1. Adelaide Research & Scholarship

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Results 1-10 of 12 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2021The MuTHRE Model for High Quality Sub-seasonal Streamflow ForecastsMcInerney, D.; Thyer, M.; Kavetski, D.; Laugesen, R.; Tuteja, N.; Kuczera, G.; Hydrology and Water Resources Symposium (HWRS) (31 Aug 2021 - 1 Sep 2021 : virtual online)
2021Can a daily rainfall-runoff model be successfully calibrated to monthly streamflow data?Kavetski, D.; Lerat, J.; McInerney, D.; Thyer, M.; Hydrology and Water Resources Symposium (HWRS) (31 Aug 2021 - 1 Sep 2021 : virtual online)
2021Practical approaches to produce high-quality probabilistic predictions and improve risk-based design makingThyer, M.; McInerney, D.; Kavetski, D.; Hunter, J.; Hydrology and Water Resources Symposium (HWRS) (31 Aug 2021 - 1 Sep 2021 : virtual online)
2022High-quality probabilistic predictions for existing hydrological models with common objective functionsThyer, M.; Hunter, J.; McInerney, D.; Kavetski, D.; EGU General Assembly 2022 (23 May 2022 - 27 May 2022 : Vienna, Austria & Online)
2021Probabilistic streamflow prediction and uncertainty estimation in ephemeral catchmentsKavetski, D.; McInerney, D.; Thyer, M.; Lerat, J.; Kuczera, G.; Hydrology and Water Resources Symposium (HWRS) (31 Aug 2021 - 1 Sep 2021 : virtual online)
2021High-quality probabilistic predictions for existing hydrological models with common objective functionsHunter, J.; Thyer, M.; McInerney, D.; Kavetski, D.; Hydrology and Water Resources Symposium (HWRS) (31 Aug 2021 - 1 Sep 2021 : virtual online)
2018Evaluating post-processing approaches for monthly and seasonal streamflow forecastsWoldemeskel, F.; McInerney, D.; Lerat, J.; Thyer, M.; Kavetski, D.; Shin, D.; Tuteja, N.; Kuczera, G.
2019Benefits of explicit treatment of zero flows in probabilistic hydrological modelling of ephemeral catchmentsMcInerney, D.; Kavetski, D.; Thyer, M.; Lerat, J.; Kuczera, G.
2014Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticityEvin, G.; Thyer, M.; Kavetski, D.; McInerney, D.; Kuczera, G.
2022Predicting wildfire induced changes to runoff: A review and synthesis of modeling approachesPartington, D.; Thyer, M.; Shanafield, M.; McInerney, D.; Westra, S.; Maier, H.; Simmons, C.; Croke, B.; Jakeman, A.J.; Gupta, H.; Kavetski, D.

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