David E. Robertson
David E. Robertson
Research Scientist, CSIRO
Verified email at csiro.au
Title
Cited by
Cited by
Year
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
1782009
Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences
QJ Wang, DE Robertson
Water Resources Research 47 (2), 2011
1262011
Multisite probabilistic forecasting of seasonal flows for streams with zero value
QJ Wang, DE Robertson
126*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
1022012
A log‐sinh transformation for data normalization and variance stabilization
QJ Wang, DL Shrestha, DE Robertson, P Pokhrel
Water Resources Research 48 (5), 2012
1012012
Twenty-three unsolved problems in hydrology (UPH)–a community perspective
G Blöschl, MFP Bierkens, A Chambel, C Cudennec, G Destouni, A Fiori, ...
Hydrological Sciences Journal 64 (10), 1141-1158, 2019
812019
Post processing rainfall forecasts from numerical weather prediction models for short term streamflow forecasting.
DE Robertson, DL Shrestha, QJ Wang
Hydrology & Earth System Sciences Discussions 10 (5), 2013
752013
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, ...
COPERNICUS GESELLSCHAFT MBH, 2015
732015
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
732012
A Bayesian approach to predictor selection for seasonal streamflow forecasting
DE Robertson, QJ Wang
Journal of Hydrometeorology 13 (1), 155-171, 2012
692012
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
682017
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
622014
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, 2013
622013
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
622011
Improving statistical forecasts of seasonal streamflows using hydrological model output.
DE Robertson, P Pokhrel, QJ Wang
Hydrology & Earth System Sciences 17 (1), 2013
522013
Improving statistical forecasts of seasonal streamflows using hydrological model output.
DE Robertson, P Pokhrel, QJ Wang
Hydrology & Earth System Sciences 17 (1), 2013
522013
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
502012
Ensemble dressing for hydrological applications
TC Pagano, DL Shrestha, QJ Wang, D Robertson, P Hapuarachchi
Hydrological Processes 27 (1), 106-116, 2013
442013
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
432014
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
432009
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Articles 1–20