Articles | Volume 16, issue 4
https://doi.org/10.5194/amt-16-1043-2023
https://doi.org/10.5194/amt-16-1043-2023
Research article
 | 
02 Mar 2023
Research article |  | 02 Mar 2023

A semi-Lagrangian method for detecting and tracking deep convective clouds in geostationary satellite observations

William K. Jones, Matthew W. Christensen, and Philip Stier

Viewed

Total article views: 2,932 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,005 843 84 2,932 86 113
  • HTML: 2,005
  • PDF: 843
  • XML: 84
  • Total: 2,932
  • BibTeX: 86
  • EndNote: 113
Views and downloads (calculated since 17 Feb 2022)
Cumulative views and downloads (calculated since 17 Feb 2022)

Viewed (geographical distribution)

Total article views: 2,932 (including HTML, PDF, and XML) Thereof 2,889 with geography defined and 43 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Aug 2025
Download
Short summary
Geostationary weather satellites have been used to detect storm clouds since their earliest applications. However, this task remains difficult as imaging satellites cannot observe the strong vertical winds that are characteristic of storm clouds. Here we introduce a new method that allows us to detect the early development of storms and continue to track them throughout their lifetime, allowing us to study how their early behaviour affects subsequent weather.
Share