Articles | Volume 26, issue 1
https://doi.org/10.5194/acp-26-427-2026
https://doi.org/10.5194/acp-26-427-2026
Research article
 | 
08 Jan 2026
Research article |  | 08 Jan 2026

Simulating out-of-sample atmospheric transport to enable flux inversions

Nikhil Dadheech and Alexander J. Turner

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Short summary
We developed a generalized emulator of atmospheric transport (FootNet v3) trained over the United States, enabling the emulation of both surface & column-averaged footprints at kilometer-scale resolution. We demonstrate that FootNet v3 generalizes to previously unseen regions and meteorological conditions, enabling accurate out-of-sample simulation of atmospheric transport. Flux inversion case studies show that FootNet matches or exceeds the performance of full-physics models in unseen regions.
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