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).

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Description/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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/j.jmarsys.2008.03.011
ISSNs: 0924-7963 (print)
Keywords: Goodness-of-fit, Skill metric, Skill assessment, Model uncertainty
Subjects:
ePrint ID: 65577
Date :
Date Event
23 February 2009Published
Date Deposited: 23 Feb 2009
Last Modified: 18 Apr 2017 21:55
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/65577

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