A spectral approach to estimating the timescale-dependent uncertainty of paleoclimate records – Part 2: Application and interpretation

Dolman, Andrew M.; Kunz, Torben; Groeneveld, Jeroen; Laepple, Thomas

doi:https://doi.org/10.5194/cp-17-825-2021

Articles | Volume 17, issue 2

https://doi.org/10.5194/cp-17-825-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Paleoclimate data synthesis and analysis of associated uncertainty...

https://doi.org/10.5194/cp-17-825-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 2

Research article

|

08 Apr 2021

Research article |

| 08 Apr 2021

A spectral approach to estimating the timescale-dependent uncertainty of paleoclimate records – Part 2: Application and interpretation

Andrew M. Dolman, Torben Kunz, Jeroen Groeneveld, and Thomas Laepple

Supplement

https://doi.org/10.5194/cp-17-825-2021-supplement

Model code and software

EarthSystemDiagnostics/Psem: Psem-Pub-Rev-1 A. M. Dolman https://doi.org/10.5281/zenodo.4271300

Executable research compendium (ERC)

PSEM - Proxy Spectral Error Model Andrew M. Dolman; Torben Kunz; Thomas Laepple https://doi.org/10.5281/zenodo.4271299

Short summary

Uncertainties in climate proxy records are temporally autocorrelated. By deriving expressions for the power spectra of errors in proxy records, we can estimate appropriate uncertainties for any timescale, for example, for temporally smoothed records or for time slices. Here we outline and demonstrate this approach for climate proxies recovered from marine sediment cores.