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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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Enhancing the Accuracy and Temporal Transferability of Irrigated Cropping Field Classification Using Optical Remote Sensing Imagery

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.997

2022

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Parsimonious Gap-Filling Models for Sub-Daily Actual Evapotranspiration Observations from Eddy-Covariance Systems

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (5), p.1286

2022

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Understanding event runoff coefficient variability across Australia using the hydroEvents R package

Hydrological processes, 2022-04, Vol.36 (4), p.n/a

2022

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A simulation-based approach to assess the power of trend detection in high- and low-frequency water quality records

Environmental monitoring and assessment, 2020-10, Vol.192 (10), p.628-628, Article 628

2020

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Can hydraulic measures of river conditions improve our ability to predict ecological responses to changing flows? Flow velocity and spawning of an iconic native Australian fish

Frontiers in environmental science, 2022-11, Vol.10

2022

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An inverse approach to perturb historical rainfall data for scenario-neutral climate impact studies

Journal of hydrology (Amsterdam), 2018-01, Vol.556, p.877-890

2018

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Assessing the Potential Robustness of Conceptual Rainfall‐Runoff Models Under a Changing Climate

Water resources research, 2018-07, Vol.54 (7), p.5030-5049

2018

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Use of a scenario-neutral approach to identify the key hydro-meteorological attributes that impact runoff from a natural catchment

Journal of hydrology (Amsterdam), 2017-11, Vol.554, p.317-330

2017

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Diverging projections for flood and rainfall frequency curves

Journal of hydrology (Amsterdam), 2023-05, Vol.620, p.129403, Article 129403

2023

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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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Detecting and explaining long‐term changes in river water quality in south‐eastern Australia

Hydrological processes, 2022-11, Vol.36 (11), p.n/a

2022

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Training sample selection for robust multi-year within-season crop classification using machine learning

Computers and electronics in agriculture, 2023-07, Vol.210, p.107927, Article 107927

2023

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Shifts in stream salt loads during and after prolonged droughts

Hydrological processes, 2023-06, Vol.37 (6), p.n/a

2023

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Exploring key factors driving farm-level seasonal irrigation water usage with Bayesian hierarchical modelling

Agricultural water management, 2024-04, Vol.294, p.108715, Article 108715

2024

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Improved data splitting methods for data-driven hydrological model development based on a large number of catchment samples

Journal of hydrology (Amsterdam), 2022-10, Vol.613, p.128340, Article 128340

2022

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How does wildfire and climate variability affect streamflow in forested catchments? A regional study in eastern Australia

Journal of hydrology (Amsterdam), 2023-10, Vol.625, p.129979, Article 129979

2023

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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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A Requests Bundling DRAM Controller for Mixed-Criticality Systems

2017 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2017, p.247-258

2017

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Modelling the influence of short-term climate variability on drinking water quality in tropical developing countries: A case study in Tanzania

The Science of the total environment, 2021-04, Vol.763, p.142932, Article 142932

2021

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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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Predicting quantiles of water quality from catchment characteristics

Hydrological processes, 2021-01, Vol.35 (1), p.n/a

2021

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On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization

Environmental modelling & software : with environment data news, 2023-09, Vol.167, p.105779, Article 105779

2023

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A multi-model approach to assessing the impacts of catchment characteristics on spatial water quality in the Great Barrier Reef catchments

Environmental pollution (1987), 2021-11, Vol.288, p.117337-117337, Article 117337

2021

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

Enhancing the Accuracy and Temporal Transferability of Irrigated Cropping Field Classification Using Optical Remote Sensing Imagery

Parsimonious Gap-Filling Models for Sub-Daily Actual Evapotranspiration Observations from Eddy-Covariance Systems

Understanding event runoff coefficient variability across Australia using the hydroEvents R package

A simulation-based approach to assess the power of trend detection in high- and low-frequency water quality records

Can hydraulic measures of river conditions improve our ability to predict ecological responses to changing flows? Flow velocity and spawning of an iconic native Australian fish

An inverse approach to perturb historical rainfall data for scenario-neutral climate impact studies

Assessing the Potential Robustness of Conceptual Rainfall‐Runoff Models Under a Changing Climate

Use of a scenario-neutral approach to identify the key hydro-meteorological attributes that impact runoff from a natural catchment

Diverging projections for flood and rainfall frequency curves

An R package for modelling actual, potential and reference evapotranspiration

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

Detecting and explaining long‐term changes in river water quality in south‐eastern Australia

Training sample selection for robust multi-year within-season crop classification using machine learning

Shifts in stream salt loads during and after prolonged droughts

Exploring key factors driving farm-level seasonal irrigation water usage with Bayesian hierarchical modelling

Improved data splitting methods for data-driven hydrological model development based on a large number of catchment samples

How does wildfire and climate variability affect streamflow in forested catchments? A regional study in eastern Australia

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

A Requests Bundling DRAM Controller for Mixed-Criticality Systems

Modelling the influence of short-term climate variability on drinking water quality in tropical developing countries: A case study in Tanzania

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

Predicting quantiles of water quality from catchment characteristics

On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization

A multi-model approach to assessing the impacts of catchment characteristics on spatial water quality in the Great Barrier Reef catchments

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