Modeling With Data Assimilation in the North Atlantic (DAMEE)
Abstract
To show the strengths and weaknesses of different modeling and data assimilation approaches. In the past, DAMEE-NAB 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 (1/10 degree) and a larger number of vertical levels (up to 40). 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1998
- Accession Number
- ADA551611
Entities
People
- David E. Dietrich
Organizations
- Mississippi State University