https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 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 ]]> Bayesian analysis of input uncertainty in hydrological modeling: 1. theory https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:1276 Wed 11 Apr 2018 16:49:44 AEST ]]> Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17074 Wed 11 Apr 2018 16:26:15 AEST ]]> Comment on 'An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction'' by Newsha K. Ajami et al https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:6842 Wed 11 Apr 2018 14:16:15 AEST ]]> Ancient numerical daemons of conceptual hydrological modeling: 1. fidelity and efficiency of time stepping schemes https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10990 Wed 11 Apr 2018 14:12:36 AEST ]]> Understanding predictive uncertainty in hydrologic modeling: the challenge of identifying input and structural errors https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10942 Wed 11 Apr 2018 14:09:47 AEST ]]> Ancient numerical daemons of conceptual hydrological modeling: 2. impact of time stepping schemes on model analysis and prediction https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10966 Wed 11 Apr 2018 14:00:32 AEST ]]> Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: a case study using Bayesian total error analysis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:6843 Wed 11 Apr 2018 13:16:58 AEST ]]> Elements of a flexible approach for conceptual hydrological modeling: 1. motivation and theoretical development https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15968 Wed 11 Apr 2018 12:35:37 AEST ]]> A limited-memory acceleration strategy for MCMC sampling in hierarchical Bayesian calibration of hydrological models https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10965 Wed 11 Apr 2018 12:21:41 AEST ]]> Toward a reliable decomposition of predictive uncertainty in hydrological modeling: characterizing rainfall errors using conditional simulation https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15366 Wed 11 Apr 2018 11:37:54 AEST ]]> 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 ]]> Impact of temporal data resolution on parameter inference and model identification in conceptual hydrological modeling: insights from an experimental catchment https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13521 Wed 11 Apr 2018 09:19:41 AEST ]]> Pursuing the method of multiple working hypotheses for hydrological modeling https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15969 Wed 11 Apr 2018 09:13:42 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 ]]> Comparison of Newton-type and SCE optimisation algorithms for the calibration of conceptual hydrological models https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33321 Tue 16 Oct 2018 09:48:35 AEDT ]]> 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 ]]> Representing spatial variability of snow water equivalent in hydrologic and land-surface models: a review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15978 Thu 12 Apr 2018 13:20:00 AEST ]]> 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 ]]> Model for CO₂ leakage including multiple geological layers and multiple leaky wells https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7771 Sat 24 Mar 2018 08:41:56 AEDT ]]> Towards a Bayesian total error analysis of conceptual rainfall-runoff models: characterising model error using storm-dependent parameters https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:1042 Sat 24 Mar 2018 08:32:14 AEDT ]]> Confronting input uncertainty in environmental modelling https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:2545 Sat 24 Mar 2018 08:31:04 AEDT ]]> Rainfall uncertainty in hydrological modelling: an evaluation of multiplicative error models https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12511 Sat 24 Mar 2018 08:17:39 AEDT ]]> Hydrological field data from a modeller's perspective: part 2: process-based evaluation of model hypotheses https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13260 Sat 24 Mar 2018 08:15:59 AEDT ]]> Numerical troubles in conceptual hydrology: approximations, absurdities and impact on hypothesis testing https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13262 Sat 24 Mar 2018 08:15:59 AEDT ]]> Assessing the impact of mixing assumptions on the estimation of streamwater mean residence time https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10697 Sat 24 Mar 2018 08:09:54 AEDT ]]> There are no hydrological monsters, just models and observations with large uncertainties! https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10481 Sat 24 Mar 2018 08:09:15 AEDT ]]> Towards a recursive Bayesian total error analysis framework https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21714 Sat 24 Mar 2018 08:06:24 AEDT ]]> The open source RFortran library for accessing R from Fortran, with applications in environmental modelling https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17968 Sat 24 Mar 2018 07:56:22 AEDT ]]> Scrutinizing parameter consistency and predictive uncertainty in rainfall-runoff models using Bayesian total error analysis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:6094 Sat 24 Mar 2018 07:44:29 AEDT ]]> Investigating the impact of predicitive uncertainity in rainfall-runoff modelling on storage reliability estimates using Bayesian total error analysis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:6095 Sat 24 Mar 2018 07:44:25 AEDT ]]> On the role of soil moisture in daytime evolution of temperatures https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28636 Sat 24 Mar 2018 07:38:53 AEDT ]]> Calibration of conceptual hydrological models revisited: 1. overcoming numerical artefacts https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3330 Sat 24 Mar 2018 07:23:20 AEDT ]]> Calibration of conceptual hydrological models revisited: 2. improving optimisation and analysis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3331 Sat 24 Mar 2018 07:23:20 AEDT ]]> Development of a hybrid process and system model for the assessment of wellbore leakage at a geologic CO₂ sequestration site https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:4448 Sat 24 Mar 2018 07:18:06 AEDT ]]> 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 ]]> A robust Gauss-Newton algorithm for the optimization of hydrological models: from standard Gauss-Newton to robust Gauss-Newton https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36293 Mon 23 Mar 2020 16:07:29 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 ]]> A robust Gauss-Newton algorithm for the optimization of hydrological models: benchmarking against industry-standard algorithms https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34912 robustness‐per‐fixed‐cost. A detailed analysis of performance in terms of reliability and cost is provided. Overall, the RGN algorithm is an attractive option for the calibration of hydrological models, and we recommend further investigation of its benefits for broader types of optimization problems.]]> Mon 08 Jul 2019 11:28:03 AEST ]]> 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 ]]>