Assimilation of Altimeter Data in a Two-Layer Primitive Equation Model of the Gulf Stream

Abstract

A two-layer finite depth, primitive equation model of the Gulf Stream region is used to study the effect of updating the model with simulated altimeter data as observations. In this study both a complete field of sea surface height (SSH) and SSH sampled along satellite tracks are used as 'observations.' A simulated 17-day repeat orbit corresponding to the Geosat-ERM and a 10-day repeat period corresponding to Topex/Poseidon are used. Satellite observations give only information about the sea surface height but previous studies have shown that it is important to transfer the surface information to the lower layer as fast as possible in order for the model to have a realistic evolution. A statistical inference technique is therefore used to update the lower-layer pressure field. The velocity fields in both layers are updated using a geostrophic correction calculated from the change in the pressure fields. It is shown that updating the velocities is important for the assimilation to be successful.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1994
Accession Number
ADA277255

Entities

People

  • Daniel N. Fox
  • Ole Martin Smedstad

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Altimeters
  • Artificial Satellites
  • Boundaries
  • Deep Oceans
  • Dynamics
  • Equations
  • Geography
  • Grids
  • Gulf Stream
  • Kalman Filters
  • Military Research
  • Ocean Currents
  • Oceanography
  • Oceans
  • Statistical Inference
  • Topography

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space