Articles | Volume 25, issue 18
https://doi.org/10.5194/acp-25-10907-2025
https://doi.org/10.5194/acp-25-10907-2025
Research article
 | 
22 Sep 2025
Research article |  | 22 Sep 2025

Microphysical fingerprints in anvil cloud albedo

Declan L. Finney, Alan M. Blyth, Paul R. Field, Martin I. Daily, Benjamin J. Murray, Mengyu Sun, Paul J. Connolly, Zhiqiang Cui, and Steven Böing

Viewed

Total article views: 2,472 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,295 145 32 2,472 75 35 55
  • HTML: 2,295
  • PDF: 145
  • XML: 32
  • Total: 2,472
  • Supplement: 75
  • BibTeX: 35
  • EndNote: 55
Views and downloads (calculated since 01 Apr 2025)
Cumulative views and downloads (calculated since 01 Apr 2025)

Viewed (geographical distribution)

Total article views: 2,472 (including HTML, PDF, and XML) Thereof 2,381 with geography defined and 91 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
We present observation-informed modelling from the Deep Convective Microphysics Experiment (DCMEX) to study how environmental conditions and cloud processes affect anvil cloud albedo and radiation. Aerosols influencing cloud droplets or influencing ice formation yield varying radiative effects. We introduce fingerprint metrics to discern these effects. Using detailed observations and modelling, we offer insights into high-cloud radiative effects and feedbacks.
Share
Altmetrics
Final-revised paper
Preprint