2021
DOI: 10.1016/j.cliser.2021.100215
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Pan-European meteorological and snow indicators of climate change impact on ski tourism

Abstract: Highlights Provision of pan-European climate change impact indicators for ski tourism. The indicators account for natural snow cover processes, grooming and snowmaking. The indicators are provided for NUTS-3 areas by elevation steps of 100 m. The indicators combine reanalysis and regional climate model projections (1950–2100). The indicators are available freely through the Copernicus C3S Climate Data Store.

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Cited by 48 publications
(39 citation statements)
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“…Potential usages of the downscaled information include hydrological studies or glacier modelling studies that require snow line information. They might help in determining winter sport reliability, even though future assessments that do not account for technical snow are most likely not very useful (Spandre et al, 2019;Morin et al, 2021). Finally, downscaling approaches should be kept in mind considering the new generation of soon to be available highresolution (at or below 2 km) RCMs, for example, from CORDEX flagship pilot studies, together with long-term remote sensing observations at tens of meters scale, such as harmonized Landsat Sentinel series.…”
Section: Discussionmentioning
confidence: 99%
“…Potential usages of the downscaled information include hydrological studies or glacier modelling studies that require snow line information. They might help in determining winter sport reliability, even though future assessments that do not account for technical snow are most likely not very useful (Spandre et al, 2019;Morin et al, 2021). Finally, downscaling approaches should be kept in mind considering the new generation of soon to be available highresolution (at or below 2 km) RCMs, for example, from CORDEX flagship pilot studies, together with long-term remote sensing observations at tens of meters scale, such as harmonized Landsat Sentinel series.…”
Section: Discussionmentioning
confidence: 99%
“…The hourly resolution SAFRAN meteorological conditions are used as input to the detailed, multilayer snow cover model Crocus, resolving natural processes occurring in the snow cover and at its interfaces with the underlying ground and overlying atmosphere (Vionnet et al, 2012). In its Resort version (Spandre et al, 2016), the Crocus model is also equipped with dedicated options for representing snow grooming and snowmaking, in terms of both their physical characteristics and their typical management operation timing and snowmaking production rate (Spandre et al, 2016(Spandre et al, , 2019Hanzer et al, 2020;Morin et al, 2021). Crocus model runs were carried out for each relevant SAFRAN massif and all elevations, not only on flat terrain but also for eight main orientations (N, NE, E, SE, S, SW, W, NW) and slope angles of 10, 20, 30 and 40 • .…”
Section: Safran-crocus Model Chain Ski Resorts Geospatial Modelling A...mentioning
confidence: 99%
“…What matters most for ski resorts is not the mean multi-annual snow reliability or other metrics characterizing their multi-annual average conditions but rather how frequently challenging operating conditions are encountered. Indeed, snow-scarce winters, primarily related to the interannual variability in meteorological and snow conditions and influenced by long-term climate trends, are a key concern for the ski tourism industry (Abegg et al, 2021;Morin et al, 2021). We therefore focus on the characteristics of challenging winter seasons and whether their frequency has changed in time.…”
Section: Statistical Analysis Of Snow Reliability Indicatorsmentioning
confidence: 99%
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“…In the face of the tourism industry's high vulnerability and low resilience, the tourism industry and the overall economy of different countries are far more vulnerable to climate change than their resistance to climate change [12]. In some research literature examining the impact of climate variables on the tourism industry [13][14][15][16][17], the most commonly used climate proxy variables are meteorological variables such as average temperature, rainfall, relative humidity, and wind speed. However, most of these variables are highly correlated [18].…”
Section: The Impact Of Enso On Natural Tourismmentioning
confidence: 99%