Projections of indices of daily temperature and precipitation based on bias-adjusted CORDEX-Africa regional climate model simulations

Abstract We present a dataset of daily, bias-adjusted temperature and precipitation projections for continental Africa based on large ensemble regional climate model simulations, which can be useful change impact studies in several sectors. provide guidance the benefits caveats using by investigating effect bias-adjustment impact-relevant indices (both their future absolute value change). Extreme threshold-based show differences between original values at end century due to general underestimation climate. These results indicate that when biases are accounted for, projected risks extreme temperature-related hazards higher than previously found, with possible consequences planning adaptation measures. Bias-adjusted usually consistent results, median preserved most regions indices. The interquartile full range is well bias-adjustment, exception maximum daily precipitation, whose greatly reduced bias-adjustment. This poor simulation extremely this index over reference period; bias reduced, models converge projecting similar change. Finally, we methodology select small subset simulations preserves overall uncertainty ensemble. result practical applications process-based too expensive run simulations.