Find the EGU on

Tag your tweets with #EGU18

GMPV5.1/NH2.11/SM6.03

Volcano monitoring with instrument networks (co-organized)
Convener: Jurgen Neuberg  | Co-Conveners: Thomas R. Walter , Ivan Lokmer , Evgenia Ilyinskaya , Kristín Jónsdóttir , Halldór Geirsson 
Orals
 / Wed, 11 Apr, 08:30–12:00  / 13:30–15:00
Posters
 / Attendance Wed, 11 Apr, 17:30–19:00

A diverse range of volcanic processes produce geophysical signatures,including magma intrusions and dike propagation, caldera deformation,faulting, landslides, explosive activity, fluid flow and more. The
understanding of these processes relies heavily on monitoring data. The extensive use of geophysical networks aimed at seismicity, ground deformation and volcanic gas emissions have significantly improved the
chance to forecasting the onset of volcanic crises or a shift in eruption intensity. Infrasonic arrays, gravity meters and drones,photogrammetry, and thermal observations complement these measurements. Major technological advances have significantly increased both the spatial coverage and temporal resolution of
geochemical and geophysical observations. Accompanying these progresses are new models and processing techniques leading to innovative paradigms for the interpretation and inversion of observational data.

Particularly unusual seismic observations related to volcanic processes cannot be explained by standard seismic interpretations. Hence, we will have a particular emphasis on “unusual” seismic signals recorded on volcanoes. These signals may be related to the deformation of the volcanic edifice and the seismic response to it, where complex volcanic processes serve as a modulator of the stress field. As they may look very different to classic earthquake seismicity they can only be interpreted in the framework of a multidisciplinary approach.

Within this context, this session aims at bringing together a multidisciplinary audience to discuss the integration of volcanological observations with monitoring data, the most recent innovations in monitoring approaches and present observations, methods
and models that increase our understanding of volcanic processes, with special attention to the problems involved in forecasting both eruptive events and the shift in eruption intensity.

We encourage submission of papers that are easily understandable to a broad, multidisciplinary audience.