Articles | Volume 19, issue 13
https://doi.org/10.5194/gmd-19-5961-2026
https://doi.org/10.5194/gmd-19-5961-2026
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

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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.
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