It was tested on over 1,320 weather scenarios, including tropical cyclones and heatwaves.

During the experiments, researchers asked GenCast to generate a forecast for 2019.

They then compared the results to the actual weather during that year as well as ENS predictions.

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The fancy name for this technique is probabilistic ensemble forecasting.

Its already the gold standard in traditional forecast systems.

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However, GenCast is taking things up a notch.

By contrast, GenCast runson a single Google Cloud TPU, a chip designed for machine learning.

GenCast improves upon DeepmindsGraphCast modelunveiled last year.

Siôn Geschwindt

So will AI replace traditional forecasting soon?

Models like GenCast still rely on data from traditional weather systems and models to train and calibrate their predictions.

However, AI can certainly enhance current methods.

Story bySion Geschwindt

Sion is a freelance science and technology reporter, specialising in climate and energy.

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