Journal cover Journal topic
Climate of the Past An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.536
IF3.536
IF 5-year value: 3.967
IF 5-year
3.967
CiteScore value: 6.6
CiteScore
6.6
SNIP value: 1.262
SNIP1.262
IPP value: 3.90
IPP3.90
SJR value: 2.185
SJR2.185
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 40
h5-index40
CP | Articles | Volume 16, issue 4
Clim. Past, 16, 1469–1492, 2020
https://doi.org/10.5194/cp-16-1469-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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.

Related authors

How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores
Thomas Münch, Martin Werner, and Thomas Laepple
Clim. Past Discuss., https://doi.org/10.5194/cp-2020-128,https://doi.org/10.5194/cp-2020-128, 2020
Preprint under review for CP
Short summary
Climatic information archived in ice cores: impact of intermittency and diffusion on the recorded isotopic signal in Antarctica
Mathieu Casado, Thomas Münch, and Thomas Laepple
Clim. Past, 16, 1581–1598, https://doi.org/10.5194/cp-16-1581-2020,https://doi.org/10.5194/cp-16-1581-2020, 2020
Short summary
Re-evaluating 14C dating accuracy in deep-sea sediment archives
Bryan C. Lougheed, Philippa Ascough, Andrew M. Dolman, Ludvig Löwemark, and Brett Metcalfe
Geochronology, 2, 17–31, https://doi.org/10.5194/gchron-2-17-2020,https://doi.org/10.5194/gchron-2-17-2020, 2020
Short summary
Estimating the timescale-dependent uncertainty of paleoclimate records – a spectral approach. Part II: Application and interpretation
Andrew M. Dolman, Torben Kunz, Jeroen Groeneveld, and Thomas Laepple
Clim. Past Discuss., https://doi.org/10.5194/cp-2019-153,https://doi.org/10.5194/cp-2019-153, 2020
Revised manuscript under review for CP
Short summary
Empirical estimate of the signal content of Holocene temperature proxy records
Maria Reschke, Kira Rehfeld, and Thomas Laepple
Clim. Past, 15, 521–537, https://doi.org/10.5194/cp-15-521-2019,https://doi.org/10.5194/cp-15-521-2019, 2019
Short summary

Related subject area

Subject: Proxy Use-Development-Validation | Archive: Marine Archives | Timescale: Holocene
Can morphological features of coccolithophores serve as a reliable proxy to reconstruct environmental conditions of the past?
Giulia Faucher, Ulf Riebesell, and Lennart Thomas Bach
Clim. Past, 16, 1007–1025, https://doi.org/10.5194/cp-16-1007-2020,https://doi.org/10.5194/cp-16-1007-2020, 2020
Short summary
Evidence from giant-clam δ18O of intense El Ninõ–Southern Oscillation-related variability but reduced frequency 3700 years ago
Yue Hu, Xiaoming Sun, Hai Cheng, and Hong Yan
Clim. Past, 16, 597–610, https://doi.org/10.5194/cp-16-597-2020,https://doi.org/10.5194/cp-16-597-2020, 2020
Short summary
Evaluation of isotopes and elements in planktonic foraminifera from the Mediterranean Sea as recorders of seawater oxygen isotopes and salinity
Linda K. Dämmer, Lennart de Nooijer, Erik van Sebille, Jan Haak, and Gert-Jan Reichart
Clim. Past Discuss., https://doi.org/10.5194/cp-2020-26,https://doi.org/10.5194/cp-2020-26, 2020
Revised manuscript accepted for CP
Short summary
Empirical estimate of the signal content of Holocene temperature proxy records
Maria Reschke, Kira Rehfeld, and Thomas Laepple
Clim. Past, 15, 521–537, https://doi.org/10.5194/cp-15-521-2019,https://doi.org/10.5194/cp-15-521-2019, 2019
Short summary
Sedproxy: a forward model for sediment-archived climate proxies
Andrew M. Dolman and Thomas Laepple
Clim. Past, 14, 1851–1868, https://doi.org/10.5194/cp-14-1851-2018,https://doi.org/10.5194/cp-14-1851-2018, 2018
Short summary

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
Berger, W. H. and Heath, G. R.: Vertical mixing in pelagic sediments, J. Mar. Res., 26, 134–143, 1968. a, b
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
Publications Copernicus
Download
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.
This paper introduces a method to estimate the uncertainty of climate reconstructions from...
Citation