Flood4castRTF: A Real-Time Urban Flood Forecasting Model

Worldwide, climate change increases the frequency and intensity of heavy rainstorms. The increasing severity consequent floods has major socio-economic impacts, especially in urban environments. Urban flood modelling supports assessment these both current conditions for forecasted scenarios. Over past decade, model frameworks that allow real-time have been gaining widespread popularity. Flood4castRTF is a novel applies grid-based approach at scale coarser than most recent detailed physically based models. Automatic set-up on commonly available GIS data facilitates quick building contrast with grid applied pursues better agreement resolution forcing rainfall allows speeding up calculations. conceptualises cell-to-cell interactions while same time maintaining relevant interpretable physical descriptions flow drivers resistances. A case study comparison results from two models shows do not necessarily outperform accuracy flooded areas in-between successful application high scenario demonstrated. reduced need, consisting mainly widely data, makes presented applicable scarce regions no terrain inventories. Moreover, method cost effective applications which require modelling.