The modelling and management of flood risk in urban areas are increasingly recognized as
global challenges. The complexity of these issues is a consequence of the existence of …

Machine learning (also called data-driven) methods have become popular in modeling flood
inundations across river basins. Among data-driven methods, traditional machine learning …

The computational limitations of complex numerical models have led to adoption of
statistical emulators across a variety of problems in science and engineering disciplines to …

In our era, the rapid increase of parallel programming coupled with high‐performance
computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D …

This paper presents an integrated modeling framework aiming at accurate predictions of
flood hazard from heavy rainfalls. The accuracy of such predictions generally depends on …

Abstract The Hindu-Kush-Himalaya is abode to numerous severely flood-prone
mountainous stretches that distress vulnerable communities and cause massive destruction …

Urban flooding from extreme precipitation and storm surge is a growing threat to cities, and
detailed forecasts of urban inundation are needed for emergency response. We present a …

The use of integrated flood models represents an approach of growing interest in the
literature, being the hydrological and hydrodynamic flood processes described entirely …

Hydrodynamic models can accurately simulate flood inundation but are limited by their high
computational demand that scales non-linearly with model complexity, resolution, and …

Due to the projected increased frequency of occurrence of extreme flood events, it is
becoming increasingly important to pay attention to agricultural flood management. The …