DO010
Numerical and Computational Challenges in the Development of Ocean Models and their Coupling to Earth System Components

Session ID#: 256420

Session Description:
Ocean models are a fundamental tool in Ocean Sciences. They are applied across various spatial and temporal scales and at different levels of complexity. This session invites contributions that address recent advances in numerical techniques, formulations of the dynamical core, turbulence closure through parameterizations, and the integration of machine learning approaches. We also welcome studies on methods for seamless coupling across the scales and consistent coupling with the atmosphere, waves, sea ice, and biogeochemistry. Contributions exploring coupling problems between Earth system components where one of the components is replaced by an emulator are highly encouraged. In addition, we foster contributions that focus on parameter calibration, sensitivity analysis, and uncertainty quantification. These aspects are critical for improving the predictive skill, robustness, and interpretability of model outputs.  Finally, contributions highlighting design principles for the next-generation ocean models on GPU and exascale supercomputers are also welcome.
Co-Sponsor(s):
  • Climate and Ocean Change -
  • Physical Oceanography: Mesoscale and Larger -
  • Physical Oceanography: Mesoscale and Smaller -
Index Terms:

1906 Computational models, algorithms [INFORMATICS]
4255 Numerical modeling [OCEANOGRAPHY: GENERAL]
4263 Ocean predictability and prediction [OCEANOGRAPHY: GENERAL]
4532 General circulation [OCEANOGRAPHY: PHYSICAL]
Student/Early Career Chair:  Carolin Mehlmann, Otto-von-Guericke-Universitaet Magdeburg, Applied Mathematics and Computational Physics, Magdeburg, Germany
Primary Chair:  Knut Klingbeil, Leibniz Institute for Baltic Sea Research Warnemuende (IOW), Rostock, Germany
Co-chairs:  Ana Barbosa Aguiar, Met Office, Exeter, United Kingdom, Florian Lemarié, Univ. Grenoble Alpes, Inria, Grenoble, France and Vera Sidorenko, Alfred Wegener Institute Bremerhaven, Bremen, Germany
 
Machine learning strategies for the emulation of ice-shelf ocean cavity dynamics (1946935)
Julie Limonet1, Louis-Alexandre Couston1 and Julián Tachella2, (1)ENS de Lyon, Laboratoire de Physique, Lyon, France, (2)ENS Lyon, Laboratoire de physique, Lyon, France
 
Evaluating multi-source uncertainties in marine biogeochemical modelling: a case study on the Eco3M-Med model (1948336)
Yutong Zhang1, Melika Baklouti1 and Pierre Brasseur2, (1)Aix Marseille University, Marseille Cedex 03, France, (2)University Grenoble Alpes, Grenoble, France
 
Designing an Efficient Multi-GPU Coastal Ocean Model (2005416)
Miguel De Le Court, Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-La-Neuve, Belgium, Vincent Legat, Université Catholique de Louvain, Louvain La Neuve, Belgium and Jonathan Lambrechts, Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium
 
PISCES-AI: Using Machine Learning to Predict Chlorophyll and Carbon Flux at Multiple Temporal Resolutions (2006979)
Edward Gow-Smith and Roland Séférian, CNRM, Université de Toulouse, Météo-France/CNRS, Toulouse, France
 
Towards Ocean System Models to Address Marine Challenges (2011380)
Corinne Le Quere1, Lionel Guidi2, Laurent Bopp3, Philip W Boyd4, B. B. Cael5, Matthew J Church6, Damien Eveillard7, Stephanie Henson8, Joe K Guest1, Olivier Jaillon9, Fabien Lombard2, Louis Legendre10, MarieFanny Racault1, Simon Ramondenc11, Matt Sullivan12, Dominic Orchard13, Alessandro Tagliabue14, Thelma Panaïotis8, Philip Townsend1, Meike Vogt15 and Rui Zhang16, (1)University of East Anglia, School of Environmental Sciences, Norwich, United Kingdom, (2)Laboratoire d'Océanographie de Villefranche (LOV), UMR 7093, Sorbonne Université, Villefranche-sur-Mer, France, (3)LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France, (4)Institute for Marine and Antarctic Sciences, University of Tasmania, Hobart, TAS, Australia, (5)University of Chicago, Chicago, IL, United States, (6)University of Montana, Flathead Lake Biological Station, Polson, United States, (7)Nantes Université, Centrale Nantes, CNRS, LS2N, 2 rue de la Houssinière, 44322 Nantes, France., Nantes, France, (8)National Oceanography Centre, Southampton, United Kingdom, (9)Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université d'Evry, Université Paris-Saclay, Evry, France, (10)Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, Villefranche-sur-mer, France, (11)Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, UMR 7093 LOV, Villefranche-sur-Mer, France, (12)The Ohio State University, Department of Microbiology, Columbus, United States, (13)Institute of Computing for Climate Science at the University of Cambridge, Cambridge, United Kingdom, (14)University of Liverpool, Department of Earth, Ocean and Ecological Sciences, Liverpool, United Kingdom, (15)Environmental Physics, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, Zurich, Switzerland, (16)Shenzhen University, Institude for Advanced Study, Shenzhen, China
 
