Artificial Intelligence

Many phenomena in Earth system dynamics are complex in the sense that they emerge from nonlinear interactions of large numbers of processes across wide ranges of temporal and spatial scales. Modelling such phenomena on the basis of the underlying fundamental physical laws poses serious challenges, in particular in situations of strongly nonlinear behavior that may lead to abrupt state transitions, or if one is interested in the characteristics of extreme events.

In this working group, we explore mathematical techniques to investigate and model complex Earth system processes with a strong focus on combining process-based with Machine Learning approaches.