Skip to main content
. 2021 Apr;22:100215. doi: 10.1016/j.cliser.2021.100215

Table 1.

Synthesis of approaches used for recent regional or local scale climate change impact studies on ski tourism in Europe.

Reference Geographical domain Geographical resolution Representation of ski resorts Impact model Indicators Downscaling method Climate projections Statistical processing
Damm et al. (2017) 12 European countries (AT, CH, CZ, DE, ES, FI, FR, IT, SE, SI, SK, NO) NUTS-3 (3 simulation points per NUTS-3 at low, mean and high elevation, on flat terrain) Location of ski resorts accounted for in the calculation of NUTS-3 representative elevations. Hydrological model VIC (natural snow processes) Monthly mean snow water equivalents, Fraction of days per month with at least 120 mm SWE, Fraction of days per month with at least 4 mm SWE Use of E-OBS data for current conditions. No downscaling for future changes. 11 EURO-CORDEX pairs (2x RCP2.6, 5x RCP4.5, 4x RCP8.5) Median
Tranos and Davoudi (2014) 27 EU countries  + Switzerland, Norway, Iceland and Liechtenstein NUTS-3, one climate model grid point per NUTS-3 No representation of ski resorts Natural snow model in CCLM climate model Number of days with snow cover Direct use of regional climate output 1 CCLM model run (A1B, driving GCM not stated). Unknown.
Spandre et al. (2019a) FR (French Alps) Massifs (1000 km2), with elevation steps of 300 m, accounting for several slopes and aspects. Explicit representation of ski resorts’ topography and spatial organization in the model chain. Crocus-Resort, accounting for natural, grooming and snowmaking processes Resort-level reliability computed over Christmas and Winter seasons, based on the proportion of the ski resorts with at least 100 kg m-2 SWE. ADAMONT method, use of SAFRAN reanalysis as observation data set. 30 EURO-CORDEX pairs (4x RCP2.6, 13x RCP4.5, 13x RCP8.5) Multi-model mean/stdev and quantiles of annual values for selected time periods.
Spandre et al. (2019b) FR, ES, AD (French Alps and Pyrenees), Massifs (1000 km2), with elevation steps of 300 m, on flat terrain. Explicit representation of location and elevation range of ski resorts for the computation of the reliability categories. Crocus-Resort, accounting for natural, grooming and snowmaking processes Reliability elevation line based on number of days with at least 100 kg m−2 SWE (with and without snowmaking) ADAMONT method, use of SAFRAN reanalysis as observation data set. 30 EURO-CORDEX pairs (4x RCP2.6, 13x RCP4.5, 13x RCP8.5) Classification of ski resorts based on reliability categories, based on distribution of annual values, depending on time periods.
Steiger and Scott (2020) AT Simulations for 208 ski resorts in Austria, results reported for 7 provinces and full country. Explicit simulation for each ski area, using 100 m elevation bands and three aspects (north, south, west/east), and adjusting the snowmaking intensity based on comparison with observed opening/closure dates. SkiSim3, calibrated using observations in ski resorts. Snow depth above 30 cm for at least 100 days or snow depth continuously above 30 cm during the Christmas-New Years holiday period in 7 out of 10 seasons. Terrain indicator based on snow conditions at different time periods during the snow season. 56 weather stations (ZAMG) for baseline simulations; use of monthly temperature and precipitation changes from climate projections. 26 EURO-CORDEX pairs (13x RCP4.5, 13xRCP8.5) Ensemble means for various 30 years time periods in the future
Scott et al. (2019) NO Simulations for 110 ski resorts in Norway, results reported for 5 provinces. Explicit simulation for each ski area, using 100 m elevation bands and three aspects (north, south, west/east), and adjusting the snowmaking intensity based on comparison with observed opening/closure dates. SkiSim2 Snow depth above 30 cm for at least 100 days 41 weather stations for baseline simulations; change values from climate projections. 20 EURO-CORDEX pairs (10x RCP4.5, 10xRCP8.5) Ensemble average values for various 30 years time periods in the future