this post was submitted on 04 Dec 2024
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106
DeepMind's GenCast AI is really good at forecasting the weather (www.engadget.com)
submitted 1 month ago by [email protected] to c/technology
39 comments fedilink hide all child comments
 

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.

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[–] [email protected] 28 points 1 month ago (12 children)

Yeah, I've long thought that weather forecasts are a perfect use case for AI. AI is great with complicated systems that are hard to model accurately but have lots of available data.

Current weather forecasts kinda suck. I try to schedule jobs around when it's going to rain, and have to frequently reschedule because rain forecasts aren't very accurate. I really hope we can see improvements.

[–] hcbxzz 5 points 1 month ago* (last edited 1 month ago) (2 children)

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.

[–] [email protected] 3 points 1 month ago (1 children)

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.

[–] hcbxzz 1 points 1 month ago* (last edited 1 month ago)

I thought QPFs are generated from ensemble forecasts?

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