Results 41 to 50 of about 723 (193)
Regional modelling of extreme sea levels induced by hurricanes [PDF]
Coastal zones are increasingly threatened by extreme sea level events, with storm surges being among the most hazardous components, especially in regions prone to tropical cyclones.
A. A. Chaigneau +3 more
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Study of Secondary Development of ADCIRC Graphic Post-Processing Model
WANG Hua, XU Feng-jun
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Abstract Data‐driven emulation of storm surges has emerged as a valuable tool for supporting regional coastal risk assessment. Surrogate models for such applications are developed using data sets of surge predictions for synthetic storms across a large number of locations, corresponding to the nodes of the utilized numerical model used. Recent work has
P. Toofani Movaghar +3 more
wiley +1 more source
A Regional Storm Surge Model for the Alaska Region and Updating Sea Ice Options in ADCIRC
Alaska Regional ADCIRC Model Model Description Sea Ice Implementation to Circulation Modelling Modelling Storm Surge in the Presence of Ice Coverage November 2011 February 2011 January 2017 Moving Forward Updating Sea Ice ...
Joyce, Brian
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This paper describes storm surge simulations made for Sandy (2012) for the Metropolitan New York (NYC) area using the Advanced Circulation (ADCIRC) model forced by the Weather Research and Forecasting (WRF) model. The atmospheric forecast uncertainty was
Brian A. Colle +8 more
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ABSTRACT Flood forecasting in transitional inland‐coastal low‐gradient rivers is challenging due to complex interactions among meteorological, hydrologic, and coastal processes. This study evaluates how uncertainties in key forecast inputs affect flood prediction accuracy in such settings, using the Vermilion River (south‐central Louisiana).
Mohamed S. Awaad, Emad H. Habib
wiley +1 more source
Uncertainty Analysis of Overflow Due to Sea Dike Failure During Typhoon Events
Taiwan is frequently affected by typhoons, which cause storm surges and wave impacts that damage sea dikes, resulting in overflow and subsequent flooding.
Wei-Che Huang +2 more
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A Deep Learning Framework for Extreme Storm Surge Modeling Under Future Climate Scenarios
Abstract Coastal regions are increasingly exposed to sea‐level rise and intensifying storm surges, underscoring the urgent need for accurate long‐term predictions of extreme water levels to support robust adaptation planning. Physics‐based hydrodynamic storm surge models remain the gold standard for such projections, but are computationally demanding ...
Emiliano Longo +4 more
wiley +1 more source
Improving Accuracy of Real-Time Storm Surge Inundation Predictions
Objectives for improving the accuracy of real-time-storm surge inundation predictions: Extrapolate ADCIRC results to intersect a higher resolution DEM Create fully-automated process for use in real-time forecasting Create process that runs in 10-20 ...
Tull, Nelson
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Using surrogate modeling to predict storm surge on evolving landscapes under climate change
Planners managing coastal flood risk under a constrained computational budget face a tradeoff. Simulating many time periods or scenarios limits how many storm simulations can be run on each landscape. In this analysis, we present a deep learning model to
Mohammad Ahmadi Gharehtoragh +1 more
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