On Wednesday, Google’s DeepMind division announced what may go down as the most significant advancement in weather forcasting in nearly eight decades of work.

Pretty much the only thing I think AI could be useful for - forecasting the weather based off tracking massive amounts of data. I look forward to seeing how this particular field of study is improved.

Bonus points, AI weather modeling, for once, saves energy relative to physics models. Pair it with some sort of light weight physical model to keep the hallucinations at bay, and you’ve got a good combo.

  • hcbxzz@lemmy.worldEnglish
    5·
    8 days ago

    You’re better off looking at QPFs than regular forecasts.

    But, if you’re wanting something like “will there be rain at this GPS coordinate at this time”, then under some conditions that is just impossible to predict. It’s not a problem with the how clever the models are or a lack of data, the physics makes it legitimately random.

    • futatorius@lemm.eeEnglish
      3·
      7 days ago

      Ensemble forecasts are better yet, but you need to learn what they mean before using them. Not many people understand how to interpret probabilistic forecast data.