Results 51 to 60 of about 723 (193)
WAVE MODELING WITH SWAN+ADCIRC FOR THE SOUTH CAROLINA COASTAL STORM SURGE STUDY [PDF]
Coastal Engineering Proceedings, 2012 The South Carolina Surge Study (SCSS) used the tightly coupled SWAN+ADCIRC model to simulate tropical storm surge events. The tightly coupled model allowed calculation of wave-induced water level changes within the storm surge simulations. Inclusion of the wave-induced water level changes represents a more physics-based approach than previous methods ...
Christopher Bender +3 more
openaire +1 more source
Hydrological Processes, Volume 40, Issue 2, February 2026.A hindcast of Typhoon Hagibis inundation in the Lower Tone River Basin demonstrates reasonable consistency with observations. Scenario‐based simulations were performed to quantify flood hazards in this coastal watershed until the end of the twenty‐first century. Agricultural lands, most of which were reclaimed from lakebeds, face a greater flood hazard
Shuoyuan Liang +3 more
wiley +1 more source
Hidrodinámica costera durante el huracán Wilma (2005) en Artemisa, Mayabeque y La Habana
Ingeniería Hidráulica y Ambiental, 2020 Este trabajo tuvo como objetivo estudiar, mediante simulación computacional, la influencia sobre el nivel del mar de los fenómenos: marea astronómica, surgencia y oleaje en las costas de las provincias Artemisa, Mayabeque y La Habana. Los códigos ADCIRC
Janner Rodríguez Pérez +2 more
doaj
Mapping Philadelphia's Floodscape: A 35‐Year Analysis of Coastal Urban Flood Hazards and Drivers
Earth's Future, Volume 14, Issue 2, February 2026.Abstract Low‐lying coastal urban cities face significant flooding risks from river flooding (fluvial), storm surges and high tides (coastal), and intense local rainfall (pluvial). Accurately assessing these hazards requires modeling frameworks capable of capturing both the individual and combined effects of multiple flood drivers, as well as the ...
Ning Sun +8 more
wiley +1 more source
Journal of Marine Science and Engineering, 2018 Storm surge events have the potential to cause devastating damage to coastal communities. The magnitude of their impacts highlights the need for increased accuracy and real-time forecasting and predictability of storm surge.
Alexandra N. Ramos Valle +3 more
doaj +1 more source
Emerging Importance of Compound Flooding in Future Tropical Cyclone Hazard Profiles
Earth's Future, Volume 14, Issue 2, February 2026.Abstract Accurately assessing tropical cyclone (TC) flood risk requires capturing the dynamic interactions between rainfall‐driven and coastal flood processes. We simulate flooding from over 2,800 synthetic TCs impacting five HUC6 watersheds in eastern North and South Carolina under historical and future (SSP5‐8.5) conditions using climatologically ...
Lauren E. Grimley +2 more
wiley +1 more source
NOAA Integrated Water Initiative: Coupling Inland Hydrology and Coastal Circulation Models
, 2018 NOAA Water Initiative objectives State-of-the-art inland and coastal coupling NWM and ADCIRC coverage NOAA NEMS unified coupling approach Suggested long-term ...
Mysers, Edward
core +1 more source
Real-Time Chronological Hazard Impact Modeling
Journal of Marine Science and Engineering, 2018 The potential of using ADvanced CIRCulation model (ADCIRC) to assess the time incremented progression of hazard impacts on individual critical facilities has long been recognized but is not well described.
Peter Stempel +4 more
doaj +1 more source
Neural Operators for Continuous Bias Correction of Water Level Forecast Guidance
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract The National Oceanic and Atmospheric Administration's (NOAA) Global Two‐Dimensional Surge and Tide Operational Forecast System (STOFS‐2D‐Global) provides global operational tidal, subtidal, and total water level forecast guidance with a 7.5‐day horizon.
Atieh Alipour +10 more
wiley +1 more source
Adjoint symmetry for Inverse ADCIRC
, 2006 ADCIRC, a finite element circulation model for shelves, coasts and estuaries, is used for weak constraint variational data assimilation. That is, data will be smoothed in space and time using ADCIRC and boundary conditions as a weak constraints; the ...
Chua, Boon, Luo, Hao, Muccino, Julia
core +1 more source