What climate signal is contained in decadal- to centennial-scale isotope variations from Antarctic ice cores?

Münch, Thomas; Laepple, Thomas

doi:https://doi.org/10.5194/cp-14-2053-2018

Articles | Volume 14, issue 12

https://doi.org/10.5194/cp-14-2053-2018

© Author(s) 2018. 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-14-2053-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 12

Research article

| Highlight paper

|

20 Dec 2018

Research article | Highlight paper |

| 20 Dec 2018

What climate signal is contained in decadal- to centennial-scale isotope variations from Antarctic ice cores?

Thomas Münch and Thomas Laepple

Download

Final revised paper (published on 20 Dec 2018)
Preprint (discussion started on 27 Aug 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Review of a manuscript "What climate signal is contained in decadal to centennial scale isotope variations from Antarctic ice cores?" by Munch and Laepple', Dmitry Divine, 24 Sep 2018
- AC1: 'Author response on the review by Dmitry Divine', Thomas Münch, 29 Oct 2018
RC2: 'Review of the manuscript by Thomas Münch and Thomas Laepple', Anonymous Referee #2, 28 Sep 2018
- AC2: 'Author response on the review by Anonymous Reviewer #2', Thomas Münch, 29 Oct 2018
EC1: 'Data handling review', Lukas Jonkers, 12 Oct 2018
- AC3: 'Author response on the Data Handling Review', Thomas Münch, 29 Oct 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (review by editor) (31 Oct 2018) by Lukas Jonkers

AR by Thomas Münch on behalf of the Authors (26 Nov 2018) Author's response Manuscript

ED: Publish subject to technical corrections (29 Nov 2018) by Lukas Jonkers

Short summary

Proxy data on climate variations contain noise from many sources and, for reliable estimates, we need to determine those temporal scales at which the climate signal in the proxy record dominates the noise. We developed a method to derive timescale-dependent estimates of temperature proxy signal-to-noise ratios, which we apply and discuss in the context of Antarctic ice-core records but which in general are applicable to a large set of palaeoclimate records.