Articles | Volume 15, issue 23
Model description paper
12 Dec 2022
Model description paper |  | 12 Dec 2022

Pathfinder v1.0.1: a Bayesian-inferred simple carbon–climate model to explore climate change scenarios

Thomas Bossy, Thomas Gasser, and Philippe Ciais


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2022-802', Juan Antonio Añel, 21 Sep 2022
    • AC1: 'Reply on CEC1', Thomas Bossy, 21 Sep 2022
  • RC1: 'Comment on egusphere-2022-802', Anonymous Referee #1, 22 Sep 2022
    • AC2: 'Reply on RC1', Thomas Bossy, 20 Oct 2022
  • RC2: 'Comment on egusphere-2022-802', Ian Enting, 29 Sep 2022
    • AC3: 'Reply on RC2', Thomas Bossy, 20 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Thomas Bossy on behalf of the Authors (24 Oct 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (07 Nov 2022) by Marko Scholze
RR by Anonymous Referee #1 (17 Nov 2022)
ED: Publish as is (18 Nov 2022) by Marko Scholze
AR by Thomas Bossy on behalf of the Authors (18 Nov 2022)

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
We developed a new simple climate model designed to fill a perceived gap within the existing simple climate models by fulfilling three key requirements: calibration using Bayesian inference, the possibility of coupling with integrated assessment models, and the capacity to explore climate scenarios compatible with limiting climate impacts. Here, we describe the model and its calibration using the latest data from complex CMIP6 models and the IPCC AR6, and we assess its performance.