bibtype A - Abstract
ARLID 0560828
utime 20231122150745.3
mtime 20220907235959.9
title (primary) (eng) Inverse modelling of volcanic emissions and their use for quantitative dispersion modeling: the 12th March 2021 Etna’s eruption
specification
page_count 2 s.
media_type E
serial
ARLID cav_un_epca*0560827
title 11th International Aerosol Conference
page_num 767-768
publisher
place Athens
name The Hellenic Association for Aerosol Research
year 2022
keyword Inversion techniques
keyword FLEXPART model
keyword Lidar
author (primary)
ARLID cav_un_auth*0435809
name1 Kampouri
name2 A.
country GR
author
ARLID cav_un_auth*0267768
name1 Tichý
name2 Ondřej
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0363740
name1 Evangeliou
name2 N.
country NO
author
ARLID cav_un_auth*0435810
name1 Amiridis
name2 V.
country GR
author
ARLID cav_un_auth*0435811
name1 Solomos
name2 S.
country GR
author
ARLID cav_un_auth*0435812
name1 Gialitaki
name2 A.
country GR
author
ARLID cav_un_auth*0435813
name1 Marinou
name2 E.
country GR
author
ARLID cav_un_auth*0435814
name1 Gkikas
name2 A.
country GR
author
ARLID cav_un_auth*0435815
name1 Proestakis
name2 E.
country GR
author
ARLID cav_un_auth*0435816
name1 Scollo
name2 S.
country IT
author
ARLID cav_un_auth*0435817
name1 Merucci
name2 L.
country IT
author
ARLID cav_un_auth*0435818
name1 Mona
name2 L.
country IT
author
ARLID cav_un_auth*0435819
name1 Papagiannopoulos
name2 N.
country IT
author
ARLID cav_un_auth*0435820
name1 Zanis
name2 P.
country GR
source
url http://library.utia.cas.cz/separaty/2022/AS/tichy-0560828.pdf
cas_special
project
project_id GA20-27939S
agency GA ČR
ARLID cav_un_auth*0391986
abstract (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.
action
ARLID cav_un_auth*0435821
name International Aerosol Conference 2022 /11./
dates 20220904
mrcbC20-s 20220909
place Athens
url https://iac2022.gr/
country GR
RIV BA
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2023
num_of_auth 14
mrcbC52 4 O 4o 20231122150745.3
presentation_type PO
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0333662
confidential S
arlyear 2022
mrcbTft \nSoubory v repozitáři: 0560828.pdf
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0560827 11th International Aerosol Conference 767 768 Athens The Hellenic Association for Aerosol Research 2022