Skill Assessment for Coupled Biological/Physical Models of Marine Systems

Abstract

Coupled biological/physical models of marine systems serve many purposes including the synthesis of information, hypothesis generation, and as a tool for numerical experimentation. In such applications it is imperative that a rigorous model skill assessment is conducted so that the model's capabilities are tested and understood. Herein, we review several metrics and approaches useful to evaluate model skill. The definition of skill and the determination of the skill level necessary for a given application is context specific and no single metric is likely to reveal all aspects of model skill. Thus, we recommend the use of several metrics, in concert, to provide a more thorough appraisal. The routine application and presentation of rigorous skill assessment metrics will also serve the broader interests of the modeling community, ultimately resulting in improved forecasting abilities as well as helping us recognize our limitations.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA495979

Entities

People

  • Craig A. Stow
  • Dennis J. Mcgillicuddy Jr.
  • J. I. Allen
  • Jason K. Jolliff
  • Kenneth A. Rose
  • Marjorie A. Friedrichs
  • Philip Wallhead
  • Scott C. Doney

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Bayesian Networks
  • Computational Science
  • Data Mining
  • Data Science
  • Information Processing
  • Information Science
  • Knowledge Management
  • Marine Systems (Military)
  • Multivariate Analysis
  • Oceanography
  • Oceans
  • Probability
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics
  • Three Dimensional

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Systems Analysis and Design