The use of observed data for the initial value problem in numerical weather prediction
By: by Richard Franke, Edward Barker [and] James Goerss
Contributors: Barker, Edward; Goerss, James; Naval Postgraduate School (U.S.)
Publisher: Naval Postgraduate School
Published: 1987
Place of publication: Monterey, California
Language: eng
Number of pages: 39
Subjects: Weather forecasting; Interpolation
Description: The problem of combining observed and predicted values of meteorological variables, all with error, to obtain current weather conditions is considered. Statistical interpolation is in common use for this problem. Properties of isotropic spatial covariance functions are developed. The performance of several families of covariance functions in fitting published data is investigated. The second order autoregressive covariance function is identified as having suitable theoretical and excellent approximation properties. Sensitivity of the errors in statistical interpolation to misspecification of the statistical parameters is explored, showing that the process is quite stable to such perturbations.
Notes: Title from cover.

"Prepared for: Office of Naval Research"--Cover.

"April 1987."

"Technical report for period August 1986 - March 1987"--Cover.

"NPS-53-87-002"--Cover.

DTIC Identifiers: Numerical weather forecasting, Initial value problem, Covariance functions, Autoregressive covariance function, PE61153N.

Author(s) key words: Objective analysis, interpolation, statistical interpolation, optimum interpolation, covariance functions, isotropy, correlation functions.

Includes bibliographical references (p. 28-30).

"Approved for public release; distribution unlimited"--Cover.

Technical report; 1987.

kmc/kmc 12/2/09.

aq/aq cc:9116 06/04/99.