Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 1
Articles | Volume 25, issue 1
https://doi.org/10.5194/acp-25-157-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-157-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 1
Research article
 | 
08 Jan 2025
Research article |  | 08 Jan 2025

Correction of ERA5 temperature and relative humidity biases by bivariate quantile mapping for contrail formation analysis

Kevin Wolf, Nicolas Bellouin, Olivier Boucher, Susanne Rohs, and Yun Li

Viewed

Total article views: 9,347 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
7,699 1,488 160 9,347 253 307
  • HTML: 7,699
  • PDF: 1,488
  • XML: 160
  • Total: 9,347
  • BibTeX: 253
  • EndNote: 307
Views and downloads (calculated since 09 Nov 2023)
Cumulative views and downloads (calculated since 09 Nov 2023)

Viewed (geographical distribution)

Total article views: 9,347 (including HTML, PDF, and XML) Thereof 9,347 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 May 2026
Download
Short summary
ERA5 atmospheric reanalysis and airborne in situ observations from IAGOS are compared in terms of the representation of the contrail formation potential and the presence of supersaturation. Differences are traced back to biases in ERA5 relative humidity fields. Those biases are addressed by applying a quantile mapping technique that significantly improved contrail estimation based on post-processed ERA5 data.
Read more
Share
Altmetrics
Final-revised paper
Preprint