Comparing isopycnal eddy diffusivities in the Southern Ocean with predictions from linear theory

We show that the potential vorticity diffusivity predicted by linear stability analysis (LSA), is the same as a linearized version of Lagrangian cross stream isopycnal diffusivity. Both can be written in terms of the same expression the product of the eddy kinetic energy (EKE) and the integral time...

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Published in:Ocean Modelling
Main Authors: Griesel, A., Eden, C., Koopmann, N., Yulaeva, E.
Format: Article in Journal/Newspaper
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/11858/00-001M-0000-002D-CF15-3
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spelling ftpubman:oai:pure.mpg.de:item_2472876 2023-08-20T04:09:56+02:00 Comparing isopycnal eddy diffusivities in the Southern Ocean with predictions from linear theory Griesel, A. Eden, C. Koopmann, N. Yulaeva, E. 2015 http://hdl.handle.net/11858/00-001M-0000-002D-CF15-3 eng eng info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ocemod.2015.08.001 http://hdl.handle.net/11858/00-001M-0000-002D-CF15-3 Ocean Modelling info:eu-repo/semantics/article 2015 ftpubman https://doi.org/10.1016/j.ocemod.2015.08.001 2023-08-01T23:00:40Z We show that the potential vorticity diffusivity predicted by linear stability analysis (LSA), is the same as a linearized version of Lagrangian cross stream isopycnal diffusivity. Both can be written in terms of the same expression the product of the eddy kinetic energy (EKE) and the integral time scale that involves the Lagrangian decay scale gamma or the growth rate omega(i) of the most unstable wave, and a frequency that is related to the difference of the mean flow speed and real part of the phase speed of the unstable waves. Diffusivities from LSA are compared to Lagrangian isopycnal eddy diffusivities estimated from more than 700,000 numerical particles in the Southern Ocean of an eddying model. They show different spatial dependency. LSA predicts eddy diffusivities that are enhanced at the steering level where the mean flow speed equals the phase speed of the unstable waves. In contrast, Lagrangian diffusivities exhibit no clear steering level maxima, but are instead surface intensified in many places. The differences between the Lagrangian and diffusivities from LSA can be understood because EKE predicted from LSA differs from the simulated one, and because the estimated decay scale gamma is On average about 4 times larger than the largest linear growth rate. The diagnosed Lagrangian integral time scale has maxima at the depth where the mean flow speed equals the phase speed of the most unstable wave, but the diffusivity maxima are shifted towards the surface because the simulated EKE decreases rapidly with depth. Possibilities for a simple parameterization for the diffusivity are discussed. (C) 2015 Elsevier Ltd. All rights reserved. Article in Journal/Newspaper Southern Ocean Max Planck Society: MPG.PuRe Southern Ocean Ocean Modelling 94 33 45
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language English
description We show that the potential vorticity diffusivity predicted by linear stability analysis (LSA), is the same as a linearized version of Lagrangian cross stream isopycnal diffusivity. Both can be written in terms of the same expression the product of the eddy kinetic energy (EKE) and the integral time scale that involves the Lagrangian decay scale gamma or the growth rate omega(i) of the most unstable wave, and a frequency that is related to the difference of the mean flow speed and real part of the phase speed of the unstable waves. Diffusivities from LSA are compared to Lagrangian isopycnal eddy diffusivities estimated from more than 700,000 numerical particles in the Southern Ocean of an eddying model. They show different spatial dependency. LSA predicts eddy diffusivities that are enhanced at the steering level where the mean flow speed equals the phase speed of the unstable waves. In contrast, Lagrangian diffusivities exhibit no clear steering level maxima, but are instead surface intensified in many places. The differences between the Lagrangian and diffusivities from LSA can be understood because EKE predicted from LSA differs from the simulated one, and because the estimated decay scale gamma is On average about 4 times larger than the largest linear growth rate. The diagnosed Lagrangian integral time scale has maxima at the depth where the mean flow speed equals the phase speed of the most unstable wave, but the diffusivity maxima are shifted towards the surface because the simulated EKE decreases rapidly with depth. Possibilities for a simple parameterization for the diffusivity are discussed. (C) 2015 Elsevier Ltd. All rights reserved.
format Article in Journal/Newspaper
author Griesel, A.
Eden, C.
Koopmann, N.
Yulaeva, E.
spellingShingle Griesel, A.
Eden, C.
Koopmann, N.
Yulaeva, E.
Comparing isopycnal eddy diffusivities in the Southern Ocean with predictions from linear theory
author_facet Griesel, A.
Eden, C.
Koopmann, N.
Yulaeva, E.
author_sort Griesel, A.
title Comparing isopycnal eddy diffusivities in the Southern Ocean with predictions from linear theory
title_short Comparing isopycnal eddy diffusivities in the Southern Ocean with predictions from linear theory
title_full Comparing isopycnal eddy diffusivities in the Southern Ocean with predictions from linear theory
title_fullStr Comparing isopycnal eddy diffusivities in the Southern Ocean with predictions from linear theory
title_full_unstemmed Comparing isopycnal eddy diffusivities in the Southern Ocean with predictions from linear theory
title_sort comparing isopycnal eddy diffusivities in the southern ocean with predictions from linear theory
publishDate 2015
url http://hdl.handle.net/11858/00-001M-0000-002D-CF15-3
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_source Ocean Modelling
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ocemod.2015.08.001
http://hdl.handle.net/11858/00-001M-0000-002D-CF15-3
op_doi https://doi.org/10.1016/j.ocemod.2015.08.001
container_title Ocean Modelling
container_volume 94
container_start_page 33
op_container_end_page 45
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