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Advances in Science and Research Contributions in Applied Meteorology and Climatology
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  • h5-index value: 12 h5-index 12
Volume 12, issue 1
Adv. Sci. Res., 12, 111–119, 2015
https://doi.org/10.5194/asr-12-111-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Adv. Sci. Res., 12, 111–119, 2015
https://doi.org/10.5194/asr-12-111-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  09 Jun 2015

09 Jun 2015

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

N. Pérez-Zanón, J. Sigró, P. Domonkos, and L. Ashcroft N. Pérez-Zanón et al.
  • Center for Climate Change (C3), Campus Terres de l'Ebre, Universitat Rovira i Virgili, Tortosa, Spain

Abstract. 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.

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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 aim of this research is to compare the results of two modern multiple break point...
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