GDB5 | Forecasting the Unprecedented: Machine Learning vs. Physics in Climate Science and the EU’s Strategic Position
Forecasting the Unprecedented: Machine Learning vs. Physics in Climate Science and the EU’s Strategic Position
Convener: Athanasios Nenes | Co-convener: Ulas Im
Programme
| Fri, 08 May, 08:30–10:15 (CEST)
 
Room E1
Programme
Fri, 08:30
As we approach the IPCC’s AR7 era, the landscape of climate prediction is more diverse—and contentious—than ever. Should we trust high-resolution, process-based models rooted in physical laws, or embrace the promise of machine learning, which some claim will soon surpass traditional approaches? With Earth observations and hybrid frameworks adding further complexity, a critical question emerges: can data-driven models anticipate a future climate that will be fundamentally different from anything in the observational record? This debate is urgent, as society demands actionable guidance on climate risks and tipping points.
At the same time, global leadership in climate science is shifting. With recent political developments in the US, the European Union faces both a challenge and an opportunity to shape the scientific and policy agenda. What should Europe’s role be in steering the next generation of climate modeling and ensuring robust, transparent advice for decision-makers? This session brings together leading voices from science, policy, and technology to debate the future of climate prediction, the limits of machine learning, and the responsibilities of the EU in a rapidly changing world.

Programme: Fri, 8 May, 08:30–10:15 | Room E1

The oral presentations are given in a hybrid format supported by a Zoom meeting featuring on-site and virtual presentations. The button to access the Zoom meeting appears just before the time block starts.
Chairpersons: Athanasios Nenes, Ulas Im
08:30–08:35
Introduction
08:35–09:35
Panel discussion
09:35–10:05
Q&A with the audience
10:05–10:15
Closing remarks

Speakers

  • Philip Stier, University of Oxford, United Kingdom
  • Annalisa Bracco, CMCC, Italy
  • Marc Deisenroth
  • Federico Fierli
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