ArticleInternational journal of biometeorology2021
The Ski Climate Index (SCI): fuzzification and a regional climate modeling application for Turkey.
Article in International journal of biometeorology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Identifying the tourism sector's exposure to climate change utilizing two different climate datasets: the case of three climatically diverse locations in Slovenia.International journal of biometeorology · 2025Article
- Quantifying climatic suitability for tourism in Southwest Indian Ocean Tropical Islands: Applying the Holiday Climate Index to Réunion Island.International journal of biometeorology · 2024Article
- Impacts of climate change on dogsledding recreation and tourism in Arctic Sweden.International journal of biometeorology · 2024Article
- Overloaded! Critical revision and a new conceptual approach for snow indicators in ski tourism.International journal of biometeorology · 2021Review
- Tourism climatology: past, present, and future.International journal of biometeorology · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Climatology has increasingly become an important discipline for understanding tourism and recreation, especially in the era of contemporary climate change. Climate indices, in this respect, have been useful tools to yield the climatic attractiveness of tourism destinations as well as in understanding their altering suitability to various tourism types along with the changing climates. In this study, a major gap for a comprehensive climate index tailored for ski tourism is aimed to be fulfilled. For this purpose, initially the Ski Climate Index (SCI) is specified, based on fuzzy logic and as informed by literature and through extensive co-creation with the ski tourism industry experts, and applied to an emerging destination, Turkey, based on regional climate modeling projections. The index is designed as a combination of snow reliability and aesthetics and comfort facets, the latter of which includes sunshine, wind, and thermal comfort conditions. Results show that the Eastern Anatolia region is climatically the most suitable area for future development, taking account of the overriding effects of natural and technical snow reliability. Future research suggestions include the incorporation of more components into the index as well as technical recommendations to improve its application and validation.
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Registered trials
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