Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/132153
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dc.contributor.authorBennett, B.-
dc.contributor.authorDevanand, A.-
dc.contributor.authorCulley, S.-
dc.contributor.authorWestra, S.-
dc.contributor.authorGuo, D.-
dc.contributor.authorMaier, H.R.-
dc.date.issued2021-
dc.identifier.citationEnvironmental Modelling and Software, 2021; 139:104999-1-104999-18-
dc.identifier.issn1364-8152-
dc.identifier.issn1873-6726-
dc.identifier.urihttps://hdl.handle.net/2440/132153-
dc.descriptionAvailable online 20 February 2021-
dc.description.abstractEffective implementation of a scenario-neutral climate impact assessment relies on the integration of many modelling components at multiple stages: from the generation of appropriate climate boundary conditions that can be used to rigorously ‘stress-test’ a system, to the simulation, visualisation and interpretation of resulting system performance. For systems with complex temporal dynamics, the generation of climate forcing time series combined with the significant simulation and visualisation demands represent a barrier to the wide-scale adoption of scenario-neutral approaches. A unified five-step framework and supporting R-package, foreSIGHT (Systems Insights from the Generation of Hydroclimate Time series), are introduced that enable the application of a scenario-neutral climate impact assessment from appropriate time series generation to the analysis of system performance. The software can be applied to compare both current system performance and selected alternative system management or design options and its application is demonstrated for a case study.-
dc.description.statementofresponsibilityBree Bennett, Anjana Devanand, Sam Culley, Seth Westra, Danlu Guo, Holger R. Maier-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2021 Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.envsoft.2021.104999-
dc.subjectClimate change impact assessment; Scenario-neutral; Bottom-up; Stochastic rainfall; Inverse approach; R-Package-
dc.titleA modelling framework and R-package for evaluating system performance under hydroclimate variability and change-
dc.typeJournal article-
dc.identifier.doi10.1016/j.envsoft.2021.104999-
pubs.publication-statusPublished-
dc.identifier.orcidBennett, B. [0000-0002-2131-088X]-
dc.identifier.orcidCulley, S. [0000-0003-4798-8522]-
dc.identifier.orcidWestra, S. [0000-0003-4023-6061]-
Appears in Collections:Aurora harvest 4
Civil and Environmental Engineering publications

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