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Katherine McCaffrey, Baylor Fox-Kemper, and Gael Forget

quality control is done on all profiles at one of the national data centers, and though an incorrect or missing calibration could skew the statistics computed here, they are assumed to be correct ( Carval et al. 2011 ). In processing the data, we relied on the Argo delayed-mode procedures for checking sensor drifts and offsets in salinity and made use of the Argo quality flags. Density was computed for each Argo temperature/salinity profile, which was then interpolated to standard density levels, ~24

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Juan A. Saenz, Rémi Tailleux, Edward D. Butler, Graham O. Hughes, and Kevin I. C. Oliver

1. Introduction The global kinetic energy (KE) budget plays a key role in ocean energetics, for it is often the natural starting point for discussing how the ocean circulation is forced and dissipated. In its standard form, the kinetic energy budget reveals that kinetic energy is primarily controlled by 1) the power input due to the wind forcing and tidal forcing, 2) viscous dissipation, and 3) the net conversion between potential energy (PE) and kinetic energy ( Gregory and Tailleux 2011 ). Of

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Carlowen A. Smith, Kevin G. Speer, and Ross W. Griffiths

able to quantify eddy mean–flow interaction and unambiguously demonstrate nonlocal spectral transfer ( Wordsworth et al. 2008 ). It should be noted that although careful control of the depth gradient is desirable, a rigid top may result in the reduction of eddy kinetic energies (suggested by Maher 2010 ); therefore, we employ only a sloping bottom and a free surface. We have conducted a series of laboratory experiments to investigate jet formation in a thermally driven system. By using a

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