Annual growth rates of column-averaged CO <sub>2</sub> inferred from Total Carbon Column Observing Network (TCCON)

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 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 yr−1. 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 yr−1. The impact of COVID-19-related emission reductions in 2020 was also examined: a decline of 0.4 ppm yr−1 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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Journal
Biogeosciences
Published
2026-02-24
DOI
https://doi.org/10.5194/bg-23-1477-2026
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
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article

Annual growth rates of column-averaged CO 2 inferred from Total Carbon Column Observing Network (TCCON)

Nasrin Mostafavi Pak, Nicholas M. Deutscher, Markus Rettinger, Laura T. Iraci et al.
Biogeosciences
Atmospheric and Environmental Gas Dynamics
article

Annual growth rates of column-averaged CO 2 inferred from Total Carbon Column Observing Network (TCCON)

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

Abstract

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 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 yr−1. 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 yr−1. The impact of COVID-19-related emission reductions in 2020 was also examined: a decline of 0.4 ppm yr−1 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.

BiogeosciencesVol. 23(4)
Karlsruhe Institute of Technology (DE), California Institute of Technology (US), Ames Research Center (US), Finnish Meteorological Institute (FI), National Oceanic and Atmospheric Administration (US), Laidlaw College (NZ), Cooperative Institute for Research in Environmental Sciences (US), University of Bremen (DE), University of Toronto (CA), National Institute for Environmental Studies (JP), University of Wollongong (AU), Garmisch-Partenkirchen Medical Center (DE)
National Aeronautics and Space Administration, California Institute of Technology, Strong, Ministry of Business, Innovation and Employment, Environment and Climate Change Canada, Jet Propulsion Laboratory, Armstrong Flight Research Center, Canadian Space Agency, Natural Sciences and Engineering Research Council of Canada, Japan Aerospace Exploration Agency, Eurostars
Openalex Percentile: Top 60%
Atmospheric and Environmental Gas Dynamics
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