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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/111342
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dc.contributor.authorGuo, D.-
dc.contributor.authorWestra, S.-
dc.contributor.authorMaier, H.-
dc.date.issued2018-
dc.identifier.citationJournal of Hydrology, 2018; 556:877-890-
dc.identifier.issn0022-1694-
dc.identifier.issn1879-2707-
dc.identifier.urihttp://hdl.handle.net/2440/111342-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityDanlu Guo, Seth Westra, 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.2016.03.025-
dc.subjectScenario-neutral climate impact study; stochastic generator; WGEN; exposure space; inverse approach; optimization-
dc.titleAn inverse approach to perturb historical rainfall data for scenario-neutral climate impact studies-
dc.typeJournal article-
dc.identifier.doi10.1016/j.jhydrol.2016.03.025-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP150100411-
pubs.publication-statusPublished-
dc.identifier.orcidWestra, S. [0000-0003-4023-6061]-
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]-
Appears in Collections:Aurora harvest 8
Civil and Environmental Engineering publications

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