Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions
Real-time, probabilistic predictions of the expected storm surge represent an important
information source for guiding emergency response decisions during landfalling tropical …
information source for guiding emergency response decisions during landfalling tropical …
Efficient system reliability–based disaster resilience analysis of structures using importance sampling
Disaster resilience is an emerging concept for managing the risk of civil structural systems
considering not only structural safety against extreme loads but also aftermath recovery …
considering not only structural safety against extreme loads but also aftermath recovery …
Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks
Coastal regions in North America face major threats from storm surges caused by hurricanes
and nor'easters. Traditional numerical models, while accurate, are computationally …
and nor'easters. Traditional numerical models, while accurate, are computationally …
[HTML][HTML] Exploring the compound nature of coastal flooding by tropical cyclones: A machine learning framework
M Di Bacco, A Contento, AR Scorzini - Journal of Hydrology, 2024 - Elsevier
Modeling inundation patterns resulting from compound flooding induced by tropical
cyclones presents significant challenges due to the complex interplay of drivers and features …
cyclones presents significant challenges due to the complex interplay of drivers and features …
Advancing storm surge forecasting from scarce observation data: A causal-inference based Spatio-Temporal Graph Neural Network approach
Rapid and precise forecasting of storm surge in coastal regions is crucial for ensuring safety
of coastal communities' life and property. Yet, learning a data-driven forecasting model from …
of coastal communities' life and property. Yet, learning a data-driven forecasting model from …
Storm surge modeling in the AI era: Using LSTM-based machine learning for enhancing forecasting accuracy
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 …
This is caused for instance by limits in what physical processes are simulated and to what …
Adaptive formulation for probabilistic storm surge predictions through sharing of numerical simulation results across storm advisories
WH Jung, AA Taflanidis - Coastal Engineering, 2025 - Elsevier
As a tropical storm/cyclone approaches landfall, real-time probabilistic predictions for the
anticipated surge provide valuable information for emergency preparedness/response …
anticipated surge provide valuable information for emergency preparedness/response …
[图书][B] Storm Surge Forecasting and Future Projection in Practice: Scope of Application of Empirical Typhoon Models
This accessible shortform book describes storm surge forecasting to enable port managers
and practitioners to forecast these and mitigate their effects. This is particularly useful as …
and practitioners to forecast these and mitigate their effects. This is particularly useful as …