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dc.contributor.authorDimitrova-Petrova, Katya
dc.contributor.authorGeris, Josie
dc.contributor.authorWilkinson, Mark E.
dc.contributor.authorRosolem, Rafael
dc.contributor.authorVerrot, Lucile
dc.contributor.authorLilly, Allan
dc.contributor.authorSoulsby, Chris
dc.date.accessioned2021-03-24T00:10:37Z
dc.date.available2021-03-24T00:10:37Z
dc.date.issued2020-07
dc.identifier.citationDimitrova-Petrova , K , Geris , J , Wilkinson , M E , Rosolem , R , Verrot , L , Lilly , A & Soulsby , C 2020 , ' Opportunities and challenges in using catchment-scale storage estimates from cosmic ray neutron sensors for rainfall-runoff modelling ' , Journal of Hydrology , vol. 586 , 124878 . https://doi.org/10.1016/j.jhydrol.2020.124878en
dc.identifier.issn0022-1694
dc.identifier.otherPURE: 159807031
dc.identifier.otherPURE UUID: d4f28c61-7721-4165-afdc-9255a83ea0f7
dc.identifier.otherScopus: 85082973313
dc.identifier.otherWOS: 000544258100040
dc.identifier.urihttps://hdl.handle.net/2164/16113
dc.descriptionAcknowledgements We thank the Macaulay Development Trust and School of Geosciences, University of Aberdeen for KDPs scholarship. JG would like to acknowledge funding from the Royal Society and the Carnegie Trust for the Universities of Scotland (project 70112). JG and LV acknowledge funding from the UK Natural Environment Research Council (project NE/N007611/1 and CC13_080). MW was supported by the Rural & Environment Science & Analytical Services Division of the Scottish Government. RR received funding from the Natural Environment Research Council (projects NE/M003086/1, NE/R004897/1 and NE/T005645/1) and from the International Atomic Energy Agency of the United Nations (IAEA/UN) (project CRP D12014). Special thanks to Carol Taylor, Jessica Fennell, Alice Poli and many more for assistance with fieldwork. Finally, we would like to acknowledge Kenneth Loades for providing us with essential equipment for soil sampling and thank David Finlay and his team for enabling land access in Elsick.en
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofJournal of Hydrologyen
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectCosmic ray neutron sensoren
dc.subjectrainfall-runoff modellingen
dc.subjectstorage-discharge relationshipen
dc.subjectmanaged landscapesen
dc.subjectcatchment hydrologyen
dc.subjectStorage-discharge relationshipen
dc.subjectManaged landscapesen
dc.subjectCatchment hydrologyen
dc.subjectRainfall-runoff modellingen
dc.subjectCALIBRATIONen
dc.subjectFIELDen
dc.subjectASSIMILATIONen
dc.subjectPREDICTIONen
dc.subjectSTREAMFLOWen
dc.subjectWATER STORAGEen
dc.subjectSOIL-MOISTURE ESTIMATIONen
dc.subjectSURFACEen
dc.subjectGENERATIONen
dc.subjectPROBEen
dc.subjectQE Geologyen
dc.subjectWater Science and Technologyen
dc.subjectOtheren
dc.subject70112en
dc.subjectRural and Environmental Science and Analytical Services (RESAS)en
dc.subjectNatural Environment Research Council (NERC)en
dc.subjectNE/N007611/1en
dc.subjectCC13_080en
dc.subjectNE/M003086/1en
dc.subjectNE/R004897/1en
dc.subjectNE/T005645/1en
dc.subject.lccQEen
dc.titleOpportunities and challenges in using catchment-scale storage estimates from cosmic ray neutron sensors for rainfall-runoff modellingen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Geosciencesen
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.contributor.institutionUniversity of Aberdeen.Northern Rivers Institute (NRI)en
dc.contributor.institutionUniversity of Aberdeen.Geology and Geophysicsen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.contributor.institutionUniversity of Aberdeen.Earth Systems and Environmental Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1016/j.jhydrol.2020.124878
dc.date.embargoedUntil2021-03-24
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85082973313&partnerID=8YFLogxKen


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