Data Assimilation with Regional Lagrangian Models
Abstract
The long term goal is regional modeling and data assimilation, allowing us to test models, and get good estimates of the state of the ocean. These inverse estimates use the data to overcome errors in initial conditions, in boundary conditions, and in dynamical parameterizations. The objective is to assimilate float or drifter data from both coastal waters and the deep ocean, over a period of at least three months, into a stratified primitive equation model.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2000
- Accession Number
- ADA610090
Entities
People
- A. F. Bennett
Organizations
- Oregon State University