Representation of Eddies in Climate Models by a Potential Vorticity Flux.

Abstract

This thesis addresses the parameterization of the heat and momentum transporting properties of eddy motions for use in primitive equation climate models. The approach is to transform the primitive equations to yield the altered transformed Eulerian mean' (TEM) equations. Further, the assumption is made that the eddy motions obey quasigeostrophic dynamics. This yields a framework in which the eddies appear as one term, acting as a body force in the momentum equations. This force manifests itself as a flux of potential vorticity (PV) - a quantity that incorporates both eddy momentum and heat transporting properties. Moreover, the dynamic velocities are those of the residual mean circulation, a much more relevant velocity for understanding heat and tracer transport. Closure for the eddy PV flux is achieved through a flux-gradient relationship, directing it down the large scale PV gradient. The approach is investigated through numerical experiments, which compare a parameterized model with eddy-resolving calculaflons. The results show that the correct momentum transfer, particularly the up gradient, lateral momentum transfer by eddies, is captured in the parameterized model. This approach to parameterization provides a powerful conceptual and practical framework for representing eddies in numerical models of the atmosphere and ocean.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1999
Accession Number
ADA369290

Entities

People

  • Richard M. Wardle

Organizations

  • Woods Hole Oceanographic Institution

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Boundary Layer
  • Buoyancy
  • Climate Change
  • Coordinate Systems
  • Fluid Dynamics
  • Geography
  • Grids
  • Gulf Stream
  • Isotherms
  • Ocean Currents
  • Oceanography
  • Ridges
  • Standing Waves
  • Stratified Fluids
  • Temperature Gradients
  • Topography
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Fluid Dynamics.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers