A comparative assessment of different methods for detecting inhomogeneities in turkish temperature data set

Mete Tayanç*, H. Nüzhet Dalfes, Mehmet Karaca, Orhan Yenigün

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

A combination of different methods is described whereby climatological time series can be tested for inhomogeneities using relative homogeneity techniques. The method set includes graphical analysis, a non-parametric Kruskal-Wallis homogeneity test and a Wald-Wolfowitz runs test application to the annual mean difference temperature series between highly correlated stations. A series of Monte Carlo simulation studies was carried out, which determined the inhomogeneity detection efficiencies of these tests. The procedure is statistically rigorous and provides estimates of the time and magnitude of change in the mean. Its application to annual mean temperature differences series for 82 Turkish climate stations indicates that the method set is a valuable tool for testing time series.

Original languageEnglish
Pages (from-to)561-578
Number of pages18
JournalInternational Journal of Climatology
Volume18
Issue number5
DOIs
Publication statusPublished - 1998

Keywords

  • Homogeneity
  • Kruskal-Wallis test
  • Temperature
  • Time series
  • Turkey
  • Wald-wolfowitz runs test

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