Evaluation of the Performance of CMIP6 Models in Reproducing Rainfall Patterns over North Africa

This study assesses the performance of historical rainfall data from Coupled Model Intercomparison Project phase 6 (CMIP6) in reproducing spatial and temporal variability over North Africa. Datasets Climatic Research Unit (CRU) Global Precipitation Climatology Centre (GPCC) are used as proxy to observational datasets examine capability 15 CMIP6 models’ their ensemble simulating during 1951–2014. In addition, robust statistical metrics, empirical cumulative distribution function (ECDF), Taylor diagram (TD), skill score (TSS) utilized assess annual seasonal monthly domain. Results show that models satisfactorily reproduce mean climatology dry/wet months. However, some a slight over/under estimation across The overall top ranking all analyses ranging cycle simulation, trend analysis, inter-annual variability, ECDFs, metrics follows: EC-Earth3-Veg, UKESM1-0-LL, GFDL-CM4, NorESM2-LM, IPSL-CM6A-LR, GFDL-ESM4. model outperformed individual resulting TSS ratio (0.79). For future impact studies domain, it is advisable employ multi-model best performing models.