Articles | Volume 18, issue 12
Research article
14 Dec 2022
Research article |  | 14 Dec 2022

Climate change detection and attribution using observed and simulated tree-ring width

Jörg Franke, Michael N. Evans, Andrew Schurer, and Gabriele C. Hegerl


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on cp-2021-80', Anonymous Referee #1, 11 Oct 2021
  • RC2: 'Comment on cp-2021-80', Kevin Anchukaitis, 28 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (26 May 2022) by Nerilie Abram
AR by Jörg Franke on behalf of the Authors (16 Jun 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (09 Aug 2022) by Nerilie Abram
AR by Jörg Franke on behalf of the Authors (08 Sep 2022)  Author's response   Manuscript 
Short summary
Detection and attribution is a statistical method to evaluate if external factors or random variability have caused climatic changes. We use for the first time a comparison of simulated and observed tree-ring width that circumvents many limitations of previous studies relying on climate reconstructions. We attribute variability in temperature-limited trees to strong volcanic eruptions and for the first time detect a spatial pattern in the growth of moisture-sensitive trees after eruptions.