Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 15
Articles | Volume 26, issue 15
https://doi.org/10.5194/acp-26-11449-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-11449-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 15
Research article
 | 
14 Aug 2026
Research article |  | 14 Aug 2026

Impacts of the three-dimensional radiative effects on cloud droplet number concentration retrieval and regression-based albedo susceptibility estimates

Adeleke S. Ademakinwa, Zhibo Zhang, Daniel Miller, Kerry G. Meyer, Steven Platnick, Zahid H. Tushar, Sanjay Purushotham, and Jianwu Wang

Viewed

Total article views: 11,797 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
10,472 1,056 269 11,797 225 228
  • HTML: 10,472
  • PDF: 1,056
  • XML: 269
  • Total: 11,797
  • BibTeX: 225
  • EndNote: 228
Views and downloads (calculated since 18 Sep 2025)
Cumulative views and downloads (calculated since 18 Sep 2025)

Viewed (geographical distribution)

Total article views: 11,797 (including HTML, PDF, and XML) Thereof 11,589 with geography defined and 208 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Sep 2026
Download
Short summary
Many satellites measure cloud properties using reflected light from droplets, but most assume simple cloud structures, which can reduce accuracy. Using cloud simulations, we tested how these errors affect droplet number in a given volume and climate studies. We found that while they strongly affect small-scales, at the larger-scales used by satellites the errors mostly cancel out at low- to moderate-liquid water path (LWP) and cloud optical depth regimes, meaning satellite data remain reliable for climate research.
Read more
Share
Altmetrics
Final-revised paper
Preprint