[marcyb5st]

When it comes to medium range predictions. If you look at nowcasting, I believe the top dog is metnet 3 (https://arxiv.org/abs/2306.06079).

On a tangential note, I worked on weather forecasting a bit before, and talking with some people still in the field it seems that these organizations (NOAA, ECMWF) are stuck with NWP and refuse to embrace AI models. Not sure if they can't attract talent and so are somewhat stuck or if their higher ups are "old school" and can't really see the potential that this approach has to offer. It is just sad that the private sector is outclassing institutions and that these better models won't hit the public domain.

[plantain]

> talking with some people still in the field it seems that these organizations (NOAA, ECMWF) are stuck with NWP and refuse to embrace AI models This is trivially verifiable as not true. ECMWF is all over AI:

https://www.ecmwf.int/en/newsletter/178/news/aifs-new-ecmwf-...

https://github.com/ecmwf-lab/ai-models

And they are hiring with competitive salaries (for Europe).

[AStonesThrow]

If only we'd put forecasting on the blonkchain so we could defend against 51% tornadoes

[blueelephanttea]

> When it comes to medium range predictions. If you look at nowcasting, I believe the top dog is metnet 3 (https://arxiv.org/abs/2306.06079).

I don't consider 24 hour forecasts "medium range". And I don't really view MetNet-3 a competitor to GFS or ECMWF at all (currently).

[carabiner]

Windy.com offers ECMWF-AIFS models to paid subscribers. ECMWF seems to be all-in on the ML-based, as opposed to physical, NWP, but it's not clear ML approaches are superior.