Sources of error in objective analysis
By: by Richard Franke
Contributors: Naval Postgraduate School (U.S.)
Publisher: Naval Postgraduate School
Published: 1984
Place of publication: Monterey, California
Language: eng
Number of pages: 50
Subjects: Numerical analysis; Approximation theory; Splines; Interpolation
Description: The error in objective analysis methods that are based on corrections to a first guess field is considered. An expression that gives a decomposition of the error into three independent components is derived. To test the magnitudes of the contribution of each component a series of computer simulations was conducted. grid-to-observation point interpolation schemes considered ranged from simple piecewise linear functions to highly accurate spline functions. The observation-to-grid interpolation methods considered included most of those in present meteorological use, such as optimum interpolation and successive corrections, as well as proposed schemes such as thin plate splines, and several variations of these schemes. The results include an analysis of cost versus skill; this information is summarized in plots for most combinations. The degradation in performance due to inexact parameter specification in statistical observation-to-grid interpolation schemes is addressed. The efficacy of the mean squared error estimates in this situation is also explored. (Author)
Notes: Title from cover.

"Prepared for: Naval Environmental Prediction Research Facility"--Cover.

"May 1984"--Cover.

"Technical report for period October 1983 - March 1984"--Cover.

"NPS-53-84-0003"--Cover.

DTIC Identifiers: Objective analysis, PE61153N.

Author(s) key words: Objective analysis, optimum interpolation, thin plate splines, Barnes' method, splines, statistical interpolation.

Includes bibliographical references (p. 20).

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

Technical report; 1984.

kmc/kmc 12/1/09.

aq/aq cc:9116 05/14/98