TY - JOUR
T1 - Toward a stochastic parameterization of ocean mesoscale eddies
AU - Porta Mana, Pier Gian Luca
AU - Zanna, Laure
N1 - Funding Information:
We thank James Maddison for helpful advice, and Tomos David for the MaxEnt fit computation. Many thanks to: Dave Munday, Fenwick Cooper, Andrew Majda, Raf Ferrari, Ray Pierrehumbert, Carl Wunsch, and Todd Ringler for very stimulating discussions. We would like to acknowledge Malte Jansen, Pavel Berloff and two anonymous reviewers for their constructive comments on the manuscript. PM thanks Mari, Miri, and Ruxi for warm encouragement. This work was funded by the John Fell Oxford University Press (OUP) Research Fund.
PY - 2014/7
Y1 - 2014/7
N2 - A stochastic parameterization of ocean mesoscale eddies is constructed in order to account for the fluctuations in subgrid transport and to represent upscale turbulent cascades. Eddy-resolving simulations to derive the parameterization are performed in a quasi-geostrophic (QG) model in a double-gyre configuration. The coarse-graining of the high-resolution model is giving rise to an eddy source term which represents the turbulent Reynolds stresses. The eddy source term, its mean and fluctuations are analyzed as function of the resolved scales and external parameters.A functional form of the resolved scales, based on a representation of turbulence as a non-Newtonian viscoelastic medium and including the rate of strain, is used to describe the eddy source term mean, variance and decorrelation timescale. Probability density functions (PDFs) of the eddy source term conditional on the resolved scales are then calculated, capturing the fluctuations associated with mesoscale eddies and their impact on the mean flow. Scalings for the mean, standard deviation, skewness, and kurtosis of the conditional PDFs are provided as function of the grid size, forcing, and stratification of the coarse-resolution model.In light of these scalings, no preliminary high-resolution (QG) model runs are necessary to diagnose the subgrid forcing and the implementation of a stochastic closure based on the conditional PDFs requires in principle very little tuning.
AB - A stochastic parameterization of ocean mesoscale eddies is constructed in order to account for the fluctuations in subgrid transport and to represent upscale turbulent cascades. Eddy-resolving simulations to derive the parameterization are performed in a quasi-geostrophic (QG) model in a double-gyre configuration. The coarse-graining of the high-resolution model is giving rise to an eddy source term which represents the turbulent Reynolds stresses. The eddy source term, its mean and fluctuations are analyzed as function of the resolved scales and external parameters.A functional form of the resolved scales, based on a representation of turbulence as a non-Newtonian viscoelastic medium and including the rate of strain, is used to describe the eddy source term mean, variance and decorrelation timescale. Probability density functions (PDFs) of the eddy source term conditional on the resolved scales are then calculated, capturing the fluctuations associated with mesoscale eddies and their impact on the mean flow. Scalings for the mean, standard deviation, skewness, and kurtosis of the conditional PDFs are provided as function of the grid size, forcing, and stratification of the coarse-resolution model.In light of these scalings, no preliminary high-resolution (QG) model runs are necessary to diagnose the subgrid forcing and the implementation of a stochastic closure based on the conditional PDFs requires in principle very little tuning.
KW - Eddy backscatter
KW - Mesoscale eddies
KW - Stochastic parametrization
KW - Sub-grid scale fluctuations
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U2 - 10.1016/j.ocemod.2014.04.002
DO - 10.1016/j.ocemod.2014.04.002
M3 - Article
AN - SCOPUS:84900804533
SN - 1463-5003
VL - 79
SP - 1
EP - 20
JO - Ocean Modelling
JF - Ocean Modelling
ER -