Articles | Volume 22, issue 3
https://doi.org/10.5194/acp-22-1773-2022
https://doi.org/10.5194/acp-22-1773-2022
Research article
 | 
07 Feb 2022
Research article |  | 07 Feb 2022

Data assimilation of volcanic aerosol observations using FALL3D+PDAF

Leonardo Mingari, Arnau Folch, Andrew T. Prata, Federica Pardini, Giovanni Macedonio, and Antonio Costa

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Cited articles

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Short summary
We present a new implementation of an ensemble-based data assimilation method to improve forecasting of volcanic aerosols. This system can be efficiently integrated into operational workflows by exploiting high-performance computing resources. We found a dramatic improvement of forecast quality when satellite retrievals are continuously assimilated. Management of volcanic risk and reduction of aviation impacts can strongly benefit from this research.
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