Modeling with Data Assimilation in the North Atlantic (DAMEE)

Abstract

LONG-TERM GOALS. To show the strengths and weaknesses of different modeling and data assimilation approaches. OBJECTIVES. In the past, DAMEE-NAB (Data Assimilation and Model Evaluation Experiment in North Atlantic Basin) experiments have addressed the climatological behavior of different prognostic circulation models as per a fixed list of well documented properties of the North Atlantic Basin. All such experiments have been performed at a low resolution of 1/2 degree with fewer than 20 vertical levels. Future participants of DAMEE-NAB will address the sensitivity of mesoscale forecasts to variations in climatological measures and will also establish basin-scale predictive capabilities of general circulation models relative to persistence and climatology at higher resolutions. Some other objectives include identifying the strengths and weaknesses of different classes of numerical models and various data assimilation techniques. Exploring and implementing the best data assimilation methods with coupled models would be the final step for accurate, efficient forecasts of the North Atlantic Basin.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA634423

Entities

People

  • David E. Dietrich

Organizations

  • Mississippi State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adriatic Sea
  • Assimilation
  • Boundaries
  • Cape Hatteras
  • Geography
  • High Resolution
  • Low Resolution
  • Mediterranean Sea
  • New Zealand
  • Newfoundland (Province)
  • Oceanography
  • Oceans
  • Sea Water
  • Standards
  • Topography
  • Water
  • Water Masses

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers