Hindcasting Wind-Driven Anomalies Using Reduced-Gravity Global Ocean Models with 1/2 deg and 1/4 deg Resolution.

Abstract

Global versions of the Navy Layered Ocean Model are used to hindcast wind-driven oceanic anomalies. These versions are reduced-gravity with the lowest layer infinitely deep and at rest Grid resolutions of 0.5 (1/2 deg) and 0.25 (1/4 deg) are used. Winds at the 1000-mbar level from the European Centre for Medium-Range Weather Forecasts are used as forcing functions for the models over the 1981-1990 time frame. The models' ability to reproduce wind-forced anomalies on intraseasonal to interannual time scales is studied by comparing the model solutions with various obsersational data sets. These include satellite altimetry, drifting buoys, and island/coastal sea-level stations. The effects of varying horizontal and veflical resolution are also investigated. The models are able to hindcast many of the wind-driven anomalies. the best correlation is found in the tropical regions where the oceanic response to atmospheric forcing is the most rapid. At midlatitudes, mesoscale flow instabilities are a major source of oceanic anomalies. However, the resolution of the global models used here is not adequate for these instabilities. In addition, the reduced.gravity models lack the barotropic mode and the realistic bottom topography, both of which can play an important role in the flow instabilities. A technique that gives maps showing the fraction of variability in the hindcast that is deterministic (in response to atmospheric forcing) and the fraction that is not deterministic (due to flow instabilities) is also demonstrated.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1994
Accession Number
ADA289060

Entities

People

  • Edward Joseph Metzger
  • Gregg A. Jacobs
  • Harley E. Hurlburt
  • John C. Kindle

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Cyber
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Altimetry
  • Artificial Satellites
  • Data Sets
  • Geography
  • Grids
  • Indian Ocean
  • Instability
  • Military Research
  • North Pacific Ocean
  • Oceanography
  • Oceans
  • Pacific Ocean
  • Regions
  • Sea Level
  • Simulations
  • Topography
  • Underwater Acoustics

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Space