Multi-model ensemble hydrologic prediction using Bayesian model averaging
نویسندگان
چکیده
منابع مشابه
Multi-Model Grand Ensemble Hydrologic Forecasting in the Fu River Basin Using Bayesian Model Averaging
Statistical post-processing for multi-model grand ensemble (GE) hydrologic predictions is necessary, in order to achieve more accurate and reliable probabilistic forecasts. This paper presents a case study which applies Bayesian model averaging (BMA) to statistically post-process raw GE runoff forecasts in the Fu River basin in China, at lead times ranging from 6 to 120 h. The raw forecasts wer...
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ژورنال
عنوان ژورنال: Advances in Water Resources
سال: 2007
ISSN: 0309-1708
DOI: 10.1016/j.advwatres.2006.11.014