article Open AccessTop 10% cited
Statistics for the evaluation and comparison of models
Journal of Geophysical Research Atmospheres · 1985 · Vol. 90(C5) · pp. 8995–9005
Cort J. Willmott✉Steven G. Ackleson(University of Delaware)Robert E. DavisJohannes J. FeddemaKatherine KlinkDavid R. LegatesJames O’Donnell(College of Marin)Clinton M. Rowe
Abstract
Procedures 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 manifested as scalars, directions, or vectors. It is additionally suggested that the reliability of the accuracy and precision measures can be determined from bootstrap estimates of confidence and significance. Recommended procedures are illustrated with a comparative evaluation of two models that estimate wind velocity over the South Atlantic Bight.
Wind and Air Flow StudiesMeteorological Phenomena and SimulationsAtmospheric and Environmental Gas DynamicsReliability (semiconductor)StatisticsSet (abstract data type)Confidence intervalEconometricsComputer scienceMathematicsPhysics
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References
Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods
Biometrika · 1981 · 1,359 citations
River flow forecasting through conceptual models part I — A discussion of principles
Journal of Hydrology · 1970 · 23,740 citations
Some Comments on the Evaluation of Model Performance
Bulletin of the American Meteorological Society · 1982 · 3,693 citations
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