4.6 Article

Nonlinear Cascades of Surface Oceanic Geostrophic Kinetic Energy in the Frequency Domain

期刊

JOURNAL OF PHYSICAL OCEANOGRAPHY
卷 42, 期 9, 页码 1577-1600

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/JPO-D-11-0151.1

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资金

  1. Office of Naval Research [N00014-11-1-0487, 601153N]
  2. National Science Foundation (NSF) [OCE-09607820]
  3. University of Michigan faculty startup funds
  4. NSF [OCE-0960834, OCE-0851457, OCE-0960826]
  5. project Global and remote littoral forcing in global ocean models
  6. project Ageostrophic vorticity dynamics of the ocean
  7. Directorate For Geosciences
  8. Division Of Ocean Sciences [0851457, 0960826, 0960834] Funding Source: National Science Foundation
  9. Division Of Ocean Sciences
  10. Directorate For Geosciences [0960820] Funding Source: National Science Foundation

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Motivated by the ubiquity of time series in oceanic data, the relative lack of studies of geostrophic turbulence in the frequency domain, and the interest in quantifying the contributions of intrinsic nonlinearities to oceanic frequency spectra, this paper examines the spectra and spectral fluxes of surface oceanic geostrophic flows in the frequency domain. Spectra and spectral fluxes are computed from idealized two-layer quasigeostrophic (QG) turbulence models and realistic ocean general circulation models, as well as from gridded satellite altimeter data. The frequency spectra of the variance of streamfunction (akin to sea surface height) and of geostrophic velocity are qualitatively similar in all of these, with substantial variance extending out to low frequencies. The spectral flux Pi(omega) of kinetic energy in the frequency omega domain for the QG model documents a tendency for nonlinearity to drive energy toward longer periods, in like manner to the inverse cascade toward larger length scales documented in calculations of the spectral flux Pi(k) in the wavenumber k domain. Computations of Pi(omega) in the realistic model also display an inverse temporal cascade. In satellite altimeter data, some regions are dominated by an inverse temporal cascade, whereas others exhibit a forward temporal cascade. However, calculations performed with temporally and/or spatially filtered output from the models demonstrate that Pi(omega) values are highly susceptible to the smoothing inherent in the construction of gridded altimeter products. Therefore, at present it is difficult to say whether the forward temporal cascades seen in some regions in altimeter data represent physics that is missing in the models studied here or merely sampling artifacts.

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