Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 13
Articles | Volume 19, issue 13
https://doi.org/10.5194/gmd-19-5961-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-5961-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 13
Development and technical paper
 | 
08 Jul 2026
Development and technical paper |  | 08 Jul 2026

TRACE-Python: tracer-based rapid anthropogenic carbon estimation implemented in Python (version 1.0)

Daniel E. Sandborn, Brendan R. Carter, Mark J. Warner, and Larissa M. Dias

Viewed

Total article views: 1,720 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,004 597 119 1,720 344 382
  • HTML: 1,004
  • PDF: 597
  • XML: 119
  • Total: 1,720
  • BibTeX: 344
  • EndNote: 382
Views and downloads (calculated since 04 Feb 2026)
Cumulative views and downloads (calculated since 04 Feb 2026)

Viewed (geographical distribution)

Total article views: 1,720 (including HTML, PDF, and XML) Thereof 1,720 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jul 2026
Download
Short summary
We present a new implementation of our method for estimation of human-created carbon dioxide in the ocean. Tracer-based Rapid Anthropogenic Carbon Estimation relies on transient tracer measurements to infer gas exchange and circulation. Our work implements practical and fundamental improvements increasing accessibility, flexibility, and skill of the method. We provide an updated data product of global ocean carbon inventories spanning the industrial era and a range of future projections.
Read more
Share