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AusArray: Toward updatable, high-resolution seismic velocity models of the Australian lithosphere

dc.contributor.authorGorbatov, Alexeien
dc.contributor.authorCzarnota, Karolen
dc.contributor.authorHaynes, Marcusen
dc.contributor.authorHassan, Rakiben
dc.contributor.authorHejrani, Babaken
dc.contributor.authorZhao, Jasonen
dc.contributor.authorSalmon, Michelleen
dc.contributor.authorSambridge, Malcolmen
dc.contributor.authorTkalčić, Hrvojeen
dc.contributor.authorYuan, Huaiyuen
dc.contributor.authorRawlinson, Nicholasen
dc.contributor.authorReading, Anya M.en
dc.contributor.authorKennett, Brian L.N.en
dc.date.accessioned2026-01-01T09:41:58Z
dc.date.available2026-01-01T09:41:58Z
dc.date.issued2019-11-11en
dc.description.abstractIn order to improve exploration success under cover the UNCOVER initiative identified high resolution 3D seismic velocity characterization of the Australian plate as a high priority. To achieve this goal government and academia have united around the Australian passive seismic Array project (AusArray) which aims to obtain a national half degree data coverage and an updateable 3D national velocity model which grows in resolution as data become available.  AusArray unites data collected from the Australian National Seismological Network (ANSN), multiple academic transportable arrays (supported by AuScope and individual grants) as well as the seismometers in schools program. A recent addition has been Geoscience Australia’s Exploring for the Future program (EFTF) which has doubled the national rate of such data collection. Extensive quality-control checks have been applied across this combined dataset to improve the robustness of subsequent tomographic inversion and interpretation. The aim being an updatable national velocity reference model with resolution from depths of a few meters to hundreds of kilometres.  The first stage of lithospheric seismic modelling has been the development of P and S body-wave tomography models. An initial earthquake catalogue of ~26,000 events, dating from 1993 to present, has been developed. This is used to estimate first-arrival times using high-performance routines on the National Computational Infrastructure supercomputer facility. Obtained parametric data were then used in non-linear tomographic inversion with a realistic wave propagation scheme. Resulting P and S tomographic images show a strong correlation with major crustal and lithospheric mantle boundaries. Vp and Vs variation patterns are not always positively correlated thereby providing new insights into the architecture of the Australian plate. Integration with resistivity models derived from magnetotelluric data provide insights into the control of minor phase distribution on the imaged architecture.en
dc.description.sponsorshipAusArray unites data collected from the Australian National Seismological Network (ANSN), multiple academic transportable arrays (supported by AuScope and individual grants) as well as the seismometers in schools program. A recent addition has been Geoscience Australia’s Exploring for the Future program (EFTF) which has doubled the national rate of such data collection. Extensive quality-control checks have been applied across this combined dataset to improve the robustness of subsequent tomographic inversion and interpretation. The aim being an updatable national velocity reference model with resolution from depths of a few meters to hundreds of kilometres.en
dc.description.statusPeer-revieweden
dc.format.extent4en
dc.identifier.issn2202-0586en
dc.identifier.otherORCID:/0000-0001-7072-490X/work/164717537en
dc.identifier.scopus85138675303en
dc.identifier.urihttps://hdl.handle.net/1885/733799639
dc.language.isoenen
dc.relation.ispartofseries2nd Australasian Exploration Geoscience Conference: Data to Discovery (AEGC2019)en
dc.rightsPublisher Copyright: © 2019, Taylor and Francis. All rights reserved.en
dc.sourceASEG Extended Abstractsen
dc.subjectLithospheric structureen
dc.subjectseismic arrayen
dc.titleAusArray: Toward updatable, high-resolution seismic velocity models of the Australian lithosphereen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.contributor.affiliationGorbatov, Alexei; Geoscience Australiaen
local.contributor.affiliationCzarnota, Karol; Geoscience Australiaen
local.contributor.affiliationHaynes, Marcus; Geoscience Australiaen
local.contributor.affiliationHassan, Rakib; Geoscience Australiaen
local.contributor.affiliationHejrani, Babak; Research School of Earth Sciences, ANU College of Science and Medicine, The Australian National Universityen
local.contributor.affiliationZhao, Jason; Geoscience Australiaen
local.contributor.affiliationSalmon, Michelle; Research School of Earth Sciences, ANU College of Science and Medicine, The Australian National Universityen
local.contributor.affiliationSambridge, Malcolm; Research School of Earth Sciences, ANU College of Science and Medicine, The Australian National Universityen
local.contributor.affiliationTkalčić, Hrvoje; Research School of Earth Sciences, ANU College of Science and Medicine, The Australian National Universityen
local.contributor.affiliationYuan, Huaiyu; Macquarie Universityen
local.contributor.affiliationRawlinson, Nicholas; University of Cambridgeen
local.contributor.affiliationReading, Anya M.; Research School of Earth Sciences, ANU College of Science and Medicine, The Australian National Universityen
local.contributor.affiliationKennett, Brian L.N.; School Administration, Research School of Earth Sciences, ANU College of Science and Medicine, The Australian National Universityen
local.identifier.citationvolume2019en
local.identifier.doi10.1080/22020586.2019.12073163en
local.identifier.pure7af78a6a-b442-4688-aa28-27c7412541f0en
local.identifier.urlhttps://www.scopus.com/pages/publications/85138675303en
local.type.statusE-pub ahead of printen

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