Episode 1: The Role of AI in Weather Forecasting

Prof. Dr. Christian Lessig

ECMWF, Chief developer of the WeatherGenerator model

Senior scientist Christian Lessig leads the machine learning modelling team in the WeatherGenerator project. Together with his team, he explores how to build better machine learning models for weather forecasts as well as Earth System models for a range of applications including longer time forecasts.

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.

Prof. Dr. Peter Dueben

ECMWF, Coordinator of WeatherGenerator project

Within the WeatherGenerator Project, Peter Dueben acts as the head of Earth System modelling, helping build models for medium range forecasts. He oversees the physical model which is used for forecasting as well as the integration of machine learning.