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Verified blend accuracy

Does blending weather models beat the best one?

Measured against observed snowfall, SnowSure's blended forecast has 5.3% lower error than NAM — the single most accurate weather model — across 48,120 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
Overall5.6 cmNAM5.49 cm-2%n = 129,266 · as of 2026-10-25
1–3 days out5.2 cmNAM5.49 cm+5.3%n = 48,120 · as of 2026-10-25
4–7 days out5.68 cmNBM5.23 cm-8.6%n = 63,983 · as of 2026-10-25
8–14 days out6.38 cmNBM3.01 cm-112%n = 17,195 · as of 2026-10-25

Lower MAE = closer to observed snowfall. Improvement = how much lower the blend's error is than the best single model. Updated 2026-10-30.

Every model, ranked by error

ModelMAE (cm)Samples
METNO4.112
NAM5.492,101
ECMWF5.668,475
UKMO5.7227,032
JMA5.7747,520
Météo-France5.8647,519
ICON5.8847,520
HRRR5.9766
GEM6.0647,519
NBM6.222,402
GFS6.2747,522
METEOSWISS7.226,040
ICON2I7.333,811

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