Preliminary results from the anlysis of wind component error
Subtitle: July data
By: Donald P. Gaver, Patricia A.Jacobs
Contributors: Jacobs, Patricia A.; Naval Postgraduate School (U.S.). Dept. of Operations Research
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1992
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 102
Subjects: WIND; MAXIMUM LIKELIHOOD ESTIMATION; WEATHER FORECASTING
Other titles: NPS-OR-93-003.
Description: 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 April and July 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. The predictions using observational winds appear to      be better at the 850 mb level. The predictions using first guess winds appear to be better at      the 250 mb level.
Notes: Cover title.

"NPS-OR-93-003."

"November 1992."

AD A259 654.

Includes bibliographical references (p. 56).