Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 23, issue 10
Articles | Volume 23, issue 10
https://doi.org/10.5194/acp-23-5867-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-5867-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 2,487 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,905 518 64 2,487 205 87 109
  • HTML: 1,905
  • PDF: 518
  • XML: 64
  • Total: 2,487
  • Supplement: 205
  • BibTeX: 87
  • EndNote: 109
Views and downloads (calculated since 16 Nov 2022)
Cumulative views and downloads (calculated since 16 Nov 2022)

Viewed (geographical distribution)

Total article views: 2,487 (including HTML, PDF, and XML) Thereof 2,487 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Oct 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint