Preprints
https://doi.org/10.5194/egusphere-2025-821
https://doi.org/10.5194/egusphere-2025-821
10 Mar 2025
 | 10 Mar 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Mid-Atlantic U.S. observations of radiocarbon in CO2: fossil and biogenic source partitioning and model evaluation

Bianca C. Baier, John B. Miller, Colm Sweeney, Scott Lehman, Chad Wolak, Joshua P. DiGangi, Yonghoon Choi, Kenneth Davis, Sha Feng, and Thomas Lauvaux

Abstract. Accurately quantifying regional anthropogenic CO2 fluxes is fundamental to improving our understanding of the carbon cycle and for creating effective carbon mitigation policies, and the radiocarbon to total carbon ratio in atmospheric CO214CO2) is a robust tracer of fossil fuel CO2 that can discriminate between biogenic and fossil fuel CO2 sources. NASA’s ACT-America airborne mission between 2016 and 2019 aimed to improve the accuracy of regional greenhouse gas flux estimates, through refining understanding and characterization of fluxes and flux uncertainties in models. Δ14CO2 observations from 26 flights are presented for examining seasonal CO2 source partitioning in the Mid-Atlantic U.S. Observed variability in boundary layer CO2 at time scales ranging from intra-day to seasonal was largely driven by biogenic CO2 (CO2bio) variability that ranged from -19.7 ppm in summer to 16.2 ppm in fall, while fossil fuel CO2 (CO2ff) variability remained at 3.3 ± 2.0 ppm. Carbonyl sulfide uptake was well-correlated with CO2bio uptake, and examining this relationship, and that between CO2 and CO2bio variability reinforces the seasonal extent of gross primary productivity response throughout ACT-America. We use airborne Δ14CO2 flask sampling alongside in situ carbon monoxide measurements to calculate high-frequency CO2ff and evaluate the magnitude and diurnal variability of modeled CO2ff, deducing likely transport errors in an example flight. Although ACT-America CO2ff signals were attenuated due to broad source regions sampled, results illustrate the value of D14CO2 sampling and observation-based methodologies for regional CO2 flux attribution and evaluation and improvement of modeled CO2.

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Bianca C. Baier, John B. Miller, Colm Sweeney, Scott Lehman, Chad Wolak, Joshua P. DiGangi, Yonghoon Choi, Kenneth Davis, Sha Feng, and Thomas Lauvaux

Status: open (until 21 Apr 2025)

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Bianca C. Baier, John B. Miller, Colm Sweeney, Scott Lehman, Chad Wolak, Joshua P. DiGangi, Yonghoon Choi, Kenneth Davis, Sha Feng, and Thomas Lauvaux

Data sets

ACT-America In Situ and Flask Data K .J. Davis et al. https://doi.org/10.3334/ORNLDAAC/1593

ACT-America Flask Data C. Sweeney et al. https://doi.org/10.3334/ORNLDAAC/1575

ACT-America Meteorological and Aircraft Navigational Data M. M. Yang et al. https://doi.org/10.3334/ORNLDAAC/1574

NOAA GGGRN D14CO2 and CO Flask Data B. Baier et al. https://doi.org/10.15138/87ny-6277

WRF-Chem Baseline Simulations for North America, 2016-2019 S. Feng et al. https://doi.org/10.3334/ORNLDAAC/1884

Bianca C. Baier, John B. Miller, Colm Sweeney, Scott Lehman, Chad Wolak, Joshua P. DiGangi, Yonghoon Choi, Kenneth Davis, Sha Feng, and Thomas Lauvaux

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Short summary
CO2 radiocarbon content (Δ14CO2) is a unique tracer helps to accurately quantify anthropogenic CO2 emitted into the atmosphere. Δ14CO2 measured in airborne flask samples is used to distinguish fossil versus biogenic CO2 sources. Mid-Atlantic U.S. CO2 variability is found to be driven by the biosphere. Errors in modeled fossil fuel CO2 are evaluated using Δ14CO2 airborne data as an avenue to improving future regional models of atmospheric CO2 transport.
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