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Representation of the quasi-biennial oscillation in the tropical stratospheric wind by nonlinear principal component analysis

American Geophysical Union

The zonal winds at several levels between 70 and 10 hPa (roughly 20–30 km) measured at near-equatorial stations during 1956–2000 were analyzed to produce a one-dimensional approximation. The neural network-based technique applied was the circular nonlinear principal component analysis (NLPCA.cir) designed to characterize quasiperiodic phenomena. The reconstructed height-time series of wind based on the one-dimensional NLPCA.cir captures many of the characteristic features of the observed quasi-biennial oscillation (QBO). The nonlinear results were evaluated relative to comparable linear principal component analysis and found to produce a superior one-dimensional representation of the data. The NLPCA.cir analysis produces a single time series of QBO phase based on data at all levels. This phase was then applied to demonstrate a strong correlation of the state of the tropical QBO and boreal winter high-latitude stratospheric temperatures. An edited version of this paper was published by AGU. Copyright 2002 American Geophysical Union.

Text

2016-11-10

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/32834

Hamilton, Kevin, Hsieh, William W. 2002. Representation of the quasi-biennial oscillation in the tropical stratospheric wind by nonlinear principal component analysis. Journal of Geophysical Research Oceans. 107 D15 4232

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Hsieh, Wiliam W.

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