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Type: Journal article
Title: A modelling framework and R-package for evaluating system performance under hydroclimate variability and change
Author: Bennett, B.
Devanand, A.
Culley, S.
Westra, S.
Guo, D.
Maier, H.R.
Citation: Environmental Modelling and Software, 2021; 139:104999-1-104999-18
Publisher: Elsevier
Issue Date: 2021
ISSN: 1364-8152
Statement of
Bree Bennett, Anjana Devanand, Sam Culley, Seth Westra, Danlu Guo, Holger R. Maier
Abstract: Effective 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.
Keywords: Climate change impact assessment; Scenario-neutral; Bottom-up; Stochastic rainfall; Inverse approach; R-Package
Description: Available online 20 February 2021
Rights: © 2021 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.envsoft.2021.104999
Appears in Collections:Aurora harvest 4
Civil and Environmental Engineering publications

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