Articles | Volume 23, issue 10
https://doi.org/10.5194/acp-23-5867-2023
https://doi.org/10.5194/acp-23-5867-2023
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: 1,606 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,273 299 34 1,606 96 38 31
  • HTML: 1,273
  • PDF: 299
  • XML: 34
  • Total: 1,606
  • Supplement: 96
  • BibTeX: 38
  • EndNote: 31
Views and downloads (calculated since 16 Nov 2022)
Cumulative views and downloads (calculated since 16 Nov 2022)

Viewed (geographical distribution)

Total article views: 1,606 (including HTML, PDF, and XML) Thereof 1,623 with geography defined and -17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 May 2024
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.
Altmetrics
Final-revised paper
Preprint