Articles | Volume 16, issue 4
https://doi.org/10.5194/cp-16-1469-2020
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, Andrew M. Dolman, and Thomas Laepple

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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (20 Apr 2020) by Denis-Didier Rousseau
AR by Torben Kunz on behalf of the Authors (22 Apr 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (26 May 2020) by Denis-Didier Rousseau
RR by Anonymous Referee #2 (09 Jun 2020)
RR by Anonymous Referee #1 (19 Jun 2020)
ED: Publish subject to technical corrections (29 Jun 2020) by Denis-Didier Rousseau
AR by Torben Kunz on behalf of the Authors (06 Jul 2020)  Manuscript 
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.