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Event Overview
The conference titled Data-driven climate modelling: Opportunities and challenges will delve into the transformative impact of data-driven approaches on climate science. Scheduled for February 4, 2027, from 16:00 to 17:00, this event will be held at the University of Birmingham, specifically in Room 125 of the Geography Building.
As climate modelling evolves, the integration of Artificial Intelligence Weather Prediction (AIWP) models is becoming increasingly significant. These models have demonstrated substantial improvements in accuracy, speed, and computational efficiency in weather forecasting. However, adapting these methods for climate timescales presents unique challenges. The conference will explore how climate modelling requires distinct approaches compared to weather prediction, highlighting recent advancements in the field.
Keynote Speaker
Mr. George Jordan, an Earth System and Mitigation Scientist from the Met Office Hadley Centre, will lead discussions on the latest developments and findings from experiments utilizing the atmospheric machine-learning model, Aurora.
Registration Information
Registration is currently open and is available for in-person attendance only. Members of the Royal Meteorological Society are encouraged to log in to their accounts for registration, while non-members will need to create an account. This event is free to attend and welcomes both experts and enthusiasts interested in the latest advancements in weather and climate science.
For more details and to register, visit the Royal Meteorological Society event page.
