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Resort dossier

Risoul

Weeks 7–10

Typically -6.9°C · 18cm fresh / week · powder day 47% · mixed 49%

Top elev.
2750m
Base elev.
1850m
Pistes
185km
Lifts
51
Piste mix130km mapped
Green16%
Blue50%
Red27%
Black5%
Double-black1%
Freeride1%
COMPOSITE SCORE
57
Snow84
Typically 115cm
Typical depth115cm
86cm146cm
Travel0
From your origin
Size82
Piste km, discounted for linked-area connectivity
Fit50
Vibe, terrain, activities
What to expect

What to expect in weeks 7–10

Based on 25 winters of weather data, modelled at ~1789m (not the village). Any single year can be very different.

Typically mixed, around -6.9°C, with 18cm of fresh snow over the week. Powder days hit 47% of the time. Other weeks run stormy or cold and clear.

Icy mornings
3.5 days/week
spring-like in 51% of years
Snow texture
Settled
packed, predictable piste
Typical wind
4.5 m/s
peaks to 22 m/s
Typical Freezing level
1232 m
0°C isotherm
Powder days
47%
of years see 10cm+
Rain at base
0 days
per week
Storm
31%
of years
Bluebird
20%
of years
Thaw
0%
of years
Mixed
49%
of years
Climatology

What a season here looks like

Each track shows the typical range across 25 winters. The marker shows where your selected weeks sit.

Reliability60cm+
98%
Depth
115cm
Temperature
-6.9°C
Fresh snow
18cm
Snow line
1232m
Wind
4.5 m/s

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Transfers

Transfers

AirportDriveTrain
Chambéry (CMF)190 min
Grenoble (GNB)198 min
Geneva (GVA)258 min
Lyon (LYS)224 min
Method & sources

The composite score weights snow reliability against the historical baseline, pulls in live conditions where available, then adjusts for how much hassle the trip actually is for your group.

  1. 01ERA5-Land hourly grid → daily SWE & snow depth at the resort cell.
  2. 02Bias-correct against ground stations (SLF / Météo-France nivôse).
  3. 03Build per-week climatological percentile · 35 winters.
  4. 04Anomaly = current week vs. cell's own 30-year baseline.
  5. 05Snow-sure read at the highest-snow cell within ~15km. When most resorts are bare, ranking shifts toward this, surfacing glaciers in shoulder seasons.
  6. 06Weight + rank against your origin & vibe profile.
Sources

Snow data sources

Ground stations the score is based on.

  • RISOUL_NIVOmeteofrance
  • VARS_NIVOmeteofrance