Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 20
Articles | Volume 19, issue 20
https://doi.org/10.5194/gmd-19-10283-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-10283-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 20
Development and technical paper
 | 
29 Oct 2026
Development and technical paper |  | 29 Oct 2026

EnsAI: an emulator for atmospheric ammonia ensembles

Michael Sitwell

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Short summary
EnsAI is a newly developed artificial intelligence based program for efficiently generating ensembles of atmospheric surface ammonia concentrations that can be used in emissions inversions systems. Ensemble-based data assimilation methods are widely used for assimilation and emissions inversions, but are usually very computationally demanding. Once trained, EnsAI can run thousands of times faster than the physics-based models when run on graphics processing units.
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