Assessment of Mesoscale Eddy Parameterizations for Coarse Resolution Ocean Models

Abstract

This thesis examines the role of eddies in a 105-year-long basin scale eddy resolving simulation with the MIT GCM. It evaluates the Fickian, the Green-Stone and the Gent-McWilliams parameterizations in a diagnostic study and a series of coarse resolution experiments. The mesoscale eddies in the reference experiment provide a significant contribution to the thermal balance. Specifically designed diagnostic tests show that the horizontal and vertical components of the parameterized flux are not simultaneously downgradient to the eddy heat flux. The transfer vectors are more closely aligned with the isopycnal surfaces for deeper layers. The magnitude of the coefficients is consistent with traditionally used values. However, the eddy heat flux is identified as a complicated process that cannot be fully explained with any of the parameterizations considered. Coarse resolution experiments demonstrate that Fickian diffusion has the least skill in the climatological simulations. The GS and GM schemes perform better. Comparison of the eddy heat flux divergence with the parameterized divergences for typical parameter values demonstrates that the success of the schemes in the climatological simulation is not related to the representation of the eddy heat flux but to the representation of the mixing processes.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA376658

Entities

People

  • Mikhail A. Solovev

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Atmospheric Temperature
  • Climate Change
  • Computational Science
  • Convection
  • Coordinate Systems
  • Data Acquisition
  • Data Sets
  • Diffusion Coefficient
  • Grids
  • Isotherms
  • Mixing
  • Oceanography
  • Oceans
  • Stratified Fluids
  • Temperature Gradients
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Groundwater Contamination Remediation.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers