Boxplot of climate indices consisting of 8 climate models with the ensemble mean for different climatic station in the Komadugou-Yobe basin, Lake Chad region, West Africa

The data is the result of 8 GCMs dynamically downscaled by RCA4 regional climate model (RCM). The GCMs considered are CanESM2, CNRM-CM5, EC-EARTH, GFDL-ESM2M, HadGEM2-ES, MIROC5, MPI-ESM-LR, NorESM1-M. The results from the RCM is bias-corrected using the quantile mapping approach at station scale. The results of the climate indices generated by the 8 GCMs and the ensemble mean are plotted to generate the level of uncertainty of the models. The climate indices considered are rx5day, cdd, cwd, r95p, r99p, prctot, dtr, tx10p,tx90p,tn10p, tn90p and wsdi. The climate indices were generated for 2020-2050 and 2060-2090 under RCP 4.5 and RCP 8.5

本数据集为8个全球气候模式（Global Climate Models, GCMs）通过区域气候模式RCA4（Regional Climate Model, RCM）开展动力降尺度得到的结果。所纳入的全球气候模式包括CanESM2、CNRM-CM5、EC-EARTH、GFDL-ESM2M、HadGEM2-ES、MIROC5、MPI-ESM-LR及NorESM1-M。该区域气候模式的输出结果已在站点尺度下采用分位数映射法完成偏差校正。基于8个全球气候模式的输出结果及集合平均得到的气候指数，被用于绘制可视化图表以表征各模式的不确定性水平。涉及的气候指数包括rx5day、cdd、cwd、r95p、r99p、prctot、dtr、tx10p、tx90p、tn10p、tn90p及wsdi。上述气候指数的计算时段为2020-2050年与2060-2090年，情景设置为代表性浓度路径（Representative Concentration Pathway, RCP）4.5与RCP 8.5。