This review paper focuses on the use of ensemble neural networks (ENN) in the
development of storm surge flood models. Storm surges are a major concern in coastal …

Recent hurricane losses in the New York Metropolitan area demonstrate its vulnerability to
flood hazards. Long-term development and planning require predictions of low-probability …

Storm surge generated from low-probability high-consequence tropical cyclones is a major
flood hazard to the New York metropolitan area and its assessment requires a large number …

Tropical-cyclone impacts can have devastating effects on the population, infrastructure, and
natural habitats. However, predicting these impacts is difficult due to the inherent …

Abstract The northern Gulf of Mexico coast is affected by the North Atlantic hurricane season,
which causes storm surge disasters every year and brings serious economic losses to the …

Physics simulation results of natural processes usually do not fully capture the real world.
This is caused for instance by limits in what physical processes are simulated and to what …

Providing storm surge risk information at multi-day lead times is critical for hurricane
evacuation decisions, but predictability of storm surge inundation at these lead times is …

A common feature within coastal cities is small, urbanized watersheds where the time of
concentration is short, leading to vulnerability to flash flooding during coastal storms that can …

Being concerned by the increasing frequency and intensity of hurricanes induced by climate
change, the chapter aims to shed light on the importance of actionable science in enhancing …

This chapter overviews the current status, challenges, and opportunities in the technology
landscape for actionable climate sciences. It emphasizes the significant role of technology in …