Articles | Volume 17, issue 3
Nonlin. Processes Geophys., 17, 269–272, 2010
https://doi.org/10.5194/npg-17-269-2010
Nonlin. Processes Geophys., 17, 269–272, 2010
https://doi.org/10.5194/npg-17-269-2010

  20 May 2010

20 May 2010

Brief communication "A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method"

S. Nicolay1, G. Mabille2, X. Fettweis2, and M. Erpicum2 S. Nicolay et al.
  • 1Département de mathématique, University of Liège, Liège, Belgium
  • 2Département de géographie, University of Liège, Liège, Belgium

Abstract. Recently, new cycles, associated with periods of 30 and 43 months, respectively, have been observed by the authors in surface air temperature time series, using a wavelet-based methodology. Although many evidences attest the validity of this method applied to climatic data, no systematic study of its efficiency has been carried out. Here, we estimate confidence levels for this approach and show that the observed cycles are significant. Taking these cycles into consideration should prove helpful in increasing the accuracy of the climate model projections of climate change and weather forecast.