Articles | Volume 23, issue 10
Research article
26 May 2023
Research article |  | 26 May 2023

Convective organization and 3D structure of tropical cloud systems deduced from synergistic A-Train observations and machine learning

Claudia J. Stubenrauch, Giulio Mandorli, and Elisabeth Lemaitre


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-753', Anonymous Referee #1, 08 Dec 2022
  • RC2: 'Comment on acp-2022-753', Anonymous Referee #2, 15 Jan 2023
  • AC1: 'Author response to Referees on acp-2022-753', Claudia Stubenrauch, 18 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Claudia Stubenrauch on behalf of the Authors (18 Feb 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (17 Mar 2023) by Odran Sourdeval
RR by Anonymous Referee #1 (20 Mar 2023)
ED: Publish as is (17 Apr 2023) by Odran Sourdeval
AR by Claudia Stubenrauch on behalf of the Authors (24 Apr 2023)
Short summary
Organized convection leads to large convective cloud systems and intense rain and may change with a warming climate. Their complete 3D description, attained by machine learning techniques in combination with various satellite observations, together with a cloud system concept, link convection to anvil properties, while convective organization can be identified by the horizontal structure of intense rain.
Final-revised paper