Multivariate bias corrections of climate simulations: which benefits for which losses?

François, Bastien; Vrac, Mathieu; Cannon, Alex J.; Robin, Yoann; Allard, Denis

doi:https://doi.org/10.5194/esd-11-537-2020

Articles | Volume 11, issue 2

https://doi.org/10.5194/esd-11-537-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esd-11-537-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 2

Research article

|

15 Jun 2020

Research article |

| 15 Jun 2020

Multivariate bias corrections of climate simulations: which benefits for which losses?

Bastien François, Mathieu Vrac, Alex J. Cannon, Yoann Robin, and Denis Allard

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Final revised paper (published on 15 Jun 2020)
Supplement to the final revised paper
Preprint (discussion started on 06 Mar 2020)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Excellent overview of multivariate BC methods', Jakob Zscheischler, 26 Mar 2020
- AC1: 'Response to RC1', Bastien FRANCOIS, 04 May 2020
RC2: 'very useful comparison of methods in a developing area of research', Anonymous Referee #2, 11 Apr 2020
- AC2: 'Response to RC2', Bastien FRANCOIS, 04 May 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (review by editor) (07 May 2020) by Ben Kravitz

AR by Bastien François on behalf of the Authors (08 May 2020) Author's response Manuscript

ED: Publish as is (11 May 2020) by Ben Kravitz

AR by Bastien François on behalf of the Authors (12 May 2020)

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Short summary

Recently, multivariate bias correction (MBC) methods designed to adjust climate simulations have been proposed. However, they use different approaches, leading potentially to different results. Therefore, this study intends to intercompare four existing MBC methods to provide end users with aid in choosing such methods for their applications. To do so, a wide range of evaluation criteria have been used to assess the ability of MBC methods to correct statistical properties of climate models.