Articles | Volume 23, issue 8
https://doi.org/10.5194/acp-23-4819-2023
https://doi.org/10.5194/acp-23-4819-2023
Research article
 | 
24 Apr 2023
Research article |  | 24 Apr 2023

Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System

Gillian Young McCusker, Jutta Vüllers, Peggy Achtert, Paul Field, Jonathan J. Day, Richard Forbes, Ruth Price, Ewan O'Connor, Michael Tjernström, John Prytherch, Ryan Neely III, and Ian M. Brooks

Viewed

Total article views: 3,079 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,383 648 48 3,079 362 39 31
  • HTML: 2,383
  • PDF: 648
  • XML: 48
  • Total: 3,079
  • Supplement: 362
  • BibTeX: 39
  • EndNote: 31
Views and downloads (calculated since 09 Sep 2021)
Cumulative views and downloads (calculated since 09 Sep 2021)

Viewed (geographical distribution)

Total article views: 3,079 (including HTML, PDF, and XML) Thereof 3,058 with geography defined and 21 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Jul 2024
Download
Short summary
In this study, we show that recent versions of two atmospheric models – the Unified Model and Integrated Forecasting System – overestimate Arctic cloud fraction within the lower troposphere by comparison with recent remote-sensing measurements made during the Arctic Ocean 2018 expedition. The overabundance of cloud is interlinked with the modelled thermodynamic structure, with strong negative temperature biases coincident with these overestimated cloud layers.
Altmetrics
Final-revised paper
Preprint