Technical Note: Probabilistically constraining proxy age–depth models within a Bayesian hierarchical reconstruction model

Werner, J. P.; Tingley, M. P.

doi:https://doi.org/10.5194/cp-11-533-2015

Articles | Volume 11, issue 3

https://doi.org/10.5194/cp-11-533-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/cp-11-533-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 11, issue 3

Technical note

|

24 Mar 2015

Technical note |

| 24 Mar 2015

Technical Note: Probabilistically constraining proxy age–depth models within a Bayesian hierarchical reconstruction model

J. P. Werner and M. P. Tingley

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Final revised paper (published on 24 Mar 2015)
Supplement to the final revised paper
Preprint (discussion started on 05 Dec 2014)

Interactive discussion

Status: closed

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

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- Supplement

RC C2282: 'Review', Michel Crucifix, 02 Feb 2015
- AC C2328: 'Reply to the comment by Michel Crucifix', Johannes Werner, 06 Feb 2015
RC C2325: 'Discussion article review', Anonymous Referee #2, 06 Feb 2015
- AC C2346: 'Reply to the anonymous review', Johannes Werner, 10 Feb 2015
SC C2358: 'Revised version of the manuscript', Johannes Werner, 12 Feb 2015

Peer-review completion

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

AR by Johannes Werner on behalf of the Authors (16 Feb 2015) Author's response

ED: Publish as is (02 Mar 2015) by Valérie Masson-Delmotte

AR by Johannes Werner on behalf of the Authors (05 Mar 2015) Manuscript

Short summary

We present a Bayesian approach to simultaneously constrain the age models associated with time-uncertain proxies and inferring past climate in space and time. For the sake of exposition, the discussion focuses on annually resolved climate archives, such as varved lakes, corals, and tree rings, with dating by layer counting. Numerical experiments show that updating the probabilities associated with an ensemble of possible age models reduces uncertainty in the inferred climate.