| bibtype |
A -
Abstract
|
| ARLID |
0572063 |
| utime |
20240402213943.0 |
| mtime |
20230522235959.9 |
| DOI |
10.5194/egusphere-egu23-13755 |
| title
(primary) (eng) |
Inversion techniques on volcanic emissions and the use for quantitative dispersion modeling: The case of Etna eruption on 12 March 2021 |
| specification |
| page_count |
1 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0572061 |
| title
|
EGU General Assembly 2023 |
| publisher |
| place |
Munich |
| name |
The European Geosciences Union |
| year |
2023 |
|
|
| keyword |
volcanic emissions |
| author
(primary) |
| ARLID |
cav_un_auth*0435809 |
| name1 |
Kampouri |
| name2 |
A. |
| country |
GR |
|
| author
|
| ARLID |
cav_un_auth*0435810 |
| name1 |
Amiridis |
| name2 |
V. |
| 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*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 |
|
| 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 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 particle 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*0450272 |
| name |
EGU General Assembly 2023 |
| dates |
20230423 |
| mrcbC20-s |
20230428 |
| place |
Vídeň |
| country |
AT |
|
| reportyear |
2024 |
| num_of_auth |
14 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0342940 |
| mrcbC61 |
1 |
| confidential |
S |
| arlyear |
2023 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0572061 EGU General Assembly 2023 The European Geosciences Union 2023 Munich |
|