Trend analysis using non-stationary time series clustering based on the finite element method

Other literature type, Article English OPEN
M. Gorji Sefidmazgi; M. Sayemuzzaman; A. Homaifar; M. K. Jha; S. Liess; (2014)
  • Publisher: Copernicus Publications
  • Journal: Nonlinear Processes in Geophysics (issn: 1023-5809, eissn: 1607-7946)
  • Related identifiers: doi: 10.5194/npg-21-605-2014
  • Subject: Geophysics. Cosmic physics | Q | Science | Physics | QC1-999 | QC801-809

In order to analyze low-frequency variability of climate, it is useful to model the climatic time series with multiple linear trends and locate the times of significant changes. In this paper, we have used non-stationary time series clustering to find change points in t... View more
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