Articles | Volume 18, issue 9
Clim. Past, 18, 2093–2115, 2022
https://doi.org/10.5194/cp-18-2093-2022
Clim. Past, 18, 2093–2115, 2022
https://doi.org/10.5194/cp-18-2093-2022
Research article
13 Sep 2022
Research article | 13 Sep 2022

Using a process-based dendroclimatic proxy system model in a data assimilation framework: a test case in the Southern Hemisphere over the past centuries

Jeanne Rezsöhazy et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on cp-2021-189', Anonymous Referee #1, 21 Feb 2022
  • RC2: 'Comment on cp-2021-189', Anonymous Referee #2, 01 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (19 May 2022) by Steven Phipps
AR by Jeanne Rezsöhazy on behalf of the Authors (19 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (05 Jun 2022) by Steven Phipps
AR by Jeanne Rezsöhazy on behalf of the Authors (10 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (27 Jun 2022) by Steven Phipps
AR by Jeanne Rezsöhazy on behalf of the Authors (04 Jul 2022)  Author's response    Manuscript
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Short summary
Using statistical tree-growth proxy system models in the data assimilation framework may have limitations. In this study, we successfully incorporate the process-based dendroclimatic model MAIDEN into a data assimilation procedure to robustly compare the outputs of an Earth system model with tree-ring width observations. Important steps are made to demonstrate that using MAIDEN as a proxy system model is a promising way to improve large-scale climate reconstructions with data assimilation.