Document Type

Article

Department/Program

Virginia Institute of Marine Science

Publication Date

2-20-2009

Journal

Journal of Marine Systems

Volume

76

Issue

1-2

First Page

4

Last Page

15

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. However, marine system models are increasingly used for prediction to support high-stakes decision-making. 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.

Keywords

Goodness-of-fit; skill metric; skill assessment; model uncertainty

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Publication Statement

Published in final edited form as: J Mar Syst. 2009 February 20; 76(1-2): 4–15. doi:10.1016/j.jmarsys.2008.03.011.

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