Many open questions and unresolved issues surround the topic of bias correction (BC) in climate change impact studies (CCIS). While there is an increasing body of literature in hydrology, relatively few studies exist to quantify the impacts of post-processing bias correction methods in agricultural impact models, driven by regional climate model (RCM) data.We provide daily T&P bias corrected data (based on 4 different BC methods) from 9 different CORDEX GCM-RCM combinations, following the RCP4.5 emission scenario for the period 2006-2100.The data will be provided to encourage further CCIS across West Africa in agriculture, but also from other disciplines, such as hydrology and energy.