Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 20
Articles | Volume 15, issue 20
https://doi.org/10.5194/amt-15-6221-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-6221-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 20
Research article
 | 
27 Oct 2022
Research article |  | 27 Oct 2022

3D cloud envelope and cloud development velocity from simulated CLOUD (C3IEL) stereo images

Paolo Dandini, Céline Cornet, Renaud Binet, Laetitia Fenouil, Vadim Holodovsky, Yoav Y. Schechner, Didier Ricard, and Daniel Rosenfeld

Viewed

Total article views: 2,702 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,018 595 89 2,702 60 57
  • HTML: 2,018
  • PDF: 595
  • XML: 89
  • Total: 2,702
  • BibTeX: 60
  • EndNote: 57
Views and downloads (calculated since 21 Mar 2022)
Cumulative views and downloads (calculated since 21 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,702 (including HTML, PDF, and XML) Thereof 2,626 with geography defined and 76 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
3D cloud envelope and development velocity are retrieved from realistic simulations of multi-view CLOUD (C3IEL) images. Cloud development velocity is derived by finding matching features between acquisitions separated by 20 s. The tie points are then mapped from image to space via 3D reconstruction of the cloud envelope obtained from 2 simultaneous images. The retrieved cloud topography as well as the velocities are in good agreement with the estimates obtained from the physical models.
Read more