High-Resolution Downscaled CMIP6 Projections dataset of Key Climate Variables for Senegal
Asse Mbengue1,2, Benjamin Sultan3, Redouane Lguensat4
1Meteorological Exploitation Direction, ANACIM, Dakar, Senegal. Asse.Mbengue@anacim.sn.
None:
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.
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