Energy transport, polar amplification, and ITCZ shifts in the GeoMIP G1 ensemble

Russotto, Rick D.; Ackerman, Thomas P.

doi:https://doi.org/10.5194/acp-18-2287-2018

Articles | Volume 18, issue 3

https://doi.org/10.5194/acp-18-2287-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

The Geoengineering Model Intercomparison Project (GeoMIP):...

https://doi.org/10.5194/acp-18-2287-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 3

Research article

|

15 Feb 2018

Research article |

| 15 Feb 2018

Energy transport, polar amplification, and ITCZ shifts in the GeoMIP G1 ensemble

Rick D. Russotto and Thomas P. Ackerman

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Final revised paper (published on 15 Feb 2018)
Preprint (discussion started on 12 Sep 2017)

Interactive discussion

Status: closed

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

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RC1: 'Interesting results - publish subject to minor corrections', Anonymous Referee #1, 28 Sep 2017
RC2: 'good contribution to geoengineering; needs to address limitations of analysis framework', Anonymous Referee #2, 05 Oct 2017
SC1: 'Specific comment on surface upwelling/downwelling LW radiation of BNU-ESM', Duoying Ji, 01 Nov 2017
AC1: 'Responses to reviewer comments and revised manuscript', Rick Russotto, 20 Dec 2017

Peer-review completion

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

AR by Rick Russotto on behalf of the Authors (21 Dec 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (22 Dec 2017) by Ben Kravitz

RR by Anonymous Referee #1 (02 Jan 2018)

ED: Publish as is (04 Jan 2018) by Ben Kravitz

Short summary

We analyzed climate model simulations to investigate what happens to the way the atmosphere moves heat around when the Sun is turned down to compensate for increased greenhouse gas concentrations. We found that the atmosphere transports less heat from the tropics to the poles, which helps us understand the patterns of warming or cooling at different latitudes. We also looked at the sources of uncertainty regarding changes in tropical rainfall patterns and found that clouds are the largest one.