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A new observationally motivated Richardson number based mixing parametrization for oceanic mesoscale flow

A new observationally motivated Richardson number based mixing parametrization for oceanic mesoscale flow
A new observationally motivated Richardson number based mixing parametrization for oceanic mesoscale flow
Ocean models require subgrid-scale parametrizations of vertical mixing expressed in terms of a quantity that is easily diagnosable from model output, such as the Richardson number. To date parametrizing mixing for low (<1) Richardson number flows, such as the Equatorial Undercurrent, has received the most attention. Here a new Richardson number parametrization is proposed that provides estimates of vertical turbulent diffusivity in the high Richardson number stratified shear flow that is associated with mesoscale ocean features such as eddies and fronts. This parametrization is based on direct observations of vertical turbulent diffusivity from three separate ocean regions in the North Atlantic and Southern Ocean and is found to be robust for values of the Richardson number greater than 1 at depths below the ocean surface boundary layer. The new parametrization gives substantially improved agreement with the observed mixing in the presence of mesoscale ocean features compared to existing Richardson number parametrizations.
Richardson number parametrization, vertical turbulent mixing, mesoscale
2169-9275
1405-1419
Forryan, Alexander
4e753ae9-7f12-495f-933a-2c5a1f554a0e
Martin, Adrian P.
9d0d480d-9b3c-44c2-aafe-bb980ed98a6d
Srokosz, Meric A.
1e0442ce-679f-43f2-8fe4-9a0f0174d483
Popova, Ekaterina E.
3ea572bd-f37d-4777-894b-b0d86f735820
Painter, Stuart C.
29e32f35-4ee8-4654-b305-4dbe5a312295
Renner, Angelika H. H.
d9e50967-7919-44cb-81e7-73a77111caec
Forryan, Alexander
4e753ae9-7f12-495f-933a-2c5a1f554a0e
Martin, Adrian P.
9d0d480d-9b3c-44c2-aafe-bb980ed98a6d
Srokosz, Meric A.
1e0442ce-679f-43f2-8fe4-9a0f0174d483
Popova, Ekaterina E.
3ea572bd-f37d-4777-894b-b0d86f735820
Painter, Stuart C.
29e32f35-4ee8-4654-b305-4dbe5a312295
Renner, Angelika H. H.
d9e50967-7919-44cb-81e7-73a77111caec

Forryan, Alexander, Martin, Adrian P., Srokosz, Meric A., Popova, Ekaterina E., Painter, Stuart C. and Renner, Angelika H. H. (2013) A new observationally motivated Richardson number based mixing parametrization for oceanic mesoscale flow. Journal of Geophysical Research: Oceans, 118 (3), 1405-1419. (doi:10.1002/jgrc.20108).

Record type: Article

Abstract

Ocean models require subgrid-scale parametrizations of vertical mixing expressed in terms of a quantity that is easily diagnosable from model output, such as the Richardson number. To date parametrizing mixing for low (<1) Richardson number flows, such as the Equatorial Undercurrent, has received the most attention. Here a new Richardson number parametrization is proposed that provides estimates of vertical turbulent diffusivity in the high Richardson number stratified shear flow that is associated with mesoscale ocean features such as eddies and fronts. This parametrization is based on direct observations of vertical turbulent diffusivity from three separate ocean regions in the North Atlantic and Southern Ocean and is found to be robust for values of the Richardson number greater than 1 at depths below the ocean surface boundary layer. The new parametrization gives substantially improved agreement with the observed mixing in the presence of mesoscale ocean features compared to existing Richardson number parametrizations.

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More information

Published date: March 2013
Keywords: Richardson number parametrization, vertical turbulent mixing, mesoscale
Organisations: Marine Systems Modelling, Marine Biogeochemistry, Physical Oceanography, Marine Physics and Ocean Climate

Identifiers

Local EPrints ID: 352453
URI: http://eprints.soton.ac.uk/id/eprint/352453
ISSN: 2169-9275
PURE UUID: fa806e0a-c982-444c-8635-cc907c6701b7

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Date deposited: 14 May 2013 10:47
Last modified: 14 Mar 2024 13:52

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Contributors

Author: Alexander Forryan
Author: Adrian P. Martin
Author: Meric A. Srokosz
Author: Ekaterina E. Popova
Author: Stuart C. Painter
Author: Angelika H. H. Renner

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