Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging
نویسندگان
چکیده
منابع مشابه
Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging
[1] Predictive uncertainty analysis in hydrologic modeling has become an active area of research, the goal being to generate meaningful error bounds on model predictions. State-space filtering methods, such as the ensemble Kalman filter (EnKF), have shown the most flexibility to integrate all sources of uncertainty. However, predictive uncertainty analyses are typically carried out using a sing...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 2007
ISSN: 0043-1397
DOI: 10.1029/2005wr004838