Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 1
Articles | Volume 26, issue 1
https://doi.org/10.5194/acp-26-117-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-117-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 1
Research article
 | 
06 Jan 2026
Research article |  | 06 Jan 2026

GCM clouds and actual clouds as seen from different space lidars: towards a long-term assessment of cloud representation in GCMs using lidar simulators

Marie-Laure Roussel, Hélène Chepfer, Zacharie Titus, and Marine Bonazzola

Viewed

Total article views: 2,723 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,415 265 43 2,723 56 55
  • HTML: 2,415
  • PDF: 265
  • XML: 43
  • Total: 2,723
  • BibTeX: 56
  • EndNote: 55
Views and downloads (calculated since 22 Aug 2025)
Cumulative views and downloads (calculated since 22 Aug 2025)

Viewed (geographical distribution)

Total article views: 2,723 (including HTML, PDF, and XML) Thereof 2,705 with geography defined and 18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Mar 2026
Download
Short summary
Clouds are crucial for understanding and predicting climate, yet their processes remain uncertain in global models. We reproduced detailed observations from a lidar and a wind-lidar using an advanced instrument simulator to evaluate how well the model represents clouds. A dedicated module was developed for the wind-lidar. Both instruments reveal comparable cloud biases, confirming its value for improving model evaluation and enabling consistent multi-decade assessments with more recent sensors.
Read more
Share
Altmetrics
Final-revised paper
Preprint