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R. Lueck, James Picklo (1990)
Thermal Inertia of Conductivity Cells: Observations with a Sea-Bird CellJournal of Atmospheric and Oceanic Technology, 7
P. Galbraith, D. Kelley (1996)
Identifying Overturns in CTD ProfilesJournal of Atmospheric and Oceanic Technology, 13
J. Piera, E. Roget, J. Catalán (2002)
Turbulent Patch Identification in Microstructure Profiles: A Method Based on Wavelet Denoising and Thorpe Displacement AnalysisJournal of Atmospheric and Oceanic Technology, 19
B. Ferron, H. Mercier, K. Speer, A. Gargett, K. Polzin (1998)
Mixing in the Romanche Fracture ZoneJournal of Physical Oceanography, 28
H. Tennekes, J. Lumley (1972)
A First Course in Turbulence
J. MacKinnon, K. Winters (2005)
Subtropical catastrophe: Significant loss of low‐mode tidal energy at 28.9°Geophysical Research Letters, 32
J. Nash, J. Moum (2002)
Microstructure Estimates of Turbulent Salinity Flux and the Dissipation Spectrum of SalinityJournal of Physical Oceanography, 32
J. Morison, R. Andersen, N. Larson, E. D’Asaro, T. Boyd (1994)
The Correction for Thermal-Lag Effects in Sea-Bird CTD DataJournal of Atmospheric and Oceanic Technology, 11
H. Johnson, C. Garrett (2004)
Effects of Noise on Thorpe Scales and Run LengthsJournal of Physical Oceanography, 34
A. Garabato, K. Polzin, B. King, K. Heywood, M. Visbeck (2004)
Widespread Intense Turbulent Mixing in the Southern OceanScience, 303
J. Dougherty (1961)
The anisotropy of turbulence at the meteor levelJournal of Atmospheric and Solar-Terrestrial Physics, 21
S. Thorpe (1977)
Turbulence and mixing in a Scottish LochPhilosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 286
A. Gargett, W. Merryfield, G. Holloway (2003)
Direct Numerical Simulation of Differential Scalar Diffusion in Three-Dimensional Stratified TurbulenceJournal of Physical Oceanography, 33
A. Gargett (2003)
Differential diffusion: an oceanographic primerProgress in Oceanography, 56
M. Nagasawa, T. Hibiya, Y. Niwa, Michio Watanabe, Y. Isoda, S. Takagi, Yoshihiko Kamei (2002)
Distribution of fine-scale shear in the deep waters of the North Pacific obtained using expendable current profilersJournal of Geophysical Research, 107
K. Polzin, Kevin Speer, J. Toole, Raymond Schmitt (1996)
Intense mixing of Antarctic Bottom Water in the equatorial Atlantic OceanNature, 380
K. Stansfield, C. Garrett, R. Dewey (2001)
The probability distribution of the Thorpe displacement within overturns in Juan de Fuca StraitJournal of Physical Oceanography, 31
M. Alford, R. Pinkel (2000)
Observations of Overturning in the Thermocline: The Context of Ocean MixingJournal of Physical Oceanography, 30
W. Ricker (1973)
Linear Regressions in Fishery ResearchWsq: Women's Studies Quarterly, 30
W. Merryfield (2002)
Intrusions in Double-Diffusively Stable Arctic Waters: Evidence for Differential Mixing?Journal of Physical Oceanography, 32
CTD measurements taken as an integral part of oceanographic cruises could provide valuable information on spatial locations and time variability of significant shear-generated mixing in the ocean interior if used routinely to calculate Thorpe scales, that is, estimates of the scales of vertical overturning in an otherwise stably stratified fluid. This paper outlines methods for calculating reliable Thorpe scales from density profiles taken with a shipborne CTD, including removal of questionable instabilities associated with termination of pressure reversals, reduction of the effects of density noise by computation of an intermediate density profile, and overturn verification by a two-parameter ( R o , ΔΔ N ) diagnostic. The R o criterion alone reliably removes overturns that result from salinity spikes at the high gradient boundaries of a weakly stratified layer, a common cause of highly suspect overturns. The ΔΔ N diagnostic is a new water mass test describing the degree of ““tightness”” of the temperature––salinity ( T –– S ) relationship. The present two-parameter diagnostic rejects a significantly larger percentage of suspect overturns than does a previous single-parameter water mass test. Despite developing a more reliable water mass diagnostic, the authors conclude that rejection of overturns based on a water mass test that incorporates expectation of T –– S tightness is not warranted, given possibilities of T –– S ““looseness”” resulting from mixing over regions of nonlinear T –– S structure and/or from potential effects of differential diffusion.
Journal of Atmospheric and Oceanic Technology – American Meteorological Society
Published: Nov 8, 2006
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