Articles | Volume 17, issue 6
https://doi.org/10.5194/gmd-17-2247-2024
https://doi.org/10.5194/gmd-17-2247-2024
Model description paper
 | 
19 Mar 2024
Model description paper |  | 19 Mar 2024

cloudbandPy 1.0: an automated algorithm for the detection of tropical–extratropical cloud bands

Romain Pilon and Daniela I. V. Domeisen

Viewed

Total article views: 756 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
583 136 37 756 40 40
  • HTML: 583
  • PDF: 136
  • XML: 37
  • Total: 756
  • BibTeX: 40
  • EndNote: 40
Views and downloads (calculated since 26 Jul 2023)
Cumulative views and downloads (calculated since 26 Jul 2023)

Viewed (geographical distribution)

Total article views: 756 (including HTML, PDF, and XML) Thereof 733 with geography defined and 23 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
Short summary
This paper introduces a new method for detecting atmospheric cloud bands to identify long convective cloud bands that extend from the tropics to the midlatitudes. The algorithm allows for easy use and enables researchers to study the life cycle and climatology of cloud bands and associated rainfall. This method provides insights into the large-scale processes involved in cloud band formation and their connections between different regions, as well as differences across ocean basins.