Articles | Volume 16, issue 4
Clim. Past, 16, 1469–1492, 2020
https://doi.org/10.5194/cp-16-1469-2020

Special issue: Paleoclimate data synthesis and analysis of associated uncertainty...

Clim. Past, 16, 1469–1492, 2020
https://doi.org/10.5194/cp-16-1469-2020

Research article 11 Aug 2020

Research article | 11 Aug 2020

A spectral approach to estimating the timescale-dependent uncertainty of paleoclimate records – Part 1: Theoretical concept

Torben Kunz et al.

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Cited articles

Amrhein, D. E.: How large are temporal representativeness errors in paleoclimatology?, Clim. Past, 16, 325–340, https://doi.org/10.5194/cp-16-325-2020, 2020. a, b, c, d, e, f
Balakrishnan, A. V.: On the problem of time jitter in sampling., IRE Trans. Inf. Theory, IT-8, 226–236, 1962. a, b, c, d, e
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Birks, H. J. B. and Seppä, H.: Pollen-based reconstructions of late-Quaternary climate in Europe – progress, problems, and pitfalls, Acta Palaeobot., 44, 317–334, 2004. a
Boers, N., Goswami, B., and Ghil, M.: A complete representation of uncertainties in layer-counted paleoclimatic archives, Clim. Past, 13, 1169–1180, https://doi.org/10.5194/cp-13-1169-2017, 2017. a
Short summary
This paper introduces a method to estimate the uncertainty of climate reconstructions from single sediment proxy records. The method can compute uncertainties as a function of averaging timescale, thereby accounting for the fact that some components of the uncertainty are autocorrelated in time. This is achieved by treating the problem in the spectral domain. Fully analytic expressions are derived. A companion paper (Part 2) complements this with application-oriented examples of the method.