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Verified blend accuracy

Does blending weather models beat the best one?

Measured against observed snowfall, SnowSure's blended forecast has 5.9% lower error than NAM — the single most accurate weather model — across 47,496 verified forecasts.

Ground truth: measured (SNOTEL + resort-reported), snow days only. Machine-readable: /api/v1/blend-accuracy.

Forecast Trust — Verified, not guessed — corpus scale, blend vs best model, and the full record.

Blend vs best single model, by horizon

HorizonBlend MAEBest modelBest-model MAEImprovementSamples
Overall5.66 cmNAM5.55 cm-2%n = 126,597 · as of 2026-10-18
1–3 days out5.22 cmNAM5.55 cm+5.9%n = 47,496 · as of 2026-10-18
4–7 days out5.74 cmNBM5.26 cm-9.1%n = 63,170 · as of 2026-10-18
8–14 days out6.68 cmNBM4.44 cm-50.5%n = 15,931 · as of 2026-10-18

Lower MAE = closer to observed snowfall. Improvement = how much lower the blend's error is than the best single model. Updated 2026-10-19.

Every model, ranked by error

ModelMAE (cm)Samples
METNO4.112
NAM5.552,072
ECMWF5.617,844
UKMO5.7426,388
JMA5.846,895
Météo-France5.8946,894
ICON5.9246,895
GEM6.0846,894
NBM6.2222,341
HRRR6.2325
GFS6.2846,897
METEOSWISS7.15,514
ICON2I7.283,453

See also: most accurate model by region · Forecast Trust.