Spurious Diapycnal Mixing Associated with Advection in a z-Coordinate Ocean Model
By S. Griffies, R. Pacanowski, Robert Hallberg. 2000
307 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/aa485ba58dbdc99d9cc88fca15e6014291edc62b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- S. Griffies
- Robert Hallberg
- S. Jayne
- M. Zelinka
- Stephen A. Klein
- John Marshall
- G. Halliwell
- J. Golaz
In Oceanography
- S. Jayne
- Robert Hallberg
- S. Griffies
- John Marshall
- Gokhan Danabasoglu
- G. Halliwell
- Raffaele Ferrari
- Dimitris Menemenlis
Citations in the corpus
- Fundamentals of Ocean Climate Models (2004, methodology): “Griffies et al. (2000a) reviews numerous PREFACE xxi studies illustrating this point.”
- Sensitivity of the Ocean State to the Vertical Distribution of Internal-Tide-Driven Mixing (2013, background): “The absence of spurious mixing associated with advection in the isopycnal coordinates (Griffies et al. 2000; Ilicak et al. 2012) facilitates study of the effects of changing the diapycnal mixing parameterization.”
- Using a resolution function to regulate parameterizations of oceanic mesoscale eddy effects (2013, background): “However, there are substantial ancillary benefits of using a Gent–McWilliams diffusivity in depth-coordinate B-grid ocean models: it suppresses the well-known checkerboard null mode in the density field, and it suppresses numerical diapycnal mixing arising from advective truncation errors arising fr”
- On the driving processes of the Atlantic meridional overturning circulation (2007, background): “Yet it can be of the same order as the explicitly applied diffusivity [Gerdes et al., 1991; Griffies et al., 2000; Hofmann and MoralesMaqueda, 2006], and it limits the ability to test the model’s behavior in the limit of very low diapycnal mixing [Toggweiler and Samuels, 1998].”
- Challenges and Prospects in Ocean Circulation Models (2019, background): “This approach can be sufficient for idealized model studies (Griffies et al., 2000; Hill et al., 2012); however, the accuracy of advection operators is degraded in limiting fluxes to avoid false tracer extrema in realistic models.”
- The Role of Eddies in Determining the Structure and Response of the Wind-Driven Southern Hemisphere Overturning: Results from the Modeling Eddies in the Southern Ocean (MESO) Project (2006, unknown): “The model captures the large-scale features in the data, including the high variability off of South Africa associated with the shedding of Agulhas eddies, the southward trend of variability associated with the Southern Drift of the ACC, the extension of the variability to the north around Campbell ”
- The Impact of Abyssal Mixing Parameterizations in an Ocean General Circulation Model (2009, background): “1 3 10(24) m(2) s(21) and will be larger in higher-resolution models (Griffies et al. 2000).”
- Can Large Eddy Simulation Techniques Improve Mesoscale Rich Ocean Models (2013, methodology): “Another way to get enhanced scale selectivity is to use a biharmonic viscosity as first suggested for oceanography by Holland [1978]. A biharmonic viscosity cuts off the energy or enstrophy flux more sharply in wavenumber, but at a cost.”
- The GFDL Global Ocean and Sea Ice Model OM4.0: Model Description and Simulation Features (2019, methodology): “The accumulation of tracer variance at the grid results from either maximizing the grid Reynolds number or by using a resolution that incompletely resolves those transient mesoscale eddies that are admitted (Griffies et al., 2000; Ilicak et al., 2012; Lee et al., 2002).”
- Tidally driven mixing in a numerical model of the ocean general circulation (2003, background): “In this study, mixing tensor rotation (Griffies et al., 2000) is essential.”
- The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution (2019, background): “Z coordinate models are known to experience spurious diapycnal mixing (e.g., Griffies et al., 2000), which could reduce AMOC strength.”
- GFDL's CM2 Global Coupled Climate Models. Part II: The Baseline Ocean Simulation (2006, background): “…impact on vertical exchange in level-coordinate models include numerical diffusion resulting from truncation errors associated with advection (Griffies et al. 2000), truncation errors associated with isopycnal mixing (Griffies et al. 1998), convective entrainment in overflows (Winton et al.…”