An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions

Ensemble smoother (ES) has been widely used in inverse modeling of hydrologic systems. However, for problems where the distribution of model parameters is multimodal, using ES directly would be problematic. One popular solution is to use a clustering algorithm to identify each mode and update the cl...

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Veröffentlicht in:	Water resources research Jg. 54; H. 3; S. 1716 - 1733
Hauptverfasser:	Zhang, Jiangjiang, Lin, Guang, Li, Weixuan, Wu, Laosheng, Zeng, Lingzao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Washington John Wiley & Sons, Inc 01.03.2018 American Geophysical Union (AGU)
Schlagworte:	Algorithms Clustering Computation Computer applications Data processing Distribution ensemble smoother Hydrologic models Hydrologic systems Hydrology inverse modeling Iterative methods Mathematical models Modelling Motivation multimodal distribution Nonlinear systems Nonlinearity Parallel processing Parameter uncertainty Parameters Problems Uncertainty water
ISSN:	0043-1397, 1944-7973
Online-Zugang:	Volltext
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