Attention: Information about the workshop for all registered participants will be sent via mlesm-workshop@cesoc.net or mlesm-registrations@cesoc.net. Please make sure to mark them as safe, i.e., not spam/junk.

No time to attend our MLESM event but interested anyway, stay tuned and subscribe at mlesm-workshop@listen.uni-bonn.de.

We are pleased to announce the fourth Workshop on Machine Learning for Earth System Modelling

following a series of three workshops on Large-Scale Deep Learning for the Earth System. This year the workshop will follow the Hackathon on Machine Learning for the Earth System.

The workshop will take place on August 24 – 26, 2026 in the Universitätsclub Bonn, Germany. 

[needs update] On-site registration and abstract submission are closed. It is still possible to register for online attendance until Thursday, August 21^st, 2026 23:59 UTC

The Workshop Programme will be soon available here. [needs update]

Check the timeline below for an overview! You can also check the Abstracts & Registration page soon for more information! [needs update]

The workshop will again bring together the leading groups that develop large-scale neural networks for weather and climate.

Topics include:

• • 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 model
  • Datasets for model training, evaluation and benchmark

Read about our workshop last years, 2025 and 2024.

Scientific Review Committee: [needs update]

• Christian Lessig (ECMWF)

• Jürgen Gall (University of Bonn)

• Imme Ebert-Uphoff (Colorado State University)

• Dale Durran (University of Washington)

• Matthew Chantry (ECMWF)

Local Organising Committee

• Martin Schultz (Jülich Supercomputing Center) 

• Christian Lessig (ECMWF)

• Hana Mohammed (CESOC Coordination)

• Daniel Minge (TRA Modelling, University of Bonn)

We gratefully acknowledge the support by
CESOC, ECMWF, the TRA Modelling at the University of Bonn, the Forschungszentrum Jülich and the University of Cologne.

Acknowledgement: The Microsoft CMT service will be used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

For questions please contact us via email:
mlesm-workshop@cesoc.net