From triangles to turbulence: generalizable data-driven advection discretization for Earth System Models (2013437)
Antoine-Alexis Nasser, Princeton University, Princeton, United States and Alistair Adcroft, Program for Atmospheric and Oceanic Sciences, Princeton University, Princeton, United States
 
The contribution of improved boundary layer parameterizations to the fidelity of NOAA/GFDL’s OM5 global ocean and cryosphere model (2013734)
Brandon G Reichl, NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, United States, Robert Hallberg, NOAA Geophysical Fluid Dynamics Laboratory, Princeton, United States, Mitchell Bushuk, NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, John P Krasting, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States and Olga V Sergienko, Princeton University, Program in Atmospheric and Oceanic Sciences, Princeton, NJ, United States
 
On the orientation of the diffusivity tensor and its impact on spurious diapycnal mixing and dense overflow representation in SLIM3D (2013806)
Mattias Van Eetvelt1, Florian De Bel2, Miguel De Le Court3, Jonathan Lambrechts2 and Emmanuel Hanert1, (1)Earth and Life Institute, UCLouvain, Louvain-la-Neuve, Belgium, (2)Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium, (3)Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-La-Neuve, Belgium
 
Advances in dynamic cores of the next generation LICOM ocean model (2014865)
Leshan Meng1,2, Bo An1, Zhiyuan Li1,2, XI Chen1 and Yongqiang Yu1,2, (1)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (2)University of Chinese Academy of Sciences, Beijing, China
 
Mimetic Differential Formalism for Discrete Flow Models, Invariants Preservation and Singular Limits (2015236)
Antoine Leblond and Peter Korn, Max Planck Institute for Meteorology, Hamburg, Germany
 
Implicit energetics reimplementation of stratified shear mixing with application in NOAA/GFDL’s OM5 global ocean and cryosphere model (2015947)
Robert Hallberg, NOAA Geophysical Fluid Dynamics Laboratory, Princeton, United States and Brandon G Reichl, Princeton University/NOAA GFDL, Princeton, United States
 
Mass-flux Convection Parameterization: Energetic Consistency and Uncertainty Quantification (2017211)
Manolis Perrot, UNITED STATES, Benjamin Zanger, Inria, Grenoble, France, Florian Lemarié, Univ. Grenoble Alpes, Inria, Grenoble, France and Thomas Dubos, Laboratoire de Météorologie Dynamique Palaiseau, Palaiseau Cedex, France
 
Ocean Mesoscale Eddies in High-resolution Coupled Climate Models (2017904)
Stella Bērziņa, ETH Zurich, Zurich, Switzerland, Malcolm J Roberts, Met Office Hadley center for Climate Change, Exeter, United Kingdom, Aaron Wienkers, ETH Zürich, Zürich, Switzerland, Nicolas Gruber, Environmental Physics, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, Zurich, Switzerland and Matthias Munnich, ETH Zurich Swiss Federal Institute of Technology Zurich, Zurich, SWITZERLAND
 
The next-generation ACCESS-OM3 global ocean-sea ice configurations for CMIP7 and beyond (2017907)
Christopher Bull1, Wilton Aguiar2, Pearse Buchanan3, Martin Dix4, Andrew M Hogg5, Jemma Jeffree6, Andrew E Kiss7, Micael Oliveira6, Ezhilsabareesh Kannadasan4, Luwei Yang8, Claire Yung9, Minghang Li4, Helen Macdonald10, Siobhan O’Farrell11, Manodeep Sinha12, Dougal Squire13 and Edward Yang12, (1)Department of Geography and Environmental Sciences, Northumbria University, Newcastle Upon Tyne, United Kingdom, (2)Universidade Federal do Rio Grande, Rio Grande-RS, Brazil, (3)CSIRO Marine and Atmospheric Research Hobart, Hobart, Australia, (4)Australia’s Climate Simulator (ACCESS-NRI), Australian National University, Canberra, Australia, Melbourne, Australia, (5)Australian National University and ARC Centre of Excellence for Climate Extremes, ACCESS-NRI, Canberra, ACT, Australia, (6)Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia, (7)Australian National University, Canberra, ACT, Australia, (8)University of Tasmania, Institute for Marine and Antarctic Studies, Hobart, TAS, Australia, (9)Australian National University and Australian Centre for Excellence in Antarctic Science, Canberra, ACT, Australia, (10)Australia’s Climate Simulator (ACCESS-NRI), Australian National University, Canberra, Australia, Can, Australia, (11)CSIRO Environment, Aspendale, Victoria, Australia, Aspendale, Australia, (12)Australia’s Climate Simulator (ACCESS-NRI), Australian National University, Canberra, Australia, Melb, Australia, (13)Australia’s Climate Simulator (ACCESS-NRI), Australian National University, Canberra, Australia, Canberra, Australia
 
