Thermodynamic Air/Ocean Feedback Mechanisms in the Equatorial Pacific

Abstract

The occurrence of the El Nino Southern Oscillation (ENSO) has been studied from numerous air-ocean interaction aspects, yielding theories implying a positive-only correlation between the time rate of change of sea surface temperature anomaly (DT's/Dt) and the corresponding change in the depth of the ocean mixed layer (h'). However, an alternate proposal by Chu (1991a,b, 1992) holds that there are both positive and negative correlations between aTs/t and h'. Chu's proposal, based upon the modified Kraus-Turner ocean mixed layer (OML) thermodynamic model, goes further to say that the regions occupied by these positive and negative correlation values correspond roughly to those occupied by positive and negative values of a surface forcing function, P, that is an indication of the strength of the counteracting surface forcings of wind work and buoyant damping. The model-generated fields of surface wind stress, net heat flux, sea surface temperature, and primary (mixed) layer depth are analyzed for a two year ENSO event, 1986 - 87, covering the region of the equatorial Pacific, 1ON to 1OS and to 140E to 8OW, in order to determine the validity of these theories.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1992
Accession Number
ADA257476

Entities

People

  • Robert S. Steadley

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Boundary Layer
  • Data Processing
  • Data Sets
  • Entrainment
  • Equations
  • Grids
  • Heat Energy
  • Heat Flux
  • Ions
  • Latent Heat
  • Sea Surface Temperature
  • Surface Temperature
  • Thermodynamics
  • Turbulence
  • United States Naval Academy
  • Weather Forecasting
  • Wind Stress

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Mathematics or Statistics
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers