Check out our latest article on Data Driven Climate Modelling: how can AI improve climate and weather prediction?

Understanding and accurately predicting the behaviour of the Earth system is crucial to adapt to our changing climate. As the volume of weather and climate data continues to grow, the challenge is not just storing information, but learning how to utilise it effectively to forecast both localised extreme weather events and global future climate scenarios. Education has a key role in transforming climate data into meaning, actionable insight.

Machine learning is seen as a promising way to address the current challenges of climate and weather forecasting, where traditional numerical models often fail to produce accurate predictions. AI-based approaches have the potential to not just improve weather and climate forecast, but also reduce the need for computational and economic resources, as well as address the issue of climate data inequity.

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