Articles | Volume 15, issue 3
https://doi.org/10.5194/gmd-15-1037-2022
https://doi.org/10.5194/gmd-15-1037-2022
Development and technical paper
 | 
03 Feb 2022
Development and technical paper |  | 03 Feb 2022

Particle-filter-based volcanic ash emission inversion applied to a hypothetical sub-Plinian Eyjafjallajökull eruption using the Ensemble for Stochastic Integration of Atmospheric Simulations (ESIAS-chem) version 1.0

Philipp Franke, Anne Caroline Lange, and Hendrik Elbern

Model code and software

ESIAS-chem analysis tool Philipp Franke Anne Caroline Lange Hendrik Elbern https://doi.org/10.5281/zenodo.4736071

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Short summary
The paper proposes an ensemble-based analysis framework (ESIAS-chem) for time- and altitude-resolved volcanic ash emission fluxes and their uncertainty. The core of the algorithm is an ensemble Nelder–Mead optimization algorithm accompanied by a particle filter update. The performed notional experiments demonstrate the high accuracy of ESIAS-chem in analyzing the vertically resolved volcanic ash in the atmosphere. Further, the system is in general able to estimate the emission fluxes properly.