Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 20, issue 5
Articles | Volume 20, issue 5
https://doi.org/10.5194/acp-20-3041-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-3041-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 5
Research article
 | 
13 Mar 2020
Research article |  | 13 Mar 2020

The relationship between low-level cloud amount and its proxies over the globe by cloud type

Jihoon Shin and Sungsu Park

Viewed

Total article views: 2,503 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,755 687 61 2,503 135 78 91
  • HTML: 1,755
  • PDF: 687
  • XML: 61
  • Total: 2,503
  • Supplement: 135
  • BibTeX: 78
  • EndNote: 91
Views and downloads (calculated since 04 Sep 2019)
Cumulative views and downloads (calculated since 04 Sep 2019)

Viewed (geographical distribution)

Total article views: 2,503 (including HTML, PDF, and XML) Thereof 2,379 with geography defined and 124 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jul 2025
Download
Short summary
In this work, we show that the previously identified strong spatiotemporal correlation relationship between the low-level cloud amount (LCA) and its large-scale environmental proxy, the estimated low-level cloud fraction (ELF), holds for various low-level cloud types over the globe rather than for a specific cloud type. However, we also identify several weaknesses of the ELF and suggest a potential pathway to further improve it in the future as a global proxy for LCA.
Read more
Share
Altmetrics
Final-revised paper
Preprint