Data

Data and code for "Neglecting hydrological errors can severely impact predictions of water resource system performance" by McInerney et al (2024)

Adelaide University
McInerney, David ; Thyer, Mark ; Kavetski, Dmitri ; Westra, Seth ; Maier, Holger ; Bennett, Bree ; Leonard, Michael
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25909/31744342.v1&rft.title=Data and code for Neglecting hydrological errors can severely impact predictions of water resource system performance by McInerney et al (2024)&rft.identifier=10.25909/31744342.v1&rft.publisher=Adelaide University&rft.description=This research examines how errors in hydrological streamflow predictions affect risk-based decision-making in water resource systems, particularly when estimating drought risk and system yield. Using a framework applied to Australian catchments, the study shows that ignoring hydrological errors can substantially underestimate water supply risks and lead to overly confident estimates of system performance.&rft.creator=McInerney, David &rft.creator=Thyer, Mark &rft.creator=Kavetski, Dmitri &rft.creator=Westra, Seth &rft.creator=Maier, Holger &rft.creator=Bennett, Bree &rft.creator=Leonard, Michael &rft.edition=1&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Surface water hydrology&rft_subject=hydrological errors&rft_subject=residual error model&rft_subject=drought risk&rft_subject=Rainfall-runoff conceptual models&rft.type=dataset&rft.language=English Access the data
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This research examines how errors in hydrological streamflow predictions affect risk-based decision-making in water resource systems, particularly when estimating drought risk and system yield. Using a framework applied to Australian catchments, the study shows that ignoring hydrological errors can substantially underestimate water supply risks and lead to overly confident estimates of system performance.

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Subjects
Rainfall-runoff conceptual models | Surface water hydrology | drought risk | hydrological errors | residual error model |

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Identifiers
ACN 633 798 857