Mesoscale Ocean Forecast/Assimilation Studies

Abstract

Our long-term goal over this two year project has been to develop computer software needed to optimize initial conditions, internal parameters and external parameters for the Harvard primitive equation (PE) model in order to produce the best forecasts in an arbitrary region. This new tool invokes an inverse technique to fuse all available data types, gathered non-synoptically, with optimized model dynamics. The technique is distinct from (and complementary to) the optimal interpolation and Kalman filter assimilation strategies now being developed and used at Harvard.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA628414

Entities

People

  • Arthur J. Miller
  • Bruce D. Cornuelle

Organizations

  • Scripps Institution of Oceanography

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Assimilation
  • Computer Programming
  • Computer Programs
  • Computers
  • Equations
  • Information Operations
  • Intervals
  • Kalman Filters
  • Oceanography
  • Oceans
  • Simulations
  • Standards
  • Time Intervals

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers