Andrew Schepen
Andrew Schepen
Principal Research Scientist, CSIRO
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Zitiert von
Zitiert von
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
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
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
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
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
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
An evaluation of ECMWF SEAS5 seasonal climate forecasts for Australia using a new forecast calibration algorithm
QJ Wang, Y Shao, Y Song, A Schepen, DE Robertson, D Ryu, ...
Environmental Modelling & Software 122, 104550, 2019
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
Hydrology and Earth System Sciences 22 (2), 1615-1628, 2018
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
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
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
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
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
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
Standard assessments of climate forecast skill can be misleading
JS Risbey, DT Squire, AS Black, T DelSole, C Lepore, RJ Matear, ...
Nature Communications 12 (1), 4346, 2021
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
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
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
A Bayesian modelling approach to forecasting short-term reference crop evapotranspiration from GCM outputs
T Zhao, QJ Wang, A Schepen
Agricultural and forest meteorology 269, 88-101, 2019
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