Results 31 to 40 of about 1,949 (212)

Adaptive Mesh Refinement for Storm Surge

, 2014
An approach to utilizing adaptive mesh refinement algorithms for storm surge modeling is proposed. Currently numerical models exist that can resolve the details of coastal regions but are often too costly to be run in an ensemble forecasting framework ...
Dawson, Clint N., Mandli, Kyle T.
core   +1 more source

A Study of the Potential Impact of Dredging the Corpus Christi Ship Channel on Passive Particle Transport

Journal of Marine Science and Engineering, 2021
We present a study of the potential impact of deepening the Corpus Christi Ship Channel through Aransas Pass; in particular, we study the effect on the transport of red drum fish larvae due to the change in channel depth.
Eirik Valseth, Mark D. Loveland, Clint Dawson, Edward J. Buskey   +3 more
doaj   +1 more source

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, William Miller, Ashley Naimaster, Tucker Mahoney   +3 more
openaire   +1 more source

Технология моделирования штормовых нагонов и ветрового волнения в Азовском море на неструктурированных сетках [PDF]

, 2013
Представлена технология численного моделирования штормовых нагонов и ветровых волн в Азовском море, объединяющая модель циркуляции вод ADCIRC и модель ветрового волнения SWAN.
Damesin, Claire, Joffre, Richard, Lempereur, Morine, Martin-StPaul, Nicolas, Ourcival, Jean-Marc, Rambal, Serge, Rocheteau, Alain   +6 more
core   +2 more sources

Challenges and Opportunities for National‐Scale Projections of Future Coastal Landscape Change

Earth's Future, Volume 14, Issue 4, April 2026.
Abstract Local to global scale projections of future coastal landscape change are essential to improve land and resource management decisions that aim to prepare for and reduce risk exposure to impending coastal hazards. However, the availability of actionable knowledge is often limited due to the complexity of drivers of change, their consequences ...
Erika E. Lentz, Davina L. Passeri, Sara L. Zeigler, Kate White, Thomas Wahl, Amanda D. Stoltz, Elizabeth A. Pendleton, Shubhra Misra, Trevor Meckley, Ben Hamlington, Neil Ganju, Amanda E. Cravens, Joel Carr, Christine A. Buckel   +13 more
wiley   +1 more source

Development of computational meshes to implement the model ADCIRC (Advance Three Dimensional Circulation Model) in the Galapagos Archipelago

ACI Avances en Ciencias e Ingenierías, 2014
The study of physical oceanographic variables is a topic of great interest for understanding other relevant processes like chemical, biological, heat transfer, among others.
Daniel E. Gaona, Jesús Portilla-Yandún
doaj   +1 more source

Shingle 2.0: generalising self-consistent and automated domain discretisation for multi-scale geophysical models

, 2017
The approaches taken to describe and develop spatial discretisations of the domains required for geophysical simulation models are commonly ad hoc, model or application specific and under-documented.
Candy, Adam S., Pietrzak, Julie D.
core   +3 more sources

Process modeling studies of physical mechanisms of the formation of an anticyclonic eddy in the central Red Sea [PDF]

, 2014
Author Posting. © American Geophysical Union, 2014. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution.
Abualnaja, Yasser, Beardsley, Robert C., Bower, Amy S., Chen, Changsheng, Jiang, Houshuo, Kim, Taewan, Lan, Jian, Li, Ruixiang, Limeburner, Richard, Lin, Huichan, Liu, Xuehai, Pratt, Lawrence J., Xu, Qichun   +12 more
core   +1 more source

Computationally and Memory Efficient Graph Neural Network for Emulating Storm Surge Inundation State Over Extended Geospatial Domains

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
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, A. A. Taflandis, N. C. Nadal‐Caraballo, J. Zhang   +3 more
wiley   +1 more source

c-HAND: near real-time coastal flood mapping

Frontiers in Water
The Texas Gulf Coast region contains significant centers of population, infrastructure, and economy and is threatened by intensifying tropical storms. The flooding from these tropical storms often has multiple compounding drivers.
Mark Wang, Paola Passalacqua, Shukai Cai, Clint Dawson   +3 more
doaj   +1 more source