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Verified blend accuracy

Does blending weather models beat the best one?

Measured against observed snowfall, SnowSure's blended forecast has -233.6% lower error than METNO — the single most accurate weather model — across 47,552 verified forecasts.

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

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

Blend vs best single model, by horizon

HorizonBlend MAEBest modelBest-model MAEImprovementSamples
Overall5.47 cmMETNO1.5 cm-264.6%n = 126,732 · as of 2026-09-13
1–3 days out5 cmMETNO1.5 cm-233.6%n = 47,552 · as of 2026-09-13
4–7 days out5.6 cmJMA5.92 cm+5.5%n = 63,338 · as of 2026-09-13
8–14 days out6.35 cmECMWF6.59 cm+3.6%n = 15,849 · as of 2026-09-13

Lower MAE = closer to observed snowfall. Improvement = how much lower the blend's error is than the best single model. Updated 2026-09-14.

Every model, ranked by error

ModelMAE (cm)Samples
METNO1.53
ECMWF5.417,821
JMA5.5147,550
ICON5.6547,550
Météo-France5.747,549
GEM5.9147,549
GFS6.0447,552

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