Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 22
Articles | Volume 25, issue 22
https://doi.org/10.5194/acp-25-16411-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-16411-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 22
Research article
 | 
21 Nov 2025
Research article |  | 21 Nov 2025

The ice supersaturation biases limiting contrail modelling are structured around extratropical depressions

Oliver G. A. Driver, Marc E. J. Stettler, and Edward Gryspeerdt

Viewed

Total article views: 1,240 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,090 122 28 1,240 19 29
  • HTML: 1,090
  • PDF: 122
  • XML: 28
  • Total: 1,240
  • BibTeX: 19
  • EndNote: 29
Views and downloads (calculated since 04 Jul 2025)
Cumulative views and downloads (calculated since 04 Jul 2025)

Viewed (geographical distribution)

Total article views: 1,240 (including HTML, PDF, and XML) Thereof 1,187 with geography defined and 53 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
Contrails are ice clouds caused by planes. They have a warming effect, so are important to model. In humid (ice supersaturated) regions, ice crystals are stable so can persist. However, weather model data doesn't represent ice supersaturated regions well enough. We demonstrate that ice supersaturation modelling is structured by North Atlantic storm systems. Averaging many systems, we link the bias to underling processes being modelled, and gain insight into how the existing data could be used.
Read more
Share
Altmetrics
Final-revised paper
Preprint