Disaster management (DM) is one of the leading fields that deal with the humanitarian
aspects of emergencies. The field has attracted researchers because of its ever-increasing …

Flood prediction has advanced significantly in terms of technique and capacity to achieve
policymakers' objectives of accurate forecast and identification of flood-prone and impacted …

With the availability of petabytes of oceanographic observations and numerical model
simulations, artificial intelligence (AI) tools are being increasingly leveraged in a variety of …

Storm surge is the anomalous rising of the sea surface induced by intense atmospheric
disturbances. The storm surge caused by tropical cyclones often causes great socio …

The rise of machine learning (ML) has significantly advanced the field of coastal
oceanography. This review aims to examine the existing deficiencies in numerical …

Sea levels variations in the upper part of estuary are traditionally approached by relying on
refined numerical simulations with high computational cost. As an alternative efficient and …

In this research paper, we study the capability of artificial neural network models to emulate
storm surge based on the storm track/size/intensity history, leveraging a database of …

In this study, the wave conditions in the Arabian Sea induced by tropical cyclone Kyarr
(2019) have been simulated by employing the 3rd generation wave model MIKE 21 SW. The …

The uncertainty of ocean turbulent mixing parameterization comprises a significant
challenge in ocean and climate models. A depth-dependent deep learning ocean turbulent …

A real-time and accurate storm surge prediction model is of great scientific value and
practical significance in reducing human casualties and economic losses in coastal areas …