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

Abstract

The long-term goal is 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, 2001
Accession Number
ADA625682

Entities

People

  • Paola M. Rizzoli

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Altimetry
  • Assimilation
  • Atlantic Ocean
  • Boundaries
  • Cloud Cover
  • Covariance
  • Dynamics
  • Filters
  • Kalman Filters
  • Ocean Currents
  • Oceans
  • Planetary Sciences
  • Power Spectra
  • Sensitivity
  • Stationary
  • Test And Evaluation
  • Uncertainty

Readers

  • Computational Modeling and Simulation