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AI-boosted rare-event sampling framework improves extreme weather prediction accuracy

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3h ago· 5 min readenNews

Summary

Researchers have developed an AI-boosted rare-event sampling framework that combines artificial intelligence with physical climate modelling to more accurately predict the frequency of extreme weather events like heatwaves. The study, conducted by scientists in the US and France, demonstrates that this protocol can characterize rare weather events better than current methods, potentially improving climate risk assessment and preparedness.

Source

bskyAI-boosted rare-event sampling framework improves extreme weather prediction accuracyphysicsworld.com

Key quotes

· 2 pulled
The frequency of extreme weather events can be predicted more accurately than presently possible by combining artificial intelligence (AI) with physical climate modelling, using a protocol called rare-event sampling.
That's the conclusion of a study from researchers in the US and France.
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Combining artificial intelligence with physical climate modelling enables more accurate characterization of rare weather events

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