The article "Future climate risk from compound events" by Zscheischler et al. (2018) published in *Nature Climate Change* discusses the importance of understanding and modeling compound events— events that result from the interaction of multiple climate drivers and hazards. Traditional risk assessment methods often overlook these interactions, leading to underestimation of potential impacts. The authors highlight examples such as the 2010 Russian heatwave, which was exacerbated by drought and wildfires, and Hurricane Sandy, which was influenced by multiple weather systems. They argue that a paradigm shift is needed in climate impact analyses, emphasizing the need for bottom-up approaches that focus on the combinations of drivers and hazards leading to societal or environmental risks. The article also calls for improved modeling capabilities, including higher resolution climate models, to better capture the complex interactions of climate drivers and hazards. Additionally, it suggests the use of storytelling techniques to visualize and analyze unprecedented events, and provides recommendations for advancing research and risk management in this area.The article "Future climate risk from compound events" by Zscheischler et al. (2018) published in *Nature Climate Change* discusses the importance of understanding and modeling compound events— events that result from the interaction of multiple climate drivers and hazards. Traditional risk assessment methods often overlook these interactions, leading to underestimation of potential impacts. The authors highlight examples such as the 2010 Russian heatwave, which was exacerbated by drought and wildfires, and Hurricane Sandy, which was influenced by multiple weather systems. They argue that a paradigm shift is needed in climate impact analyses, emphasizing the need for bottom-up approaches that focus on the combinations of drivers and hazards leading to societal or environmental risks. The article also calls for improved modeling capabilities, including higher resolution climate models, to better capture the complex interactions of climate drivers and hazards. Additionally, it suggests the use of storytelling techniques to visualize and analyze unprecedented events, and provides recommendations for advancing research and risk management in this area.