Nature Communications (Oct 2024)

A regression-based approach to the CO2 airborne fraction

  • Mikkel Bennedsen,
  • Eric Hillebrand,
  • Siem Jan Koopman

DOI
https://doi.org/10.1038/s41467-024-52728-1
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 9

Abstract

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Abstract The global fraction of anthropogenically emitted carbon dioxide (CO2) that stays in the atmosphere, the CO2 airborne fraction, has been fluctuating around a constant value over the period 1959 to 2022. The consensus estimate of the airborne fraction is around 44%. In this study, we show that the conventional estimator of the airborne fraction, based on a ratio of changes in atmospheric CO2 concentrations and CO2 emissions, suffers from a number of statistical deficiencies. We propose an alternative regression-based estimator of the airborne fraction that does not suffer from these deficiencies. Our empirical analysis leads to an estimate of the airborne fraction over 1959–2022 of 47.0% (± 1.1%; 1σ), implying a higher, and better constrained, estimate than the current consensus. Using climate model output, we show that a regression-based approach provides sensible estimates of the airborne fraction, also in future scenarios where emissions are at or near zero.