A Top‐Down View of Global and Regional Carbon Budgets From an Ensemble of Atmospheric Inversions

作者：Auke van der Woude, Ingrid T. Luijkx, Remco de Kok, Wouter Peters, Frédéric Chevallier, Christian Rödenbeck, Philippe Ciais, Naveen Chandra, Kai Wang, Rajesh Janardanan, Hella van Asperen, Ana Bastos, Anne-Wil Van den Berg, A. Anthony Bloom, Santiago Botía, K. W. Bowman, Josep G. Canadell, Rodrigo Augusto Ferreira De Souza, Cléo Quaresma Dias‐Júnior, Liang Feng, Pierre Friedlingstein, Luciana V. Gatti, Emanuel Gloor, Kentaro Ishijima, Fei Jiang, Zhe Jin, Weimin Ju, Xin Lan, Junjie Liu, Zhiqiang Liu, Toshinobu Machida, Shamil Maksyutov, Andrew C. Manning, Adrien Martinez, G. A. Martins, Kathryn McKain, J. B. Miller, Lorna R. Nayagam, Yosuke Niwa, Paul I. Palmer, Prabir K. Patra, Penelope A. Pickers, Benjamin Poulter, Britton B. Stephens, Colm Sweeney, Steven C. Wofsy, Zhendong Wu, Dongxu Yang, J. Yun, Ning Zeng · 发表于：Global Biogeochemical Cycles · 年份：2026 · DOI：10.1029/2025gb008779 · 被引用次数：1 · 研究领域：Atmospheric and Environmental Gas Dynamics

Abstract Atmospheric inversions provide surface CO 2 flux estimates based on in situ observed atmospheric CO 2 mole fractions or satellite‐based column average CO 2 (XCO 2 ). Here, we provide a detailed assessment of 14 atmospheric CO 2 inversions included in the Global Carbon Budget (GCB2024). We develop tools to further assess and use these inversions in global and regional carbon cycle studies including the GCB and the REgional Carbon Cycle Assessment and Processes (RECCAP2) initiative. We show that the global atmospheric CO 2 growth rate and its interannual variability are reproduced well by all inversions. In contrast to bottom‐up models, inversions provide carbon flux estimates directly constrained by observations. Our ensemble mean estimates of the global sinks for the period 2015–2023 are −1.410.55 PgC yr −1 for the net land sink (including land‐use change emissions) and −2.970.55 PgC yr −1 for the global net ocean sink (uncertainties reported as across inversions; estimates include fossil fuel and river flux adjustments). On regional scales, we find significant spread in flux estimates between inversions across regions, and we present criteria and metrics to derive flux‐observation relation constraints or subselect ensembles of inversions based on independent observations. Furthermore, we use the atmospheric inversions to assess the atmospheric growth rate of CO 2 . We show that the factor used to convert annual observation‐based growth rates to net fluxes is variabl...