Pan-European meteorological and snow indicators of climate change impact on ski tourism

•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 projec...

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Veröffentlicht in:Climate services 2021-04, Vol.22, p.100215-100215, Article 100215
Hauptverfasser: Morin, Samuel, Samacoïts, Raphaëlle, François, Hugues, Carmagnola, Carlo M., Abegg, Bruno, Demiroglu, O. Cenk, Pons, Marc, Soubeyroux, Jean-Michel, Lafaysse, Matthieu, Franklin, Sam, Griffiths, Guy, Kite, Debbie, Hoppler, Anna Amacher, George, Emmanuelle, Buontempo, Carlo, Almond, Samuel, Dubois, Ghislain, Cauchy, Adeline
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Sprache:eng
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Zusammenfassung:•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. Ski tourism plays a major socio-economic role in the snowy and mountainous areas of Europe such as the Alps, the Pyrenees, Nordic Europe, Eastern Europe, Anatolia, etc. Past and future climate change has an impact on the operating conditions of ski resorts, due to their reliance on natural snowfall and favorable conditions for snowmaking. However, there is currently a lack of assessment of past and future operating conditions of ski resorts at the pan-European scale in the context of climate change. The presented work aims at filling this gap, as part of the ”European Tourism” Sectoral Information System (SIS) of the Copernicus Climate Change Services (C3S). The Mountain Tourism Meteorological and Snow Indicators (MTMSI) were co-designed with representatives of the ski tourism industry, including consulting companies. They were derived from statistically adjusted EURO-CORDEX climate projections (multiple GCM/RCM pairs for RCP2.6, RCP4.5 and RCP8.5) using the UERRA 5.5 km resolution surface reanalysis as a reference, used as input to the snow cover model Crocus, with and without accounting for snow management (grooming, snowmaking). Results are generated for 100 m elevation bands for NUTS-3 geographical areas spanning all areas relevant to ski tourism in Europe. This article introduces the underpinning elements for the generation of this product, and illustrates results at the pan-European scale as well as for smaller scale case studies. A dedicated visualization app allows for easy navigation into the multiple dimensions of this dataset, thereby fulfilling the needs of a broad range of users.
ISSN:2405-8807
2405-8807
DOI:10.1016/j.cliser.2021.100215