Articles | Volume 28, issue 3
https://doi.org/10.5194/npg-28-311-2021
https://doi.org/10.5194/npg-28-311-2021
Research article
 | 
29 Jul 2021
Research article |  | 29 Jul 2021

Comparing estimation techniques for temporal scaling in palaeoclimate time series

Raphaël Hébert, Kira Rehfeld, and Thomas Laepple

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Cited articles

Benedict, L. H., Nobach, H., and Tropea, C.: Estimation of turbulent velocity spectra from laser Doppler data, Meas. Sci. Technol., 11, 1089–1104, https://doi.org/10.1088/0957-0233/11/8/301, 2000. a
Berger, W. H. and Heath, G. R.: Vertical mixing in pelagic sediments, J. Mar. Res., 26, 134–143, 1968. a
Braconnot, P., Harrison, S. P., Kageyama, M., Bartlein, P. J., Masson-Delmotte, V., Abe-Ouchi, A., Otto-Bliesner, B., and Zhao, Y.: Evaluation of climate models using palaeoclimatic data, Nat. Clim. Change, 2, 417–424, https://doi.org/10.1038/nclimate1456, 2012. a
Bradley, R. S.: Paleoclimatology, 3rd edn., Academic Press, San Diego, https://doi.org/10.1016/C2009-0-18310-1, 2015. a
Cannon, J. W. and Mandelbrot, B. B.: The Fractal Geometry of Nature, Am. Math. Mon., 91, 594–598, https://doi.org/10.2307/2323761, 1984. a, b
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Short summary
Paleoclimate proxy data are essential for broadening our understanding of climate variability. There remain, however, challenges for traditional methods of variability analysis to be applied to such data, which are usually irregular. We perform a comparative analysis of different methods of scaling analysis, which provide variability estimates as a function of timescales, applied to irregular paleoclimate proxy data.