Alpe d'Huez Snow Forecast — Isere, France

Alpe d'Huez (Isere, France) expects 0.0 cm of snow in the next 72 hours and 0.0 cm over the next 7 days. Current snow depth at the summit (3330 m): 1 cm. Forecast confidence: 95%. Updated 2026-06-13T12:01:16.204Z UTC from a weighted consensus of 4 weather models (GFS, ECMWF, ICON, GEM).

16-day weighted-consensus forecast for Alpe d'Huez
DateSnowfall (cm)Min/Max °CConditions
Sat 13 Jun0.04° / 15.3°Slushy
Sun 14 Jun0.04° / 13.1°Slushy
Mon 15 Jun0.04.2° / 13.8°Slushy
Tue 16 Jun0.04.8° / 14.6°Slushy
Wed 17 Jun0.07° / 16.2°Slushy
Thu 18 Jun0.08° / 16.4°Slushy
Fri 19 Jun0.07.4° / 16.2°Slushy
Sat 20 Jun0.06.9° / 17.8°Slushy
Sun 21 Jun0.07.2° / 19.6°Slushy
Mon 22 Jun0.08.3° / 20.4°Slushy
Tue 23 Jun0.08° / 17.8°Slushy
Wed 24 Jun0.05.5° / 17.2°Slushy
Thu 25 Jun0.05.7° / 17.3°Slushy
Fri 26 Jun0.06.3° / 15.5°Slushy
Sat 27 Jun0.05.3° / 18.9°Slushy
Sun 28 Jun0.08.5° / 18.8°Slushy

7-day totals per model: GFS 0.0 cm · ECMWF 0.0 cm · ICON 0.0 cm · GEM 0.0 cm — regional weights for Europe: GFS ×0.85 · ECMWF ×1.25 · ICON ×1.35 · GEM ×0.75

FAQ

How much snow will fall at Alpe d'Huez this week?
0.0 cm of snowfall is forecast at Alpe d'Huez between 2026-06-13 and 2026-06-19, based on a weighted consensus of the GFS, ECMWF, ICON and GEM weather models.

What is the current snow depth at Alpe d'Huez?
The latest reported snow depth at Alpe d'Huez (summit 3330 m) is 1 cm, updated 2026-06-13T12:01:16.204Z UTC.

How reliable is this forecast?
Confidence is 95% (high), based on agreement between 4 independent weather models (GFS, ECMWF, ICON, GEM) blended with Europe regional weights. Days 1-7 are the most reliable; days 8-16 indicate the trend.

More in France: Les Deux Alpes · Chamonix Mont-Blanc · Val d'Isere · Courchevel · Meribel · Tignes · Best powder this week · All 188 resorts

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Cross-referenced from 4 models: GFS, ECMWF, ICON & GEM

Regional model weighting

The forecast you see is a weighted consensus of 4 weather models, and the weights change by region — because each model is demonstrably stronger in certain mountains. ICON (DWD, Germany) gets the highest weight in the Alps and Europe; GEM (Canadian Meteorological Centre) is boosted across North America; GFS (NOAA) gets a home-turf bonus in the USA; and ECMWF carries the strongest global baseline weight everywhere. Example — Europe: ICON ×1.35, ECMWF ×1.25, GFS ×0.85, GEM ×0.75.

How we calculate Snow Softness %

Each day gets a softness score (higher = softer, better for skiing). We calculate hardpack risk internally, then invert it: Softness = 100 - Hardpack Risk.

Confidence % is calculated day-by-day across all 4 models, weighted by snow volume and by each model's regional skill. Days with more predicted snow have more impact on the confidence score, and disagreement from a model that is weak in that region hurts confidence less. Models agreeing on a 20cm powder day matters more than agreeing on a 0cm dry day.

0. Snow base check — If accumulated snow on the ground is <3cm, softness drops to 5% (nothing to ski on). Below 10cm base, stays around 10-25%.

1. Fresh snow × temperature — Fresh snow boosts softness, but only if it's cold enough to stay fluffy. At <-2°C you get the full softness bonus. At 0-3°C only 40% counts (wet/heavy snow). Above 6°C it melts on contact — zero softness benefit.

2. Freeze-thaw cycles — When the temperature crosses 0°C (above during day, below at night), the surface melts and refreezes into a hard crust. The wider the swing (e.g. +4° to -3°), the harder the surface.

3. Days since last snowfall × temperature — Dry days only cause hardpack if there's melt-refreeze happening. With freeze-thaw: +7% per dry day. Near 0°C but constant: +3%. Deep cold (<-3°C constant): only +1% — cold preserves snow texture, it's the thawing that compacts.

4. Snowmaking vs temperature — Snowmaking is context-dependent: on cold dry days (<0°C), cannons add snow volume and keep surfaces fresher (up to -8% hardpack). But when temps rise above 0°C, artificial snow is denser than natural and compacts into hardpack much faster (up to +18%). The worst combo is freeze-thaw + heavy snowmaking — gets an extra penalty.

5. Extreme cold — Very cold temps (<-8°C) without fresh snow create an icy surface crust, adding +10%. Very warm temps (>6°C) create slushy conditions instead of hardpack.

Reading the score: 75%+ Soft/Powder — 55-74% Good softness — 35-54% Firming up — <35% Hard/Icy

Frequently Asked Questions

Each forecast is a weighted consensus of 4 weather models: GFS (NOAA), ECMWF, ICON (DWD) and GEM (CMC). The weights are regional — ICON is strongest in the Alps, GEM is boosted in North America, and ECMWF provides the best global baseline. The 7-day window is the most reliable; accuracy decreases at longer ranges.
Global Ski Forecast covers 188 ski resorts in 38 countries on 6 continents, including Whistler Blackcomb, Zermatt, Chamonix, Niseko, Vail, St. Anton am Arlberg, Valle Nevado and Perisher.
Our server cache is refreshed every 3 hours from Open-Meteo, so every visit is served fresh data instantly. The underlying weather models themselves update every 6 to 12 hours.
Confidence measures day-by-day agreement between the 4 weather models, weighted by snow volume and by each model's regional skill. High confidence means the models predict similar snowfall on the same days; disagreement from a model that is weak in that region lowers confidence less.
Each model's vote is scaled by its documented skill in that region. In Europe, for example, the weights are ICON ×1.35, ECMWF ×1.25, GFS ×0.85 and GEM ×0.75, so forecasts in the Alps lean on ICON while North America leans on GEM.
The live ranking of the snowiest resorts for the next 7 days is at /best-powder, recalculated every 3 hours from the latest model runs.
Yes — no API key required. /api/resorts lists all 188 resorts, /api/forecast/{slug} returns the full multi-model forecast for one resort, and /api/top-powder ranks upcoming snowfall. The OpenAPI spec is at /openapi.json and plain-text docs are at /llms.txt.
Yes. A remote MCP server at https://globalskiforecast.com/mcp exposes three tools — list_resorts, get_snow_forecast and find_best_powder — and /llms.txt provides documentation written for language models.
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