Coupling hydrostatic and nonhydrostatic ocean circulation models (2018329)
Pierre Lozano1, Eric Blayo1 and Laurent Debreu2, (1)Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France, (2)Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France
 
Optimal vertical grid design for a proper representation of internal gravity waves in ocean models (2022895)
Gabriel Derrida1, Laurent Debreu2, Florian Lemarié1 and Jérome Chanut3, (1)Univ. Grenoble Alpes, Inria, Grenoble, France, (2)Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France, (3)Mercator Océan, Ramonville-Saint-Agne, France
 
Quantifying Coupling Errors in Atmosphere-Ocean-Sea Ice Models: A Study of Iterative and Non-Iterative Approaches in the EC-Earth AOSCM (2023477)
Florian Lemarié1, Valentina Schüller2, Eric Blayo3 and Philipp Birken2, (1)Univ. Grenoble Alpes, Inria, Grenoble, France, (2)Lund University, Lund, Sweden, (3)Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France
 
Anisotropic generation and propagation in an internal tide mixing parametrization (2024605)
Friederike Pollmann1, Carsten Eden2, Dirk Olbers1 and Zhongxiang Zhao3,4, (1)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Bremerhaven, Germany, (2)University of Hamburg, Institute of Oceanography, Hamburg, Germany, (3)University of Washington, (4)Applied Physics Laboratory University of Washington, Seattle, United States
 
Advances in the CliMA global ocean and cryosphere model (2025976)
Simone Silvestri1, Gregory LeClaire Wagner1, Navid Constantinou2, Jean-Michel Campin3, Taimoor Sohail2, Raffaele Ferrari4 and CliMA-Ocean, (1)Massachusetts Institute of Technology, Cambridge, United States, (2)University of Melbourne, School of Geography, Earth and Atmospheric Science, Parkville, VIC, Australia, (3)M.I.T./EAPS, Cambridge, United States, (4)MIT, Boston, United States
 
The Eddy-Diffusivity Mass-Flux (EDMF) parameterization: An appropriate representation of convective and diffusive mixing in global ocean models (2026480)
Herve Giordani1, Violaine Piton2 and Romain Bourdalle-Badie2, (1)Météo-France/CNRM/CNRS, UMR-3589, Toulouse, France, (2)Mercator Ocean International, Toulouse, France
 
Vertical moving mesh strategies for an accurate representation of internal seiches: Application to the thermocline of Lake Tanganyika (2026817)
Florian De Bel1, Jonathan Lambrechts1 and Vincent Legat2, (1)Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium, (2)Université Catholique de Louvain, Louvain La Neuve, Belgium
 
Coupling E3SM to a GPU-enabled regional ocean model (2028594)
Emma Shie Nuss1, Rob Hetland1, Vijay Mahadevan2, Iulian Grindeanu2, Kyle Hinson3, Ann Almgren4 and Hannah Klion4, (1)Pacific Northwest National Laboratory, Richland, United States, (2)Argonne National Laboratory, Chicago, United States, (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)Lawrence Berkeley National Laboratory, Berkeley, United States
 
The Ocean Component of CESM3: Key Advancements, Challenges, and Coupled Model Evaluation (2029235)
Gustavo M Marques1, Ian Grooms2, Frank Bryan3, Alper Altuntas4, Gokhan Danabasoglu3, Kristen M. Krumhardt5, William Large6, Keith T Lindsay6 and Michael Levy3, (1)National Center for Atmospheric Research, Climate and Global Dynamics, Boulder, CO, United States, (2)University of Colorado at Boulder, Applied Mathematics, Boulder, United States, (3)National Center for Atmospheric Research, Climate and Global Dynamics, Boulder, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)NCAR, Boulder, United States, (6)NCAR, Boulder, CO, United States
 
