Multi-Model Super-Ensemble Ocean Prediction: An Operational Example Using a Kalman Filter in the Adriatic Sea

Abstract

Multi-model Super-Ensembles (SE) aim at combining optimally different models. A dynamic Kalman Filter version of this technique was applied to a unique set of in-situ data and operational ocean models during the Dynamics of the Adriatic in Real-Time (DART) field experiment. The technique was shown to significantly improve forecasting skills.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2007
Accession Number
ADA474282

Entities

People

  • Jacopo Chiggiato
  • Jeffery W. Book
  • Michel Rixen
  • Nadia Pinardi
  • Nello Russo
  • Paolo Oddo
  • Paul J. Martin

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Acoustics
  • Adriatic Sea
  • Department Of Defense
  • Filters
  • Kalman Filters
  • Military Research
  • Monitoring
  • Oceanography
  • Oceans
  • Standards

Readers

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