2016
DOI: 10.1002/2015gl067384
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Stationary mesoscale eddies, upgradient eddy fluxes, and the anisotropy of eddy diffusivity

Abstract: The mesoscale eddies of which parameterization is needed in coarse‐resolution ocean models include not only the transient eddies akin to baroclinic instability but also the stationary eddies associated with topography. By applying a modified Lorenz‐type decomposition to the eddy‐permitting Southern Ocean State Estimate, we show that the stationary mesoscale eddies contribute a significant part to the total eddy kinetic energy, eddy enstrophy, and the total eddy‐induced isopycnal thickness and potential vortici… Show more

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Cited by 21 publications
(42 citation statements)
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“…Using the tracer‐based least‐square estimation approach of Lu et al . [], one would be able to estimate eddy diffusivities using velocity and temperature observations from KESS. Our work provides mixing estimates in the two states in a much larger spatial domain.…”
Section: Discussionmentioning
confidence: 99%
“…Using the tracer‐based least‐square estimation approach of Lu et al . [], one would be able to estimate eddy diffusivities using velocity and temperature observations from KESS. Our work provides mixing estimates in the two states in a much larger spatial domain.…”
Section: Discussionmentioning
confidence: 99%
“…However, the flux direction in the heat flux time series changed when the shape of the eddy changed. Upgradient heat flux zones have been associated with stabilization points in the mean flow [ Waterman et al ., ; Waterman and Jayne , ; Lu et al ., ]. The negative heat flux values that were observed at the top of the promontory matched the location where the eddy decayed, which suggests that the topographic destabilization of transient eddies may enhance the California Current and California Undercurrent at this location.…”
Section: Discussionmentioning
confidence: 99%
“…Considering that the ageostrophic velocity component of the mesoscale eddies in gradient‐wind balance, or by cyclogeostrophic effect (Penven et al, ), can also be contained in utrue→a, a high‐pass filter is used to eliminate this balanced ageostrophic component in utrue→a. Constrained by the Lagrangian drifter observation, only temporal filter rather than temporal‐spatial filter (Lu et al, ) can be used. As the typical time scale of the oceanic submesoscale processes is about 1–10 days, the cutoff period of our high‐pass filter is set to 7 days, which is longer than most of the unbalanced submesoscale ageostrophic motions and, at the same time, substantially shorter than the typical evolution time scale of mesoscale eddies (see supporting information Text S3 for sensitivity of this cutoff period).…”
Section: Methodsmentioning
confidence: 99%
“…a . Constrained by the Lagrangian drifter observation, only temporal filter rather than temporal-spatial filter (Lu et al, 2016) can be used. As the typical time scale of the oceanic submesoscale processes is about 1-10 days, the cutoff period of our high-pass filter is set to 7 days, which is longer than most of the unbalanced submesoscale ageostrophic motions and, at the same time, substantially shorter than the typical evolution time scale of mesoscale eddies (see supporting information Text S3 for sensitivity of this cutoff period).…”
Section: Ageostrophic Kinetic Energymentioning
confidence: 99%