Journal article

Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model

Tongtiegang Zhao, QJ Wang, James C Bennett, David E Robertson, Quanxi Shao, Jianshi Zhao

Journal of Hydrology | ELSEVIER SCIENCE BV | Published : 2015

DOI: 10.1016/j.jhydrol.2015.06.043

University of Melbourne Researchers

Grants

Awarded by NSFC

Awarded by MSTC

Funding Acknowledgements

This study is partially supported by NSFC (51409145) and MSTC (2013BAB05B03).

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Keywords

Water Resources
Rainfall Forecasts
Variability
Lead Times
Geology
Reliability
Ensemble Spread
Lagged Climate Indexes
Seasonal Precipitation
Ensemble
Forecast Uncertainty
Engineering
Physical Sciences
Engineering, Civil
River-Basin
Geosciences, Multidisciplinary
Three Gorges Reservoir
Long
Water-Resources Management
Technology
Heteroscedasticity
Northern California
Science & Technology
Non-Gaussianity