Theoretical and Numerical Studies of Variability and Predictability in an Unsteady Ocean

Abstract

Our long-term goals are to understand the nature of variability within the ocean, in particular that due to the motion of mesoscale eddies and their interaction with and dependence on the general circulation. Our particular objectives are to understand the nature and predictability of mesoscale eddies in the ocean. This includes the mechanisms of their equilibration, their structure and energetics, and their dependence on the large-scale parameters set by the general circulation. Our approach is to use a hierarchy of numerical and analytic models of the ocean circulation, of varying complexity. At the simplest level are linear quasi-geostrophic models of baroclinic instability. At the next level are nonlinear, eddy resolving quasi-geostrophic models in idealized domains. Finally, we employ eddy resolving primitive equation models in fairly realistic configuration and domain. We have completed a sequence of integrations using a quasigeostrophic model to explore the equilibration properties of mesoscale eddies, with oceanically realistic stratification. In collaboration with GFDL scientists we have configured two primitive equation numerical models to perform eddy resolving integrations of the Southern Ocean, and some preliminary experiments have been performed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2000
Accession Number
ADA609805

Entities

People

  • Geoffrey K. Vallis

Organizations

  • Princeton University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Diffusion
  • Equations
  • Hierarchies
  • Information Operations
  • Instability
  • Measurement
  • Ocean Currents
  • Oceans
  • Scientists
  • Sequences
  • Simulations
  • Southern Ocean
  • Stratification
  • Teamwork

Fields of Study

  • Environmental science

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers