Machine learning is increasingly used in weather and climate science. While AI-based weather forecasts can now rival or outperform traditional Numerical Weather Prediction at short time scales, extending these methods to climate – especially under changing conditions – remains a major challenge. Observational data are limited, and the climate system involves complex interactions and feedbacks that are not easily captured. This workshop asks: how can we push AI beyond forecasting and emulation to help understand and model the climate of tomorrow?
If you see yourself as a pioneer shaping the next generation of climate modelling – someone who thinks beyond boundaries and wants to move the field forward together with others – then we warmly invite you to register.
Read more here and register soon!
