Groundwater flow inverse modeling in non-MultiGaussian media: Performance assessment of the normal-score Ensemble Kalman Filter

Hydrology and Earth System Sciences

Volumn 16, Issue 2, 2012, Pages 573-590

  Li, L ^a   Zhou, H ^a   Hendricks Franssen, H J ^b   Gomez Hernandez J J ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BIMODAL DISTRIBUTION; CONNECTIVITY PATTERN; ENSEMBLE KALMAN FILTER; FLOW CONFIGURATIONS; FLOW PROBLEMS; INVERSE MODELING; PERFORMANCE ASSESSMENT; PIE- ZOMETRIC HEAD; RANDOM FUNCTION MODEL; SYNTHETIC AQUIFERS; VARIANCE MAPS;

AQUIFERS; GROUNDWATER FLOW; INVERSE PROBLEMS;

KALMAN FILTERS;

AQUIFER CHARACTERIZATION; BIMODAL ASSOCIATION; COVARIANCE ANALYSIS; ENSEMBLE FORECASTING; GAUSSIAN METHOD; GROUNDWATER FLOW; HYDRAULIC CONDUCTIVITY; KALMAN FILTER; PERFORMANCE ASSESSMENT; PIEZOMETER; VARIANCE ANALYSIS;

EID: 84863277102     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-16-573-2012     Document Type: Article

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