NSFGEO-NERC: Collaborative Research: Properties and Mechanisms of the Multiscale Eddy-Induced Diffusion

Lead Research Organisation: Imperial College London
Department Name: Mathematics

Abstract

Oceanic flows have been traditionally decomposed into two main components, "large-scale" and "mesoscale/small-scale" ("eddy"), which is in part motivated by the fact that most numerical ocean models under-resolve the eddy component. The eddy fluxes then have to be parameterized, and the most common approach is to use the flux-gradient relation with the eddy diffusivity (tensor) coefficient. The simplicity of this relation is appealing, but the main challenge lies in finding the appropriate diffusivity tensor, which varies with geographical location and depth (i.e., inhomogeneous) and time, and is direction-dependent (i.e., anisotropic), as evidenced by observation- and GCM-based estimates.
The overarching goal of the proposed study is to explore properties of the inhomogeneous and anisotropic eddy-induced transport at mid-latitudes, and to examine their importance for tracer distribution. The main hypotheses are that the eddy-induced transport can be succinctly quantified by a spatio-temporal map of the eddy diffusivity tensor, and that this complexity can be systematically reduced to its most essential properties. Specifically, we will objectively calculate and analyze the corresponding eddy-diffusivity tensor maps and explore the dependence in the results on the spatial and temporal scales. This diffusivity map will then be used to produce tracer distributions in flows that do not fully resolve the eddy-driven tracer advection, and the resulting skill will be quantified using relevant metrics. We will employ a hierarchy of eddy-resolving numerical simulations, real-ocean drifter trajectories and a wide range of scale-aware flow decompositions, as well as several novel methods for estimating and interpreting the eddy diffusivity tensors for both fundamental understanding and practical purposes. The study will capitalize on the synergy of existing intensive and efficient collaboration between the US and UK members of the research group.

Planned Impact

The lateral eddy transfer plays a fundamental role in the ocean's ability to transport heat, nutrients, carbon, pollutants and other important tracers. Thus, advances in understanding of the eddy-induced transport are needed for improvements in the climate prediction capabilities and environmental studies, ultimately leading to societal benefits. In addition to its oceanographic and climate-science importance, this study will have implications for fundamental fluid mechanics, planetary science and geophysics.
The project will have a significant educational component. A PhD student at the University of Miami will develop expertise in dynamics and kinematics of the eddying ocean. The project will produce funded PhD studentship at the Imperial College. Numerical simulations will be used in courses taught by IK at the University of Miami and PB at the Imperial College, to illustrate various regimes of turbulent flows and the importance of eddies in determining the distributions of heat, biogeochemical tracers and pollutants.

Publications

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Agarwal N (2021) A Comparison of Data-Driven Approaches to Build Low-Dimensional Ocean Models in Journal of Advances in Modeling Earth Systems

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Berloff P (2021) On dynamically unresolved oceanic mesoscale motions in Journal of Fluid Mechanics

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Davies J (2021) Linear stability analysis for flows over sinusoidal bottom topography in Journal of Fluid Mechanics

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Haigh M (2020) Tracer-based estimates of eddy-induced diffusivities in Deep Sea Research Part I: Oceanographic Research Papers

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Kamenkovich I (2021) Complexity of Mesoscale Eddy Diffusivity in the Ocean in Geophysical Research Letters

 
Description Transport of tracers in the ocean by 'eddies' is often parameterised via a diffusivity tensor. We have shown that the diffusivity is highly anisotropic and inhomogeneous, and that these factors should not be overlooked. Typically, eddies are defined as the deviation from the time-mean state, and diffusivities are then calculated from time-mean fluxes. We use a novel method that does not rely on this framework, so that the resulting diffusivity has time-dependence. A paper which gives a phenomenological overview of this diffusivity is currently in review. Two notable results are: (1) the instantaneous diffusivity tensor is not the same as the tensor calculated from time-mean fluxes, and (2) the diffusivity tensor typically exhibits eigenvalues of opposite sign. On (2), this represents filamentation of tracer concentration.

Follow-up papers, for which the research is in progress, will give more detailed analysis of the essential phsyics and statistics. For example, the diffusivity tensor obtained using our methods has a rich and complicated spatial dependence, which we are currently working to interpret more deeply. This will lead to highly novel understanding of eddy-induced mixing, since few previous studies have sought to describe properties of the full tensor diffusivity in terms of the large-scale flow features.
Exploitation Route The overarching motivation for this work is to improve representation of tracer transport in ocean models. We also hope that our output motivates other research groups to reconsider the way in which the diffusivity tensor is calculated and analysed. For example, we strongly argue that considering a time-dependent diffusivity tensor is essential, since the large-scale flow is always evolving. Similarly, we believe that the standard Reynolds method for defining eddy fields is less suitable than our filtering method.
Sectors Environment