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dc.contributor.authorHickey, J
dc.contributor.authorPascal, K
dc.contributor.authorSyers, R
dc.contributor.authorAlshembari, R
dc.date.accessioned2024-07-17T13:46:37Z
dc.date.issued2024-06-28
dc.date.updated2024-07-16T10:13:32Z
dc.description.abstractVolcano GPS networks can capture vital information during volcanic unrest to aid with hazard assessment and eruption forecasting, but can be hindered by their discrete point locations and possibly miss key spatial information. We show how numerical models can reveal controls on spatial deformation signal intensity compared against GPS network design. Using the GPS network at Soufrière Hills Volcano (SHV), Montserrat, and a range of models, we explore expected surface deformation patterns. Peak horizontal deformation is located offshore, highlighting the difficulties with geodetic monitoring on small ocean-island volcanoes. Onshore areas where the deformation signal is expected to be high are also identified. At SHV, topography plays a greater role in altering the relative distribution of surface displacement patterns than subsurface heterogeneity. Our method, which can be adapted for other volcanoes, highlights spatial areas that can be targeted for effective GPS station placement to help improve deformation monitoring efficiency.en_GB
dc.identifier.citationVol. 51, No. 12, article e2024GL108812en_GB
dc.identifier.doihttps://doi.org/10.1029/2024gl108812
dc.identifier.urihttp://hdl.handle.net/10871/136745
dc.identifierORCID: 0000-0002-5391-3415 (Hickey, J)
dc.identifierScopusID: 55780277800 (Hickey, J)
dc.identifierORCID: 0000-0002-4328-298X (Alshembari, R)
dc.language.isoen_USen_GB
dc.publisherAmerican Geophysical Unionen_GB
dc.relation.urlhttps://involc.iavceivolcano.org/engagement-protocols-for-international-collaboration-2en_GB
dc.relation.urlhttps://www.unavco.org/data/gps-gnss/gps-gnss.htmlen_GB
dc.rights© 2024. The Author(s).This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectvolcano deformationen_GB
dc.subjectnumerical modelingen_GB
dc.subjectGPSen_GB
dc.titleTopographical effects on volcano deformation signal intensity: implications for GPS network configurationen_GB
dc.typeArticleen_GB
dc.date.available2024-07-17T13:46:37Z
dc.identifier.issn0094-8276
exeter.article-numberARTN e2024GL108812
dc.descriptionThis is the final version. Available from the American Geophysical Union via the DOI in this record. en_GB
dc.descriptionData Availability Statement: All GPS data supporting this study are not publicly available, but can be obtained from the Montserrat Volcano Observatory (MVO) upon establishment of a signed, mutually-beneficial, collaboration agreement that includes a data license. This policy supports the continuous monitoring work of the MVO, and fosters partnerships respectful of the difficulties of managing a current eruptive episode. The policy is in agreement with the “Best-practice Engagement Protocols for International Collaborations”, produced by the IAVCEI International Network for Collaboration in Volcanology (IAVCEI-INVOLC) commission and endorsed by IAVCEI (https://involc.iavceivolcano.org/engagement-protocols-for-international-collaboration-2). Some GPS data are publicly available in the UNAVCO/EarthScope archive (https://www.unavco.org/data/gps-gnss/gps-gnss.html)en_GB
dc.identifier.eissn1944-8007
dc.identifier.journalGeophysical Research Lettersen_GB
dc.relation.ispartofGeophysical Research Letters, 51(12)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2024-05-07
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-06-28
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-07-17T12:57:00Z
refterms.versionFCDVoR
refterms.dateFOA2024-07-17T13:46:45Z
refterms.panelBen_GB
refterms.dateFirstOnline2024-06-14
exeter.rights-retention-statementyes


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© 2024. The Author(s).This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2024. The Author(s).This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.