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Abstract

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

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.

: 11th International Aerosol Conference, p. 767-768

: International Aerosol Conference 2022 /11./, (Athens, GR, 20220904)

: GA20-27939S, GA ČR

: Inversion techniques, FLEXPART model, Lidar

: http://library.utia.cas.cz/separaty/2022/AS/tichy-0560828.pdf

(eng): 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.

: BA

: 10102

07.01.2019 - 08:39