Toward reduction of model uncertainty: Integration of Bayesian model averaging and data assimilation

Multimodeling in hydrologic forecasting has proved to improve upon the systematic bias and general limitations of a single model. This is typically done by establishing a new model as a linear combination or a weighted average of several models with weights on the basis of individual model performan...

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Veröffentlicht in:	Water resources research 2012-03, Vol.48 (3), p.n/a
Hauptverfasser:	Parrish, Mark A., Moradkhani, Hamid, DeChant, Caleb M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian model averaging data assimilation model uncertainty particle filter streamflow forecasting
Online-Zugang:	Volltext
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