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Climate of the Past An interactive open-access journal of the European Geosciences Union
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Volume 14, issue 6 | Copyright
Clim. Past, 14, 947-967, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 29 Jun 2018

Research article | 29 Jun 2018

Assessing the performance of the BARCAST climate field reconstruction technique for a climate with long-range memory

Tine Nilsen et al.
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Cited articles
Beran, J., Feng, Y., Ghosh, S., and Kulik, R.: Long-Memory Processes, Springer, New York, 884 pp., 2013.
Briffa, K. R., Jones, P. D., Bartholin, T. S., Eckstein, D., Schweingruber, F. H., Karlén, W., Zetterberg, P., and Eronen, M.: Fennoscandian summers from ad 500: temperature changes on short and long timescales, Clim. Dynam., 7, 111–119,, 1992.
Briffa, K. R., Osborn, T., Schweingruber, F. H., Harris, I. C., Jones, P. D., Shiyatov, S. G., and Vaganov, E.: Low frequency temperature variations from a northern tree ring density network, J. Geophys. Res.-Atmos., 106, 2929–2941,, 2001.
Christiansen, B.: Reconstructing the NH Mean Temperature: Can Underestimation of Trends and Variability Be Avoided?, J. Climate, 24, 674–692,, 2011.
Christiansen, B. and Ljungqvist, F. C.: Challenges and perspectives for large-scale temperature reconstructions of the past two millennia, Rev. Geophys., 55, 40–96,, 2017.
Publications Copernicus
Short summary
The BARCAST climate field reconstruction method is tested using synthetic data experiments. It is demonstrated that the output reconstructions have altered statistical properties compared with the input data, but they are also not necessarily consistent with the model assumption of the reconstruction method. The conclusion is that the statistical properties of a reconstruction not only reflect the statistics of the real climate, but they may very well be affected by the manipulation of the data.
The BARCAST climate field reconstruction method is tested using synthetic data experiments. It...