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The Ski Climate Index (SCI): fuzzification and a regional climate modeling application for Turkey
Osman Cenk Demiroglu1, Mustafa Tufan Turp2, Mehmet Levent Kurnaz2,3
1Department of Geography and Arctic Research Centre (ARCUM), Umeå University, 901 87, Umeå, Sweden. cenk.demiroglu@umu.se.
International Journal of Biometeorology
|August 27, 2020
Summary
A new Ski Climate Index (SCI) assesses tourism potential by combining snow reliability with comfort factors like sunshine and wind. Eastern Anatolia shows the most promise for future ski tourism development in Turkey.
Area of Science:
- Climatology
- Tourism Studies
- Environmental Science
Background:
- Climate change impacts tourism, necessitating tools to assess destination suitability.
- Existing climate indices are insufficient for specialized tourism like skiing.
- Understanding climatic factors is crucial for the sustainability of ski tourism.
Purpose of the Study:
- To develop a comprehensive Ski Climate Index (SCI) for evaluating ski tourism destinations.
- To address the gap in specialized climate indices for the ski industry.
- To apply the SCI to Turkey, an emerging ski tourism market.
Main Methods:
- Developed the Ski Climate Index (SCI) using fuzzy logic.
- Incorporated snow reliability, sunshine, wind, and thermal comfort.
- Utilized regional climate modeling projections for Turkey.
- Co-created the index with ski tourism industry experts.
Main Results:
- Identified Eastern Anatolia as the most climatically suitable region in Turkey for ski tourism.
- Highlighted the significant influence of natural and technical snow reliability on suitability.
- The SCI effectively integrates multiple climatic factors for a holistic assessment.
Conclusions:
- The developed SCI provides a robust tool for assessing ski tourism potential.
- Eastern Anatolia presents significant opportunities for future ski tourism growth.
- Further research should refine the SCI by incorporating additional variables and validation.
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