A wavelet-based approach to detect climate change on the coherent and turbulent component  of the atmospheric circulation

Faranda, Davide; Defrance, Dimitri

doi:https://doi.org/10.5194/esd-7-517-2016

Articles | Volume 7, issue 2

https://doi.org/10.5194/esd-7-517-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/esd-7-517-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 7, issue 2

Research article

|

20 Jun 2016

Research article |

| 20 Jun 2016

A wavelet-based approach to detect climate change on the coherent and turbulent component of the atmospheric circulation

Davide Faranda and Dimitri Defrance

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Final revised paper (published on 20 Jun 2016)
Supplement to the final revised paper
Preprint (discussion started on 17 Feb 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of ‘A wavelet-based-approach to detect climate change on the coherent and turbulent component of the atmospheric circulation’ by D. Faranda and D. Defrance', Anonymous Referee #1, 22 Mar 2016
- AC1: 'Answer to the referee', Davide Faranda, 23 May 2016
RC2: 'Review', Anonymous Referee #2, 28 Apr 2016
- AC2: 'Answer to the referee', Davide Faranda, 23 May 2016

Peer-review completion

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

ED: Publish subject to minor revisions (review by Editor) (24 May 2016) by Ben Kravitz

AR by Davide Faranda on behalf of the Authors (01 Jun 2016)

ED: Publish as is (02 Jun 2016) by Ben Kravitz

AR by Davide Faranda on behalf of the Authors (06 Jun 2016) Author's response Manuscript

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Short summary

We introduce a general technique to detect a climate change signal in the coherent and turbulent components of the atmospheric circulation. Our analysis suggests that the coherent components (atmospheric waves, long-term oscillations) will experience the greatest changes in future climate, proportionally to the greenhouse gas emission scenario considered.