ROMS Data Assimilation Tools and Techniques

Abstract

Our long-term technical goal is to develop and test the Tangent Linear Model (TLM), Representer Model (RPM), and Adjoint Model (ADM) versions of ROMS (Regional Ocean Modeling System) and TOMS (Terrain-following Ocean Modeling System) for variational data assimilation, ensemble forecasting, and stability analysis. The primary focus is to develop a general platform for strong and weak constraint 4D Variational data assimilation (4DVar); to develop an ensemble prediction capability based on optimal perturbations and stochastic optimals; and to develop stability analysis tools based on eigenmodes and singular vectors to explore the role of environmental stochastic forcing in shaping ocean circulation. Our long-term scientific goal is to model and predict the mesoscale circulation and the ecosystem response to physical forcing in the various regions of the World Ocean through state estimation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2006
Accession Number
ADA611937

Entities

People

  • Emanuele Di Lorenzo

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Algorithms
  • Assimilation
  • Atmospheric Sciences
  • California
  • Covariance
  • Diffusion Coefficient
  • Flow Fields
  • High Resolution
  • Nonlinear Dynamics
  • Observation
  • Ocean Currents
  • Oceans
  • Platforms
  • Sampling
  • Terrain Following
  • Universities
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers