Understanding shallow volcanic unrest using physics-based modeling constrained by geophysical datasets
Understanding shallow volcanic unrest using physics-based modeling constrained by geophysical datasets
Session ID#: 120429
Session Description:
Identifying and interpreting signals of volcanic unrest in the upper crust is an essential aspect of volcano monitoring. Multidisciplinary datasets such as seismicity, ground deformation, gas emissions, gravity, infrasound, electric resistivity, and so on, have been widely used and played key roles in our understanding of eruption mechanisms. Advancement in both monitoring and fundamental understanding of volcanic processes requires physics-based models to link the dynamics of magmatic systems to geophysical observables. In this session, we invite abstracts that focus on physics-based modeling to interpret geophysical datasets. We welcome novel theoretical, numerical, and experimental studies that elucidate the physics behind various processes during shallow volcanic unrest, especially ones linked to geophysical datasets.
Index Terms:
3618 Magma chamber processes [MINERALOGY AND PETROLOGY]
4316 Physical modeling [NATURAL HAZARDS]
8145 Physics of magma and magma bodies [TECTONOPHYSICS]
8419 Volcano monitoring [VOLCANOLOGY]
Primary Convener: Yan Zhan, Carnegie Institution for Science, Washington, DC, United States
Conveners: Tara Shreve, Carnegie Institution for Science, Washington, DC, United States, Chao Liang, Géoazur, Université Côte d’Azur, IRD, CNRS, Observatoire de la Côte d’Azur, France, Valbonne, France and Josh A A Crozier, University of Oregon, Eugene, OR, United States
Primary Liaison: Yan Zhan, Carnegie Institution for Science, Washington, DC, United States
See more of: Volcanology, Geochemistry and Petrology