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Annual growth rates of column-averaged CO$_2$ inferred from Total Carbon Column Observing Network (TCCON)

Mostafavi Pak, Nasrin ORCID iD icon 1; Hachmeister, Jonas; Rettinger, Markus 2; Buschmann, Matthias; Deutscher, Nicholas M.; Griffith, David W. T.; Iraci, Laura T.; Lan, Xin; McGee, Erin; Morino, Isamu; Pollard, Dave; Roehl, Coleen M.; Strong, Kimberly; Kivi, Rigel; Wennberg, Paul
1 Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)

Abstract:

Monitoring annual atmospheric CO$_2$ 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 CO$_2$ (XCO$_2$) 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 CO$_2$ concentrations, XCO$_2$ 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. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000190974
Veröffentlicht am 25.02.2026
Originalveröffentlichung
DOI: 10.5194/bg-23-1477-2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1726-4189
KITopen-ID: 1000190974
Erschienen in Biogeosciences
Verlag Copernicus Publications
Band 23
Heft 4
Seiten 1477–1495
Vorab online veröffentlicht am 24.02.2026
Nachgewiesen in OpenAlex
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