D. Robertson

发表

Selecting predictors for seasonal streamflow predictions using a Bayesian joint probability (BJP) modelling approach

Quan J. Wang, David E. Robertson, D. Robertson, 2009 .

Twenty-three unsolved problems in hydrology (UPH) – a community perspective

M. P. González-Dugo, Ronald R. P. van Nooijen, Pablo Borges de Amorim, 2019, Hydrological Sciences Journal.

A Bayesian hierarchical spatio-temporal rainfall model

Q. J. Wang, J. Mashford, D. Robertson, 2019 .

Complex relationship between seasonal streamflow forecast skill and value in reservoir operations

S. Galelli, S. Turner, D. Robertson, 2017 .

A Bayesian joint probability modeling approach for seasonal forecasting of streamflows at multiple sites

Quan J. Wang, Q. J. Wang, F. Chiew, 2009 .

Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences

Q. J. Wang, D. Robertson, 2011 .

Effective use of general circulation model outputs for forecasting monthly rainfalls to long lead times

Q. J. Wang, D. Robertson, S. Hawthorne, 2013 .

Seasonal Forecasts of Australian Rainfall through Calibration and Bridging of Coupled GCM Outputs

Quan J. Wang, Q. J. Wang, D. Robertson, 2014 .

A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments

Quan J. Wang, T. Zhao, D. Robertson, 2018 .

Merging Seasonal Rainfall Forecasts from Multiple Statistical Models through Bayesian Model Averaging

Quan J. Wang, D. Robertson, A. Schepen, 2012 .

Evidence for Using Lagged Climate Indices to Forecast Australian Seasonal Rainfall

Quan J. Wang, D. Robertson, A. Schepen, 2012 .

Improving statistical forecasts of seasonal streamflows using hydrological model output

Quan J. Wang, David E. Robertson, Q. J. Wang, 2012 .

Reliable long‐range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model

James C. Bennett, Andrew Schepen, David E. Robertson, 2016 .

Adverse effects of autoregressive updating of streamflow predictions

Q. J. Wang, D. Robertson, J. Bennett, 2014 .

Post-processing rainfall forecasts from numerical weather prediction models for short-term streamflow forecasting

Quan J. Wang, D. Shrestha, D. Robertson, 2013 .

A Bayesian joint probability post-processor for reducing errors and quantifying uncertainty in monthly streamflow predictions

Quan J. Wang, D. Robertson, P. Pokhrel, 2012 .

On the importance of soil moisture in calibration of rainfall–runoff models: two case studies

Q. J. Wang, Jeffrey P. Walker, D. Robertson, 2018, Hydrological Sciences Journal.

Application to Post-processing of Meteorological Seasonal Forecasting

Quan J. Wang, D. Robertson, A. Schepen, 2016 .

The challenge of forecasting high streamflows 1–3 months in advance with lagged climate indices in southeast Australia

Quan J. Wang, D. Robertson, J. Bennett, 2014 .

The challenge of forecasting high streamflows in medium sized catchments 1–3 months in advance

Q. J. Wang, D. Robertson, J. Bennett, 2013 .

Combining the strengths of statistical and dynamical modeling approaches for forecasting Australian seasonal rainfall

Quan J. Wang, D. Robertson, A. Schepen, 2012 .

Seasonal streamflow forecasting in the upper Indus Basin of Pakistan: an assessment of methods

Quan J. Wang, Q. J. Wang, S. Charles, 2018, Hydrology and Earth System Sciences.

Post-processing rainfall forecasts from numerical weather prediction models for short-term streamflow forecasting

Quan J. Wang, D. Shrestha, D. Robertson, 2013 .

A Seasonally Coherent Calibration (SCC) Model for Postprocessing Numerical Weather Predictions

Quan J. Wang, Q. J. Wang, Qichun Yang, 2019, Monthly Weather Review.

