Enhanced Ocean Predictability Through Optimal Observing Strategies.

Abstract

The long term goal of this research is to develop the requisite technology to design effective observation strategies that will maximize the capacity to predict mesoscale and submesoscale conditions so as to provide the best possible nowcasts and forecasts of oceanic conditions. There are three tightly integrated objectives. The first is to focus both oceanographic and dynamical systems approaches on developing optimal observing strategies. The common thread linking both approaches is Lagrangian data, so this phase of the work addresses the question of how best to construct Eulerian current maps from these data and how to use the information contained therein to design optimal observing systems. The second objective will be to design an optimal observing strategy from a synthetic database. Here we will use primitive equation model simulations as the control. The last objective will be to apply this technology to the Gulf of Mexico where both high resolution numerical model results and drifter data are available.

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Document Details

Document Type
Technical Report
Publication Date
Nov 05, 1999
Accession Number
ADA370551

Entities

People

  • A. D . Kirwan Jr.
  • Michael S. Toner

Organizations

  • Old Dominion University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Black Sea
  • Crisis Management
  • Deployment
  • Environmental Assessment
  • Errors
  • Governments
  • High Resolution
  • Military Research
  • Monitoring
  • Observation
  • Oceans
  • Stratified Fluids
  • Systems Approach
  • Technical Information Centers
  • Universities

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Systems Analysis and Design