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Skill assessment for coupled biological/physical models of marine systems

Stow, Craig A., Jolliff, Jason, McGillicuddy, Dennis J., Doney, Scott C., Allen, J. Icarus, Friedrichs, Marjorie A.M., Rose, Kenneth A. and Wallhead, Philip (2009) Skill assessment for coupled biological/physical models of marine systems Journal of Marine Systems, 76, (1-2), pp. 4-15. (doi:10.1016/j.jmarsys.2008.03.011).

Record type: Article


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.

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Published date: 23 February 2009
Keywords: Goodness-of-fit, Skill metric, Skill assessment, Model uncertainty


Local EPrints ID: 65577
ISSN: 0924-7963
PURE UUID: 802640bc-6eef-422f-b751-410daffc35b9

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Date deposited: 23 Feb 2009
Last modified: 19 Jul 2017 00:32

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Author: Craig A. Stow
Author: Jason Jolliff
Author: Dennis J. McGillicuddy
Author: Scott C. Doney
Author: J. Icarus Allen
Author: Marjorie A.M. Friedrichs
Author: Kenneth A. Rose
Author: Philip Wallhead

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