Variational Data Assimilation in Shelf Circulation Models

Abstract

The long-term goals of this research project are to advance data assimilation (DA) methods for coastal ocean circulation models. After several years of research focused on various aspects of advanced, variational DA with nonlinear coastal ocean models, we have come close to development of an optimal, versatile, and relocatable DA system based on a primitive equation model with a turbulence submodel. The system can be used efficiently both for operational needs (forecasting, search and rescue, environmental response) and for fundamental studies of coastal ocean dynamics. The modeling system will have the capability to assimilate time-series measurements from moorings and coastal based high frequency (HF) standard and long-range radars, satellite information (SSH, SST), and hydrographic survey data (including observations from underwater gliders).

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA542461

Entities

People

  • Alexander L. Kurapov
  • Gary D. Egbert
  • John S. Allen

Organizations

  • Oregon State University

Tags

DTIC Thesaurus Topics

  • Altimetry
  • Artificial Satellites
  • Assimilation
  • Atmospheric Sciences
  • Climate Change
  • Computations
  • Continental Shelves
  • Covariance
  • Equations
  • Nonlinear Dynamics
  • Ocean Currents
  • Ocean Observing Systems
  • Oceans
  • Standards
  • Three Dimensional
  • Universities
  • Variational Methods

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Computational Modeling and Simulation

Technology Areas

  • Autonomy
  • Space