A14A:
Computational Oceanography: New Knowledge, Capabilities, and Challenges Posters


Session ID#: 9951

Session Description:
Oceanographic processes are highly complex and often strongly coupled across temporal and spatial scales. In addition, many of these processes are tightly coupled to other climate components, like the atmosphere or cryosphere. Continuing developments in software paradigms and hardware infrastructures make it possible to address these processes at increasingly higher resolutions, with more complex physics, or with approaches that are complementary to traditional forward-in-time models.

For this session we invite contributions that address any aspect of computational oceanography. We invite presentations that describe 1) computational-centric investigations that enhance knowledge of these processes through discovery of previously unseen effects or enhanced analysis capabilities (e.g., Grand Challenge computations); 2) advances in numerical paradigms and parameterizations (e.g., time stepping and implicit methods; spatial discretizations; new parameterizations of unresolved processes); 3) advances in hardware paradigms (e.g., HPC or graphics-processor (GPGPU) implementations; new enabling hardware, such as programmable accelerators or newer GPGPUs; hardware-centric programming models); 4) advances in uncertainty estimation and visualization.

Primary Chair:  Wilbert Weijer, Los Alamos National Laboratory, Los Alamos, NM, United States
Chairs:  Paul A Elmore, US Naval Research Laboratory, Stennis Space Center, MS, United States, Mark R Petersen, Los Alamos National Laboratory, Los Alamos, NM, United States and Omer Khan, University of Connecticut, Electrical and Computer Engineering, Storrs, CT, United States
Moderators:  Wilbert Weijer1, Paul A Elmore2, Mark R Petersen1 and Omer Khan3, (1)Los Alamos National Laboratory, Los Alamos, NM, United States(2)US Naval Research Laboratory, Stennis Space Center, MS, United States(3)University of Connecticut, Electrical and Computer Engineering, Storrs, CT, United States
Student Paper Review Liaison:  Wilbert Weijer, Los Alamos National Laboratory, Los Alamos, NM, United States
Index Terms:

1932 High-performance computing [INFORMATICS]
1990 Uncertainty [INFORMATICS]
4247 Marine meteorology [OCEANOGRAPHY: GENERAL]
4263 Ocean predictability and prediction [OCEANOGRAPHY: GENERAL]
Co-Sponsor(s):
  • TE - Tropical and Equatorial Environments

Abstracts Submitted to this Session:

 
Delft3D Sensitivity and Uncertainty Snalysis for Hurricane Simulations in the North Atlantic (88002)
Luis A Bastidas, James Knighton, Shaun W Kline and Justin Pistininzi, ENERCON Services Inc., Pittsburgh, PA, United States
 
Overflow Simulations using MPAS-Ocean in Idealized and Realistic Domains (63866)
Shanon Reckinger, Fairfield University, Fairfield, CT, United States, Mark R Petersen, Los Alamos National Laboratory, Los Alamos, NM, United States and Scott James Reckinger, Brown University, Department of Earth, Environmental, and Planetary Sciences, Providence, RI, United States
 
Ocean-Ice Shelf Interactions in the Accelerated Climate Model for Energy (ACME) (91372)
Mark R Petersen1, Xylar Asay-Davis2, Todd D. Ringler1, Douglas Jacobsen1, Stephen F Price1 and Jeremy Garmeson Fyke1, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Potsdam Institute for Climate Impact Research, Earth System Analysis, Potsdam, Germany
 
A Conservative High-Order Characteristic Discontinuous Galerkin Advection Scheme for MPAS-Ocean (61107)
Dave R Lee1, Mark R Petersen2, Rob Lowrie2, Todd D. Ringler1 and William Lipscomb2, (1)Los Alamos National Laboratory, Climate, Ocean and Sea-Ice Modelling, Los Alamos, NM, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States
 
Comparison of different tracer advection schemes and estimation of their numerical mixing properties (88263)
Tarandeep Singh Kalra1, John C Warner1, W Rockwell Geyer2 and David K Ralston3, (1)USGS Coastal and Marine Science Center Woods Hole, Woods Hole, MA, United States, (2)Woods Hole Oceanographic Institution, Department of Applied Ocean Physics and Engineering, Woods Hole, MA, United States, (3)Woods Hole Oceanographic Institution, Applied Ocean Physics and Engineering, Woods Hole, MA, United States
 
A New Family of Compact High Order Coupled Time-Space Unconditionally Stable Vertical Advection Schemes (88482)
Florian Lemarié and Laurent Debreu, INRIA Rhône-Alpes, Grenoble, France
 
A positive-definite, down-gradient implementation of neutral diffusion (89763)
Alistair Adcroft1, Robert Hallberg2 and Stephen Matthew Griffies2, (1)Princeton University, Atmospheric and Oceanic Sciences, Princeton, NJ, United States, (2)Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
 
Alternate Function Bases for Global Scale Spectral General Circulation Models (89354)
Nathan Paldor, Hebrew University of Jerusalem, Jerusalem, Israel
 
Mesoscale Ocean Large Eddy Simulations Using High-resolution Ocean Models (90630)
Brodie Pearson1, Baylor Fox-Kemper1, Scott Bachman2, Frank Bryan3 and David A Bailey3, (1)Brown University, Providence, RI, United States, (2)University of Cambridge, Cambridge, United Kingdom, (3)National Center for Atmospheric Research, Boulder, CO, United States
 
Super parameterization of ocean dynamics for tracer transport models (91586)
Clement Bricaud1, Julien Le Sommer2, Gurvan Madec3, Christophe Calone4, Jerome Chanut5, Christian Ethe6 and Coralie Perruche1, (1)Mercator-Ocean, Ramonville Saint-Agne, France, (2)CNRS, IGE, Grenoble, France, (3)Sorbonne Universités (UPMC, Univ Paris 06)-CNRS-IRD-MNHN, LOCEAN Laboratory, IPSL, Paris, France, (4)CNRS, LGGE, Grenoble, France, (5)Mercator Ocean, Ramonville St Agne, France, (6)Institut Pierre Simon Laplace, LOCEAN/CNRS, Paris, France
 
Design and analysis of a global sub-mesoscale and tidal dynamics admitting virtual ocean. (93286)
Christopher N Hill, MIT, MA and Dimitris Menemenlis, Jet Propulsion Laboratory, Pasadena, CA, United States
 
Evaluation of the Accuracy of an Offline Seasonally-Varying Matrix Transport Model for Simulating Ideal Age (91212)
Francois Primeau1, Ann M Bardin1 and Keith T Lindsay2, (1)University of California Irvine, Irvine, CA, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States
 
Application of a Newton-Krylov Solver to Spin-up Biogeochemical Tracers (92643)
Keith T Lindsay, National Center for Atmospheric Research, Boulder, CO, United States