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Estimation of mean square prediction error of wind components is required in the optimal interpolation (OI) process in numerical prediction of atmospheric variables. Statistical models with log-linear scale parameters which include covariates are described for the prediction error. Data from February and April of 1991 are used to fit the model parameters and to study the predictive ability of the models. This preliminary investigation indicates that observational and first guess wind components can be helpful in predicting mean square prediction error for wind components.
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Subjects
Mathematical prediction, Wind, Atmosphere modelsShowing 1 featured edition. View all 1 editions?
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1
Preliminary results from the analysis of wind component error
1991, Naval Postgraduate School, Available from National Technical Information Service
in English
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Book Details
Published in
Monterey, Calif, Springfield, Va
Edition Notes
Cover title.
"NPS-OR-91-029."
"September 1991."
AD A243 772.
Includes bibliographical references (p. 21).
aq/aq cc:9116 06/17/97
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