A multi-resolution approach to global ocean modeling

By Todd D. Ringler, Mark R. Petersen, Robert L. Higdon, D. Jacobsen, Philip W. Jones, Mathew E. Maltrud. 2013

376 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/d5e994db117d85e64602238aa7f0cba055267ad1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Stephen A. Klein
2. M. Zelinka
3. S. Griffies
4. Martin Losch
5. Robert Hallberg
6. Peter M. Caldwell
7. J. Gregory
8. Gokhan Danabasoglu

In Global and Planetary Change

1. Stephen A. Klein
2. M. Zelinka
3. S. Griffies
4. Robert Hallberg
5. Peter M. Caldwell
6. J. Gregory
7. J. Golaz
8. K. Taylor

In Oceanography

1. S. Griffies
2. Robert Hallberg
3. Gokhan Danabasoglu
4. Martin Losch
5. B. Fox‐Kemper
6. Johann Jungclaus
7. Helmuth Haak
8. John Marshall

Citations in the corpus

• Challenges and Prospects in Ocean Circulation Models (2019, background): “In contrast, EVD models use the continuity equation to diagnose the velocity crossing the coordinate surfaces, with examples being the z−coordinate models of Bryan (1969), Cox (1984), and Pacanowski et al. (1991) and successors (Smith et al., 2010); σ−coordinate models like Haidvogel et al. (2008), ”
• OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project (2016, methodology): “For example, the unstructured finite volume module of Ringler et al. (2013) makes use of tools detailed in Ullrich and Taylor (2015) for both scalars and vectors (Todd Ringler, personal communication, 2016).”
• The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution (2019, methodology): “Ocean and sea ice components in E3SMv1 are based on the Model for Prediction Across Scales (MPAS; Petersen et al., 2019; Ringler et al., 2013).”
• Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate (2015, background): “The implementation of such an approach in climate modeling has become possible with the recent emergence of a new generation of global multiresolution ocean models that employ unstructured meshes (e.g., Danilov et al. 2004; Wang et al. 2008; Ringler et al. 2013).”
• The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution (2019, methodology): “MPAS-Ocean uses a mimetic finite volume discretization of the primitive equations and invokes the hydrostatic, incompressible, and Boussinesq approximations on a staggered C-grid (Arakawa & Lamb, 1977; Ringler et al., 2013; Thuburn et al., 2009).”