Estimating Eddy Stresses by Fitting Dynamics to Observations Using a Residual-Mean Ocean Circulation Model and Its Adjoint
By David Ferreira, John Marshall, Patrick Heimbach. 2005
188 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/35078df7d659aa84d74a22e0fa920635e24ac1a9
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
- Raffaele Ferrari
- Ryan Abernathey
- John Marshall
- Carl Wunsch
- James C. McWilliams
- Patrick Heimbach
- E. Shuckburgh
- K. Polzin
In Global and Planetary Change
- Raffaele Ferrari
- Ryan Abernathey
- John Marshall
- Patrick Heimbach
- James C. McWilliams
- K. Polzin
- Carl Wunsch
- David Ferreira
In Oceanography
- Raffaele Ferrari
- Ryan Abernathey
- John Marshall
- James C. McWilliams
- David Ferreira
- Carl Wunsch
- Patrick Heimbach
- K. Polzin
Citations in the corpus
- Global General Circulation of the Ocean Estimated by the ECCO-Consortium (2009, methodology): “In addition, many special experimental calculations have been done, for example, treating bottom topography as a control parameter (Losch and Heimbach, 2007), adjusting eddy stress coefficients (Ferreira et al., 2005) and mixing parameters (Stammer, 2005), and testing the consequences of assuming ne”
- Estimates and Implications of Surface Eddy Diffusivity in the Southern Ocean Derived from Tracer Transport (2006, background): “12 of Ferreira et al. 2005) and those inferred by an inverse calculation (Olbers and Visbeck 2005).”
- Variability of the Atlantic meridional overturning circulation in CCSM4 (2012, unknown): “…diffusivity coefficients used in the Gent and McWilliams (1990) isopycnal transport parameterization vary identically in the vertical following Ferreira et al. (2005) and Danabasoglu and Marshall (2007), with enhanced diffusivity values in the upper ocean and much smaller diffusivities at…”
- Enhancement of Mesoscale Eddy Stirring at Steering Levels in the Southern Ocean (2010, methodology): “We consider the streamwise- and time-averagemomentum balance of the large-scale flow through the transformedEulerianmean (TEM) zonalmomentum equation (see, e.g., Andrews et al. 1987; Ferreira et al. 2005):”
- Eddy stirring in the Southern Ocean (2011, background): “the vertical distribution, Ferreira et al. [2005] and Olbers and Visbeck [2005] report a surface intensification of the”
- The Dependence of Southern Ocean Meridional Overturning on Wind Stress (2011, background): “In the real ocean, in contrast, topographic form drag is believed to balance the wind stress (Munk and Palmén 1951; Johnson and Bryden 1989; Hughes 1997; Olbers 1998; Ferreira et al. 2005).”
- Parameterization of Eddy Fluxes near Oceanic Boundaries (2008, methodology): “These schemes can be extended to account more accurately for eddy momentum fluxes (Wardle and Marshall 2000; Smith and McWilliams 2003; Plumb and Ferrari 2005; Ferreira et al. 2005), but experience with these extensions in OGCMs is still limited.”
- The Flexible Global Ocean‐Atmosphere‐Land System Model Grid‐Point Version 3 (FGOALS‐g3): Description and Evaluation (2020, background): “In addition, the eddy‐induced mixing of Redi (1982) and Gent and McWilliams (1990), and the buoyancy frequency (N2) related thickness diffusivity of Ferreira et al. (2005), were added to the model.”
- Global Patterns of Mesoscale Eddy Properties and Diffusivities (2014, background): “…and eddy-resolving models has revealed strong spatial variability in mesoscale eddy mixing rates (Holloway 1986; Stammer 1998; Zhang et al. 2001; Zhurbas and Oh 2003, 2004; Ferreira et al. 2005; Marshall et al. 2006; Rypina et al. 2012; Fox-Kemper et al. 2013; Abernathey and Marshall 2013).”
- Dynamically and Kinematically Consistent Global Ocean Circulation and Ice State Estimates (2013, background): “…control variables (the adjustable parameters) to the initial conditions and the meteorological forcing, although following exploratory studies by Ferreira et al. (2005), Stammer (2005), and Liu et al. (2012), state estimates are becoming available that also adjust internal model parameters,…”