This study proposes an integrated spherical fuzzy (SF) SWARA-WASPAS model for managing climate change risks in Africa. The model combines the Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods within a spherical fuzzy framework to prioritize strategies for climate change risk management. The study identifies four key challenges: insufficient climate data, scenarios, and impact models; lack of well-coordinated capacity-building programs; fragmented adaptation programs; and limited access to finance. It also proposes three strategies to address these challenges, with the most effective being the promotion of a well-coordinated capacity-building program. A sensitivity analysis was conducted to validate the model's applicability, showing that the model is robust and consistent under varying conditions. The study highlights the critical need for improved climate data collection and the development of more effective strategies for adaptation in Africa. The research contributes to the field by introducing a novel framework for managing climate change risks in Africa, emphasizing the importance of a well-coordinated capacity-building program. The study also underscores the need for improved institutional capacity and the development of more intelligent strategies in three key areas: adaptation priorities, energy supply systems, and transportation and mobility. The findings emphasize the importance of a proactive approach for African governments, highlighting the necessity for well-defined strategies that specify adaptation priorities, fund purposes, and required financial resources. The study also calls for improved climate data collection, especially at the regional level, to enhance the accuracy of downscaled projections. The research provides a framework for assessing the challenges in climate change risk management and offers practical guidance for prioritizing adaptation strategies. The study's findings have important implications for policymakers and stakeholders in Africa, emphasizing the need for coordinated efforts to address climate change risks. The research also highlights the importance of collaboration between national governments, donors, and UN agencies to inform effective adaptation in Africa. The study's methodology and findings are relevant for entities involved in climate change risk management, providing a framework for assessing the challenges in the domain of climate change risk management. The results underscore the importance of a proactive approach for African governments, emphasizing the necessity for well-defined strategies that delineate adaptation priorities, specify fund purposes, determine required financial resources, and project their intended impact. The study also calls for improved climate data collection, especially at the regional level, to enhance the accuracy of downscaled projections. The research provides a framework for assessing the challenges in climate change risk management and offers practical guidance for prioritizing adaptation strategies. The study's findings have important implications for policymakers and stakeholders in Africa, emphasizing the need for coordinated efforts to address climate change risks.This study proposes an integrated spherical fuzzy (SF) SWARA-WASPAS model for managing climate change risks in Africa. The model combines the Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods within a spherical fuzzy framework to prioritize strategies for climate change risk management. The study identifies four key challenges: insufficient climate data, scenarios, and impact models; lack of well-coordinated capacity-building programs; fragmented adaptation programs; and limited access to finance. It also proposes three strategies to address these challenges, with the most effective being the promotion of a well-coordinated capacity-building program. A sensitivity analysis was conducted to validate the model's applicability, showing that the model is robust and consistent under varying conditions. The study highlights the critical need for improved climate data collection and the development of more effective strategies for adaptation in Africa. The research contributes to the field by introducing a novel framework for managing climate change risks in Africa, emphasizing the importance of a well-coordinated capacity-building program. The study also underscores the need for improved institutional capacity and the development of more intelligent strategies in three key areas: adaptation priorities, energy supply systems, and transportation and mobility. The findings emphasize the importance of a proactive approach for African governments, highlighting the necessity for well-defined strategies that specify adaptation priorities, fund purposes, and required financial resources. The study also calls for improved climate data collection, especially at the regional level, to enhance the accuracy of downscaled projections. The research provides a framework for assessing the challenges in climate change risk management and offers practical guidance for prioritizing adaptation strategies. The study's findings have important implications for policymakers and stakeholders in Africa, emphasizing the need for coordinated efforts to address climate change risks. The research also highlights the importance of collaboration between national governments, donors, and UN agencies to inform effective adaptation in Africa. The study's methodology and findings are relevant for entities involved in climate change risk management, providing a framework for assessing the challenges in the domain of climate change risk management. The results underscore the importance of a proactive approach for African governments, emphasizing the necessity for well-defined strategies that delineate adaptation priorities, specify fund purposes, determine required financial resources, and project their intended impact. The study also calls for improved climate data collection, especially at the regional level, to enhance the accuracy of downscaled projections. The research provides a framework for assessing the challenges in climate change risk management and offers practical guidance for prioritizing adaptation strategies. The study's findings have important implications for policymakers and stakeholders in Africa, emphasizing the need for coordinated efforts to address climate change risks.