Articles | Volume 12, issue 4
https://doi.org/10.5194/esd-12-1253-2021
https://doi.org/10.5194/esd-12-1253-2021
Research article
 | 
25 Nov 2021
Research article |  | 25 Nov 2021

Is time a variable like the others in multivariate statistical downscaling and bias correction?

Yoann Robin and Mathieu Vrac

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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 esd-2021-12', Anonymous Referee #1, 18 May 2021
  • RC2: 'Comment on esd-2021-12', Anonymous Referee #2, 19 May 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (12 Jul 2021) by Daniel Kirk-Davidoff
AR by Yoann Robin on behalf of the Authors (13 Jul 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (15 Jul 2021) by Daniel Kirk-Davidoff
RR by Anonymous Referee #3 (06 Aug 2021)
RR by Anonymous Referee #4 (21 Aug 2021)
ED: Publish subject to minor revisions (review by editor) (05 Sep 2021) by Daniel Kirk-Davidoff
AR by Yoann Robin on behalf of the Authors (08 Sep 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (08 Oct 2021) by Daniel Kirk-Davidoff
AR by Yoann Robin on behalf of the Authors (15 Oct 2021)  Manuscript 
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Short summary
We propose a new multivariate downscaling and bias correction approach called time-shifted multivariate bias correction, which aims to correct temporal dependencies in addition to inter-variable and spatial ones. Our method is evaluated in a perfect model experiment context where simulations are used as pseudo-observations. The results show a large reduction of the biases in the temporal properties, while inter-variable and spatial dependence structures are still correctly adjusted.
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