The ability to monitor the evolution of the coastal zone over time is an important factor in
coastal knowledge, development, planning, risk mitigation, and overall coastal zone …

Accurate representation of river channel and floodplain geometries is of prime concern for
streamflow routing and flood inundation modelling under inadequate surveyed river cross …

Fast and reliable prediction of riverine flow velocities plays an important role in many
applications, including flood risk management. The shallow water equations (SWEs) are …

River bathymetry is critical for many aspects of water resources management. We propose
and demonstrate a bathymetry inversion method using a deep‐learning‐based surrogate for …

Measuring bathymetry has always been a major scientific and technological challenge. In
this work, we used a deep learning technique for inferring bathymetry from the depth …

Resolving surf-zone bathymetry from high-resolution imagery typically involves measuring
wave speeds and performing a physics-based inversion process using linear wave theory …

Only approximately 20% of the global seafloor topography has been finely modeled. The
rest either lacks data or its data are not accurate enough to meet practical requirements. On …

Model reduction for fluid flow simulation continues to be of great interest across a number of
scientific and engineering fields. Here, we explore the use of Neural Ordinary Differential …

Estimation of riverbed profiles, also known as bathymetry, plays a vital role in many
applications, such as safe and efficient inland navigation, prediction of bank erosion, land …

In this study, we elaborate on and evaluate a new reduced basis method for model reduction
of the shallow water equations using Proper Orthogonal Decomposition (POD) and artificial …