Projected impacts of climate change on tourism in the Canary Islands

Published: 28 June 2023| Version 1 | DOI: 10.17632/6tj6fd4947.1
Contributors:
, Juan Carlos Pérez Darias, Francisco Javier Exposito, Juan P Diaz, Judit Carrillo

Description

This dataset corresponds to the referenced work (https://doi.org/10.1007/s10113-022-01880-9), related to climate projections, for the Canary Islands, of some tourism indices widely used in the literature (the Tourism Climate Index TCI and the Holiday Climate Index HCI). The HCI has been calculated for two types of tourist activities, resulting in two different indices: The HCI Beach index (HCIB) and the HCI Urban index (HCIU). Regional climate simulations, at a 3 km resolution, were computed using the Weather Research and Forecast (WRF) numerical weather prediction model driven by the results of three CMIP5 global climate models (GFDL-ESM2M, IPSL-CM5A-MR and MIROC-ESM) as boundary conditions. The simulations were performed for three 30-year periods, recent past (1980–2009), mid-century (2030–2059), and end-century (2070–2099). Two different future greenhouse gas emission scenarios (RCP4.5 and RCP8.5) have been used for the projections. Each file, in netCDF format, has a name with the following format: canary_VAR_PERIOD_monthly_sum_WRF_driven_by_GCM.nc where: * VAR is the variable (HCIB60, HCIB80, HCIU60, HCIU80, TCI60, TCI80) * PERIOD is the simulation period, and also indicates, for future periods, the corresponding emission scenario (1980_2009, 2030_2059_rcp45, 2030_2059_rcp85, 2070_2099_rcp45, 2070_2099_rcp85) * GCM is the global climate model (GCM) whose results have been used to drive the WRF simulations (GFDL_ESM2M, IPSL_CM5A_MR, MIROC_ESM) Each file contains 12 timesteps, one for each month (january, february, …). The content of the variables is the mean (over the 30-year period) percentage, for each month, of the days with a tourism index over 60 or 80. Thus, for example, HCIB60 is the percentage of days for which the HCIB index is over 60. For example, a value of 70 for january means that, in average (for the 30 januaries of the selected simulation), 70*31/100 = 21,7 days have an index over 60. For the three used indices values over 60 are considered good to ideal conditions for the corresponding tourist activity, and values over 80 excellent or ideal conditions. Thus, HCIU80 indicates the percentage of days per month in which the conditions for urban tourism are excellent or ideal.

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Institutions

Universidad de La Laguna

Categories

Tourism, Regionalisation, Climate

Funding

European Union INTERREG MAC 2014–2020 Program

PLANCLIMAC Project (MAC/3.5b/244)

Government of the Canary Islands, Consejería de Transición Ecológica, Lucha contra el Cambio Climático y Planificación Territorial

Agreement: B.O.C. No. 238, November 20, 2020

Licence