Comparison of HOMER and ACMANT homogenization methods using a central Pyrenees temperature dataset

The aim of this research is to compare the results of two modern multiple break point homogenization methods, namely ACMANT and HOMER, over a Pyrenees temperature dataset in order to detect differences between their outputs which can affect future studies. Both methods are applied to a dataset of 44...

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Bibliographic Details
Published inAdvances in science and research Vol. 12; no. 1; pp. 111 - 119
Main Authors Pérez-Zanón, N, Sigró, J, Domonkos, P, Ashcroft, L
Format Journal Article
LanguageEnglish
Published Katlenburg-Lindau Copernicus GmbH 09.06.2015
Copernicus Publications
Subjects
Climate change
Cluster analysis
Datasets
Homogenization
Metadata
Methods
Minimum temperatures
Quality control
Software
Temperature
Time series
Europe
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Summary:The aim of this research is to compare the results of two modern multiple break point homogenization methods, namely ACMANT and HOMER, over a Pyrenees temperature dataset in order to detect differences between their outputs which can affect future studies. Both methods are applied to a dataset of 44 monthly maximum and minimum temperature series placed around central Pyrenees and covering the 1910–2013 period. The results indicate that the automatic method ACMANT produces credible results. While HOMER detects more breaks supported by metadata, this method is also more dependent on the user skill and thus sensitive to subjective errors.
ISSN:1992-0636
1992-0628
1992-0636
DOI:10.5194/asr-12-111-2015