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
1922009
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
1682019
Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences
QJ Wang, DE Robertson
Water Resources Research 47 (2), 2011
1402011
A log‐sinh transformation for data normalization and variance stabilization
QJ Wang, DL Shrestha, DE Robertson, P Pokhrel
Water Resources Research 48 (5), 2012
1122012
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
1112012
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
872013
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
862012
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
842017
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
772015
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
752013
A Bayesian approach to predictor selection for seasonal streamflow forecasting
DE Robertson, QJ Wang
Journal of Hydrometeorology 13 (1), 155-171, 2012
722012
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
702011
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
662014
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
562013
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
562013
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
552012
Complex relationship between seasonal streamflow forecast skill and value in reservoir operations
SWD Turner, JC Bennett, DE Robertson, S Galelli
Hydrology and Earth System Sciences 21 (9), 4841-4859, 2017
512017
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
492014
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
492014
Reliable long‐range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model
JC Bennett, QJ Wang, M Li, DE Robertson, A Schepen
Water Resources Research 52 (10), 8238-8259, 2016
472016
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