Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 21
Articles | Volume 24, issue 21
https://doi.org/10.5194/acp-24-12447-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-12447-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 21
Research article
 | 
11 Nov 2024
Research article |  | 11 Nov 2024

Flow-dependent observation errors for greenhouse gas inversions in an ensemble Kalman smoother

Michael Steiner, Luca Cantarello, Stephan Henne, and Dominik Brunner

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Short summary
Atmospheric greenhouse gas inversions have great potential to independently check reported bottom-up emissions; however they are subject to large uncertainties. It is paramount to address and reduce the largest source of uncertainty, which stems from the representation of atmospheric transport in the models. In this study, we show that the use of a temporally varying flow-dependent atmospheric transport uncertainty can enhance the accuracy of emission estimation in an idealized experiment.
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