Contributions

  • Jacobs, Patricia A. - Contributor
  • Naval Postgraduate School (U.S.). Dept. of Operations Research - Contributor

Publication

1991 - Available from National Technical Information Service, Monterey, Calif, California

Language

English

Word Count

33,500 words, Guess

Page Count

134 pages

Identifiers

Alternate Titles

  • NPS-OR-91-029.

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 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.

Subjects

Topics

WindAtmosphere modelsMathematical prediction

Reader Reviews

No reviews yet for this book.

Be the first to share your thoughts!