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@DeepGuessr

wx models @recast
deepguessr.com Joined March 2025
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Drew Verified account @DeepGuessr
The fun part of everything being CUDA + Rust is that model physics works one column at a time. Once a scheme is a GPU kernel, it doesn't care which model it's plugged into. So you'll be able to run a WOOF-NAM config with WRF physics for example.
Ryan Maue Verified account @RyanWeather 4h
Using Recast WOOF GPU enabled WRF
I took the ECMWF IFS 00z forecast for Day 3-7 and generated output using RAP physics (similar to HRRR) at 9-km. This finished in 40 mins on RTX 5090 w/total cost of 50 cents. Can't say enough about how game-changing this is -- as it opens up mesoscale modeling anywhere on Earth for literally pennies a day. WRF, MPAS, or whatever model can be ported and executed on commodity hardware on-demand. You get the output delivered in whatever format (GRIB2, Zarr) so it can be cloud-ready from the jump even as the model is still running. Thank you to @recast and @DeepGuessr
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Drew Verified account @DeepGuessr
Turns out people really do love the NAM despite its flaws. We @recast have decided to continue to offer our WOOF-NAM 12km for free indefinitely (link below).

It’s also important to understand that we are cold starting from GFS Analysis which naturally does slightly change model outcomes compared to starting from a native NAM analysis.

Because of that, we will be running quite a few hindcasts of both popular and requested dates and model inits so people can compare. If anyone has any examples they’d like to see, I’ll run them and put it on the site.

woof-nam.recastsystems.com/index.html
Drew Verified account @DeepGuessr 5d
NOAA retired the NAM this week. We ported it to the GPU and it's back, better than ever: WOOF-NAM, open source.

- 12 km CONUS, all NAM physics, 24 h forecast in ~20 min on a single RTX 5090 (32 GB).
- 8 GPUs: 6 h in 92 s. Multi-card is bitwise to single card.
- 4 km CONUS, 24 h in under 9 min on 8 GPUs. 3 km nests anywhere on Earth (Europe, Japan, CONUS): 48 h in ~7 min on one card.

SStarts from the NAM analysis or GFS today, IFS open data in the next release. Beside the operational NAM from the same cycle it's hard to tell them apart (pics).

Today it needs one 32 GB card for the full 12 km CONUS; ~15 GB is the target, coming soon.

github.com/recastsystems/…
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Drew Verified account @DeepGuessr
You asked, we listened!
Recast Systems Verified account @recast 5d
NOAA retired the NAM last week. We thought it deserved to live on, so we ported it to the GPU and open-sourced it.

We’re running the 12 km CONUS NAM ourselves, four times a day (00/06/12/18Z, 84 h, started from GFS), with the hourly files free for anyone: same awphys GRIB2 shape as NOAA’s, so an old NAM fetcher just needs a new host.

woof-nam.recastsystems.com/index.html

The 12 km shape is in the WOOF API today, 5 km and 4 km CONUS this week, so you can run your own cycles any time from GFS or IFS.
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Drew Verified account @DeepGuessr
NOAA retired the NAM this week. We ported it to the GPU and it's back, better than ever: WOOF-NAM, open source.

- 12 km CONUS, all NAM physics, 24 h forecast in ~20 min on a single RTX 5090 (32 GB).
- 8 GPUs: 6 h in 92 s. Multi-card is bitwise to single card.
- 4 km CONUS, 24 h in under 9 min on 8 GPUs. 3 km nests anywhere on Earth (Europe, Japan, CONUS): 48 h in ~7 min on one card.

SStarts from the NAM analysis or GFS today, IFS open data in the next release. Beside the operational NAM from the same cycle it's hard to tell them apart (pics).

Today it needs one 32 GB card for the full 12 km CONUS; ~15 GB is the target, coming soon.

github.com/recastsystems/…
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