Why is the content of this map important?
Climate and weather patterns are essential factors for summer tourism activities. Changes in temperature, precipitation and other climate variables have the tendency to affect the popularity of summer tourism destinations. It is important to know how +2°C and +3°C may affect the summer tourism in the future.
Which sectors are affected by this result?
The results refer to climate change effects on tourism from May to October, thus directly effecting the summer tourism sector. Readers are encouraged to see the respective results during June to August months that consist of the heart of the summer tourism season.
What is shown on the maps?
This map shows the climate favourability for summer tourism through Tourism Climate Index (TCI) for the period from May to October. This index is composed of several climatic parameters such as temperature, sunshine duration, wind and others. TCI ranges between 0 and 100, with the optimal to be 90 to 100 (Table 1). In the vast majority of the European regions, climate favourability for summer tourism is expected to increase under +2°C and +3°C global warming. However, this is the average effect of May to October, meaning that for some regions, this is the net effect of an increase in early and late summer favourability, combined with a loss in the central (June to August) summer.
Details and further information:
The TCI is a summary of ratings of five human comfort indices related to sightseeing tourism. TCI is favoured as an index because it comprises one of the most comprehensive metrics that integrates the three essential facets of climate that are relevant to tourism. These facets are comprised of: thermal comfort, physical aspects such as rain and wind, and the aesthetical facet of sunshine/cloudiness. At the same time it makes use of climate variables.
To investigate this, the ensemble of the five mandatory climate simulations is used as input to calculate the Tourism Climate Index (TCI) under a +2°C global warming. Hence, the ensemble consists of 5 simulations in total.
For the +3°C global warming case the analysis is based on the standard set of four climate simulations.
Kostas SeiradakisTechnical University of Crete (TUC), Greece