Articles | Volume 3, issue 2
https://doi.org/10.5194/gi-3-187-2014
https://doi.org/10.5194/gi-3-187-2014
Research article
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25 Sep 2014
Research article | Highlight paper |  | 25 Sep 2014

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

K. Willett, C. Williams, I. T. Jolliffe, R. Lund, L. V. Alexander, S. Brönnimann, L. A. Vincent, S. Easterbrook, V. K. C. Venema, D. Berry, R. E. Warren, G. Lopardo, R. Auchmann, E. Aguilar, M. J. Menne, C. Gallagher, Z. Hausfather, T. Thorarinsdottir, and P. W. Thorne

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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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