Galetto, F., Acocella, V., Hooper, A. orcid.org/0000-0003-4244-6652 et al. (1 more author) (2022) Eruption at basaltic calderas forecast by magma flow rate. Nature Geoscience, 15 (7). pp. 580-584. ISSN: 1752-0894
Abstract
Forecasting eruption is the ultimate challenge for volcanology. While there has been some success in forecasting eruptions hours to days beforehand, reliable forecasting on a longer timescale remains elusive. Here we show that magma inflow rate, derived from surface deformation, is an indicator of the probability of magma transfer towards the surface, and thus eruption, for basaltic calderas. Inflow rates ≥0.1 km<sup>3</sup> yr<sup>−1</sup> promote magma propagation and eruption within 1 year in all assessed case studies, whereas rates <0.01 km<sup>3</sup> yr<sup>−1</sup> do not lead to magma propagation in 89% of cases. We explain these behaviours with a viscoelastic model where the relaxation timescale controls whether the critical overpressure for dyke propagation is reached or not. Therefore, while surface deformation alone is a weak precursor of eruption, estimating magma inflow rates at basaltic calderas provides improved forecasting, substantially enhancing our capacity of forecasting weeks to months ahead of a possible eruption.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Jul 2025 15:25 |
Last Modified: | 30 Jul 2025 15:25 |
Status: | Published |
Publisher: | Nature Research |
Identification Number: | 10.1038/s41561-022-00960-z |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:229573 |