David E. Robertson
David E. Robertson
Research Scientist, CSIRO
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
A log‐sinh transformation for data normalization and variance stabilization
QJ Wang, DL Shrestha, DE Robertson, P Pokhrel
Water Resources Research 48 (5), 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
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
Ensemble flood forecasting: Current status and future opportunities
W Wu, R Emerton, Q Duan, AW Wood, F Wetterhall, DE Robertson
Wiley Interdisciplinary Reviews: Water 7 (3), e1432, 2020
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
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
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
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
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
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
A Bayesian approach to predictor selection for seasonal streamflow forecasting
DE Robertson, QJ Wang
Journal of Hydrometeorology 13 (1), 155-171, 2012
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
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
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
Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model
T Zhao, QJ Wang, JC Bennett, DE Robertson, Q Shao, J Zhao
Journal of Hydrology 528, 329-340, 2015
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
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