Modelling Galway Bay, Ireland, with strong tides, river outflow, and high resolution curvilinear grid (2029788)
Alexander Shchepetkin, University of Galway, School of Engineering, Galway, Ireland, Tomasz Dabrowski, Marine Institute, Galway, Ireland, Niall Madden, University of Galway, School of Mathematical and Statistical Sciences, Galway, Ireland and Agnieszka Indiana Olbert, National University of Ireland Galway, College of Science and Engineering, Ryan Institute, Galway, Ireland
 
Effects of Horizontal Discretization on the Representation of Linear Baroclinic and Symmetric Instabilities on Triangular and Hexagonal Grids (2030573)
Steffen Maass, Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Climate Dynamics, Bremerhaven, Germany and Sergey Danilov, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
 
Impact of wind stress formulation on Gulf Stream pathway and variability (2030593)
Eric Chassignet, Organization Not Listed, Washington, DC, United States; Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, United States, Xiaobiao Xu, Florida State University, Center for Ocean-Atmospheric Prediction Studies, Tallahassee, FL, United States, H. Thomas Rossby, University of Rhode Island, Graduate School of Oceanography, Narragansett, United States and Kathleen A Donohue, Univ Rhode Island, Narragansett, United States
 
Initialization of ocean models : an overlooked challenge ? (2031066)
Julie Deshayes1, Etienne Meunier2, David Kamm3 and Guillaume Gachon1, (1)Institut Pierre Simon Laplace, LOCEAN, Paris, France, (2)INRIA, Paris, France, (3)LOCEAN, Paris Cedex 05, France
 
Simulating Internal Tide-Generated Mixing with a Nonhydrostatic Free-Surface Ocean Model (2031433)
Shriya Fruitwala, California Institute of Technology, Pasadena, United States, Gregory Wagner, Massachusetts Institute of Technology, Cambridge, United States and Jörn Callies, California Institute of Technology, Pasadena, CA, United States
 
A Simple Formula for Numerical Mixing in Finite Volume Ocean Models (2033817)
Jan D Zika, University of New South Wales, School of Mathematics and Statistics, Sydney, NSW, Australia, Josef Bisits, University of New South Wales, Centre for Marine Science Institute, Sydney, Australia, Henri F Drake, University of California Irvine, Earth System Science, Irvine, United States, Ryan Holmes, Bureau of Meteorology, Sydney, Australia, Stephen Matthew Griffies, Princeton University, Princeton, United States, Andrew M Hogg, Australian National University and ARC Centre of Excellence for Climate Extremes, ACCESS-NRI, Canberra, ACT, Australia and Angus Gibson, Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia
 
neXtSIM-DG – A next-generation discontinuous Galerkin sea ice model (2034437)
Einar Olason1, Timothy Spain1, Thomas Richter2, Tom Meltzer3, Joe Wallwork3, Robert Jendersie2, Aurélie Albert4 and Guillaume Boutin1, (1)Nansen Environmental and Remote Sensing Center, Bergen, Norway, (2)Otto-von-Guericke- Universität, Magdeburg, Germany, (3)Cambridge University, Cambridge, United Kingdom, (4)Université Grenoble Alpes, Grenoble, France
 
From Ocean Spin-up Acceleration to Biogeochemical Perspectives in Earth System Modelling (2035209)
Alessandro Sozza1, Paolo Davini1 and Susanna Corti2, (1)CNR Institute of Atmospheric Sciences and Climate, Torino, Italy, (2)CNR, Institute of Atmospheric Sciences and Climate, Bologna, Italy
 
Diagnosing Numerical Mixing in the Global Finite-volumE Sea-Ice Ocean Model (FESOM2) Using Discrete Variance Decay (2036943)
Patrick Scholz, Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Climate Sciences, Bremerhaven, Germany, Sergey Danilov, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany, Tridib Banerjee, Goethe University Frankfurt, Geosciences and Geography, Frankfurt am Main, Germany and Knut Klingbeil, Leibniz Institute for Baltic Sea Research Warnemuende (IOW), Rostock, Germany
 
Identifying numerical instabilities: Leveraging neural networks for numerical noise detection (2037203)
Stephan Juricke and Hannah Melzer, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
 
Refactorization of the dynamical core of the sea ice model CICE for improved performance on CPU and GPU (2038384)
Till Andreas Soya Rasmussen1, Jacob Poulsen2, Mads Hvid Ribergaard1, Ruchira Sasanka2, Anthony Craig3, Elizabeth Clare Hunke4 and Stefan Rethmeier1, (1)Danish Meteorological Institute, København Ø, Denmark, (2)Intel Corporation, Santa Clara, United States, (3)Naval Postgraduate School, Monterey, United States, (4)Los Alamos National Laboratory, Los Alamos, United States
 
