Time scales of submesoscale flow inferred from a mooring array

While the distribution of kinetic energy across spatial scales in the submesoscale range (1–100 km) has been estimated from observations, the associated time scales are largely unconstrained. These time scales can provide important insight into the dynamics of submesoscale turbulence because they he...

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Published in:Journal of Physical Oceanography
Main Authors: Callies, Jörn, Barkan, Roy, Garabato, Alberto Naveira
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://eprints.soton.ac.uk/440629/
https://eprints.soton.ac.uk/440629/1/jpo_d_19_0254.1.pdf
https://eprints.soton.ac.uk/440629/2/ms_acng.pdf
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spelling ftsouthampton:oai:eprints.soton.ac.uk:440629 2023-07-30T04:05:47+02:00 Time scales of submesoscale flow inferred from a mooring array Callies, Jörn Barkan, Roy Garabato, Alberto Naveira 2020-04 text https://eprints.soton.ac.uk/440629/ https://eprints.soton.ac.uk/440629/1/jpo_d_19_0254.1.pdf https://eprints.soton.ac.uk/440629/2/ms_acng.pdf en English eng https://eprints.soton.ac.uk/440629/1/jpo_d_19_0254.1.pdf https://eprints.soton.ac.uk/440629/2/ms_acng.pdf Callies, Jörn, Barkan, Roy and Garabato, Alberto Naveira (2020) Time scales of submesoscale flow inferred from a mooring array. Journal of Physical Oceanography, 50 (4), 1065-1086. (doi:10.1175/JPO-D-19-0254.1 <http://dx.doi.org/10.1175/JPO-D-19-0254.1>). other Article PeerReviewed 2020 ftsouthampton https://doi.org/10.1175/JPO-D-19-0254.1 2023-07-09T22:36:21Z While the distribution of kinetic energy across spatial scales in the submesoscale range (1–100 km) has been estimated from observations, the associated time scales are largely unconstrained. These time scales can provide important insight into the dynamics of submesoscale turbulence because they help quantify to what degree the flow is subinertial and thus constrained by Earth’s rotation. Here a mooring array is used to estimate these time scales in the northeast Atlantic. Frequency-resolved structure functions indicate that energetic wintertime submesoscale turbulence at spatial scales around 10 km evolves on time scales of about 1 day. While these time scales are comparable to the inertial period, the observed flow also displays characteristics of subinertial flow that is geostrophically balanced to leading order. An approximate Helmholtz decomposition shows the order 10-km flow to be dominated by its rotational component, and the root-mean-square Rossby number at these scales is estimated to be 0.3. This rotational dominance and Rossby numbers below one persist down to 2.6 km, the smallest spatial scale accessible by the mooring array, despite substantially superinertial Eulerian evolution. This indicates that the Lagrangian evolution of submesoscale turbulence is slower than the Eulerian time scale estimated from the moorings. The observations therefore suggest that, on average, submesoscale turbulence largely follows subinertial dynamics in the 1–100-km range, even if Doppler shifting produces superinertial Eulerian evolution. Ageostrophic motions become increasingly important for the evolution of submesoscale turbulence as the scale is reduced—the root-mean-square Rossby number reaches 0.5 at a spatial scale of 2.6 km. Article in Journal/Newspaper Northeast Atlantic University of Southampton: e-Prints Soton Journal of Physical Oceanography 50 4 1065 1086
institution Open Polar
collection University of Southampton: e-Prints Soton
op_collection_id ftsouthampton
language English
description While the distribution of kinetic energy across spatial scales in the submesoscale range (1–100 km) has been estimated from observations, the associated time scales are largely unconstrained. These time scales can provide important insight into the dynamics of submesoscale turbulence because they help quantify to what degree the flow is subinertial and thus constrained by Earth’s rotation. Here a mooring array is used to estimate these time scales in the northeast Atlantic. Frequency-resolved structure functions indicate that energetic wintertime submesoscale turbulence at spatial scales around 10 km evolves on time scales of about 1 day. While these time scales are comparable to the inertial period, the observed flow also displays characteristics of subinertial flow that is geostrophically balanced to leading order. An approximate Helmholtz decomposition shows the order 10-km flow to be dominated by its rotational component, and the root-mean-square Rossby number at these scales is estimated to be 0.3. This rotational dominance and Rossby numbers below one persist down to 2.6 km, the smallest spatial scale accessible by the mooring array, despite substantially superinertial Eulerian evolution. This indicates that the Lagrangian evolution of submesoscale turbulence is slower than the Eulerian time scale estimated from the moorings. The observations therefore suggest that, on average, submesoscale turbulence largely follows subinertial dynamics in the 1–100-km range, even if Doppler shifting produces superinertial Eulerian evolution. Ageostrophic motions become increasingly important for the evolution of submesoscale turbulence as the scale is reduced—the root-mean-square Rossby number reaches 0.5 at a spatial scale of 2.6 km.
format Article in Journal/Newspaper
author Callies, Jörn
Barkan, Roy
Garabato, Alberto Naveira
spellingShingle Callies, Jörn
Barkan, Roy
Garabato, Alberto Naveira
Time scales of submesoscale flow inferred from a mooring array
author_facet Callies, Jörn
Barkan, Roy
Garabato, Alberto Naveira
author_sort Callies, Jörn
title Time scales of submesoscale flow inferred from a mooring array
title_short Time scales of submesoscale flow inferred from a mooring array
title_full Time scales of submesoscale flow inferred from a mooring array
title_fullStr Time scales of submesoscale flow inferred from a mooring array
title_full_unstemmed Time scales of submesoscale flow inferred from a mooring array
title_sort time scales of submesoscale flow inferred from a mooring array
publishDate 2020
url https://eprints.soton.ac.uk/440629/
https://eprints.soton.ac.uk/440629/1/jpo_d_19_0254.1.pdf
https://eprints.soton.ac.uk/440629/2/ms_acng.pdf
genre Northeast Atlantic
genre_facet Northeast Atlantic
op_relation https://eprints.soton.ac.uk/440629/1/jpo_d_19_0254.1.pdf
https://eprints.soton.ac.uk/440629/2/ms_acng.pdf
Callies, Jörn, Barkan, Roy and Garabato, Alberto Naveira (2020) Time scales of submesoscale flow inferred from a mooring array. Journal of Physical Oceanography, 50 (4), 1065-1086. (doi:10.1175/JPO-D-19-0254.1 <http://dx.doi.org/10.1175/JPO-D-19-0254.1>).
op_rights other
op_doi https://doi.org/10.1175/JPO-D-19-0254.1
container_title Journal of Physical Oceanography
container_volume 50
container_issue 4
container_start_page 1065
op_container_end_page 1086
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