.J.M.v.d.H. acknowledges funding from the IMPREX research project supported by the European Commission under the Horizon 2020 Framework programme with grant no. 641811. S.I.S. acknowledges the European Research Council (ERC) DROUGHT-HEAT project funded by the European Community’s Seventh Framework Programme with grant no. 617518. This work contributes to the World Climate Research Programme (WCRP) Grand Challenge on Extremes.
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