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44:00

Episode 3: How realistic are AI weather models?

by

Martin Schultz,

Peter Dueben,

Greg Hakim

Prof. Dr. Greg Hakim

University of Washington

Greg Hakim is a leading atmospheric scientist currently using deep-learning models for novel research on predictability, data assimilation, sensitivity analysis and extreme events in current and historical time periods.

Prof. Dr. Martin Schultz

Jülich Supercomputing Centre, University of Cologne

Martin Schultz hosts the podcast, bringing extensive experience and knowledge in Earth System modelling and machine learning from his work as head of the research group Earth System Data Exploration, co-lead of the Large-Scale Data Science division and University Professor at the University of Cologne.

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