Snow report for Bisanne 1500 today
At Bisanne 1500, over 19 measured winters at the COL-DES-SAISIES weather station, snow lies at 30 cm or more for 121 days a winter.
Bisanne 1500 is a ski resort in the Northern Alps (Savoie), in the commune of Villard-sur-Doron. The village sits at 1,500 m and the ski area rises to 1,930 m, a skiable vertical of 424 m.
Today’s snow report
Open pistes and lifts will appear here during the season, as published by the resort. Out of season we show nothing rather than a misleading zero.
Off season, Bisanne 1500 does not publish a snow report. This page fills up automatically every day through the winter, with the source and time of each reading.
Average snow depth by month
Good snow from December to March: a long, reliable season.
☀️ Average daily sunshine : Nov 6.3 h · Dec 5.5 h · Jan 5.8 h · Feb 7.1 h · Mar 8.2 h · Apr 10 h — 25 bright days in April (Open-Meteo estimate, 2015-2025).
- November—no record
- December69 cmGood skiing · 94%
- January92 cmGood skiing · 97%
- February106 cmGood skiing · 100%
- March118 cmGood skiing · 100%
- 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
19 complete winters measured, from 1996-1997 to 2025-2026 — on average 121 days a winter with at least 30 cm on the ground.
- 1-15 Dec43 cmVariable · 53 %
- 16-31 Dec59 cmVariable · 78 %
- 1-15 Jan76 cmGood skiing · 89 %
- 16-31 Jan100 cmGood skiing · 100 %
- 1-15 Feb115 cmGood skiing · 100 %
- 16-29 Feb120 cmGood skiing · 100 %
- 1-15 Mar122 cmGood skiing · 100 %
- 16-31 Mar108 cmGood skiing · 97 %
- 1-15 Apr79 cmGood skiing · 85 %
- Best winter of the series
- 2019-2020 — 137 days at 30 cm or more
- Worst winter of the series
- 2016-2017 — 85 days at 30 cm or more
Snowfall: no long enough record of fresh snow at this station. Rather than an estimate, we show nothing.