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Royal Meteorological Society Data-driven climate modelling: Opportunities and challenges

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Lecture
In-person · Birmingham•FREE
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Hear Met Office Hadley Centre’s George Jordan unpack experiments with Aurora, an atmospheric machine-learning model, and whether AI weather prediction can work on climate timescales. Compare why climate modelling poses a different challenge, at a free in-person event at the University of Birmingham.

This Royal Meteorological Society meeting explores how data-driven approaches are transforming weather forecasting, with a particular focus on Artificial Intelligence Weather Prediction models and the question of whether similar methods can be adapted to climate timescales. The talk looks at why climate modelling presents a different challenge from weather prediction and examines recent progress in the field.

Mr George Jordan of the Met Office Hadley Centre will discuss climate modelling approaches and results from Met Office experiments with the atmospheric machine-learning model, Aurora. The event is open to all, from experts to enthusiasts, and registration is available for in-person attendance only.

It is free to attend and takes place at the University of Birmingham.

Featured Speaker

Mr George Jordan, Earth System and Mitigation Scientist, Met Office Hadley Centre, Exeter

PhysicsComputer ScienceScience, Research & Sustainability
1

4 February 2027, 16:00 – 17:00

Duration: 1 hour

Location

In-person · University of Birmingham, Room 125, Geography Building, Birmingham
Free to participate

Free to attend. Registration is required.

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