Investigation of Model Sensitivities and Model Errors with Relation to Data Assimilation Systems

Abstract

To investigate basic predictability issues related to model sensitivities to uncertainties in the initial and boundary conditions; how these sensitivities are dependent on different model dynamics, different data types and data distribution; how their assessment can lead to the evaluation of model errors as intrinsic component of the data assimilation method used.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA629056

Entities

People

  • Paola M. Rizzoli

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Assimilation
  • Atlantic Ocean
  • Boundaries
  • Covariance
  • Dynamics
  • Equations
  • Filters
  • Kalman Filters
  • Monte Carlo Method
  • Ocean Currents
  • Oceans
  • Planetary Sciences
  • Power Spectra
  • Sensitivity
  • Stationary
  • Test And Evaluation
  • Uncertainty

Readers

  • Computational Modeling and Simulation