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Skill assessment for coupled biological/physical models of marine systems

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dc.contributor.author Stow, Craig A.
dc.contributor.author Jolliff, Jason
dc.contributor.author McGillicuddy, Dennis J.
dc.contributor.author Doney, Scott C.
dc.contributor.author Allen, J. Icarus
dc.contributor.author Friedrichs, Marjorie A. M.
dc.contributor.author Rose, Kenneth A.
dc.contributor.author Wallhead, Philip
dc.date.accessioned 2009-03-26T20:08:29Z
dc.date.available 2009-03-26T20:08:29Z
dc.date.issued 2008-03-04
dc.identifier.uri http://hdl.handle.net/1912/2752
dc.description Author Posting. © Elsevier B.V., 2009. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Journal of Marine Systems 76 (2009): 4-15, doi:10.1016/j.jmarsys.2008.03.011. en
dc.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. en
dc.description.sponsorship JIA was funded by theme 9 of the NERC core strategic Oceans2025 program en
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.relation.uri http://dx.doi.org/10.1016/j.jmarsys.2008.03.011
dc.subject Goodness-of-fit en
dc.subject Skill metric en
dc.subject Skill assessment en
dc.subject Model uncertainty en
dc.title Skill assessment for coupled biological/physical models of marine systems en
dc.type Preprint en


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