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A novel workflow for streamflow prediction in the presence of missing gauge observations

dc.contributor.authorMbuvha, Ren_US
dc.contributor.authorAdounkpe, JYPen_US
dc.contributor.authorHoungnibo, MCMen_US
dc.contributor.authorMongwe, WTen_US
dc.contributor.authorNikraftar, Zen_US
dc.contributor.authorMarwala, Ten_US
dc.contributor.authorNewlands, NKen_US
dc.date.accessioned2023-10-20T11:01:55Z
dc.date.issued2023en_US
dc.identifier.issn2634-4602en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/91484
dc.publisherCambridge University Press (CUP)en_US
dc.relation.ispartofEnvironmental Data Scienceen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectPatient Safetyen_US
dc.titleA novel workflow for streamflow prediction in the presence of missing gauge observationsen_US
dc.typeArticle
dc.identifier.doi10.1017/eds.2023.11en_US
pubs.notesNot knownen_US
pubs.volume2en_US


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States