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 and different data-types; how their assessment can lead to the evaluation of model errors as intrinsic component of the data assimilation system used.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2001
Accession Number
ADA627297

Entities

People

  • Paola Malanotte-rizzoli

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Assimilation
  • Boundaries
  • Covariance
  • Dynamics
  • Filters
  • Information Operations
  • Jet Streams
  • Kalman Filters
  • Kinetic Energy
  • Observation
  • Planetary Sciences
  • Sensitivity
  • Stationary
  • Test And Evaluation
  • Uncertainty
  • Wind

Readers

  • Computational Modeling and Simulation