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End-to-End Observation-Based ML forecasting podcast
Format:
Podcast
Playlist:
Machine Learning for Earth Systems Modelling: Architectures, Data, and Prediction
Published:
July 24, 2026
In this podcast observation-based ML is discussed. From its methods and architecture to challenges and opportunities of...
Trust, Transparency, and the Changing Skill of Forecasting in the Age of AI
Format:
Podcast
Playlist:
Machine Learning for Earth Systems Modelling: Foundations and New Frontiers
Published:
April 24, 2026
Stefanie Holborn is head of the observation, modelling, and verification centre at Deutscher Wetterdienst (DWD), and...
Predictability for AI based Earth System Models
Format:
Podcast
Playlist:
Machine Learning for Earth Systems Modelling: Foundations and New Frontiers
Published:
April 24, 2026
Tobias Seiz is a researcher on atmospheric predictability on KIT. In this podcast, he introduces the concept of...
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