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dc.contributor.authorWillmott, Cort J.
dc.contributor.authorAckleson, Steven G.
dc.contributor.authorDavis, Robert E.
dc.contributor.authorFeddema, Johannes J.
dc.contributor.authorKlink, Katherine M.
dc.contributor.authorLegates, David R.
dc.contributor.authorO'Donnell, James
dc.contributor.authorRowe, Clinton M.
dc.date.accessioned2012-05-10T17:17:42Z
dc.date.available2012-05-10T17:17:42Z
dc.date.issued1985-09
dc.identifier.citationWillmott, C.J., S.G. Ackleson, R.E. Davis, J.J. Feddema, K.M. Klink, D.R. Legates, J. O'Donnell and C.M. Rowe (1985): Statistics for the Evaluation and Comparison of Models.  Journal of Geophysical Research.  90(C5): 8995‑9005.en_US
dc.identifier.urihttp://hdl.handle.net/1808/9389
dc.descriptionCopyright 1985 by the American Geophysical Union.en_US
dc.description.abstractProcedures that may be used to evaluate the operational performance of a wide spectrum of geophysical models are introduced. Primarily using a complementary set of difference measures, both model accuracy and precision can be meaningfully estimated, regardless of whether the model predictions are manifesteda s scalars,d irections,o r vectors.I t is additionally suggestedth at the reliability of the accuracy and precision measures can be determined from bootstrap estimates of confidence and significance. Recommendedp roceduresa re illustrated with a comparativee valuation of two models that estimate wind velocity over the South Atlantic Bight.en_US
dc.language.isoen_USen_US
dc.publisherAmerican Geophysical Unionen_US
dc.titleStatistics for the Evaluation and Comparison of Modelsen_US
dc.typeArticle
kusw.kuauthorFeddema, Johannes J.
kusw.kudepartmentGeographyen_US
dc.identifier.doi10.1029/JC090iC05p08995
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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