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Artificial detection of lower frequency periodicity in climatic studies by wavelet analysis demonstrated on synthetic time series
Journal of Applied Meteorology and Climatology
The continuous wavelet transform (CWT) is a frequently used tool to study periodicity in climate and other time series. Periodicity plays a significant role in climate reconstruction and prediction. In numerous studies, the use of CWT revealed dominant periodicity (DP) in climatic time series. Several studies suggested that these "natural oscillations" would even reverse global warming. It is shown here that the results of wavelet analysis for detecting DPs can be misinterpreted in the presencedoi:10.1175/jamc-d-18-0331.1 fatcat:i45tpdfukrffxpi22voznocsui