Snow report for Praz de Lys - Sommand today
At Praz de Lys - Sommand, over 10 measured winters at the FLAINE_SAPC weather station, snow lies at 30 cm or more for 115 days a winter.
Praz de Lys - Sommand is a ski resort in the Northern Alps (Haute-Savoie), in the commune of Taninges. The village sits at 1,462 m and the ski area rises to 1,678 m, a skiable vertical of 248 m.
Today’s snow report
The domain is due to open on 19 December 2026 and close on 4 April 2027. Open pistes and lifts will appear here as soon as the resort publishes its daily report.
Praz de Lys - Sommand opens on 19 December 2026. The daily report (snow depths, open pistes and lifts) will appear here from opening day.
Average snow depth by month
Good snow from December to March: a long, reliable season.
☀️ Average daily sunshine : Nov 6.2 h · Dec 5.5 h · Jan 5.8 h · Feb 7.2 h · Mar 8.6 h · Apr 10.3 h — 26 bright days in April (Open-Meteo estimate, 2015-2025).
- November—no record
- December56 cmGood skiing · 80%
- January70 cmGood skiing · 94%
- February82 cmGood skiing · 93%
- March92 cmGood skiing · 85%
- April—no record
- May—no record
30 cm on the ground: the benchmark for groomed-piste skiing. Bar = monthly average depth; percentage = share of time above 30 cm.
- Good skiing: 30 cm on more than 8 days in 10
- Variable: 30 cm on 5 to 8 days in 10
- Insufficient: 30 cm less than one day in two
Snow actually measured, winter by winter
10 complete winters measured, from 2016-2017 to 2025-2026 — on average 115 days a winter with at least 30 cm on the ground.
- 1-15 Dec35 cmVariable · 58 %
- 16-31 Dec50 cmVariable · 72 %
- 1-15 Jan61 cmVariable · 77 %
- 16-31 Jan87 cmGood skiing · 100 %
- 1-15 Feb97 cmGood skiing · 100 %
- 16-29 Feb98 cmGood skiing · 97 %
- 1-15 Mar101 cmGood skiing · 94 %
- 16-31 Mar91 cmGood skiing · 96 %
- 1-15 Apr65 cmVariable · 71 %
- Best winter of the series
- 2021-2022 — 136 days at 30 cm or more
- Worst winter of the series
- 2022-2023 — 70 days at 30 cm or more
Snowfall: no long enough record of fresh snow at this station. Rather than an estimate, we show nothing.