This review focuses on recent advances in process-based numerical models of the impact of
extreme storms on sandy coasts. Driven by larger-scale models of meteorology and …

The last twenty years have brought significant advances in hydrology and hydrogeology,
especially in the area of data availability and predictive modeling capabilities. Remote …

Representing the reservoir as a network of discrete compartments with neighbor and non-
neighbor connections is a fast, yet accurate method for analyzing oil and gas reservoirs …

Mapping coastal bathymetry from remote sensing becomes increasingly more attractive for
the coastal community. It is facilitated by a rising availability of drone and satellite data …

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

Accurate modelling of tsunami waves requires complete boundary and initial data, coupled
with the appropriate mathematical model. However, necessary data is often missing or …

Seafloor topography over seamount areas is crucial for studying plate motions, seafloor
seismicity, and seamount ecosystems. However, seamount bathymetry modeling is difficult …

Nearshore bathymetry changes on scales of hours to months in ways that strongly impact
coastal processes. However, even at the best-monitored sites, surveys are typically not …

Bathymetric data are crucial for benthic monitoring in coastal areas but are traditionally
obtained through costly and geographically limited acoustic methods. This study uses …

Currently, using satellite images combined with deep learning models has become an
efficient approach for bathymetry inversion. However, only limited bands are usually used for …