Implicit Discontinuous Galerkin Method for Sharp Wet-Dry Interface Tracking in Shallow Water Equations using the eXtreme Mesh Deformation Approach (X-MESH) (2038392)
Illy Perl1, Jonathan Lambrechts2, Alexandre Chemin3, Nicolas Moës3 and jean-Francois jean-FrancoiS.remacle@uclouvaiN.be3, (1)UNITED STATES, (2)Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium, (3)Université catholique de Louvain, Louvain-la-Neuve, Belgium
 
Development of a high-resolution triple-nested NEMO configuration for operational estuarine and harbour forecasting (2041000)
David Gregg, Newcastle University, Tyne and Wear, United Kingdom, Miguel Angel Morales Maqueda, Newcastle University, School of Natural and Environmental Sciences, Newcastle upon Tyne, United Kingdom, Christopher Jones, UK Hydrographic Office, Taunton, United Kingdom and Nigel T Penna, School of Engineering, Newcastle University, Newcastle Upon Tyne, United Kingdom
 
The Lorenz Energy Cycle Across Different Mesh Resolutions in FESOM (2043069)
Dmitry Sidorenko1, Alexey Koldunov1, Sergey Danilov1, Nikolay Koldunov2 and Patrick Scholz1, (1)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Bremerhaven, Germany, (2)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Bremen, Germany
 
Implementation of a Simple Runoff Mapper in the IFS+FESOM Configuration (2043195)
Vera Fofonova, Dmitry Sidorenko, Jan Streffing and Bruna De Ramos, Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research, Bremerhaven, Germany
 
Community guidance for new users in building regional ocean NEMO configurations (2044160)
Jeff Polton1, James Harle2, Jason T Holt3, Anna Katavouta3, Dale Partridge4, Enda O'Dea5, Pierre Mathiot6, Diego Bruciaferri7, Alex Arnold8 and Katherine Hutchinson9, (1)National Oceanography Center, Liverpool, United Kingdom, (2)National Oceanography Centre, Southampton, United Kingdom, (3)National Oceanography Centre, Liverpool, United Kingdom, (4)Plymouth Marine Laboratory, Plymouth, United Kingdom, (5)Met Eireann, Dublin, Ireland, (6)CNRS - Institut des Géosciences de l'Environnement, Saint-Martin-d'Heres, France, (7)Met Office Hadley center for Climate Change, Exeter, United Kingdom, (8)Met Office Hadley Centre for Climate Change, Exeter, United Kingdom, (9)LOCEAN-IPSL, Sorbonne University, Paris, France
 
User interface in climate models and how it transforms climate research and teaching (2046617)
Navid Constantinou1, Gregory Wagner2, Simone Silvestri2, Ali Ramadhan3, Jean-Michel Campin4, Christopher N Hill5, Tomas Chor6, Jago Strong-Wright7, Xin Kai Lee2, Francis Poulin8, Andre Souza9, Keaton J Burns10, John C Marshall5 and Raffaele Ferrari9, (1)University of Melbourne, School of Geography, Earth and Atmospheric Science, Parkville, VIC, Australia, (2)Massachusetts Institute of Technology, Cambridge, United States, (3)atdepth MRV, Boston, United States, (4)M.I.T./EAPS, Cambridge, United States, (5)MIT, Cambridge, United States, (6)University of Maryland, College Park, United States, (7)University of Cambridge, DAMTP, Cambridge, United Kingdom, (8)University of Waterloo, Waterloo, Canada, (9)MIT, Boston, United States, (10)Massachusetts Institute of Technology, Cambridge, MA, United States
 
Adaptive mesh refinement in the REMORA ocean model (2046813)
Robert D Hetland1, Hannah Klion2, Emma Shie Nuss3, Kyle Hinson1 and Ann Almgren2, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, United States, (3)University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, United States
 
Implementing Regional Mode in ICON-O Ocean Model: Status, Work in Pogress and Future Prospects (2048397)
Alija Bevrnja1, Günther Zängl1, Roland Potthast1, Helmuth Haak2, Leonidas Linardakis2 and Peter Korn2, (1)Deutscher Wetterdienst (DWD), Offenbach am Main, Germany, (2)Max Planck Institute for Meteorology, Hamburg, Germany
 
Adaptive Hydrostatic-Nohydrostatic Hybridizable Discontinuous Galerkin Ocean Solver (2048420)
Aditya Karthik Saravanakumar1, Christopher Mirabito1, Patrick J Haley Jr1 and Pierre F J Lermusiaux2, (1)Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, United States, (2)Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA, United States
See more of: Digital Ocean
<< Previous Session Proposal | Next Session Proposal >>