OM51A:
Multiscale and Multiphysics Modeling of Coastal and Regional Ocean Processes: Recent Progress and Challenges for the Future II


Session ID#: 37803

Session Description:
Coastal ocean flows involve phenomena at dramatically different spatial and temporal scales, ranging from micro-scale phenomena (wave-current interaction, sediment transport, mixing at MHK turbines, and biogeochemistry) to meso-scale (coastal fronts, tides, and storm surge), and beyond. Realistic representations of these processes require ocean models to take on a variety of complicating factors such as complex shoreline geometry and bathymetry; strong baroclinic-barotropic coupling and deviation from hydrostasy; and turbulence, localized buoyancy, and mixing along sharp interfaces. Numerical modeling of coastal ocean flows, although successful, has typically been limited to individual phenomena and relatively narrow scales. More robust and high-fidelity ocean modeling requires novel numerical techniques incorporating all relevant physical scales with multiscale and multiphysics approaches. Computational methods such as adaptive mesh refinement, embedded boundaries, domain decomposition, and model integration have evolved over the last decade to address these complex issues. This session provides a forum to present such techniques, potentially operating together in ocean models, and discuss best practices. We invite contributions addressing theoretical and numerical problems, validation and benchmarking, data assimilation, and applications to idealized and realistic situations.
Primary Chair:  Alberto D Scotti, University of North Carolina at Chapel Hill, Marine Sciences, Chapel Hill, NC, United States
Co-chairs:  Hansong Tang, City College of New York, Department of Civil Engineering, New York, NY, United States, Jose Castillo, San Diego State University, Computational Science Research Center, San Diego, CA, United States and Edward Santilli, Philadelphia University, College of Health, Science and Liberal Arts, Philadelphia, PA, United States
Moderators:  Edward Santilli, Jefferson University, Philadelphia, PA, United States, Hansong Tang, CCNY, Department of Civil Engineering, New York, NY, United States and Jose Castillo, San Diego State University, Computational Science Research Center, San Diego, CA, United States
Student Paper Review Liaison:  Edward Santilli, Jefferson University, Philadelphia, PA, United States
Index Terms:

1906 Computational models, algorithms [INFORMATICS]
4534 Hydrodynamic modeling [OCEANOGRAPHY: PHYSICAL]
4546 Nearshore processes [OCEANOGRAPHY: PHYSICAL]
4568 Turbulence, diffusion, and mixing processes [OCEANOGRAPHY: PHYSICAL]

Abstracts Submitted to this Session:

An adaptive vertical coordinate for unstructured-grid, nonhydrostatic ocean modeling (322334)
Yun Zhang, Stanford University, Dept. of Civil and Environmental Engineering, Stanford, CA, United States, Sean Vitousek, University of Illinois at Chicago, Chicago, IL, United States and Oliver B Fringer, Stanford Univ-Civil/Envir Engg, Stanford, CA, United States
An Adaptive Mesh Cut Cell approach for Improved Bathymetry and Transport (306783)
Hans Johansen, Lawrence Berkeley National Lab, Berkeley, CA, United States
Scalable, Multi-Scale Methods for Computing Storm Surge Inundation (325850)
Kyle T Mandli, Columbia University of New York, Palisades, NY, United States and Jiao Li, Columbia University of New York, Applied Physics and Applied Mathematics, New York, NY, United States
Effect of Planetary Rotation on Oceanic Surface Boundary Layer Turbulence (319552)
Jinliang Liu1, Junhong Liang1, James C McWilliams2, Peter P Sullivan3, Yalin Fan4 and Qin Jim Chen5, (1)Louisiana State University, Department of Oceanography and Coastal Sciences, Baton Rouge, LA, United States, (2)UCLA, Los Angeles, CA, United States, (3)National Center for Atmospheric Research, Mesoscale Microscale Meteorology, Boulder, CO, United States, (4)US Naval Research Laboratory, Stennis Space Center, LA, United States, (5)Louisiana State Univeristy, Coastal Studies Institute, Baton Rouge, LA, United States
SOMAR-LES: Multiscale computational modeling framework for stratified flows (307113)
Vamsi Krishna Chalamalla, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, Edward Santilli, Jefferson University, Philadelphia, PA, United States, Alberto D Scotti, University of North Carolina at Chapel Hill, Marine Sciences, Chapel Hill, NC, United States and Sutanu Sarkar, Univ California at San Diego, La Jolla, CA, United States

See more of: Ocean Modeling