Sedproxy: a forward model for sediment-archived climate proxies

Dolman, Andrew M.; Laepple, Thomas

doi:https://doi.org/10.5194/cp-14-1851-2018

Articles | Volume 14, issue 12

https://doi.org/10.5194/cp-14-1851-2018

© 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-14-1851-2018

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

Articles | Volume 14, issue 12

Research article

|

30 Nov 2018

Research article |

| 30 Nov 2018

Sedproxy: a forward model for sediment-archived climate proxies

Andrew M. Dolman and Thomas Laepple

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Final revised paper (published on 30 Nov 2018)
Supplement to the final revised paper
Preprint (discussion started on 02 Mar 2018)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Referee Comment: SedProxy: a forward model for sediment archived paleoclimate proxy by Andrew M. Dolman and Thomas Laepple', Anonymous Referee #1, 27 Mar 2018
- AC1: 'Reply to reviewer 1', Andrew Dolman, 25 Jun 2018
SC1: 'Comment to manuscript', Paolo Scussolini, 16 Apr 2018
- AC3: 'Response to SC1', Andrew Dolman, 25 Jun 2018
RC2: 'Referee Comment: SedProxy: a forward model for sediment archived paleoclimate proxy by Andrew M. Dolman and Thomas Laepple', Brett Metcalfe, 16 Apr 2018
- AC2: 'Response to reviewer 2.', Andrew Dolman, 25 Jun 2018

Peer-review completion

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

ED: Reconsider after major revisions (06 Jul 2018) by André Paul

AR by Andrew Dolman on behalf of the Authors (06 Sep 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (02 Oct 2018) by André Paul

RR by Brett Metcalfe (31 Oct 2018)

ED: Publish subject to technical corrections (09 Nov 2018) by André Paul

AR by Andrew Dolman on behalf of the Authors (14 Nov 2018) Manuscript

Short summary

Climate proxies from marine sediments provide an important record of past temperatures, but contain noise from many sources. These include mixing by burrowing organisms, seasonal and habitat biases, measurement error, and small sample size effects. We have created a forward model that simulates the creation of proxy records and provides it as a user-friendly R package. It allows multiple sources of uncertainty to be considered together when interpreting proxy climate records.