Document Type

Article

Publication Version

Published Version

Publication Date

10-1995

Journal or Book Title

Journal of Climate

Volume

8

Issue

10

First Page

2352

Last Page

2363

DOI

10.1175/1520-0442(1995)008<2352:IPCIAD>2.0.CO;2

Abstract

This work describes the application of a recently developed signal processing technique for identifying periodic components in the presence of unknown colored noise. Specifically, the application of this technique to the identification of strongly periodic components in meteorological time series is examined. The technique is based on the unique convergence properties of the family of minimum variance (MV) spectral estimators. The MV convergence methodology and computational procedures are described and are illustrated with a theoretical example. The utility of this method to atmospheric signals is demonstrated with a 26-year (1964-1989) time series of 70-mb wind components at Truk Islands in the equatorial Pacific.

Comments

This article is from Journal of Climate 8 (1995): 2352, doi: 10.1175/1520-0442(1995)008<2352:IPCIAD>2.0.CO;2. Posted with permission.

Copyright Owner

American Meteorological Society

Language

en

Date Available

2015-09-01

File Format

application/pdf

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