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The Allsnow Blizzard of 2026


Rjay
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1 minute ago, steve392 said:

Will be heading to stores earlier then I wanted.  

if you want to avoid the crowds sure, but it should be ok to drive until the afternoon, it starts early but it cranks up in the afternoon/evening

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31 minutes ago, MANDA said:

The January event ticked upwards right up until the event was underway.  Went into it thinking about 1” or a little more of liquid and ended up with 1.5”.

Totally different setup between this and that of course but it got wetter right up until the event.  

There’s a lot of people that don’t understand how different this storm will be as modeled when compared to other coastal storms that provided a lot of snow to the area.  I am telling family out on LI to think of this as a hurricane that brings snow.  The modeled intensity speaks for itself.  I also introduced them to a new word for their vocabulary- Bombogenesis.  The map below with the expected winds off the latest HRRR run speaks for itself.  And yes it does have an eye.

 

IMG_2138.jpeg

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2/22 00z Summary

Total QPF NYC
/
Total 10:1 Snow

 

 

SREF mean: 2.2 /  21
NAM: 2.8 / 27.5
NAM 3k: 2.0 / 19.5
ICON: 1.4 / 13.5
RGEM: 1.3 / 13.3
GFS: 1.6 / 16.7
GFS AI AIGFS: 1.4 / 13.6
GGEM: 1.5 / 13.8
GEFS: 1.7 / 17
UKMET: 1.2 / 11

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4 minutes ago, Tatamy said:

There’s a lot of people that don’t understand how different this storm will be as modeled when compared to other coastal storms that provided a lot of snow to the area.  I am telling family out on LI to think of this as a hurricane that brings snow.  The modeled intensity speaks for itself.  I also introduced them to a new word for their vocabulary- Bombogenesis.  The map below with the expected winds off the latest HRRR run speaks for itself.  And yes it does have an eye.

 

IMG_2138.jpeg

I agree this is like a hurricane CAT 2 with snow

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What it is: The National Blend of Models (NBM) is NOAA/NWS’s statistically post-processed blend that combines dozens of deterministic and ensemble models into a single, calibrated forecast grid used operationally across the U.S.

Models included: Core inputs typically include GFS, GEFS, ECMWF (Euro), ECMWF ensembles, NAM (12 km & 3 km), HRRR, RAP, CMC/GEM, UKMET, and select regional ensembles (availability varies by cycle and variable).

Weighting approach: Dynamic, variable-specific weighting is applied—models are weighted differently by forecast hour, parameter (QPF, snow, wind, temp), season, region, and recent skill, rather than a fixed average.

Post-processing & bias correction: Raw model output is statistically bias-corrected, smoothed, and calibrated using historical verification, climatology, and consistency checks to reduce noise, outliers, and known model biases.

Operational output: Produces probabilistic and deterministic fields (means, percentiles, PoPs, snowfall ranges) and serves as the baseline guidance for NWS forecast grids, with human forecasters adjusting for mesoscale and event-specific factors.

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