A Digital Twin (DT) is an emerging decision-support tool that combines descriptive, predictive, and prescriptive modules to provide a comprehensive approach to complex decision-making. This capability makes it particularly relevant for addressing extreme weather events, which are becoming more frequent and intense due to climate change, often serving as major triggers of disasters. To explore the potential of DT in this context, we review existing literature on its applications and related technologies in crisis logistics and intervention management. Building on these insights, we propose a conceptual framework for applying DT to manage extreme weather events, detailing the technologies that support each component and demonstrating how DT can enhance disaster management strategies.