No surprises here. If it is out of distribution it will be hard to predict with ML (AI). Increasingly the weather will slide in a permanent state of being "out of distribution".
Obviously, you can always continuously fine tune the model but then it loses a part of its cost advantage. Augmentation techniques, based upon simulated scenarios of state of the art physical models could help.
https://e360.yale.edu/digest/ai-extreme-weather-prediction
npub1nl…uzenl
2025-05-26 14:18:02 UTC
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npub1nl4qthywk2gy8ez0mlthmjwknk9cpnaq67haj3f4nxeeydmq0pfsduzenlSeen on
wss://relay.momostr.pinkPublished at
2025-05-26 14:18:02 UTCEvent JSON
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