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| Preview | Issue Date | Title | Author(s) |
| 2016 | A bottom-up approach to identifying the maximum operational adaptive capacity of water resource systems to a changing climate | Culley, S.; Noble, S.; Yates, A.; Timbs, M.; Westra, S.; Maier, H.R.; Giuliani, M.; Castelletti, A. |
| 2021 | A framework for engaging stakeholders in solving real-world water resources management problems | Wu, W.; Maier, H.R.; Dandy, G.C.; Leonard, R.; Bellette, K.; Cuddy, S.M.; Maheepala, S.; International Congress on Modelling and Simulation (MODSIM) (5 Dec 2021 - 10 Dec 2021 : Sydney, NSW, Australia) |
| 2021 | A modelling framework and R-package for evaluating system performance under hydroclimate variability and change | Bennett, B.; Devanand, A.; Culley, S.; Westra, S.; Guo, D.; Maier, H.R. |
| 2022 | Achieving Robust and Transferable Performance for Conservation-Based Models of Dynamical Physical Systems | Zheng, F.; Chen, J.; Maier, H.R.; Gupta, H. |
| 2020 | An active learning approach for identifying the smallest subset of informative scenarios for robust planning under deep uncertainty | Giudici, F.; Castelletti, A.; Giuliani, M.; Maier, H.R. |
| 2023 | Beyond engineering: A review of reservoir management through the lens of wickedness, competing objectives and uncertainty | Wu, W.; Eamen, L.; Dandy, G.; Razavi, S.; Kuczera, G.; Maier, H.R. |
| 2019 | Data mining to uncover heterogeneous water use behaviors from smart meter data | Cominola, A.; Nguyen, K.; Giuliani, M.; Stewart, R.A.; Maier, H.R.; Castelletti, A. |
| 2019 | Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands | Giudici, F.; Castelletti, A.; Garofalo, E.; Giuliani, M.; Maier, H.R. |
| 2019 | Evaluating the benefits of smart stormwater systems: summary of research outcomes | Thyer, M.A.; Maier, H.R.; Di Matteo, M.; City of Unley, City of Mitcham, Adelaide and Mount Lofty Natural Resource Management Board |
| 2022 | Evaluation Document: GRUMP - Gawler River UNHARMED Mitigation Project | van Delden, H.; Vanhout, R.; Riddel, G.; Elco, K.; Radford, D.; Dandy, G.; Hamers, E.; Maier, H.R.; Zecchin, A.; The Bushfire and Natural Hazards Cooperative Research Centre |
| 2019 | Exploratory scenario analysis for disaster risk reduction: considering alternative pathways in disaster risk assessment | Riddell, G.A.; van Delden, H.; Maier, H.R.; Zecchin, A.C. |
| 2019 | Generating realistic perturbed hydrometeorological time series to inform scenario-neutral climate impact assessments | Culley, S.; Bennett, B.; Westra, S.; Maier, H.R. |
| 2022 | Integrated Assessment of Flood Mitigation Options: GRUMP - Gawler River UNHARMED Mitigation Project | van Delden, H.; Vanhout, R.; Riddell, G.; Koks, E.; Radford, D.; Dandy, G.; Hamers, E.; Maier, H.R.; Zecchin, A.; The Bushfire and Natural Hazards CRC |
| 2019 | Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in | Di Matteo, M.; Maier, H.R.; Dandy, G.C. |
| 2023 | On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization | Maier, H.R.; Zheng, F.; Gupta, H.; Chen, J.; Mai, J.; Savic, D.; Loritz, R.; Wu, W.; Guo, D.; Bennett, A.; Jakeman, A.; Razavi, S.; Zhao, J. |
| 2022 | Pathways Document for Integrated Flood Risk Management: GRUMP - Gawler River UNHARMED Mitigation Project | van Delden, H.; Vanhout, R.; Riddell, G.; Koks, E.; Radford, D.; Dandy, G.; Hamers, E.; Maier, H.R.; Zecchin, A.; The Bushfire and Natural Hazards CRC |
| 2022 | Project Summary and Evaluation: GRUMP - Gawler River UNHARMED Mitigation Project | van Delden, H.; Vanhout, R.; Riddell, G.; Koks, E.; Radford, D.; Dandy, G.; Hamers, E.; Maier, H.R.; Zecchin, A.; The Bushfire and Natural Hazards CRC |
| 2018 | State updating and calibration period selection to improve dynamic monthly streamflow forecasts for an environmental flow management application | Gibbs, M.S.; McInerney, D.; Humphrey, G.; Thyer, M.A.; Maier, H.R.; Dandy, G.C.; Kavetski, D. |
| 2023 | TALKS: A systematic framework for resolving model-data discrepancies | Vilas, M.P.; Egger, F.; Adams, M.P.; Maier, H.R.; Robson, B.; Mestres, J.F.; Stewart, L.; Maxwell, P.; O'Brien, K.R. |
| 1996 | The use of artificial neural networks for the prediction of water quality parameters | Maier, H.R.; Dandy, G.C. |
