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Climate controls on snow reliability in French Alps ski resorts

Ski tourism is a major sector of mountain regions economy, which is under the threat of long-term climate change. Snow management, and in particular grooming and artificial snowmaking, has become a routine component of ski resort operations, holding potential for counteracting the detrimental effect...

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Detalles Bibliográficos
Autores principales: Spandre, P., François, H., Verfaillie, D., Lafaysse, M., Déqué, M., Eckert, N., George, E., Morin, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6541717/
https://www.ncbi.nlm.nih.gov/pubmed/31142772
http://dx.doi.org/10.1038/s41598-019-44068-8
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author Spandre, P.
François, H.
Verfaillie, D.
Lafaysse, M.
Déqué, M.
Eckert, N.
George, E.
Morin, S.
author_facet Spandre, P.
François, H.
Verfaillie, D.
Lafaysse, M.
Déqué, M.
Eckert, N.
George, E.
Morin, S.
author_sort Spandre, P.
collection PubMed
description Ski tourism is a major sector of mountain regions economy, which is under the threat of long-term climate change. Snow management, and in particular grooming and artificial snowmaking, has become a routine component of ski resort operations, holding potential for counteracting the detrimental effect of natural snow decline. However, conventional snowmaking can only operate under specific meteorological conditions. Whether snowmaking is a relevant adaptation measure under future climate change is a widely debated issue in mountainous regions, with major implications on the supply side of this tourism industry. This often lacks comprehensive scientific studies for informing public and private decisions in this sector. Here we show how climate change influences the operating conditions of one of the main ski tourism markets worldwide, the French Alps. Our study addresses snow reliability in 129 ski resorts in the French Alps in the 21st century, using a dedicated snowpack model explicitly accounting for grooming and snowmaking driven by a large ensemble of adjusted and downscaled regional climate projections, and using a geospatial model of ski resorts organization. A 45% snowmaking fractional coverage, representative of the infrastructures in the early 2020s, is projected to improve snow reliability over grooming-only snow conditions, both during the reference period 1986–2005 and below 2 °C global warming since pre-industrial. Beyond 3 °C of global warming, with 45% snowmaking coverage, snow conditions would become frequently unreliable and induce higher water requirements.
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spelling pubmed-65417172019-06-07 Climate controls on snow reliability in French Alps ski resorts Spandre, P. François, H. Verfaillie, D. Lafaysse, M. Déqué, M. Eckert, N. George, E. Morin, S. Sci Rep Article Ski tourism is a major sector of mountain regions economy, which is under the threat of long-term climate change. Snow management, and in particular grooming and artificial snowmaking, has become a routine component of ski resort operations, holding potential for counteracting the detrimental effect of natural snow decline. However, conventional snowmaking can only operate under specific meteorological conditions. Whether snowmaking is a relevant adaptation measure under future climate change is a widely debated issue in mountainous regions, with major implications on the supply side of this tourism industry. This often lacks comprehensive scientific studies for informing public and private decisions in this sector. Here we show how climate change influences the operating conditions of one of the main ski tourism markets worldwide, the French Alps. Our study addresses snow reliability in 129 ski resorts in the French Alps in the 21st century, using a dedicated snowpack model explicitly accounting for grooming and snowmaking driven by a large ensemble of adjusted and downscaled regional climate projections, and using a geospatial model of ski resorts organization. A 45% snowmaking fractional coverage, representative of the infrastructures in the early 2020s, is projected to improve snow reliability over grooming-only snow conditions, both during the reference period 1986–2005 and below 2 °C global warming since pre-industrial. Beyond 3 °C of global warming, with 45% snowmaking coverage, snow conditions would become frequently unreliable and induce higher water requirements. Nature Publishing Group UK 2019-05-29 /pmc/articles/PMC6541717/ /pubmed/31142772 http://dx.doi.org/10.1038/s41598-019-44068-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Spandre, P.
François, H.
Verfaillie, D.
Lafaysse, M.
Déqué, M.
Eckert, N.
George, E.
Morin, S.
Climate controls on snow reliability in French Alps ski resorts
title Climate controls on snow reliability in French Alps ski resorts
title_full Climate controls on snow reliability in French Alps ski resorts
title_fullStr Climate controls on snow reliability in French Alps ski resorts
title_full_unstemmed Climate controls on snow reliability in French Alps ski resorts
title_short Climate controls on snow reliability in French Alps ski resorts
title_sort climate controls on snow reliability in french alps ski resorts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6541717/
https://www.ncbi.nlm.nih.gov/pubmed/31142772
http://dx.doi.org/10.1038/s41598-019-44068-8
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