Articles | Volume 16, issue 1
Clim. Past, 16, 65–78, 2020
https://doi.org/10.5194/cp-16-65-2020
Clim. Past, 16, 65–78, 2020
https://doi.org/10.5194/cp-16-65-2020

Research article 09 Jan 2020

Research article | 09 Jan 2020

Joint inversion of proxy system models to reconstruct paleoenvironmental time series from heterogeneous data

Gabriel J. Bowen et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (02 Jun 2019) by Helen McGregor
AR by Gabriel Bowen on behalf of the Authors (02 Aug 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 Aug 2019) by Helen McGregor
RR by Anonymous Referee #1 (13 Sep 2019)
ED: Reconsider after major revisions (26 Sep 2019) by Helen McGregor
AR by Gabriel Bowen on behalf of the Authors (28 Sep 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Oct 2019) by Helen McGregor
RR by Anonymous Referee #1 (07 Nov 2019)
ED: Publish subject to technical corrections (08 Nov 2019) by Helen McGregor
AR by Gabriel Bowen on behalf of the Authors (12 Nov 2019)  Author's response    Manuscript
Download
Short summary
Past climate conditions are reconstructed using indirect and incomplete geological, biological, and geochemical proxy data. We propose that such reconstructions are best obtained by statistical inversion of hierarchical models that represent how multi–proxy observations and calibration data are produced by variation of environmental conditions in time and/or space. These methods extract new information from traditional proxies and provide robust, comprehensive estimates of uncertainty.