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Measuring persistence in time series of temperature anomalies

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Abstract

Studies on persistence are important for the clarification of statistical properties of the analyzed time series and for understanding the dynamics of the systems which create these series. In climatology, the analysis of the autocorrelation function has been the main tool to investigate the persistence of a time series. In this paper, we propose to use a more sophisticated econometric instrument. Using this tool, we obtain an estimate of the persistence in global land and ocean and hemispheric temperature time series.

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Notes

  1. The authors are grateful to an anonymous referee for this comment.

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Acknowledgments

The authors would like to thank an anonymous referee for the useful comments.

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Authors and Affiliations

  1. Department of Computer Engineering, Computer Science and Mathematics, University of L’Aquila, L’Aquila, Italy

    Umberto Triacca

  2. CNR, Institute of Atmospheric Pollution Research, Monterotondo Stazione, Rome, Italy

    Antonello Pasini & Alessandro Attanasio

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  1. Umberto Triacca
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  2. Antonello Pasini
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  3. Alessandro Attanasio
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Correspondence to Alessandro Attanasio.

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Triacca, U., Pasini, A. & Attanasio, A. Measuring persistence in time series of temperature anomalies. Theor Appl Climatol 118, 491–495 (2014). https://doi.org/10.1007/s00704-013-1076-9

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  • DOI: https://doi.org/10.1007/s00704-013-1076-9

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