Title: Preliminary results from the anlysis of wind component error
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.
Subjects: WIND, MAXIMUM LIKELIHOOD ESTIMATION, WEATHER FORECASTING