A review of application of machine learning in storm surge problems
Y Qin, C Su, D Chu, J Zhang, J Song - Journal of Marine Science and …, 2023 - mdpi.com
The rise of machine learning (ML) has significantly advanced the field of coastal
oceanography. This review aims to examine the existing deficiencies in numerical …
oceanography. This review aims to examine the existing deficiencies in numerical …
A Comprehensive Review of Assessing Storm Surge Disasters: From Traditional Statistical Methods to Artificial Intelligence-Based Techniques
Y Zhang, T Zhang - Atmosphere, 2024 - mdpi.com
In the context of global climate change and rising sea levels, the adverse impacts of storm
surges on the environment, economy, and society of affected areas are becoming …
surges on the environment, economy, and society of affected areas are becoming …
Underestimation of extremes in sea level surge reconstruction
L Harter, L Pineau-Guillou, B Chapron - Scientific Reports, 2024 - nature.com
Statistical models are an alternative to numerical models for reconstructing storm surges at a
low computational cost. These models directly link surges to metocean variables, ie …
low computational cost. These models directly link surges to metocean variables, ie …
[HTML][HTML] A novel hybrid machine learning model for rapid assessment of wave and storm surge responses over an extended coastal region
Storm surge and waves are responsible for a substantial portion of tropical and extratropical
cyclones-related damages. While high-fidelity numerical models have significantly …
cyclones-related damages. While high-fidelity numerical models have significantly …
Increasing flood hazard posed by tropical cyclone rapid intensification in a changing climate
Tropical cyclones (TCs) that undergo rapid intensification (RI) before landfall are notoriously
difficult to predict and have caused tremendous damage to coastal regions in the United …
difficult to predict and have caused tremendous damage to coastal regions in the United …
A Machine Learning Approach to Model Over-Ocean Tropical Cyclone Precipitation
Extreme rainfall found in tropical cyclones (TCs) is a risk for human life and property in many
low-to midlatitude regions. Probabilistic modeling of TC rainfall in risk assessment and …
low-to midlatitude regions. Probabilistic modeling of TC rainfall in risk assessment and …
Modeling surge dynamics improves coastal flood estimates in a global set of tropical cyclones
Tropical cyclone-induced storm surge is a major coastal risk, which will be further amplified
by rising sea levels under global warming. Here, we present a computational efficient …
by rising sea levels under global warming. Here, we present a computational efficient …
Model of storm surge maximum water level increase in a coastal area using ensemble machine learning and explicable algorithm
K Sun, J Pan - Earth and Space Science, 2023 - Wiley Online Library
This study proposes a novel, new ensemble model (NEM) designed to simulate the
maximum water level increases caused by storm surges in a frequently cyclone‐affected …
maximum water level increases caused by storm surges in a frequently cyclone‐affected …
Surge-NF: Neural Fields inspired peak storm surge surrogate modeling with multi-task learning and positional encoding
Storm surges pose a significant threat to coastal communities, necessitating rapid and
precise storm surge prediction methods for long-time risk assessment and emergency …
precise storm surge prediction methods for long-time risk assessment and emergency …
Artificial neural network-based multi-input multi-output model for short-term storm surge prediction on the southeast coast of China
In recent years, to reduce social and economic losses, timely and accurate storm surge
forecasts have been attracting growing attention from coastal engineers. Although a host of …
forecasts have been attracting growing attention from coastal engineers. Although a host of …