Hayden retweeted
Remember that NAM memorial? About that… 📷
WOOF-NAM is now FREE in WeatherWise.
It’s a 12 km version of the NAM that starts from GFS analysis and runs on GPUs, so its forecasts can differ from the original NAM.
Open WeatherWise → Models → WOOF-NAM to check it out. No Pro subscription needed.
Huge thanks to @recast for making the model data available!
Hayden retweeted
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/i…
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.
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/woo…
Drews one smart cookie, follow him for things like this and RUST shenanigans
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/woo…
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Hayden retweeted
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/woo…
Hayden retweeted
Honestly as a center republican I’m grateful the democrats will take control of the house and senate. The far extreme right wingers think they love the country but in reality they don’t… all they care about is themselves and the republicans deserve to lose the house and senate.
I'm having to do a poster about you in class. This tweet is utter embarrassment.
Have politicians become too comfortable with becoming unprofessional?
Some costumes come with a price tag. This one comes with a prison sentence.
To anyone stealing from American taxpayers:
The tricks are over. The treats are running out.
Happy Halloween! 🎃
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Hayden retweeted
MRRL now has Australian Weather Radars available on our Free Level 2 feed!
Setup Guides and Support is available on our Discord server: discord.mobileradar.net
The little weather app that could-NUXRAD
This app I have been following from the start. With features from the pros that cost money, everything this app has to offer is for FREE.
Props to Noah and Steven for creating something everyone can enjoy.
Try it at NUXRAD.com
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Tim did have a point at the time, and it still stands to this day for good reason.
There are definitely better ways to disseminate the structure of a storm through remote sensing or keeping distance through independent instrumentation rather than driving into the danger itself.
“My personal opinion is that I really don't see any real reason to be driving into tornadoes”
- Tim Samaras, September 21, 2010 interviewed by tflcar.com
youtu.be/uClZBZQVRIM?si=IJUS…
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