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Introduction to Evaluating Probabilistic Predictions

The University of Adelaide
David McInerney (Aggregated by) Dmitri Kavetski (Aggregated by) Dr Mark Thyer (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:doi10.25909/14430905.v1&rft.title=Introduction to Evaluating Probabilistic Predictions&rft.identifier=https://doi.org/10.25909/14430905.v1&rft.publisher=The University of Adelaide&rft.description=This video provides an introduction to the evaluation of probabilistic streamflow predictions from hydrological models. It covers the concepts of reliability, sharpness and bias and the metrics used to evaluate them &rft.creator=David McInerney&rft.creator=Dmitri Kavetski&rft.creator=Dr Mark Thyer&rft.creator=Mark Thyer&rft.date=2023&rft_rights=CC-BY-4.0&rft_subject=Uncertainty&rft_subject=hydrological model&rft_subject=streamflow&rft_subject=Hydrology&rft_subject=Water Resources Engineering&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 an introduction to the evaluation of probabilistic streamflow predictions from hydrological models. It covers the concepts of reliability, sharpness and bias and the metrics used to evaluate them

Issued: 2021-04-16

Created: 2021-04-16

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Hydrology | Hydrology not elsewhere classified | Uncertainty | Water Resources Engineering | Water resources engineering | hydrological model | streamflow |

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