SnowLens
Transjurassienne

Transjurassienne

Climate resilience

FR · Jura

± 15 days

Snow outlook

How much longer will Transjurassienne have snow?

Historical snow depth averaged over a ±15-day window around each race date, combined with CMIP6 climate projections to 2050. Adjust the minimum threshold below to see how the danger profile changes.

Historical trend

-5.1cm

per decade (linear regression)

Last observed

18.4cm

±15d mean in 2026

Years with data

77

snow records

Transjurassienne — snow depth on race day0.51 cm/yr

±15-day mean around race day · OLS regression · CMIP6 (MPI-ESM1-2-XR) median projection

Observed (archive)Projection (CMIP6 median)Trend (-0.51 cm/yr)

Risk threshold

Minimum snow depth considered race-viable

5cm
0255075100 cm

58%

High risk

14 of 24 projected years are expected to have less than 5 cm on race day (CMIP6 median). First at-risk: 2028 · Last: 2050.

Projected at-risk years — CMIP6 median < 5 cm

YearMean (±15d)TrendReadings
20281.2 cm21.2 cm31
20321.9 cm19.1 cm31
20354.6 cm17.6 cm31
20362.4 cm17.1 cm31
20371.3 cm16.6 cm31
20382.7 cm16.1 cm31
20393.3 cm15.6 cm31
20403.1 cm15 cm31
20413.6 cm14.5 cm31
20430.4 cm13.5 cm31
20442.5 cm13 cm31
20480 cm10.9 cm31
20492.3 cm10.4 cm31
20504.9 cm9.9 cm31

How projections are built

01

ERA5-Land archive

Open-Meteo serves snow depth from ERA5-Land (ECMWF reanalysis, ~11 km, 1950–present). For each year, the mean is computed over the ±15-day window around the reference race date. ERA5-Land tends to overestimate snow depth at coarse resolution.

02

CMIP6 scenarios

Multiple runs of MPI-ESM1-2-XR under SSP2-4.5 and SSP5-8.5 pathways provide daily Tmin, Tmaxand precipitation projections from 2025 through 2100.

03

DDF snowpack model

A Degree-Day Factor model runs day-by-day on each CMIP6 run. Precipitation falls as snow when Tmean < t_seuil, and melts proportionally to degree-days above it. Snowpack age increases resistance to both melt and fresh accumulation. Parameters are calibrated against ERA5-Land.

04

Risk score

For each projected year, the DDF output is averaged over the ±15-day window. The danger score counts the share of future years whose mean falls below your chosen threshold.

DDF model — calibrated parameters

t_seuil1.0 °CTemperature threshold — precipitation falls as snow below, triggers melt above
ddf3.2 cm·°C⁻¹·d⁻¹Degree-Day Factor — cm of snowmelt per degree-day above t_seuil
swe_depth_factor0.30 cm/mmFresh snow density — 1 mm of solid precipitation ≈ 0.30 cm snow depth
rain_effect0.20Fraction of liquid precipitation that accelerates snowpack melt
aging_rate0.05 d⁻¹Hardening constant — resistance = 1 − e^(−0.05 × age_days)
melt_resistance_weight0.60Old, dense snowpack resists thermal melt by up to 60 %
accum_resistance_weight0.50Old snowpack compresses under fresh accumulation (up to 50 %)
rain_resistance_weight0.30Old snowpack resists rain-induced melt by up to 30 %

Parameters calibrated by minimizing RMSE against ERA5-Land observed snow depth. Calibration range: t_seuil ∈ [−1, 1] °C · ddf ∈ [2, 4] · swe_depth_factor ∈ [0.05, 1.0].