A Novel Method for the Homogenization of Daily Temperature Series and Its Relevance for Climate Change Analysis

Toreti, Andrea; Kuglitsch, Franz G.; Xoplaki, Elena; Luterbacher, Jürg; Wanner, Heinz (2010). A Novel Method for the Homogenization of Daily Temperature Series and Its Relevance for Climate Change Analysis. Journal of Climate, 23(9), pp. 5325-5331. American Meteorological Society 10.1175/2010JCLI3499.1

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Instrumental daily series of temperature are often affected by inhomogeneities. Several methods are available for their correction at monthly and annual scales, whereas few exist for daily data. Here, an improved version of the higher-order moments (HOM) method, the higher-order moments for autocorrelated data (HOMAD), is proposed. HOMAD addresses the main weaknesses of HOM, namely, data autocorrelation and the subjective choice of regression parameters. Simulated series are used for the comparison of both methodologies. The results highlight and reveal that HOMAD outperforms HOM for small samples. Additionally, three daily temperature time series from stations in the eastern Mediterranean are used to show the impact of homogenization procedures on trend estimation and the assessment of extremes. HOMAD provides an improved correction of daily temperature time series and further supports the use of corrected daily temperature time series prior to climate change assessment.

Item Type:

Journal Article (Original Article)


08 Faculty of Science > Institute of Geography > Physical Geography > Unit Climatology
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)
08 Faculty of Science > Institute of Geography

UniBE Contributor:

Toreti, Andrea; Kuglitsch, Franz-Gunther; Xoplaki, Eleni and Wanner, Heinz




American Meteorological Society




Factscience Import

Date Deposited:

04 Oct 2013 14:20

Last Modified:

24 Sep 2015 08:39

Publisher DOI:


Web of Science ID:





https://boris.unibe.ch/id/eprint/6433 (FactScience: 211397)

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