Machine Learning for Earth System Modelling
(formally Large-Scale Deep Learning for the Earth System)

that will take place again in Bonn, Germany, and online on August 25-27,
2025.

The workshop will discuss the latest developments on large-scale machine
learning for Earth system modelling and will cover the following topics:

– Machine learning-based numerical weather prediction
– Climate emulators and machine learning-based climate models
– Machine learning-based Earth system component models, such as ocean
and land models
– Incorporation of Earth system observations in the above models
– Evaluation and explainability of the above models
– Datasets for model training, evaluation and benchmarks

Registration and abstract submission will open in April 2025. For
further details and updates, please visit:
https://cesoc.net/third-workshop-on-machine-learning-for-the-earth-system/

Additionally, the workshop will be followed by a Hackathon from August
27-29,2025 – a hands-on event for PhD students and early-career
researchers passionate about applying ML to weather and climate research!

For more information about the Hackathon, please visit:
https://cesoc.net/hackathon-on-machine-learning-for-the-earth-system/ –
Apply from March 17th!

We look forward to seeing you in Bonn!

Matthew Chantry (ECMWF)
Dale Durran (University of Washington)
Juergen Gall (University of Bonn)
Christian Lessig (ECMWF)
Martin Schultz (Forschungszentrum Jülich)
Imme Ebert Uphoff (Colorado State University)