Empirical mode decomposition and correlation properties of long daily ozone records

I. Jánosi, Rolf Müller

Research output: Contribution to journalArticle

68 Citations (Scopus)

Abstract

Correlations for daily data of total ozone column are investigated by detrended fluctuation analysis (DFA). The removal of annual periodicity does not result in a background-free signal for the tropical station Mauna Loa. In order to identify the remaining quasiperiodic constituent, the relatively new method of empirical mode decomposition (EMD) is tested. We found that the so-called intrinsic mode functions do not represent real signal components of the ozone time series, their amplitude modulation is very sensitive to local changes such as random data removal or smoothing. Tests on synthetic data further corroborate the limitations of decomposing quasiperiodic signals from noise with EMD. Nevertheless the EMD algorithm helps to identify dominating frequencies in the time series, which allows to separate fluctuations from the remaining background. We demonstrate that DFA analysis for the cleaned Mauna Loa record yields scaling comparable to a mid-latitude station.

Original languageEnglish
Article number056126
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume71
Issue number5
DOIs
Publication statusPublished - May 2005

Fingerprint

Ozone
ozone
Fluctuations
decomposition
Decompose
Time series
Intrinsic Mode Function
Amplitude Modulation
stations
Decomposition Algorithm
Synthetic Data
Periodicity
Annual
Smoothing
smoothing
Scaling
periodic variations
scaling
Demonstrate
Background

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Mathematical Physics

Cite this

Empirical mode decomposition and correlation properties of long daily ozone records. / Jánosi, I.; Müller, Rolf.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 71, No. 5, 056126, 05.2005.

Research output: Contribution to journalArticle

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