A new radar‐based statistical model to quantify mass eruption rate of volcanic plumes

Geophysical Research Letters, 2023 - Wiley Online Library
Accurate forecasting of volcanic particle (tephra) dispersal and fallout requires a reliable
estimation of key Eruption Source Parameters (ESPs) such as the Mass Eruption Rate (QM) …
被引用次数：8 相关文章

A New Radar-Based Statistical Model to Quantify Mass Eruption Rate of Volcanic Plumes

L Mereu, S Scollo, A Garcia, L Sandri… - Geophysical …, 2023 - ui.adsabs.harvard.edu
Accurate forecasting of volcanic particle (tephra) dispersal and fallout requires a reliable
estimation of key Eruption Source Parameters (ESPs) such as the Mass Eruption Rate (QM) …
[PDF] unige.ch

[PDF][PDF] A new radar-based statistical model to quantify mass eruption rate of volcanic plumes

L Mereu, S Scollo, A Garcia… - Geophysical …, 2023 - access.archive-ouverte.unige.ch
Accurate forecasting of volcanic particle (tephra) dispersal and fallout requires a reliable
estimation of key Eruption Source Parameters (ESPs) such as the Mass Eruption Rate (QM) …

A New Radar‐Based Statistical Model to Quantify Mass Eruption Rate of Volcanic Plumes.

L Mereu, S Scollo, A Garcia, L Sandri… - Geophysical …, 2023 - search.ebscohost.com
Accurate forecasting of volcanic particle (tephra) dispersal and fallout requires a reliable
estimation of key Eruption Source Parameters (ESPs) such as the Mass Eruption Rate (QM) …

A New Radar‐Based Statistical Model to Quantify Mass Eruption Rate of Volcanic Plumes

L Mereu, S Scollo, A Garcia, L Sandri… - Geophysical …, 2023 - earth-prints.org
Accurate forecasting of volcanic particle (tephra) dispersal and fallout requires a reliable
estimation of key Eruption Source Parameters (ESPs) such as the Mass Eruption Rate (QM) …