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Swiss Ai Research Overview Platform
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Extreme events such as e.g. heatwaves and precipitation extremes are becoming more frequent with climate change. These extremes have devastating impacts on ecosystems, human health, infrastructure, and a range of other sectors. It is therefore crucial to know the future evolution of such events and to be able to predict their occurrence on timescales of weeks to decades ahead. This can in part be achieved by improving the components of weather and climate models. In addition, a better understanding of these extremes can significantly improve their prediction. For many extreme events, both remote drivers and local feedbacks can be identified that contribute to these events. Understanding these drivers and feedbacks contributes to an improved prediction of extremes. The “Atmospheric Processes” group investigates global- to regional-scale processes that can lead to a better understanding, prediction, and longterm projection of weather and climate, with a focus on extreme events. This includes the large-scale dynamics of the upper and lower atmosphere, interactions between the tropics, midlatitudes, and polar regions, and the interaction with the surface in terms of ocean, land, and ice/snow surfaces.