Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging
نویسندگان
چکیده
منابع مشابه
Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging
Bayesian model averaging (BMA) is a statistical way of postprocessing forecast ensembles to create predictive probability density functions (PDFs) for weather quantities. It represents the predictive PDF as a weighted average of PDFs centered on the individual bias-corrected forecasts, where the weights are posterior probabilities of the models generating the forecasts and reflect the forecasts...
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ژورنال
عنوان ژورنال: Monthly Weather Review
سال: 2007
ISSN: 1520-0493,0027-0644
DOI: 10.1175/mwr3441.1