Accession Number : ADP008739

Title :   Optimal Space-Time Interpolation of Gappy Frontal Position Data,

Corporate Author : ROSENSTIEL SCHOOL OF MARINE AND ATMOSPHERIC SCIENCE MIAMI FL DIV OF METEOROLO GY & PHYS OCEANOGRAPHY

Personal Author(s) : Chin, Toshio M. ; Mariano, Arthur J.

Report Date : NOV 1993

Pagination or Media Count : 25

Abstract : The primary goal of this study is to develop an improved algorithm for space-time interpolation of gappy frontal data sets. The major improvements are the inclusions of (1) two-dimensional phase speed, (2) a more autonomous algorithm, (3) a better feature matching algorithm, and (4) the inclusion of a temporal smoothness constraint. The space-time interpolator is formulated in framework of probabilities (Bayesian) estimation. This report first reviews such an estimation theoretic framework and, in particular, a Kalman filter-based interpolation algorithm. Then, feature detection and matching algorithms are discussed, followed by presentation and discussion of some preliminary results

Descriptors :   *GULF STREAM, *STATISTICAL ANALYSIS, *ALGORITHMS, *INTERPOLATION, DATA PROCESSING, FRONTS(OCEANOGRAPHY), OPTIMIZATION, MATCHING, BAYES THEOREM.

Subject Categories : Physical and Dynamic Oceanography
      Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE