David E. Robertson

发表

How Suitable is Quantile Mapping For Postprocessing GCM Precipitation Forecasts

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

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 .

A seasonal water availability prediction service: opportunities and challenges

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

Model configuration and data management in the short-term water information forecasting tools

James C. Bennett, David E. Robertson, Jean-Michel Perraud, 2014 .

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 .

Ensemble dressing for hydrological applications

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

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..

Improving Precipitation Forecasts by Generating Ensembles through Postprocessing

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

Ensemble flood forecasting: Current status and future opportunities

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

Enhanced parameter inference method for rainfall forecast post processor (RPP)

David E. Robertson, Durga Lal Shrestha, Jean-Michel Perraud, 2016 .

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

Valentijn R. N. Pauwels, David E. Robertson, Jeffrey P. Walker, 2017 .

First line focus.

David E. Robertson, 1979 .

Calibrating hourly rainfall-runoff models with daily forcings for streamflow forecasting applications in meso-scale catchments

James C. Bennett, Q. J. Wang, David E. Robertson, 2016, Environ. Model. Softw..

Selecting reference streamflow forecasts to demonstrate the performance of NWP-forced streamflow forecasts

James C. Bennett, David E. Robertson, Durga Lal Shrestha, 2013 .

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 .

Reliable hourly streamflow forecasting with emphasis on ephemeral rivers

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

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 .

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 .

A dual-pass error-correction technique for forecasting streamflow

Thomas C. Pagano, David E. Robertson, Prasantha Hapuarachchi, 2011 .

A Bayesian Approach to Predictor Selection for Seasonal Streamflow Forecasting

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

Improving statistical forecasts of seasonal streamflows using hydrological model output

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

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.

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

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

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 .

Assessment of an ensemble seasonal streamflow forecasting system for Australia

James C. Bennett, Quan J. Wang, Andrew Schepen, 2017 .

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

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

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

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

A qualitative approach to improve the effectiveness of products of research findings for users: a case study of the Analytical Irrigation Model

David E. Robertson, B. Keeble, F. Johnson, 2004 .

A log‐sinh transformation for data normalization and variance stabilization

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

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

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

Engendering stakeholder ownership in scenario planning

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

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

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

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

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

Estimating hydraulic parameters for a surface irrigation model from field conditions

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

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 .

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

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

Monthly versus daily water balance models in simulating monthly runoff

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

A strategy for quality controlling hourly rainfall observations and its impact on hourly streamflow simulations

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

Improved error modelling for streamflow forecasting at hourly time steps by splitting hydrographs into rising and falling limbs

James C. Bennett, Quan J. Wang, David E. Robertson, 2017 .

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

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

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 .