Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 21
Articles | Volume 26, issue 21
https://doi.org/10.5194/acp-26-15953-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-15953-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 21
Technical note
 | 
11 Nov 2026
Technical note |  | 11 Nov 2026

Technical note: Integrating generative AI with physics-based simulations for probabilistic modelling of volcanic clouds

Leonardo Mingari, Arnau Folch, Heribert Pascual, and Manuel Titos

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Short summary
Forecasting volcanic clouds is challenging because it requires many computationally demanding simulations to capture uncertainty. We use artificial intelligence to generate large numbers of realistic forecasts quickly and inexpensively. Tests show that this approach can reproduce the range of possible volcanic cloud behaviours and improve predictions when combined with observations. This could help scientists and decision-makers better understand volcanic hazards.
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