4.3 Article

Seasonal oceanic variability on meso- and submesoscales: a turbulence perspective

Journal

OCEAN DYNAMICS
Volume 71, Issue 4, Pages 475-489

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s10236-021-01444-1

Keywords

92; 10; ak Eddies and mesoscale processes; 92; 10; Ei Coriolis effects; 92; 10; Lq Turbulence; diffusion; and mixing processes in oceanography

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The seasonal variability of upper ocean on meso- and submesoscales is investigated using the quasi-normal scale elimination theory. The theory shows a bi-component structure in the velocity spectra, with the amplitudes determined by Coriolis parameter and energy flux. The theoretical results align well with observational data and demonstrate changes in the bi-component structure and seasonal variability.
Seasonal variability of the upper ocean on meso- and submesoscales is investigated in the framework of the quasi-normal scale elimination theory, or QNSE. The longitudinal and transverse velocity spectra in this theory have a bi-component structure comprised of the Coriolis and Kolmogorov-like branches that are identified with meso- and submesoscales, respectively. For the former, spectral amplitudes are determined by the Coriolis parameter, f, while for the latter, the amplitudes are quantified in terms of the energy flux, pi(epsilon), proceeding from larger to smaller scales. This flux can be identified with the effective submesoscale dissipation. The Kolmogorov and Coriolis subranges are delineated at a length scale L-c that marks a crossover between the respective spectra. The theoretical spectra agree well with those obtained in many observational campaigns. In phase with the seasonal variations of the intensities of instabilities and turbulence, the magnitudes of pi(epsilon) and L-c increase in winter and decrease in summer. Mirroring these changes, the bi-component structure of the kinetic energy spectra changes with seasons and renders meaningless the characterization of their seasonal variability in terms of a single slope. The theoretical results are validated against the data collected in Oleander, LatMix and North-Western Pacific observations.

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