The power of transient piezometric head data in inverse modeling: An application of the localized normal-score EnKF with covariance inflation in a heterogenous bimodal hydraulic conductivity field

Advances in Water Resources

Volumn 54, Issue , 2013, Pages 100-118

  Xu, Teng ^a,b   Jaime Gomez Hernandez J ^b   Zhou, Haiyan ^b   Li, Liangping ^b  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Covariance inflation; Ensemble Kalman filter; Filter divergence; Localization; Normal score transform

Indexed keywords

COVARIANCE INFLATION; ENSEMBLE KALMAN FILTER; FILTER DIVERGENCE; INVERSE MODELING; LOCALIZATION; MARGINAL DISTRIBUTION; PIE- ZOMETRIC HEAD; PRIOR INFORMATION; REFERENCE FIELD; SPATIAL VARIABILITY; UNIVARIATE;

HYDRAULIC CONDUCTIVITY; KALMAN FILTERS;

INVERSE PROBLEMS;

COVARIANCE ANALYSIS; DATA ASSIMILATION; GROUNDWATER FLOW; HYDRAULIC CONDUCTIVITY; HYDRAULIC HEAD; INVERSE ANALYSIS; KALMAN FILTER; NUMERICAL MODEL; PIEZOMETER;

EID: 84874576738     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2013.01.006     Document Type: Article

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