The study evaluates the Weather Research and Forecasting (WRF) model's cumulus parameterization schemes for Sudan's climate, particularly focusing on the crop growing seasons. It compares the Betts–Miller–Janjic (BMJ), improved Kain–Fritch (KFT), modified Tiedtke (TDK), and Grell–Freitas (GF) schemes to identify the most suitable for predicting wet season rainfall and dry season temperature, critical for summer crop and irrigated wheat yields. Results indicate BMJ performs better for wet season rainfall in hyper-arid and arid zones, while KFT is more accurate for semi-arid zones' rainfall. For dry season temperatures, BMJ and TDK are recommended for all zones, with GF performing best in arid and semi-arid zones for minimum temperatures. This suggests the need for selecting specific schemes for different climatic zones in Sudan.