Metrics for evaluating linear features

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dc.contributor.authorLevy, G.
dc.contributor.authorCoon, M.
dc.contributor.authorNguyen, G.
dc.contributor.authorSulsky, D.
dc.date.issued2008
dc.description.abstractNovel metrics designed to evaluate the skill of geophysical models in simulating discontinuities and linear features are introduced and tested using a sea-ice model and remotely sensed observations of leads. The metrics are formulated as frequency-based indices of agreement, thus maintaining the simplicity desired in model development and operational applications, while remedying known shortcomings of common existing skill metrics. User-selectable spatial scales and features of significance allow for the general use of the metrics in variable applications, scales, and observation types.
dc.description.statementofresponsibilityGad Levy, Max Coon, Giang Nguyen and Deborah Sulsky
dc.identifier.citationGeophysical Research Letters, 2008; 35(21):L21705-1-L21705-4
dc.identifier.doi10.1029/2008GL035086
dc.identifier.issn0094-8276
dc.identifier.issn1944-8007
dc.identifier.urihttp://hdl.handle.net/2440/86181
dc.language.isoen
dc.publisherAmerican Geophysical Union
dc.rightsCopyright 2008 by the American Geophysical Union
dc.source.urihttps://doi.org/10.1029/2008gl035086
dc.subjectlinear features; metric; skill score; sea ice
dc.titleMetrics for evaluating linear features
dc.typeJournal article
pubs.publication-statusPublished

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