Evaluation of WRF Cumulus Parameterization Schemes for the Hot Climate of Sudan Emphasizing Crop Growing Seasons

High spatiotemporal resolution climate data are essential for climate-related impact studies. The Weather Research and Forecasting (WRF) model is widely used to downscale different regions with regional-specific physics configurations. This study aimed identify robust configurations of the WRF model, especially cumulus parameterization schemes, climatic zones Sudan. We focused on wet season (June–September) rainfall dry (November–February) temperature, which determinants summer crop irrigated wheat yields, respectively. Downscaling experiments were carried out compare following schemes: Betts–Miller–Janjic (BMJ), improved Kain–Fritch (KFT), modified Tiedtke (TDK), Grell–Freitas (GF). Results revealed that BMJ performed better in hyper-arid arid zones; KFT July August semi-arid zone where most crops cultivated. For TDK outperformed other schemes all three zones, except GF best minimum temperature December January zone, produced, zone. Specific therefore need be selected specific seasons