The outlook for AI weather prediction

Imme Ebert-Uphoff () and Kyle Hilburn ()

Nature, 2023, vol. 619, issue 7970, 473-474

Abstract: Two models demonstrate the enormous potential that artificial intelligence holds for weather prediction. But the risks involved demand that meteorologists learn to design, evaluate and interpret such systems.

Keywords: Climate sciences; Machine learning (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1038/d41586-023-02084-9

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