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

Published: 22 November 2018| Version 1 | DOI: 10.17632/97p2x3hjst.1
O. E. Adeyeri, A.E Lawin, P. Laux, M. Borne


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



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