Articles | Volume 22, issue 16
https://doi.org/10.5194/acp-22-10769-2022
https://doi.org/10.5194/acp-22-10769-2022
Research article
 | 
25 Aug 2022
Research article |  | 25 Aug 2022

Global and regional carbon budget for 2015–2020 inferred from OCO-2 based on an ensemble Kalman filter coupled with GEOS-Chem

Yawen Kong, Bo Zheng, Qiang Zhang, and Kebin He

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Latest update: 10 Dec 2024
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Short summary
We developed a Bayesian atmospheric inversion system based on the 4D local ensemble transform Kalman filter (4D-LETKF) algorithm coupled with GEOS-Chem from the latest Orbiting Carbon Observatory-2 (OCO-2) V10r XCO2 retrievals. This is the first adaptation of 4D-LETKF to an OCO-2-based global carbon inversion system. We inferred global gridded carbon fluxes and investigated their magnitudes, variations, and partitioning schemes to understand the global and regional carbon budgets for 2015–2020.
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