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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1999
Accession Number
ADA613944

Entities

People

  • A. F. Bennett

Organizations

  • Oregon State University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Assimilation
  • Atmospheric Sciences
  • Boundaries
  • Deep Oceans
  • Equations
  • Fluid Dynamics
  • Friction
  • High Resolution
  • Information Operations
  • Inverse Problems
  • Marine Systems (Military)
  • Oceans
  • Shallow Water
  • Universities
  • Water

Fields of Study

  • Environmental science

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers