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Guidance on Enhancing Probabilistic Predictions

The University of Adelaide
David McInerney (Aggregated by) Dmitri Kavetski (Aggregated by) Jason Hunter (Aggregated by) Mark Thyer (Aggregated by)
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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:doi10.25909/14430965.v1&rft.title=Guidance on Enhancing Probabilistic Predictions&rft.identifier=https://doi.org/10.25909/14430965.v1&rft.publisher=The University of Adelaide&rft.description=This video provides guidance on enhancing probabilistic predictions of streamflow from hydrological models. It provides key recommendations on residual error model selection and also guidance on selection of residual error model parameters to provide high quality probabilistic predictions from streamflow&rft.creator=David McInerney&rft.creator=Dmitri Kavetski&rft.creator=Jason Hunter&rft.creator=Mark Thyer&rft.date=2023&rft_rights=CC-BY-4.0&rft_subject=hydrological model&rft_subject=uncertatiny&rft_subject=streamflow predictions&rft_subject=floods&rft_subject=droughts&rft_subject=Surfacewater Hydrology&rft_subject=Hydrology&rft_subject=Water Resources Engineering&rft_subject=Surface water hydrology&rft_subject=Hydrology not elsewhere classified&rft_subject=Water resources engineering&rft.type=dataset&rft.language=English Access the data
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This video provides guidance on enhancing probabilistic predictions of streamflow from hydrological models. It provides key recommendations on residual error model selection and also guidance on selection of residual error model parameters to provide high quality probabilistic predictions from streamflow

Issued: 2021-04-16

Created: 2021-04-16

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Subjects
Hydrology | Hydrology not elsewhere classified | Surface water hydrology | Surfacewater Hydrology | Water Resources Engineering | Water resources engineering | droughts | floods | hydrological model | streamflow predictions | uncertatiny |

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