In this short course, we will present an overview of contemporary topics that employ complex systems-based approaches in the geosciences. We will explore successful applications across the geosciences, including climate change. Our primary focus will be on understanding tipping points and early warning indicators associated with them, identifying causal relationships among sets of observables, and integrating these approaches within a multi-scale dynamical framework. By employing these data analysis tools, various aspects of both recurrent and emergent physical processes can be investigated.
19:00–19:05
5-minute convener introduction
19:05–19:20
Tipping points in geosciences
19:20–19:35
Causality and how we can infer it from geoscientific time series data
19:35–19:50
Data-driven decomposition methods for geoscientific time series
19:50–20:00
Q&A
Speakers
- Peter Ditlevsen, University of Copenhagen, Denmark
- Reik Donner, Magdeburg-Stendal University of Applied Sciences, Germany
- Tommaso Alberti, Istituto Nazionale di Geofisica e Vulcanologia, Italy