Correlation-based flow decomposition and statistical analysis of the eddy forcing
File(s)
Author(s)
Agarwal, Niraj
Ryzhov, Eugene
Kondrashov, Dmitri
Berloff, Pavel
Type
Journal Article
Abstract
We present a comprehensive study of the mesoscale eddy forcing in the ocean by proposing spatially local filtering of the high-resolution double-gyre ocean circulation solution into its large- and small-scale (eddy) components. The large-scale component is dominated by the mid-latitude gyres, the western boundary currents and their highly transient eastward jet extension; the eddy component is concentrated around the eastward jet and strongly interacts with it. The proposed decomposition method achieves flow filtering based on the local spatial correlations. This is different from the existing decomposition methods, e.g. classical Reynolds decomposition and moving-average (spatial) filtering with a constant filter size based on the first baroclinic Rossby deformation radius. Next, we characterize the dynamical impacts of the resulting eddy forcing on the large-scale flow in terms of their mutual time-lagged spatial correlations, formulated as product integral characteristics. Its temporal statistics uncover robust causality between the eddy forcing and the induced large-scale potential vorticity anomalies – referred to as the eddy backscatter. The results also prove the significance of the transient eddy forcing and the time lag dependence of the eddy backscatter. We argue that these properties are to be considered by eddy parametrization schemes. We further used the decomposed eddy fields to augment a coarse-resolution ocean model. The augmented solution statistically reproduces the missing eastward jet extension, enhances the eddy activities around it and recovers the essential large-scale low-frequency variability. This justifies a reduced-order statistical emulation of the eddies – an emerging methodology for including eddy effects in non-eddy-resolving ocean models.
Date Issued
2021-10-10
Date Acceptance
2021-06-23
Citation
Journal of Fluid Mechanics, 2021, 924, pp.1-30
ISSN
0022-1120
Publisher
Cambridge University Press
Start Page
1
End Page
30
Journal / Book Title
Journal of Fluid Mechanics
Volume
924
Copyright Statement
© The Author(s), 2021. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Sponsor
Natural Environment Research Council (NERC)
The Leverhulme Trust
Natural Environment Research Council (NERC)
Natural Environment Research Council (NERC)
Identifier
https://www.cambridge.org/core/journals/journal-of-fluid-mechanics/article/correlationbased-flow-decomposition-and-statistical-analysis-of-the-eddy-forcing/74735065A1FAF581E427B9090DA9B946
Grant Number
NE/R011567/1
RPG-2019-024
NE/T002220/1
EP/V520354/1
Subjects
Science & Technology
Technology
Physical Sciences
Mechanics
Physics, Fluids & Plasmas
Physics
ocean circulation
quasi-geostrophic flows
ocean processes
LOW-FREQUENCY VARIABILITY
STOCHASTIC BACKSCATTER
OCEAN
PARAMETERIZATION
VISCOSITY
TURBULENT
DYNAMICS
Fluids & Plasmas
01 Mathematical Sciences
09 Engineering
Publication Status
Published
Date Publish Online
2021-08-04