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 Temperature statistics above a deep-ocean sloping boundaryCimatoribus, A.A.; van Haren, H. (2015). Temperature statistics above a deep-ocean sloping boundary. J. Fluid Mech. 775: 415-435. dx.doi.org/10.1017/jfm.2015.295 In: Journal of Fluid Mechanics. Cambridge University Press: London. ISSN 0022-1120, more

 Available in Authors NIOZ: NIOZ files 276396 NIOZ: NIOZ Open Repository - preprints 283174 [ download pdf ]

 Author keywords geophysical and geological flows; internal waves; stratified turbulence

 Authors Top Cimatoribus, A.A., more van Haren, H., more

 Abstract We present a detailed analysis of temperature statistics in an oceanographic observational dataset. The data are collected using a moored array of thermistors, $100~\text{m}$100 m tall and starting $5~\text{m}$5 m above the bottom, deployed during four months above the slopes of a Seamount in the north-eastern Atlantic Ocean. Turbulence at this location is strongly affected by the semidiurnal tidal wave. Mean stratification is stable in the entire dataset. We compute structure functions, of order up to 10, of the distributions of temperature increments. Strong intermittency is observed, in particular, during the downslope phase of the tide, and farther from the solid bottom. In the lower half of the mooring during the upslope phase, the temperature statistics are consistent with those of a passive scalar. In the upper half of the mooring, the temperature statistics deviate from those of a passive scalar, and evidence of turbulent convective activity is found. The downslope phase is generally thought to be more shear-dominated, but our results suggest on the other hand that convective activity is present. High-order moments also show that the turbulence scaling behaviour breaks at a well-defined scale (of the order of the buoyancy length scale), which is however dependent on the flow state (tidal phase, height above the bottom). At larger scales, wave motions are dominant. We suggest that our results could provide an important reference for laboratory and numerical studies of mixing in geophysical flows.

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