10.13127/ETNA/RADMER
Mereu, Luigi
Luigi
Mereu
https://orcid.org/0000-0003-0303-1171
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Scollo, Simona
Simona
Scollo
https://orcid.org/0000-0001-8704-8629
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Garcia, Alexander
Alexander
Garcia
https://orcid.org/0000-0001-9196-8452
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Sandri, Laura
Laura
Sandri
https://orcid.org/0000-0002-3254-2336
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Bonadonna, Costanza
Costanza
Bonadonna
https://orcid.org/0000-0002-2368-2193
University of Geneva
Marzano, Frank Silvio
Frank Silvio
Marzano
https://orcid.org/0000-0002-5873-204X
Sapienza University of Rome (Uni Sapienza)
A new radar-based statistical model to quantify mass eruption rate of volcanic plumes (RadMER)
RadMER
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
2022
data on column height and mass eruption rate obtained from radar
explosive activity
radar
mass eruption rate
parametric relation
Etna volcano
Mereu, Luigi
Luigi
Mereu
https://orcid.org/0000-0003-0303-1171
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Scollo, Simona
Simona
Scollo
https://orcid.org/0000-0001-8704-8629
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Garcia, Alexander
Alexander
Garcia
https://orcid.org/0000-0001-9196-8452
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Sandri, Laura
Laura
Sandri
https://orcid.org/0000-0002-3254-2336
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Bonadonna, Costanza
Costanza
Bonadonna
https://orcid.org/0000-0002-2368-2193
University of Geneva
Marzano, Frank Silvio
Frank Silvio
Marzano
https://orcid.org/0000-0002-5873-204X
Sapienza University of Rome (Uni Sapienza)
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
https://ror.org/00qps9a02
2022
en
10.1029/2022gl100596
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
1
CC BY 4.0
We combine values of column height HTP and mass eruption rate QM, radar derived, including the associated wind velocity (vW) for several eruptive events of Mt. Etna (Italy). Hence, we use a Monte Carlo Markov Chain approach to fit a parametric model relating HTP, QM and vW. The fitted model can then be used to quickly infer QM from observed HTP and vW. An outstanding feature is that HTP and QM are obtained from the same sensor reducing the overall uncertainty.
Time trend of the radar-based estimates of the mass eruption rate (QM) and top plume height (HTP) for 32 Etna eruptions and the vw data retrieved from the reanalysis data of the ECMWF for the same events. For each event you can find: Time (UTC), top plume height (km); QM (mass eruption rate (kg/s)). Finally, vw is the wind velocity (m/s).
Mt. Etna, Sicily, Italy
European Commission (EC)
https://ror.org/00k4n6c32
731070
EUROVOLC - European Network of Observatories and Research Infrastructures for Volcanology
Ministero dell'Università e della Ricerca (MUR)
https://ror.org/0166hxq48
Pianeta Dinamico: Geoscienze per la comprensione dei meccanismi di funzionamento della Terra e dei conseguenti rischi naturali