Storms represent an increased source of risk that affects human life, property, and the
environment. Prediction of these events, however, is challenging due to their low frequency …

Storms can cause significant damage, severe social disturbance and loss of human life, but
predicting them is challenging due to their infrequent occurrence. To overcome this problem …

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 …

Extreme weather events pose significant challenges to power utilities as they require very
rapid decision making regarding expected storm impact and necessary storm response …

The storm surge and resulting flooding can cause severe damage to coastal installations
such as oil refineries and nuclear power plants and can additionally pose danger to …

Process-based models have been widely used for storm surge predictions, but their high
computational demand is a major drawback in some applications such as rapid forecasting …

On coastlines with shallow shelf areas (eg North Sea), a combination of high tides, storm
surges, wind waves and mutual interactions generally represent the major sources of …

A major component of flood alert broadcasting is the short-term prediction of extreme rainfall
events, which remains a challenging task, even with the improvements of numerical weather …

Floods are one of the most destructive natural disasters as they cause severe material
damage and often the loss of human life. Predicting a flood is a challenging task and recent …

Wind power ramp events (WPREs) are strong increases or decreases of wind speed in a
short period of time. Predicting WPREs in wind farms is of vital importance given that they …