Preliminary results from the analysis of wind component error
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Authors
Gaver, Donald P.
Jacobs, Patricia A.
Subjects
Gaussian model with log-linear scale parameter
maximum likelihood
Newton's method
maximum likelihood
Newton's method
Advisors
Date of Issue
1991-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
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
Type
Technical Report
Description
Series/Report No
Department
Organization
Identifiers
NPS Report Number
NPS-OR-91-029
Sponsors
Naval Oceanographic and Atmospheric Research Laboratory
Funder
N6846291WR 10023
N6846291WR 10035
N6846291WR 10035
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.