Inverse modelling of volcanic emissions and their use for quantitative dispersion modeling: the 12th March 2021 Etna’s eruption

0560828 - ÚTIA 2023 RIV GR eng A - Abstract
Kampouri, A. - Tichý, Ondřej - Evangeliou, N. - Amiridis, V. - Solomos, S. - Gialitaki, A. - Marinou, E. - Gkikas, A. - Proestakis, E. - Scollo, S. - Merucci, L. - Mona, L. - Papagiannopoulos, N. - Zanis, P.
Inverse modelling of volcanic emissions and their use for quantitative dispersion modeling: the 12th March 2021 Etna’s eruption.
11th International Aerosol Conference. Athens: The Hellenic Association for Aerosol Research, 2022. s. 767-768.
[International Aerosol Conference 2022 /11./. 04.09.2022-09.09.2022, Athens]
R&D Projects: GA ČR GA20-27939S
Institutional support: RVO:67985556
Keywords : Inversion techniques * FLEXPART model * Lidar
OECD category: Applied mathematics
http://library.utia.cas.cz/separaty/2022/AS/tichy-0560828.pdf

Modeling the dispersion of volcanic particles released during explosive eruptions is crucially dependent on the knowledge of the source term of the eruption that is and the source strength as a function of altitude and time. Forecasting volcanic ash transport is vital for aviation but rather inaccurate for quantitative predictions of the fate of volcanic particles emissions. Here we demonstrate an inverse modeling framework that couples the output of a Lagrangian dispersion model with remote sensing observations to estimate the emission rates of volcanic particles released from the Etna eruption.
Permanent Link: https://hdl.handle.net/11104/0333662