Preprints
https://doi.org/10.5194/egusphere-2026-1995
https://doi.org/10.5194/egusphere-2026-1995
04 May 2026
 | 04 May 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

A climatological description of atmospheric CO2 concentrations

François-Marie Bréon, Frédéric Chevallier, and Michel Ramonet

Abstract. Atmospheric CO2 concentrations show (i) a global trend, (ii) a seasonal cycle that varies with location and altitude and (iii) inter-annual and synoptic variability. The CO2 atmospheric inversion of the Copernicus Atmosphere Monitoring Service (CAMS) constrained by surface measurements of the gas concentration provides a 4D (spatial+time) description of the CO2 mixing ratio. A comparison of the CAMS modelling against AirCore profiles acquired over France indicates an accuracy on the order of 1 ppm (CO2) at most levels in the atmosphere with larger errors close to the surface. In this paper, we attempt a simple description of the concentration time series where the trend is provided by the Mauna Loa measurement dataset and the seasonal cycle is adjusted by an annual and semi-annual sinusoidal function. Most of the atmospheric concentration variability is captured by this simple modelling. Over France, the difference between simulated concentrations and in-situ (AirCore) measurements are on the order of 1.5 ppm over the free troposphere and higher. The evaluation against column concentration retrievals from the Total Carbon Column Observing Network (TCCON) indicates typical errors better than 1 ppm for the full atmospheric modelling and on the order of 1 ppm for the climatological fit.

The climatological product is updated in near-real time with the Mauna Loa measurements and may be therefore be used for a-priori information for ground-based and satellite based remote sensing of the column-averaged dry air mole fraction of CO2 (XCO2).

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François-Marie Bréon, Frédéric Chevallier, and Michel Ramonet

Status: open (until 15 Jun 2026)

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François-Marie Bréon, Frédéric Chevallier, and Michel Ramonet
François-Marie Bréon, Frédéric Chevallier, and Michel Ramonet
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Short summary
Atmospheric CO2 concentrations show (i) a global trend, (ii) a seasonal cycle that varies with location and altitude and (iii) inter-annual and synoptic variability. Based on a full 4D modelling, this paper proposes a climatological fit that reproduces (i) and (ii). The full modelling and its climatological fit are evaluated against both AirCore CO2 concentration samples and total column from ground based remote sensing. The climatological product provides an estimate of the CO2 concentration.
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