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• W2142531881 abstract "Recently a new spectral technique has been developed for the analysis of aperiodic signals from nonlinear systems—the Hilbert–Huang transform. It is shown how this transform can be used to discover synoptic and climatic features: For sea level data, the transforms capture the oceanic tides as well as variations in precipitation patterns. In the case of solar radiation, variations in the diurnal and seasonal cycles are observed. Finally, from barographic data, the Hilbert–Huang transform reveals the passage of extratropical cyclones, fronts, and troughs. Thus, this technique can detect signals on synoptic to interannual time scales." @default.
• W2142531881 created "2016-06-24" @default.
• W2142531881 creator A5084971866 @default.
• W2142531881 date "2004-04-01" @default.
• W2142531881 modified "2023-09-26" @default.
• W2142531881 title "The Application of Hilbert–Huang Transforms to Meteorological Datasets" @default.
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• W2142531881 doi "https://doi.org/10.1175/1520-0426(2004)021<0599:taohtt>2.0.co;2" @default.
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