Projections of the impact of climate change on tourism in the Canary Islands

Results associated with the publication [Projected impacts of climate change on tourism in the Canary Islands](https://link.springer.com/article/10.1007/s10113-022-01880-9) of the group of Earth and Atmosphere Observation (GOTA) of the University of La Laguna (ULL) in which climatic projections of some of the tourism indices widely used in the literature are made: the Tourism Climate Index (TCI) and the Holiday Climate Index (HCI). The latter has been subdivided for the bathing activity (HCIB) and the urban area (HCIU). These projections have been regionalised for the Canary Islands, with a resolution of 3 km, using as contour conditions some of the results provided by the CMIP5 initiative (Coupled Model Intercomparison Project), and covering the recent past (1980-2009) and the future (2070-2099), under two greenhouse gas emission scenarios (RCP4.5 and RCP8.5). A dynamic downscaling technique has been applied using the WRF (Weather and Research and Forecasting) model guided by the results of three CMIP5 models (GFDL-ESM2M, IPSL-CM5A-MR and MIROC-ESM).本数据集关联拉古纳大学（University of La Laguna, ULL）地球与大气观测小组（Group of Earth and Atmosphere Observation, GOTA）发表的论文《气候变化对加那利群岛旅游业的预估影响》（https://link.springer.com/article/10.1007/s10113-022-01880-9）的相关研究成果，该研究针对学术文献中广泛使用的若干旅游气候指标开展气候预估工作：包括旅游气候指数（Tourism Climate Index, TCI）与度假气候指数（Holiday Climate Index, HCI）。其中度假气候指数（HCI）被进一步细分为海滨活动子类（HCIB）与城区休闲子类（HCIU）。本研究针对加那利群岛完成了上述预估结果的区域化处理，空间分辨率为3千米，以耦合模式比较计划第五阶段（Coupled Model Intercomparison Project, CMIP5）的部分成果作为边界条件，研究时段涵盖近期历史时段（1980-2009年）与未来时段（2070-2099年），共采用两种温室气体排放情景（RCP4.5与RCP8.5）。研究采用动力降尺度技术，以天气研究与预报（Weather and Research and Forecasting, WRF）模式为工具，以三个CMIP5模式（GFDL-ESM2M、IPSL-CM5A-MR及MIROC-ESM）的模拟结果作为模式驱动条件开展分析。