Resolution-Sensitive Added Value Analysis of CORDEX-CORE RegCM4-7 Past Seasonal Precipitation Simulations over Africa Using Satellite-Based Observational Products

This study adopts a two-way approach to CORDEX-CORE RegCM4-7 seasonal precipitation simulations’ Added Value (AV) analysis over Africa, which aims quantify potential improvements introduced by the downscaling at high and low resolution, using satellite-based observational products. The results show that does add value its driving Global Climate Models (GCMs) with positive Coverage (AVC) ranging between 20 60% depending on season boundary conditions. At indicate an increase in AVC up 20% compared high-resolution results, 8% decrease for instances where is not observed. Typical climate zones such as West Central Southern East Regional (RCMs) are expected due strong dependence mesoscale fine-scale features, greater than 20%, regardless of GCM. These findings provide more evidence confirming hypothesis RCMs AV influenced their internal physics rather being product mere disaggregation large-scale features provided GCMs. Although some dependencies GCMs relating equilibrium sensitivity nature, resolutions similar native GCM make influence important. also feature bridging quality resolution gap coarse remote sensing datasets. Even if further post-processing activities, bias correction, may still be needed remove persistent biases upscaled alternative studies Africa can insightful other performance statistics satisfactory intended application.