Data Assimilation and Model Evaluation Experiment: North Atlantic Basin
Abstract
Our long-term goal has been the realization of an improved mesoscale prediction capability in the North Atlantic Basin through the development of advanced prognostic modeling systems, the preparation of remotely acquired and in situ datasets, and their joint use for validation and data assimilation studies. We seek to build and apply more accurate and efficient models of the basin-scale ocean circulation, including the adjacent continental shelves and marginal seas. Modeling objectives include the following: (1) evaluation of the prognostic realism of our newest terrain-following coordinate model (ROMS); (2) the implementation of a new generation of basin-scale ocean circulation models based on the spectral finite element technique (Spectral Element Ocean Model (SEOM)), and the assessment of its performance relative to ROMS; and (3) assimilation of North Atlantic datasets into the ROMS model using the reduced-state Kalman filter. Our concurrent observational objective has been the finalization and distribution of North Atlantic altimeter, sea surface temperature, and CTD/XBT datasets for use by DAMEE participants in assimilation and model validation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1998
- Accession Number
- ADA551264
Entities
People
- Dale B. Haidvogel
- Mohamed Iskandarani
- Paola Malanotte-rizzoli
- Scott Glenn
Organizations
- Rutgers University–New Brunswick