David E. Robertson
David E. Robertson
Research Scientist, CSIRO
Verified email at csiro.au
TitleCited byYear
A Bayesian joint probability modeling approach for seasonal forecasting of streamflows at multiple sites
QJ Wang, DE Robertson, FHS Chiew
Water resources research 45 (5), 2009
Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences
QJ Wang, DE Robertson
Water Resources Research 47 (2), 2011
Evidence for using lagged climate indices to forecast Australian seasonal rainfall
A Schepen, QJ Wang, D Robertson
Journal of Climate 25 (4), 1230-1246, 2012
A log‐sinh transformation for data normalization and variance stabilization
QJ Wang, DL Shrestha, DE Robertson, P Pokhrel
Water Resources Research 48 (5), 2012
Merging seasonal rainfall forecasts from multiple statistical models through Bayesian model averaging
QJ Wang, A Schepen, DE Robertson
Journal of Climate 25 (16), 5524-5537, 2012
Post-processing rainfall forecasts from numerical weather prediction models for short-term streamflow forecasting
DE Robertson, DL Shrestha, QJ Wang
Hydrology and Earth System Sciences 17 (9), 3587-3603, 2013
Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: Comparison between lumped and semi-distributed schemes
C Alvarez-Garreton, D Ryu, AW Western, CH Su, WT Crow, DE Robertson, ...
Hydrology and Earth System Sciences 19 (4), 1659-1676, 2015
A Bayesian approach to predictor selection for seasonal streamflow forecasting
DE Robertson, QJ Wang
Journal of Hydrometeorology 13 (1), 155-171, 2012
Monthly versus daily water balance models in simulating monthly runoff
QJ Wang, TC Pagano, SL Zhou, HAP Hapuarachchi, L Zhang, ...
Journal of hydrology 404 (3-4), 166-175, 2011
Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose
DL Shrestha, DE Robertson, QJ Wang, TC Pagano, HAP Hapuarachchi
Hydrology and Earth System Sciences 17 (5), 1913-1931, 2013
The impacts of assimilating satellite soil moisture into a rainfall–runoff model in a semi-arid catchment
C Alvarez-Garreton, D Ryu, AW Western, WT Crow, DE Robertson
Journal of Hydrology 519, 2763-2774, 2014
Improving statistical forecasts of seasonal streamflows using hydrological model output
DE Robertson, P Pokhrel, QJ Wang
Hydrology and Earth System Sciences 17 (2), 579-593, 2013
How Suitable is Quantile Mapping For Postprocessing GCM Precipitation Forecasts?
T Zhao, JC Bennett, QJ Wang, A Schepen, AW Wood, DE Robertson, ...
Journal of Climate 30 (9), 3185-3196, 2017
Combining the strengths of statistical and dynamical modeling approaches for forecasting Australian seasonal rainfall
A Schepen, QJ Wang, DE Robertson
Journal of Geophysical Research: Atmospheres 117 (D20), 2012
A Bayesian network approach to knowledge integration and representation of farm irrigation: 1. Model development
QJ Wang, DE Robertson, CL Haines
Water Resources Research 45 (2), 2009
Ensemble dressing for hydrological applications
TC Pagano, DL Shrestha, QJ Wang, D Robertson, P Hapuarachchi
Hydrological Processes 27 (1), 106-116, 2013
A System for Continuous Hydrological Ensemble Forecasting (SCHEF) to lead times of 9days
JC Bennett, DE Robertson, DL Shrestha, QJ Wang, D Enever, ...
Journal of Hydrology 519, 2832-2846, 2014
Effective use of general circulation model outputs for forecasting monthly rainfalls to long lead times
S Hawthorne, QJ Wang, A Schepen, D Robertson
Water Resources Research 49 (9), 5427-5436, 2013
Dual assimilation of satellite soil moisture to improve streamflow prediction in data‐scarce catchments
C Alvarez‐Garreton, D Ryu, AW Western, WT Crow, CH Su, ...
Water Resources Research 52 (7), 5357-5375, 2016
Seasonal forecasts of Australian rainfall through calibration and bridging of coupled GCM outputs
A Schepen, QJ Wang, DE Robertson
Monthly Weather Review 142 (5), 1758-1770, 2014
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