Snow-induced buffering in aerosol–cloud interactions

Michibata, Takuro; Suzuki, Kentaroh; Takemura, Toshihiko

doi:https://doi.org/10.5194/acp-20-13771-2020

Articles | Volume 20, issue 22

https://doi.org/10.5194/acp-20-13771-2020

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

https://doi.org/10.5194/acp-20-13771-2020

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

Articles | Volume 20, issue 22

Research article

|

16 Nov 2020

Research article |

| 16 Nov 2020

Snow-induced buffering in aerosol–cloud interactions

Takuro Michibata, Kentaroh Suzuki, and Toshihiko Takemura

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Final revised paper (published on 16 Nov 2020)
Supplement to the final revised paper
Preprint (discussion started on 31 Mar 2020)
Supplement to the preprint

Interactive discussion

Status: closed

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

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RC1: 'Review of “Snow-induced buffering in aerosol-cloud interactions” by T. Michibata, K. Suzuki, and T. Takemura', Anonymous Referee #1, 15 May 2020
- AC1: 'Reply to Referee #1', Takuro Michibata, 26 Aug 2020
RC2: 'Review of Michibata et al.', Johannes Mülmenstädt, 29 Jun 2020
- AC2: 'Reply to Referee #2', Takuro Michibata, 26 Aug 2020
AC3: 'Tracked Changes', Takuro Michibata, 26 Aug 2020

Peer-review completion

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

AR by Takuro Michibata on behalf of the Authors (26 Aug 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (09 Sep 2020) by Corinna Hoose

RR by Anonymous Referee #1 (28 Sep 2020)

ED: Publish as is (09 Oct 2020) by Corinna Hoose

AR by Takuro Michibata on behalf of the Authors (11 Oct 2020)

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Short summary

This work reveals that prognostic precipitation significantly reduces the magnitude of aerosol–cloud interactions (ERF_aci), mainly due to the collection process associated with snowflakes and underlying cloud droplets. This precipitation-driven buffering effect, which is missing in traditional GCMs, can explain the model–observation discrepancy in ERF_aci. These results underscore the necessity for a prognostic precipitation framework in GCMs for more reliable climate simulations.