This section of research highlights a robust collection of studies that advance the science of flood risk management through innovative flood monitoring, forecasting, and inundation modeling. These studies leverage the latest advancements in hydrodynamic modeling, climate science, and computational technologies, aiming to provide more precise and actionable flood risk assessments. Research in this area incorporates a variety of approaches to better understand and predict flood dynamics across different environments—from densely urbanized areas to coastal and riverine landscapes. This includes the use of detailed climate change projections to model their impact on floodplains, the exploration of urban land use changes on flood frequencies, and the development of sophisticated regional and global models that integrate multiple data sources to analyze flood frequency and severity. A significant focus is also placed on technical developments, such as the application of Bayesian hierarchical models for regional flood analysis and the use of machine learning techniques to identify atmospheric patterns linked to extreme flooding events. These methods enhance the capability to model complex flood scenarios and allow for real-time flood monitoring and forecasting that can dynamically adapt as flood events unfold. Additionally, the integration of remotely sensed data and the application of advanced data assimilation techniques help in mapping flood inundation with high accuracy, crucial for emergency management and disaster response planning. Studies also delve into the assessment of compound flooding effects, where multiple drivers such as rainfall, storm surges, and river flows interact, increasing the complexity of flood hazards. Overall, the work featured in this section not only pushes the boundaries of traditional flood modeling but also contributes to more resilient infrastructure and community planning through enhanced understanding and preparedness for flood risks. This research is pivotal for shaping future strategies in flood risk management, ensuring that communities are better equipped to handle the adverse impacts of flooding.