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Turbulent mixing efficiency at an energetic ocean site
Author(s) -
Bluteau C. E.,
Jones N. L.,
Ivey G. N.
Publication year - 2013
Publication title -
journal of geophysical research: oceans
Language(s) - English
Resource type - Journals
eISSN - 2169-9291
pISSN - 2169-9275
DOI - 10.1002/jgrc.20292
Subject(s) - turbulence , richardson number , turbulence kinetic energy , reynolds number , physics , mixing (physics) , stratification (seeds) , mechanics , turbulent diffusion , kinetic energy , kolmogorov microscales , thermodynamics , meteorology , classical mechanics , k omega turbulence model , seed dormancy , germination , botany , dormancy , biology , quantum mechanics
The unsteady and inhomogeneous forcing of the stratified ocean leads to highly variable turbulent temperature and velocity fields, both in space and time, complicating the characterization of mixing from field measurements. Mixing rates are often inferred indirectly from measurements of turbulent kinetic energy dissipation ϵ via Osborn's modelK ρ =R f1 − R fϵ N 2( N is the background stratification) by assuming the flux Richardson number R f = 0.17 is constant, despite continued debate on its relevance for environmental flows. From high‐frequency velocity measurements, we estimate ϵ within meters of the continental slope and compute K ρ with three different models, which we compare to the turbulent diffusivity for heat K T derived from colocated temperature measurements. We also infer R f by equating Osborn's relationship for K ρ to our estimated K T . Applying Osborn's model with a fixed R f = 0.17 overpredicted mixing rates by more than an order of magnitude. The other two models, which reduce the mixing efficiency with increasing magnitude of the ratio of the Ozmidov length scale L O to the Kolmogorov length scale η, fared better than Osborn's fixed model. The best agreement (within a factor of 2) was with a model derived from laboratory experiments, at much lower turbulent Reynolds numbers Re T than our measurements, but covering a wide range of the ratio of L O /η. However, our observations correlated more strongly with the turbulent Re T than with L O /η, likely because the Re T measures the “true” separation between the largest and smallest turbulent overturns. Mixing rate predictions improved when the Re T was used instead of L O /η.