Abstract <p>Global warming and climate change are widely researched due to their role in environmental disasters. Analyzing geospatial climate data has become critical for organizations, but the volume of geospatial data generated poses significant storage, processing, and analytical challenges for existing algorithms. Among extreme weather factors, temperature has profound impacts on human activities and industries. However, predicting extreme temperatures remains difficult due to the complex interplay of climate variables. This paper proposes a Geo-Blockchain Intelligence Risk Assessment (GBIRA) framework to predict extreme weather temperatures. GBIRA integrates Blockchain, AI, risk assessment, Spatial Big Data, cloud computing, and IoT to develop a Climate Intelligence prediction model. The framework aids in climate-related decision-making by assessing risks (e.g., extreme temperatures) and their impacts on critical assets. Additionally, it introduces GBIRA-as-a-Service, a novel computing paradigm that enhances environmental-human interaction through advanced theoretical and scientific methods. By efficiently processing and securing large-scale geospatial data, the framework improves extreme weather forecasting and risk assessment, ultimately supporting disaster response efforts.</p> Study implications <p> This research contributes to disaster risk management by providing a secure, scalable framework for real-time extreme weather prediction. The GBIRA framework offers practical applications for smart cities, agriculture, and emergency response systems, enabling more proactive climate adaptation strategies. The integration of blockchain with spatial big data computing establishes new standards for data integrity and interoperability in environmental monitoring, while the homomorphic encryption approach ensures privacy-preserving collaborative weather forecasting across organizational boundaries.</p>