1. Adelaide Research & Scholarship
  2. Research Centres and Institutes
  3. Environment Institute
  4. Environment Institute Leaders publications
Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/105969
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHumphrey, G.-
dc.contributor.authorGibbs, M.-
dc.contributor.authorDandy, G.-
dc.contributor.authorMaier, H.-
dc.date.issued2016-
dc.identifier.citationJournal of Hydrology, 2016; 540:623-640-
dc.identifier.issn0022-1694-
dc.identifier.issn1879-2707-
dc.identifier.urihttp://hdl.handle.net/2440/105969-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityGreer B. Humphrey, Matthew S. Gibbs, Graeme C. Dandy, Holger R. Maier-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2016 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.jhydrol.2016.06.026-
dc.subjectMonthly streamflow forecasting; Bayesian artificial neural networks; Conceptual hydrological models; uncertainty; hybrid modelling; South Australia-
dc.titleA hybrid approach to monthly streamflow forecasting: integrating hydrological model outputs into a Bayesian artificial neural network-
dc.typeJournal article-
dc.identifier.doi10.1016/j.jhydrol.2016.06.026-
pubs.publication-statusPublished-
dc.identifier.orcidHumphrey, G. [0000-0001-7782-5463]-
dc.identifier.orcidGibbs, M. [0000-0001-6653-8688]-
dc.identifier.orcidDandy, G. [0000-0001-5846-7365]-
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]-
Appears in Collections:Aurora harvest 8
Environment Institute Leaders publications

Files in This Item:
There are no files associated with this item.
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.