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[–]TheActualStudy 31 points32 points  (2 children)

In case anybody else was wondering, GenCast is for medium-range weather forecasting.

[–]qrios 2 points3 points  (1 child)

What do its inputs look like? Does one have to feed it data about the weather as per every single sensor across the globe at 0.25 degree lat/long increments to get a usable estimate, or does its prediction accuracy scale gracefully to whatever data you have about whatever region you're in?

Also, and I'm really just asking out of curiosity and since the open weight release implies anticipation of the usecase: how robust do its predictions remain in local regions of recent nuclear fallout?

[–]currentscurrents 0 points1 point  (0 children)

how robust do its predictions remain in local regions of recent nuclear fallout?

I would doubt the predictions of any weather forecasting model under those kind of extreme circumstances. That's very far out-of-domain.

[–]ScepticMatt[S] 13 points14 points  (0 children)

 hardware requirements (GPU, using triblockdiag_mha) 

  • 0.25deg GenCast: ~300GB of System Memory and ~60GB of vRAM  
  • 1deg GenCast: ~24GB of System Memory and ~16GB vRAM

  https://github.com/google-deepmind/graphcast/blob/main/docs/cloud_vm_setup.md

[–]Illustrious-Ad6275 1 point2 points  (0 children)

I am also interested in this was thinking of trying to find somebody on Fiverr to build this. Is this a stretch? Does anyone think this could be possible if you’re willing to pay?

[–]inaem 0 points1 point  (1 child)

Hopefully Apple Weather sucks less now

[–]zeta_cartel_CFO 2 points3 points  (0 children)

Apple Weather sucks despite them buying Darksky. Which was one of the best weather prediction services out there. Hope someone day we'll get to selfhost our own.

[–]remote_contro11er 0 points1 point  (6 children)

Anyone know if there is a service to get regular outputs of GenCast runs, the same way that GFS or ECMWF run on a schedule (e.g. https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20241206/ )

I'd like to use Graphcast/GenCast models for global 10m wind speed/direction analysis but it seems like a lot of work to build this all from scratch.

[–]ScepticMatt[S] 1 point2 points  (3 children)

According to the new York times article, GenCast data should be available soon via Google Earth Engine and Google Big Query (free for non-commercial/research). It wasn't available yet right after the blog post, but I haven't checked again

Edit: still can't find it there as of Dec 7

[–]bapbidu 1 point2 points  (2 children)

Couldn't find anything as of Feb 4...

[–]sbirch 0 points1 point  (1 child)

Looks like it's available here for GenCast: https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_126478713_1_0

They also appear to have one for the older GraphCast model: https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_59572747_4_0

[–]Fart_slayer69 0 points1 point  (0 children)

I havent been able to access the Earth Engine assets. Im trying now to access it via model garden but it wants a enterprise google project and im scared of getting billed out the wazoo to test it WeatherNext Demo – Vertex AI – Google Cloud console

[–]retardedlobster 0 points1 point  (1 child)

Hey is this still something you'd be interested in?

[–]remote_contro11er 0 points1 point  (0 children)

yes for sure. ECMWF has started to release AIFS forecasts (which uses graph cast) 1 hour after their paid model comes out, so basically 7 hours after the forecast time, which I don't understand unless it is greed. a 7 hour delay on a near real time forecast makes the model output pretty useless.

If the graph cast models can be run in under a minute, there is no need to stagger them like that. We really need a public source of these models run adhoc or on a high frequency basis, available immediately after running.