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dc.contributor.authorDavison, Ben
dc.contributor.authorSole, Andrew John
dc.contributor.authorCowton, Tom
dc.contributor.authorLea, James
dc.contributor.authorSlater, Donald A.
dc.contributor.authorFahrner, Dominik
dc.contributor.authorNienow, Peter
dc.date.accessioned2020-09-07T11:30:09Z
dc.date.available2020-09-07T11:30:09Z
dc.date.issued2020-09
dc.identifier.citationDavison , B , Sole , A J , Cowton , T , Lea , J , Slater , D A , Fahrner , D & Nienow , P 2020 , ' Subglacial drainage evolution modulates seasonal ice flow variability of three tidewater glaciers in Southwest Greenland ' , Journal of Geophysical Research - Earth Surface , vol. 125 , no. 9 , e2019JF005492 . https://doi.org/10.1029/2019JF005492en
dc.identifier.issn2169-9011
dc.identifier.otherPURE: 269645544
dc.identifier.otherPURE UUID: 61bc9c28-a36a-4210-9918-7c363c68bbe1
dc.identifier.otherORCID: /0000-0001-9483-2956/work/80257928
dc.identifier.otherORCID: /0000-0003-1668-7372/work/80257969
dc.identifier.otherORCID: /0000-0001-8394-6149/work/80258004
dc.identifier.otherScopus: 85091450200
dc.identifier.urihttp://hdl.handle.net/10023/20576
dc.descriptionB.J.D was funded in the form of a PhD studentship provided by the Scottish Association for Geosciences, Environment and Society (SAGES) and the University of St Andrews, UK. J.M.L is supported by a UKRI Future Leaders Fellowship (Grant No. MR/S017232/1). D.F would like to acknowledge the support of this work through the EPSRC and ESRC Centre for Doctoral Training on Quantification and Management of Risk and Uncertainty in Complex Systems Environments Grant No. (EP/L015927/1).en
dc.description.abstractSurface‐derived meltwater can access the bed of the Greenland Ice Sheet, causing seasonal velocity variations. The magnitude, timing and net impact on annual average ice flow of these seasonal perturbations depends on the hydraulic efficiency of the subglacial drainage system. We examine the relationships between drainage system efficiency and ice velocity, at three contrasting tidewater glaciers in southwest Greenland during 2014‐2019, using high‐resolution remotely sensed ice velocities, modelled surface melting, subglacial discharge at the terminus and results from buoyant plume modelling. All glaciers underwent a seasonal speed‐up, which usually coincided with surface melt‐onset, and subsequent slow‐down, which usually followed inferred subglacial channelisation. The amplitude and timing of these speed variations differed between glaciers, with the speed‐up being larger and more prolonged at our fastest study glacier. At all glaciers, however, the seasonal variations in ice flow are consistent with inferred changes in hydraulic efficiency of the subglacial drainage system, and qualitatively indicative of a flow regime in which annually‐averaged ice velocity is relatively insensitive to inter‐annual variations in meltwater supply – so‐called ‘ice flow self‐regulation’. These findings suggest that subglacial channel formation may exert a strong control on seasonal ice flow variations, even at fast‐flowing tidewater glaciers.
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofJournal of Geophysical Research - Earth Surfaceen
dc.rightsCopyright ©2020. The Authors. 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
dc.subjectTidewater glacier dynamicsen
dc.subjectSubglacial hydrologyen
dc.subjectIce velocityen
dc.subjectGreenland Ice Sheeten
dc.subjectG Geography (General)en
dc.subjectDASen
dc.subject.lccG1en
dc.titleSubglacial drainage evolution modulates seasonal ice flow variability of three tidewater glaciers in Southwest Greenlanden
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Environmental Change Research Groupen
dc.contributor.institutionUniversity of St Andrews.School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews.Bell-Edwards Geographic Data Instituteen
dc.identifier.doihttps://doi.org/10.1029/2019JF005492
dc.description.statusPeer revieweden


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