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Wintry Machine Learning Mauler 1/30-2/1

Didn’t bouncy corn state that while it says 10:1 google actually processes using dynamic ratios
It says 10:1, but I added a slightly dynamic ratio where very cold temps get 12:1.. but we're looking at ratios of 20:1 in some areas.

By the way, SLR is really complex and is far from an exact science!
 
On this release RAH bumped Raleigh to 9' of expected snow. 11am had it at 8" of expected snow
It's almost like they're doing more than living and dying by the latest NAM, HRRR, or GRAF. These folks went to school for a reason. Anyone can hug a model. Some mets don't help themselves by posting individual runs (for good or ill) on social media.
 
It's almost like they're doing more than living and dying by the latest NAM, HRRR, or GRAF. These folks went to school for a reason. Anyone can hug a model. Some mets don't help themselves by posting individual runs (for good or ill) on social media.

That does get lost a little bit. I saw the drying trend on the models but these folks do know our microclimate and model biases and a great forecaster doesn’t solely rely on model output
 
I’ll be curious to read the RAH afternoon discussion because I’m genuinely confused what they are seeing that we aren’t. That low end map is mind boggling to me
Meteorology v/s Modelology

Highest forecasted wind gust from Rah is 28 mph at GSO.
 
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