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AI outperforms conventional weather forecasting methods for first time

Google DeepMind’s model beat world’s leading system in 90% of metrics used and took only a fraction of the time
A forecast of surface wind speeds taken from the GraphCast AI model. One expert said AI systems in meteorology had progressed ‘far sooner and more impressively than we expected even two years ago’

Artificial intelligence has for the first time convincingly outperformed conventional forecasting methods at predicting weather around the world up to 10 days into the future.

The GraphCast AI model “marks a turning point in weather forecasting”, its developers at Google DeepMind said in a peer-reviewed paper published in the journal Science on Tuesday.

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