Revealing the Impact of Global Heating on the Meridional Overturning Circulation

Explore the impact of global heating on the Meridional Overturning Circulation through a 45-minute conference talk delivered by Maike Sonnewald at the Kavli Institute for Theoretical Physics. Delve into the application of transparent machine learning techniques to uncover insights about this crucial climate system component. Recorded as part of the Machine Learning for Climate KITP conference, this presentation addresses the challenges climate scientists face in informing society about future regional and local changes. Discover how big data and machine learning algorithms are revolutionizing climate research, enabling detailed analysis of complex, multi-scale processes encompassing physical, chemical, and biological realms. Learn about the potential for descriptive inference to drive new theories, validate existing ones, and provide data-driven answers to pressing climate questions when combined with modeling experiments and robust parameterization research.