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Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union
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Volume 3, issue 2
Geosci. Instrum. Method. Data Syst., 3, 187–200, 2014
https://doi.org/10.5194/gi-3-187-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Instrum. Method. Data Syst., 3, 187–200, 2014
https://doi.org/10.5194/gi-3-187-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 25 Sep 2014

Research article | 25 Sep 2014

A framework for benchmarking of homogenisation algorithm performance on the global scale

K. Willett et al.

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Cited articles

Aguilar, E., Auer, I., Brunet, M., Peterson, T. C., and Wieringa, J.: Guidelines on climate metadata and homogenization, WCDMP 53, WMO-TD 1186, World Meteorol. Organ., Geneva, Switzerland, 55 pp., 2003.
Auchmann, R. and Brönnimann, S.: A physics-based correction model for homogenizing sub-daily temperature series, J. Geophys. Res., 117, D17119, https://doi.org/10.1029/2012JD018067, 2012.
Begert, M., Zenklusen, E., Häberli, C., Appenzeller, C., and Klok, I.: An automated procedure to detect changepoints; performance assessment and application to a large European climate data set, Meteorol. Z., 17, 663–672, 2008.
Böhm, R., Auer, I., Brunetti, M., Maugeri, M., Nanni, T., and Schöner, W.: Regional temperature variability in the European Alps 1760–1998 from homogenized instrumental time series, Int. J. Climatol., 21, 1779–1801, 2001.
Brockwell, P. J. and Davis, R. A.: Time Series: Theory and Methods, 2nd Edn., Springer, New York, NY, 2006.
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