Shallow cumulus cloud feedback in large eddy simulations – bridging the gap to storm-resolving models

Radtke, Jule; Mauritsen, Thorsten; Hohenegger, Cathy

doi:https://doi.org/10.5194/acp-21-3275-2021

Articles | Volume 21, issue 5

https://doi.org/10.5194/acp-21-3275-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-3275-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 5

Research article

|

04 Mar 2021

Research article |

| 04 Mar 2021

Shallow cumulus cloud feedback in large eddy simulations – bridging the gap to storm-resolving models

Jule Radtke, Thorsten Mauritsen, and Cathy Hohenegger

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Final revised paper (published on 04 Mar 2021)
Preprint (discussion started on 17 Nov 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Radke et al.', Anonymous Referee #1, 07 Dec 2020
RC2: 'Referee Comment on Radtke et al', Anonymous Referee #2, 16 Dec 2020
AC1: 'Reply to referees', Jule Radtke, 07 Jan 2021

Peer-review completion

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

AR by Jule Radtke on behalf of the Authors (14 Jan 2021) Author's response Manuscript

ED: Publish as is (14 Jan 2021) by Johannes Quaas

Short summary

Shallow trade wind clouds are a key source of uncertainty to projections of the Earth's changing climate. We perform high-resolution simulations of trade cumulus and investigate how the representation and climate feedback of these clouds depend on the specific grid spacing. We find that the cloud feedback is positive when simulated with kilometre but near zero when simulated with hectometre grid spacing. These findings suggest that storm-resolving models may exaggerate the trade cloud feedback.