Identifying periodic components in atmospheric data using a family of minimum variance spectral estimators

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1995-10-01
Authors
Wikle, Christopher
Chen, Tsing-Chang
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Sherman, Peter
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Aerospace Engineering

The Department of Aerospace Engineering seeks to instruct the design, analysis, testing, and operation of vehicles which operate in air, water, or space, including studies of aerodynamics, structure mechanics, propulsion, and the like.

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The Department of Aerospace Engineering was organized as the Department of Aeronautical Engineering in 1942. Its name was changed to the Department of Aerospace Engineering in 1961. In 1990, the department absorbed the Department of Engineering Science and Mechanics and became the Department of Aerospace Engineering and Engineering Mechanics. In 2003 the name was changed back to the Department of Aerospace Engineering.

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1942-present

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  • Department of Aerospace Engineering and Engineering Mechanics (1990-2003)

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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.

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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.

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Sun Jan 01 00:00:00 UTC 1995
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