In this insightful webinar Professor Christian Kuehn from Technical University of Munich explores the intersection of mathematics and climate science to predict the tipping points of the Atlantic Meridional Ocean circulation (AMOC). Find out about the fascinating story of a correspondence between Professor Ludwig Arnold and Nobel Prize-winning climate scientist Klaus Hasselmann, highlighting the critical role of stochastic processes in climate modelling. Discover how mathematical analysis can provide early warning signals for significant climate changes, inspired by Hasselmann's groundbreaking 1976 paper.
Sarcastic what?
Think about taking a bus to work. Usually, you take the same route (predictable system). But if you discover there's unexpected construction (randomness or stochastic), you might have to take different detours (different path or bifurcation) each day. Your route to work changes based on these random events.
Relevance to climate
Complex systems like weather patterns, financial markets, or biological processes can be understood using insights on stochastic bifurcations. These systems can behave unpredictably due to random influences, and studying these changes helps scientists and engineers develop better models and predictions. The mathematical concept of stochastic bifurcations helps us understand dramatic shifts in our climate systems. Professor Christian Kuehn applies math analysis to understand the early-warning sings of tipping of the Atlantic Ocean currents.
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Image credit: Thumbnail collage by Kuat Abeshev. Background image: Photo by Matt Hardy on Unsplash.
