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Resort dossier
Grindelwald-Wengen
Weeks 4–7
Typically -10.6°C · 39cm fresh / week · powder day 58% · mixed 34%
Top elev.
2970m
Base elev.
944m
Pistes
211km
Lifts
40
Piste mix88km mapped
Blue40%
Red44%
Black13%
Freeride2%
COMPOSITE SCORE
71
Snow90
Typically 129cm
Typical depth129cm
96cm158cm
Travel58
From your origin
Size84
Linked-area piste-km
Fit50
Vibe, terrain, activities
What to expect
What to expect in weeks 4–7
Based on 40 winters of weather data, modelled at ~1593m (not the village). Any single year can be very different.
Typically stormy, around -10.6°C, with 39cm of fresh snow over the week. Powder days hit 58% of the time. Other weeks run mixed.
Icy mornings
0.8 days/week
spring-like in 9% of years
Snow texture
Settled
packed, predictable piste
Typical wind
15.1 m/s
peaks to 30 m/s
Typical Freezing level
330 m
0°C isotherm
Powder days
58%
of years see 10cm+
Rain at base
0 days
per week
Storm
49%
of years
Bluebird
17%
of years
Thaw
0%
of years
Mixed
34%
of years
Climatology
What a season here looks like
Each track shows the typical range across 40 winters. The marker shows where your selected weeks sit.
Reliability60cm+
100%
Depth
129cm
Temperature
-10.6°C
Fresh snow
39cm
Snow line
331m
Wind
15.1 m/s
Transfers
Transfers
| Airport | Drive | Train |
|---|---|---|
| Bern (BRN) | 75 min | 90 min |
| Zürich (ZRH) | 130 min | 175 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.
- 01ERA5-Land hourly grid → daily SWE & snow depth at the resort cell.
- 02Bias-correct against ground stations (SLF / Météo-France nivôse).
- 03Build per-week climatological percentile · 35 winters.
- 04Anomaly = current week vs. cell's own 30-year baseline.
- 05Snow-sure read at the highest-snow cell within ~15km. When most resorts are bare, ranking shifts toward this, surfacing glaciers in shoulder seasons.
- 06Weight + rank against your origin & vibe profile.
Sources
Snow data sources
Ground stations the score is based on.
- FIR2slf
- MAE2slf