Abstract:
Due to Climate Change, there will be more extreme weather events such as intense rainfall storms in the future. These events often cause hydrological hazards such as flooding, landslides and debris flows. Modelling the risk from these rainfall-related hazards is essential for increasing resilience. It underpins important applications that reduces risk or enables faster recovery. In this presentation, I will present my recent research on developing cutting-edge modelling methods for climate and weather-related hazards, including both hydrodynamic and machine learning based approaches, and their applications in risk assessment and real-time forecasting.