Preprints
https://doi.org/10.5194/egusphere-2025-4080
https://doi.org/10.5194/egusphere-2025-4080
24 Sep 2025
 | 24 Sep 2025
Status: this preprint is open for discussion and under review for Biogeosciences (BG).

Annual Growth Rates of Column-Averaged CO2 Inferred from Total Carbon Column Observing Network (TCCON)

Nasrin Mostafavi Pak, Jonas Hachmeister, Markus Rettinger, Matthias Buschmann, Nicholas M. Deutscher, David W. T. Griffith, Laura T. Iraci, Xin Lan, Erin McGee, Isamu Morino, Dave Pollard, Coleen M. Roehl, Kimberly Strong, Rigel Kivi, and Paul Wennberg

Abstract. Monitoring annual atmospheric CO2 growth rates is a key constraint on assessing the long-term effectiveness of emission reduction strategies. We analyzed annual growth rates of column-averaged dry-air mole fractions of CO2 (XCO2) using long-term data from 12 sites within the Total Carbon Column Observing Network (TCCON), spanning four regions: the Arctic, two Northern Hemisphere midlatitude bands (40–50° N and 30–40° N), and the Southern Hemisphere. While in situ ground-based measurements provide detailed records of near-surface CO2 concentrations, XCO2 reflects the column-averaged abundance across the entire atmosphere, offering a complementary perspective.

We compared TCCON-derived growth rates with ground-based in situ observations from the Mauna Loa Observatory (MLO). Three calculation methods—Monthly Mean (MM), Fourier Fit residuals (FF), and Dynamic Linear Model (DLM)—were evaluated, with particular attention to the Eureka site, where polar night introduces substantial data gaps. In addition, the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis product was used to assess consistency with TCCON-based growth rates and to evaluate each method’s robustness to missing data. Among the methods tested, the DLM approach proved most resilient to data gaps.

Regionally averaged CO2 growth rates, calculated from 2010 or from the earliest available data through 2024, ranged from approximately 2.33 to 2.40 ppm per year. The most prominent signal was associated with the 2015–2016 El Niño–Southern Oscillation (ENSO) event, during which growth rates increased by up to 1.7 ppm per year. The impact of COVID-19-related emission reductions in 2020 was also examined: a decline of 0.4 ppm per year was observed in the 30–40° N region, whereas other regions showed no significant decline. Correlation analysis between growth rates and ENSO strength revealed significant relationships in the Southern Hemisphere and at Mauna Loa, but not in northern mid- or high-latitude regions.

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Nasrin Mostafavi Pak, Jonas Hachmeister, Markus Rettinger, Matthias Buschmann, Nicholas M. Deutscher, David W. T. Griffith, Laura T. Iraci, Xin Lan, Erin McGee, Isamu Morino, Dave Pollard, Coleen M. Roehl, Kimberly Strong, Rigel Kivi, and Paul Wennberg

Status: open (until 05 Nov 2025)

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Nasrin Mostafavi Pak, Jonas Hachmeister, Markus Rettinger, Matthias Buschmann, Nicholas M. Deutscher, David W. T. Griffith, Laura T. Iraci, Xin Lan, Erin McGee, Isamu Morino, Dave Pollard, Coleen M. Roehl, Kimberly Strong, Rigel Kivi, and Paul Wennberg

Data sets

2020 TCCON Data Release (Version GGG2020) Total Carbon Column Observing Network (TCCON) Team https://doi.org/10.14291/TCCON.GGG2020

Model code and software

JonasHach/dlmhelper: Pre-release of v1.0.0 Jonas Hachmeister https://doi.org/10.5281/zenodo.14772372

Nasrin Mostafavi Pak, Jonas Hachmeister, Markus Rettinger, Matthias Buschmann, Nicholas M. Deutscher, David W. T. Griffith, Laura T. Iraci, Xin Lan, Erin McGee, Isamu Morino, Dave Pollard, Coleen M. Roehl, Kimberly Strong, Rigel Kivi, and Paul Wennberg
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Latest update: 24 Sep 2025
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Short summary
We studied how carbon dioxide (CO2) levels change each year using long-term measurements from twelve sites worldwide. Average growth rates from 2010 to 2024 were about 2.4 ppm/year, with notable year-to-year and regional differences. Natural climate patterns influenced these changes, while temporary shifts in human emissions, such as during COVID‑19, had modest local effects. Monitoring CO2 growth across regions helps track emissions and assess mitigation efforts.
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