Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 2
Articles | Volume 18, issue 2
https://doi.org/10.5194/gmd-18-253-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-253-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 2
Model description paper
 | 
21 Jan 2025
Model description paper |  | 21 Jan 2025

Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0

Zebediah Engberg, Roger Teoh, Tristan Abbott, Thomas Dean, Marc E. J. Stettler, and Marc L. Shapiro

Viewed

Total article views: 11,074 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
8,456 2,374 244 11,074 1,999 197 317
  • HTML: 8,456
  • PDF: 2,374
  • XML: 244
  • Total: 11,074
  • Supplement: 1,999
  • BibTeX: 197
  • EndNote: 317
Views and downloads (calculated since 20 Jun 2024)
Cumulative views and downloads (calculated since 20 Jun 2024)

Viewed (geographical distribution)

Total article views: 11,074 (including HTML, PDF, and XML) Thereof 11,012 with geography defined and 62 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 08 Jun 2026
Download
Short summary
Contrails forming in some atmospheric conditions may persist and become strongly warming cirrus, while in other conditions may be neutral or cooling. We develop a contrail forecast model to predict contrail climate forcing for any arbitrary point in space and time and explore integration into flight planning and air traffic management. This approach enables contrail interventions to target high-probability high-climate-impact regions and reduce unintended consequences of contrail management.
Read more
Share