Articles | Volume 13, issue 2
https://doi.org/10.5194/gmd-13-841-2020
https://doi.org/10.5194/gmd-13-841-2020
Model description paper
 | 
03 Mar 2020
Model description paper |  | 03 Mar 2020

Reconstructing climatic modes of variability from proxy records using ClimIndRec version 1.0

Simon Michel, Didier Swingedouw, Marie Chavent, Pablo Ortega, Juliette Mignot, and Myriam Khodri

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
AR by Anna Mirena Feist-Polner on behalf of the Authors (29 Apr 2019)  Author's response
ED: Referee Nomination & Report Request started (15 May 2019) by Lauren Gregoire
RR by Anonymous Referee #2 (04 Jun 2019)
RR by Anonymous Referee #1 (05 Jun 2019)
RR by Anonymous Referee #3 (08 Jul 2019)
ED: Reconsider after major revisions (09 Jul 2019) by Lauren Gregoire
AR by Simon Michel on behalf of the Authors (21 Aug 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 Oct 2019) by Lauren Gregoire
RR by Anonymous Referee #2 (17 Dec 2019)
ED: Publish subject to minor revisions (review by editor) (20 Dec 2019) by Lauren Gregoire
AR by Simon Michel on behalf of the Authors (31 Dec 2019)  Author's response
ED: Publish subject to technical corrections (17 Jan 2020) by Lauren Gregoire

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Simon Michel on behalf of the Authors (20 Feb 2020)   Author's adjustment  
EA: Adjustments approved (20 Feb 2020) by Lauren Gregoire
Download
Short summary
Natural archives such as sediments, ice, tree rings or speleothems provide indirect observations of past climate at local and regional scales. In this paper, we provide a computational device to properly make evaluated reconstructions of climate indices using these paleo-data. It provides optimizing cross-validation algorithms and four regression methods that are applied to the reconstruction of the North Atlantic Oscillation index and compared in this study.