Understanding and predicting the climate system, especially high-impact events such as extremes and tipping points, is an urgent task due to the ongoing climate crisis. This session highlights contributions at the interface of Earth sciences, mathematics, and physics that bring new perspectives and methods to environmental and geoscientific challenges. We are particularly interested in advances that improve the theoretical understanding of complex climate dynamics, enhance numerical modelling with both theory-informed and data-driven approaches, develop innovative data analysis techniques, and quantify the impacts and uncertainties associated with global warming.
Specific topics include: extreme events, tipping points, dynamical systems , statistical mechanics, model reduction techniques, model uncertainty and ensemble design, PDEs, stochastic processes, numerical methods, parametrisations, data assimilation, and machine learning. We invite contributions both related to specific applications as well as more speculative and theoretical investigations. We particularly encourage early career researchers to present their interdisciplinary work in this session.
Anna von der Heydt, Meriem Krouma