A high-resolution climate projections dataset is produced by statistically downscaling climate projections from the CMIP6 experiment. This global dataset is at a spatial resolution of 0.0375° × 0.0375° from 19 climate models over Senegal domain. It includes five essential surface daily variables: mean, minimum, and maximum air temperatures, precipitation, and terrestrial radiation. The dataset covers daily climate data for the historical period (1850–2014) and future projections (2015–2100) for three greenhouse gas emissions scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5. The downscaling method used is the “Cumulative Distribution Function-transform”, which is utilized for bias correction and has been widely referenced in peer-reviewed literature. The data processing includes rigorous quality control of metadata following climate modelling community standards and outlier detection to ensure data integrity.
Mbengue et al. (2026) studied this question.