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Published April 2020 | Published
Journal Article Open

Time Scales of Submesoscale Flow Inferred from a Mooring Array

Abstract

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.

Additional Information

© 2020 American Meteorological Society. (Manuscript received 24 October 2019, in final form 19 January 2020) The OSMOSIS project was funded by grants from the Natural Environmental Research Council (NE/1019999/1 and NE/101993X/1). We thank Andrew Thompson for providing us with the glider data used in Fig. 2c. JC was partially supported by NSF Grant OCE-1924354. RB was supported by ONR-N000141812697, NSF Grant OCE-1851397, and Israeli Science foundation Grant 1736/18. ACNG acknowledges the support of the Royal Society and the Wolfson Foundation.

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