Andrew Schepen
Andrew Schepen
Senior Research Scientist, CSIRO
Verified email at csiro.au
Title
Cited by
Cited by
Year
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
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
762012
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
712017
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
522012
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
422016
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
422014
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
402013
Statistical calibration and bridging of ECMWF System4 outputs for forecasting seasonal precipitation over China
Z Peng, QJ Wang, JC Bennett, A Schepen, F Pappenberger, P Pokhrel, ...
Journal of Geophysical Research: Atmospheres 119 (12), 7116-7135, 2014
332014
Ensemble forecasts of monthly catchment rainfall out to long lead times by post-processing coupled general circulation model output
A Schepen, QJ Wang
Journal of Hydrology 519, 2920-2931, 2014
282014
Model averaging methods to merge operational statistical and dynamic seasonal streamflow forecasts in A ustralia
A Schepen, QJ Wang
Water Resources Research 51 (3), 1797-1812, 2015
252015
A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments
A Schepen, T Zhao, QJ Wang, DE Robertson
COPERNICUS GESELLSCHAFT MBH, 2018
222018
Ensemble forecasting of sub-seasonal to seasonal streamflow by a Bayesian joint probability modelling approach
T Zhao, A Schepen, QJ Wang
Journal of Hydrology 541, 839-849, 2016
222016
Calibration, bridging, and merging to improve GCM seasonal temperature forecasts in Australia
A Schepen, QJ Wang, Y Everingham
Monthly Weather Review 144 (6), 2421-2441, 2016
192016
A seasonal water availability prediction service: Opportunities and Challenges
N Plummer, N Tuteja, QJ Wang, E Wang, D Robertson, S Zhou, ...
18th World IMACS/MODSIM Congress, 13-17, 2009
192009
Ensemble forecasting of monthly and seasonal reference crop evapotranspiration based on global climate model outputs
T Zhao, QJ Wang, A Schepen, M Griffiths
Agricultural and forest meteorology 264, 114-124, 2019
182019
Assessment of an ensemble seasonal streamflow forecasting system for Australia
JC Bennett, QJ Wang, DE Robertson, A Schepen, M Li, K Michael
Hydrology and Earth System Sciences 21 (12), 6007-6030, 2017
182017
Application of a hybrid statistical–dynamical system to seasonal prediction of North American temperature and precipitation
S Strazzo, DC Collins, A Schepen, QJ Wang, E Becker, L Jia
Monthly Weather Review 147 (2), 607-625, 2019
172019
Does improved SSTA prediction ensure better seasonal rainfall forecasts?
MZK Khan, A Sharma, R Mehrotra, A Schepen, QJ Wang
Water Resources Research 51 (5), 3370-3383, 2015
142015
Toward accurate and reliable forecasts of Australian seasonal rainfall by calibrating and merging multiple coupled GCMS
A Schepen, QJ Wang
Monthly weather review 141 (12), 4554-4563, 2013
142013
Optimising seasonal streamflow forecast lead time for operational decision making in Australia.
A Schepen, T Zhao, QJ Wang, S Zhou, P Feikema
Hydrology & Earth System Sciences 20 (10), 2016
102016
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