This session aims at bringing together contributions from the growing interface between the Earth science, mathematical, and theoretical physical communities. Our goal is to stimulate the interaction among scientists of these and related disciplines interested in solving environmental and geoscientific challenges. Considering the urgency of the ongoing climate crisis, such challenges refer, for example, to the theoretical understanding of the climate and its subsystems as a highly nonlinear, chaotic system, the improvement of the numerical modelling via theory-informed and data-driven methods, the search for new data analysis methods, and the quantification of different types of impacts of global warming.
Specific topics include: PDEs, numerical methods, extreme events, statistical mechanics, thermodynamics, dynamical systems theory, response theory, tipping points, model reduction techniques, model uncertainty and ensemble design, non-linear waves, stochastic processes, 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.
This session resulted from the merging of "NP1.1 Mathematics of Planet Earth", "NP2.1 Complexity, Nonlinearity, and Stochastic Dynamics in the Earth System", "NP5.1 Inverse problems, Predictability, and Uncertainty Quantification in the Earth System using Data Assimilation and its combination with Machine Learning" and "NP7.1 Non-linear Waves and Triggering Effects".