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The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support

Environmental modelling & software : with environment data news, 2021-03, Vol.137, p.104954, Article 104954

2021

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An R package for modelling actual, potential and reference evapotranspiration

Environmental modelling & software : with environment data news, 2016-04, Vol.78, p.216-224

2016

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Impact of evapotranspiration process representation on runoff projections from conceptual rainfall‐runoff models

Water resources research, 2017-01, Vol.53 (1), p.435-454

2017

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Water quality modeling in sewer networks: Review and future research directions

Water research (Oxford), 2021-09, Vol.202, p.117419, Article 117419

2021

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Anthropocene flooding: Challenges for science and society

Hydrological processes, 2020-04, Vol.34 (8), p.1996-2000

2020

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Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling

Environmental modelling & software : with environment data news, 2014-04, Vol.54, p.108-127

2014

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A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network

Journal of hydrology (Amsterdam), 2016-09, Vol.540, p.623-640

2016

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Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands

Applied energy, 2019-09, Vol.250, p.605-616

2019

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On the Robustness of Conceptual Rainfall‐Runoff Models to Calibration and Evaluation Data Set Splits Selection: A Large Sample Investigation

Water resources research, 2020-03, Vol.56 (3), p.n/a

2020

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An Adaptive Convergence-Trajectory Controlled Ant Colony Optimization Algorithm With Application to Water Distribution System Design Problems

IEEE transactions on evolutionary computation, 2017-10, Vol.21 (5), p.773-791

2017

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Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones

Hydrology and earth system sciences, 2017-04, Vol.21 (4), p.2107-2126

2017

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Achieving Robust and Transferable Performance for Conservation‐Based Models of Dynamical Physical Systems

Water resources research, 2022-05, Vol.58 (5), p.n/a

2022

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Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

Environmental modelling & software : with environment data news, 2010-08, Vol.25 (8), p.891-909

2010

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An active learning approach for identifying the smallest subset of informative scenarios for robust planning under deep uncertainty

Environmental modelling & software : with environment data news, 2020-05, Vol.127, p.104681, Article 104681

2020

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Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Reviews of geophysics (1985), 2018-12, Vol.56 (4), p.698-740

2018

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An evaluation framework for input variable selection algorithms for environmental data-driven models

Environmental modelling & software : with environment data news, 2014-12, Vol.62, p.33-51

2014

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Improved selection strategy for multi‐objective evolutionary algorithms with application to water distribution optimization problems

Computer-aided civil and infrastructure engineering, 2023-07, Vol.38 (10), p.1290-1306

2023

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On Lack of Robustness in Hydrological Model Development Due to Absence of Guidelines for Selecting Calibration and Evaluation Data: Demonstration for Data‐Driven Models

Water resources research, 2018-02, Vol.54 (2), p.1013-1030

2018

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Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in

Environmental modelling & software : with environment data news, 2019-01, Vol.111, p.340-355

2019

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A modelling framework and R-package for evaluating system performance under hydroclimate variability and change

Environmental modelling & software : with environment data news, 2021-05, Vol.139, p.104999, Article 104999

2021

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Selecting among five common modelling approaches for integrated environmental assessment and management

Environmental modelling & software : with environment data news, 2013-09, Vol.47, p.159-181

2013

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Adaptive, multiobjective optimal sequencing approach for urban water supply augmentation under deep uncertainty

Water resources research, 2015-03, Vol.51 (3), p.1529-1551

2015

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Robust optimization of water infrastructure planning under deep uncertainty using metamodels

Environmental modelling & software : with environment data news, 2017-07, Vol.93, p.92-105

2017

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Neglecting hydrological errors can severely impact predictions of water resource system performance

Journal of hydrology (Amsterdam), 2024-05, Vol.634, Article 130853

2024

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Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource models

Environmental modelling & software : with environment data news, 2015-03, Vol.65, p.15-29

2015

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The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support

An R package for modelling actual, potential and reference evapotranspiration

Impact of evapotranspiration process representation on runoff projections from conceptual rainfall‐runoff models

Water quality modeling in sewer networks: Review and future research directions

Anthropocene flooding: Challenges for science and society

Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling

A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network

Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands

On the Robustness of Conceptual Rainfall‐Runoff Models to Calibration and Evaluation Data Set Splits Selection: A Large Sample Investigation

An Adaptive Convergence-Trajectory Controlled Ant Colony Optimization Algorithm With Application to Water Distribution System Design Problems

Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones

Achieving Robust and Transferable Performance for Conservation‐Based Models of Dynamical Physical Systems

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

An active learning approach for identifying the smallest subset of informative scenarios for robust planning under deep uncertainty

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

An evaluation framework for input variable selection algorithms for environmental data-driven models

Improved selection strategy for multi‐objective evolutionary algorithms with application to water distribution optimization problems

On Lack of Robustness in Hydrological Model Development Due to Absence of Guidelines for Selecting Calibration and Evaluation Data: Demonstration for Data‐Driven Models

Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in

A modelling framework and R-package for evaluating system performance under hydroclimate variability and change

Selecting among five common modelling approaches for integrated environmental assessment and management

Adaptive, multiobjective optimal sequencing approach for urban water supply augmentation under deep uncertainty

Robust optimization of water infrastructure planning under deep uncertainty using metamodels

Neglecting hydrological errors can severely impact predictions of water resource system performance

Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource models

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