Ensemble forecasting of short‐term system scale irrigation demands using real‐time flow data and numerical weather predictions

A. Western, B. George, B. Nawarathna, 2016 .

Evaluating a prototype ensemble water quantity and quality forecasting system for the Fitzroy River Basin

R. Searle, D. Robertson, B. Robson, 2015 .

A Bayesian network approach to knowledge integration and representation of farm irrigation: 3. Spatial application: KNOWLEDGE INTEGRATION OF FARM IRRIGATION, 3

Hector Malano, David E. Robertson, Teri Etchells, 2009 .

High-Level Functions to Read and Write Ensemble Forecast Time Series in netCDF [R package efts version 0.9-0]

James Bennett, David E. Robertson, Jean-Michel Perraud, 2018 .

Development of a national 7-day ensemble streamflow forecasting service for Australia

P. Sunter, F. Woldemeskel, D. Robertson, 2022, Hydrology and Earth System Sciences.

A Bayesian network approach to knowledge integration and representation of farm irrigation: 3. Spatial application

Q. J. Wang, A. McAllister, D. Robertson, 2009 .

Using a Bayesian joint probability approach to improve the skill of medium-range forecasts of the Indian summer monsoon rainfall

D. Robertson, R. Ashwin, S. Jha, 2023, Journal of Hydrology: Regional Studies.

Scenarios of the future: Irrigation in the Goulburn Broken Region

Q. J. Wang, D. Robertson, L. Soste, 2008 .

Irrigation in the Goulburn Broken Region

D. Robertson, L. Soste, R. Chaffe, 2007 .

Bayesian networks for decision analyses — an application to irrigation system selection

David E. Robertson, Q. J. Wang, D. Robertson, 2004 .

A seasonal water availability prediction service: opportunities and challenges

Quan J. Wang, David E. Robertson, N Plummer, 2009 .

A Data Censoring Approach for Predictive Error Modeling of Flow in Ephemeral Rivers

Quan J. Wang, Ming Li, D. Robertson, 2020, Water Resources Research.

Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose

Quan J. Wang, Durga Lal Shrestha, David E. Robertson, 2013 .

Statistical analysis of attributions of climatic characteristics to nonstationary rainfall‐streamflow relationship

S. Charles, Hongxing Zheng, F. Chiew, 2021, Journal of Hydrology.

Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model

James C. Bennett, Quan J. Wang, Tongtiegang Zhao, 2015 .

An evaluation of ECMWF SEAS5 seasonal climate forecasts for Australia using a new forecast calibration algorithm

Quan J. Wang, Dongryeol Ryu, Yong Song, 2019, Environ. Model. Softw..

Ensemble flood forecasting: Current status and future opportunities

Andrew W. Wood, David E. Robertson, Wenyan Wu, 2020, WIREs Water.

A Bayesian Approach to Predictor Selection for Seasonal Streamflow Forecasting

Quan J. Wang, David E. Robertson, D. Robertson, 2012 .

A System for Continuous Hydrological Ensemble Forecasting (SCHEF) to lead times of 9 days

James C. Bennett, Quan J. Wang, Durga Lal Shrestha, 2014 .

Engendering stakeholder ownership in scenario planning

Yongping Wei, Quan J. Wang, David E. Robertson, 2015 .

An integrated error parameter estimation and lag-aware data assimilation scheme for real-time flood forecasting

Wade T. Crow, Andrew W. Western, Quan J. Wang, 2014 .

The impacts of assimilating satellite soil moisture into a rainfall-runoff model in a semi-arid catchment

Wade T. Crow, Andrew W. Western, Dongryeol Ryu, 2014 .

Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes

Wade T. Crow, Andrew W. Western, Chun-Hsu Su, 2014 .

Impact of observation error structure on satellite soil moisture assimilation into a rainfall-runoff model

A. W. Western, D. Ryu, W. Crow, 2013 .

Error reduction and representation in stages (ERRIS) in hydrologicalmodelling for ensemble streamflow forecasting

James C. Bennett, David E. Robertson, Ming Li, 2016 .

