An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering

Advances in Water Resources

Volumn 34, Issue 7, 2011, Pages 844-864

  Zhou, Haiyan ^a,b   Gómez Hernández, J Jaime ^b   Hendricks Franssen, Harrie Jan ^c   Li, Liangping ^b  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^c FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

Data assimilation; Ensemble Kalman filter; Groundwater modeling; Non Gaussian; Parameter identification; Uncertainty

Indexed keywords

DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; GROUNDWATER MODELING; NON-GAUSSIAN; PARAMETER IDENTIFICATION; UNCERTAINTY;

AQUIFERS; DATA PROCESSING; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); GROUNDWATER FLOW; GROUNDWATER RESOURCES; KALMAN FILTERS; REAL VARIABLES; STANDARDS;

VECTORS;

ALGORITHM; AQUIFER; DATA ASSIMILATION; FLUVIAL DEPOSIT; GAUSSIAN METHOD; GROUNDWATER FLOW; HYDROGEOLOGY; KALMAN FILTER; NUMERICAL MODEL; REAL TIME;

EID: 79957911930     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2011.04.014     Document Type: Article

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