Ensemble daily simulations for elucidating cloud–aerosol interactions under a large spread of realistic environmental conditions

Dagan, Guy; Stier, Philip

doi:https://doi.org/10.5194/acp-20-6291-2020

Articles | Volume 20, issue 11

https://doi.org/10.5194/acp-20-6291-2020

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

https://doi.org/10.5194/acp-20-6291-2020

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

Articles | Volume 20, issue 11

Research article

|

03 Jun 2020

Research article |

| 03 Jun 2020

Ensemble daily simulations for elucidating cloud–aerosol interactions under a large spread of realistic environmental conditions

Guy Dagan and Philip Stier

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Final revised paper (published on 03 Jun 2020)
Supplement to the final revised paper
Preprint (discussion started on 18 Dec 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'What is the point to run very fast with 2-Moment bulk scheme when running in the wrong direction?', Anonymous Referee #1, 06 Jan 2020
- AC1: 'Reply', Guy Dagan, 28 Mar 2020
RC2: 'Review', Michael Diamond, 12 Mar 2020
- AC2: 'Reply', Guy Dagan, 28 Mar 2020

Peer-review completion

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

AR by Guy Dagan on behalf of the Authors (28 Mar 2020) Manuscript

ED: Referee Nomination & Report Request started (16 Apr 2020) by Pedro Jimenez-Guerrero

RR by Michael Diamond (17 Apr 2020)

RR by Anonymous Referee #1 (25 Apr 2020)

ED: Publish as is (04 May 2020) by Pedro Jimenez-Guerrero

AR by Guy Dagan on behalf of the Authors (04 May 2020)

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Short summary

Ensemble daily simulations for two separate month-long periods over a region near Barbados were conducted to investigate aerosol effects on cloud properties and the atmospheric energy budget. For each day, two simulations were conducted with low and high cloud droplet number concentrations representing clean and polluted conditions, respectively. These simulations are used to distinguish between properties that are robustly affected by changes in aerosol concentrations and those that are not.