Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 23, issue 23
Articles | Volume 23, issue 23
https://doi.org/10.5194/acp-23-14691-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-14691-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 23
Research article
 | 
29 Nov 2023
Research article |  | 29 Nov 2023

Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model

Zhangcheng Pei, Sonya L. Fiddes, W. John R. French, Simon P. Alexander, Marc D. Mallet, Peter Kuma, and Adrian McDonald

Viewed

Total article views: 1,796 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,493 249 54 1,796 40 49
  • HTML: 1,493
  • PDF: 249
  • XML: 54
  • Total: 1,796
  • BibTeX: 40
  • EndNote: 49
Views and downloads (calculated since 10 Mar 2023)
Cumulative views and downloads (calculated since 10 Mar 2023)

Viewed (geographical distribution)

Total article views: 1,796 (including HTML, PDF, and XML) Thereof 1,778 with geography defined and 18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jan 2025
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
In this paper, we use ground-based observations to evaluate a climate model and a satellite product in simulating surface radiation and investigate how radiation biases are influenced by cloud properties over the Southern Ocean. We find that significant radiation biases exist in both the model and satellite. The cloud fraction and cloud occurrence play an important role in affecting radiation biases. We suggest further development for the model and satellite using ground-based observations.
Read more
Altmetrics
Final-revised paper
Preprint