Articles | Volume 26, issue 1
https://doi.org/10.5194/acp-26-427-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-427-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jan 2026
Research article |
| 08 Jan 2026
| 08 Jan 2026
Simulating out-of-sample atmospheric transport to enable flux inversions
Nikhil Dadheech
Department of Atmospheric and Climate Science, University of Washington, Seattle, WA, USA
Department of Atmospheric and Climate Science, University of Washington, Seattle, WA, USA
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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.
We developed a generalized emulator of atmospheric transport (FootNet v3) trained over the...
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