Assessment of Data Assimilative Ocean Models in the Gulf of Mexico Using Ocean Color

Abstract

This paper illustrates the value of SeaWiFS ocean color imagery in assessing the ability of three data-assimilative ocean models (configured in five prediction systems) to map mesoscale variability in the Gulf of Mexico (i.e., the Loop Current and associated warm and cold eddies) and in helping to diagnose specific strengths and weaknesses of the systems. In addition, the study clearly illustrates that biological responses of the surface waters are strongly linked to the physical events and processes.

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Document Details

Document Type
Technical Report
Publication Date
Jun 09, 2006
Accession Number
ADA449309

Entities

People

  • Alan J. Wallcraft
  • Charlie N. Barron
  • Dong S. Ko
  • Eric Chassignet
  • Harley E. Hurlburt
  • Jay F. Shriver
  • Ole Martin Smedstad
  • Robert A. Arnone
  • Robert C. Rhodes

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Coordinate Systems
  • Data Processing
  • Data Sets
  • Grids
  • Image Processing
  • Measurement
  • Mixing
  • Oceanography
  • Oceans
  • Simulations
  • Surface Temperature
  • Surface Waters
  • Terrain
  • Topography
  • Water

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers