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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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 |
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Open Polar |
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University of Southampton: e-Prints Soton |
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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 |
_version_ |
1772817935024259072 |