Articles | Volume 24, issue 9
https://doi.org/10.5194/acp-24-5603-2024
https://doi.org/10.5194/acp-24-5603-2024
Research article
 | 
15 May 2024
Research article |  | 15 May 2024

Observations of the macrophysical properties of cumulus cloud fields over the tropical western Pacific and their connection to meteorological variables

Michie Vianca De Vera, Larry Di Girolamo, Guangyu Zhao, Robert M. Rauber, Stephen W. Nesbitt, and Greg M. McFarquhar

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2852', Anonymous Referee #1, 03 Jan 2024
  • RC2: 'Comment on egusphere-2023-2852', Anonymous Referee #2, 06 Feb 2024
  • AC1: 'Final response to referee comments on egusphere-2023-2852', Michie Vianca De Vera, 11 Mar 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Michie Vianca De Vera on behalf of the Authors (11 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Mar 2024) by Yi Huang
RR by Anonymous Referee #2 (24 Mar 2024)
RR by Anonymous Referee #1 (24 Mar 2024)
ED: Publish as is (01 Apr 2024) by Yi Huang
AR by Michie Vianca De Vera on behalf of the Authors (01 Apr 2024)  Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Michie Vianca De Vera on behalf of the Authors (13 May 2024)   Author's adjustment   Manuscript
EA: Adjustments approved (13 May 2024) by Yi Huang
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Short summary
Tropical oceanic low clouds remain a dominant source of uncertainty in cloud feedback in climate models due to their macrophysical properties (fraction, size, height, shape, distribution) being misrepresented. High-resolution satellite imagery over the Philippine oceans is used here to characterize cumulus macrophysical properties and their relationship to meteorological variables. Such information can act as a benchmark for cloud models and can improve low-cloud generation in climate models.
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