Accession Number:

ADA634423

Title:

Modeling with Data Assimilation in the North Atlantic (DAMEE)

Descriptive Note:

Corporate Author:

MISSISSIPPI STATE UNIV STENNIS SPACE CENTER CENTER FOR AIR SEA TECHNOLOGY

Personal Author(s):

Report Date:

1997-09-30

Pagination or Media Count:

7.0

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 12 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.

Subject Categories:

  • Meteorology
  • Physical and Dynamic Oceanography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE