https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Improving the Reliability of Sub-Seasonal Forecasts of High and Low Flows by Using a Flow-Dependent Nonparametric Model https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48603 Wed 13 Mar 2024 19:13:28 AEDT ]]> Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16956 Wed 11 Apr 2018 11:30:18 AEST ]]> Multi-temporal hydrological residual error modeling for seamless subseasonal streamflow forecasting https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43996 Wed 05 Oct 2022 15:06:56 AEDT ]]> A simplified approach to produce probabilistic hydrological model predictions https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35943 Wed 05 Aug 2020 13:34:13 AEST ]]> Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33492 Wed 04 Sep 2019 09:40:24 AEST ]]> The Importance of Spatiotemporal Variability in Irrigation Inputs for Hydrological Modeling of Irrigated Catchments https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41676 Tue 07 Nov 2023 15:19:27 AEDT ]]> Evaluating post-processing approaches for monthly and seasonal streamflow forecasts https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35254 Thu 04 Jul 2019 14:24:19 AEST ]]> Seamless streamflow forecasting at daily to monthly scales: MuTHRE lets you have your cake and eat it too https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52128 Mon 29 Jan 2024 18:39:50 AEDT ]]> Can Gauss-Newton Algorithms Outperform Stochastic Optimization Algorithms When Calibrating a Highly Parameterized Hydrological Model? A Case Study Using SWAT https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52288 Mon 09 Oct 2023 10:10:49 AEDT ]]> Benefits of explicit treatment of zero flows in probabilistic hydrological modeling of ephemeral catchments https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36713 mid‐ephemeral catchments (5–50% zero flows) the explicit approach improves predictive performance, especially reliability, through better characterization of residual errors; (2) BC0.2 and BC0.5 schemes are Pareto optimal in mid‐ephemeral catchments (when the explicit approach is used): BC0.2 achieves better reliability and is recommended for probabilistic prediction, whereas BC0.5 attains lower volumetric bias; (3) in low‐ephemeral catchments (<5% zero flows) the pragmatic approach is sufficient; (4) in high‐ephemeral catchments (>50% zero flows) theoretical limitations result in poor performance of these particular explicit and pragmatic approaches, and further development is needed. The findings provide guidance on improving probabilistic streamflow predictions in ephemeral catchments.]]> Fri 26 Jun 2020 09:47:43 AEST ]]>