A strategy to overcome adverse effects of autoregressive updating of streamflow forecasts

James C. Bennett, Quan J. Wang, David E. Robertson, 2015 .

Adapting rainfall bias-corrections to improve hydrological simulations generated from climate model forcings

F. Chiew, D. Robertson, N. Potter, 2023, Journal of Hydrology.

The value of model averaging and dynamical climate model predictions for improving statistical seasonal streamflow forecasts over Australia

Quan J. Wang, David E. Robertson, Q. J. Wang, 2013 .

Seasonal Forecasts of Unregulated Inflows into the Murray River, Australia

Q. J. Wang, D. Robertson, Quan J. Wang, 2013, Water Resources Management.

Improving Precipitation Forecasts by Generating Ensembles through Postprocessing

James C. Bennett, Quan J. Wang, Q. J. Wang, 2015 .

Overview of Communication Strategies for Uncertainty in Hydrological Forecasting in Australia

Quan J. Wang, Julien Lerat, David E. Robertson, 2019, Handbook of Hydrometeorological Ensemble Forecasting.

Reliable hourly streamflow forecasting with emphasis on ephemeral rivers

James C. Bennett, Quan J. Wang, David E. Robertson, 2020, Journal of Hydrology.

Value of seasonal streamflow forecasts in emergency response reservoir management

James C. Bennett, Stefano Galelli, Sean W. D. Turner, 2017 .

Different Hydroclimate Modelling Approaches Can Lead to a Large Range of Streamflow Projections under Climate Change: Implications for Water Resources Management

S. Charles, Hongxing Zheng, F. Chiew, 2022, Water.

Literature Review and Assessment of Plant and Animal Transfer Factors Used in Performance Assessment Modeling

Kenneth M. Krupka, Bruce A. Napier, David E. Robertson, 2003 .

Ensemble dressing for hydrological applications

Thomas C. Pagano, Durga Lal Shrestha, David E. Robertson, 2013 .

A comparison of the discrete cosine and wavelet transforms for hydrologic model input data reduction

V. Pauwels, D. Robertson, A. Wright, 2017 .

Monthly versus daily water balance models in simulating monthly runoff

Thomas C. Pagano, Quan J. Wang, David E. Robertson, 2011 .

Evaluation of numerical weather prediction model rainfall forecasts for streamflow forecasting

Q. J. Wang, P. Hapuarachchi, D. Shrestha, 2012 .

How Suitable is Quantile Mapping For Postprocessing GCM Precipitation Forecasts

Andrew W. Wood, James C. Bennett, Quan J. Wang, 2017 .

A log‐sinh transformation for data normalization and variance stabilization

Quan J. Wang, Durga Lal Shrestha, David E. Robertson, 2012 .

Estimating hydraulic parameters for a surface irrigation model from field conditions

David E. Robertson, Q. J. Wang, D. Robertson, 2004 .

A Bayesian network approach to knowledge integration and representation of farm irrigation: 2. Model validation

Quan J. Wang, Hector Malano, David E. Robertson, 2009 .

A Bayesian network approach to knowledge integration and representation of farm irrigation: 1. Model development

Q. J. Wang, D. Robertson, C. L. Haines, 2009 .

An error model for long-range ensemble forecasts of ephemeral rivers

Ming Li, D. Robertson, J. Lerat, 2021 .

Insights from a new methodology to optimize rain gauge weighting for rainfall-runoff models

V. Pauwels, D. Robertson, A. Wright, 2019 .

A new method for post-processing daily sub-seasonal to seasonal rainfall forecasts from GCMs and evaluation for 12 Australian catchments

Quan J. Wang, T. Zhao, D. Robertson, 2017 .

Characterising the regional growth of on-farm storages and their implications for water resources under a changing climate

Martino E. Malerba, D. Robertson, J. Peña-Arancibia, 2023, Journal of Hydrology.