Dynamics of Global Ocean Heat Transport Variability

Abstract

A state-of-the-art, high-resolution ocean general circulation model is used to estimate the time-dependent global ocean heat transport and investigate its dynamics. Globally, the cross-equatorial, seasonal heat transport fluctuations are close to +/- 4.5 x 10(exp 15) watts, the same amplitude as the seasonal, cross-equatorial atmospheric energy transport. The majority of it is due to wind-induced current fluctuations in which the time-varying wind drives Ekman layer mass transports that are compensated by depth-independent return flows. The temperature difference between the mass transports gives rise to the time-dependent heat transport. The rectified eddy heat transport is calculated from the model. It is weak in the central gyres, and strong in the western boundary currents, the Antarctic Circumpolar Current, and the equatorial region. It is largely confined to the upper 1000 meters of the ocean. The rotational component of the eddy heat transport is strong in the oceanic jets, while the divergent component is strongest in the equatorial region and Antarctic Circumpolar Current. The method of estimating the eddy beat transport from an eddy diffusivity derived from mixing length arguments and altimetry data, and the climatological temperature field, is tested and shown not to reproduce the model's directly evaluated eddy heat transport.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1999
Accession Number
ADA369166

Entities

People

  • Steven R. Jayne

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Angular Momentum
  • Atlantic Ocean
  • Climate Change
  • Computational Science
  • Energy Bands
  • Geography
  • Grids
  • Gulf Stream
  • Heat Balance
  • Ocean Currents
  • Oceanography
  • Oceans
  • Sea Water
  • Standing Waves
  • Temperature Gradients
  • Three Dimensional
  • Topography

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Atmospheric Science/Meteorology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers