Articles | Volume 19, issue 13
https://doi.org/10.5194/acp-19-8759-2019
https://doi.org/10.5194/acp-19-8759-2019
Research article
 | 
10 Jul 2019
Research article |  | 10 Jul 2019

Arctic cloud annual cycle biases in climate models

Patrick C. Taylor, Robyn C. Boeke, Ying Li, and David W. J. Thompson

Viewed

Total article views: 2,789 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,934 808 47 2,789 275 45 48
  • HTML: 1,934
  • PDF: 808
  • XML: 47
  • Total: 2,789
  • Supplement: 275
  • BibTeX: 45
  • EndNote: 48
Views and downloads (calculated since 21 Dec 2018)
Cumulative views and downloads (calculated since 21 Dec 2018)

Viewed (geographical distribution)

Total article views: 2,789 (including HTML, PDF, and XML) Thereof 2,428 with geography defined and 361 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
Climate projections disagree more in the rapidly changing Arctic than anywhere else. The impact of a changing Arctic spans food and water security, economics, national security, etc. The representation of Arctic clouds within climate models is a critical roadblock towards improving Arctic climate projections. We explore the potential drivers of the diverse representation of the Arctic cloud annual cycle within climate models providing evidence that microphysical processes are a key driver.
Altmetrics
Final-revised paper
Preprint