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WeatherNext 2: Our most advanced weather forecasting model

(blog.google)
291 points meetpateltech | 1 comments | 17 Nov 25 15:04 UTC | HN request time: 0.201s | source
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timenotwasted ◴[17 Nov 25 17:36 UTC] No.45955876[source]▶
It feels like real weather AI|Forecast|whatever_you_want_to_call_it is still far, far away. Maybe it's just the consumer aspect of weather apps but I don't feel as if I get any more accurate data now than I did back when my parents turned to the daily weather channel for the forecast. Still a lot of clear days when rain was predicted or the even more dreaded torrential downpour when it was supposed to be sunny and clear.

Obviously all I have is anecdata for what I'm mentioning here but from a consumer perspective I don't feel like these model enhancements are really making average folks feel as if weather is any more understood than it was decades ago.

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1. tomaskafka ◴[18 Nov 25 12:48 UTC] No.45964989[source]▶
The forecasts are being actively improved, it's just not an overnight step change.

For example, I have just added rainbow.ai short term precipitation forecast into https://weathergraph.app, and it's the best short term forecast I have ever used - based on radar data + AI prediction based on wind etc.

It sounds simple, but there is surprising complexity even just getting (in fast predicting) the 'ground truth' from the radar data, as each radar is noisy, is updated at a different time, might not work at a time ... so even the "current precipitation according to radars" is not a reading, but a result of ML model.