Sam Poppe
Analog experiments in volcanology: towards multimethod, upscaled, and integrated models
Poppe, Sam; Gilchrist, Johan T.; Breard, Eric Christophe Pascal; Graettinger, Alison; Pansino, Stephen
Authors
Johan T. Gilchrist
Eric Christophe Pascal Breard
Alison Graettinger
Stephen Pansino stephen.g.pansino@durham.ac.uk
Academic Visitor
Abstract
For decades, scaled analog experiments have improved the understanding of a broad range of multiphase volcanological processes in controlled laboratory environments. Successfully modeled processes include magma flow through magma reservoirs, conduits and sheets, associated crustal deformation, lava flow, volcanic plume dynamics, ash cloud dispersion, pyroclast sedimentation, pyroclastic density currents, and debris flows. Prior to the advent of computational modeling in volcanology, analog experiments were the primary method used to test newly developed concepts. Over the past two decades, technological advances have led to increased quantification of model observables, including deformation fields, lava flow rheologies, bubble and particle suspension compositions, runout distances, plume geometries, and rates of ash cloud spreading and sedimentation. For experimental results to yield further insights into volcanic processes and observables directly useful to volcano monitoring efforts, we expect future progress to focus on three major fronts: (1) improved multimethod measurements in experiments; (2) upscaling to near-natural-scale experiments conducted by multidisciplinary teams at internationally shared facilities; and (3) integration with computational models that will guide future geophysical observations and predictions of volcanic activity. This way, analog experiments will bridge gaps between other techniques in volcanology and improve our understanding and forecasting of volcanic activity from the Earth’s mantle to the surface and into the atmosphere.
Citation
Poppe, S., Gilchrist, J. T., Breard, E. C. P., Graettinger, A., & Pansino, S. (2022). Analog experiments in volcanology: towards multimethod, upscaled, and integrated models. Bulletin of Volcanology, 84(5), Article 52. https://doi.org/10.1007/s00445-022-01543-x
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 10, 2022 |
Online Publication Date | May 4, 2022 |
Publication Date | 2022 |
Deposit Date | Jun 28, 2022 |
Publicly Available Date | May 4, 2023 |
Journal | Bulletin of Volcanology |
Print ISSN | 0258-8900 |
Electronic ISSN | 1432-0819 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 84 |
Issue | 5 |
Article Number | 52 |
DOI | https://doi.org/10.1007/s00445-022-01543-x |
Public URL | https://durham-repository.worktribe.com/output/1203016 |
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Copyright Statement
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s00445-022-01543-x
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