Real-time data assimilation for large-scale systems: The spectral Kalman filter

Advances in Water Resources

Volumn 86, Issue , 2015, Pages 260-272

  Ghorbanidehno, Hojat ^a   Kokkinaki, Amalia ^a   Li, Judith Yue ^a   Darve, Eric ^a   Kitanidis, Peter K ^a  

^a Stanford University   (United States)

Author keywords

Bayesian analysis; CO2 monitoring; Data assimilation; Fast Kalman filter; Kalman filter; Uncertainty quantification

Indexed keywords

APPROXIMATION ALGORITHMS; APPROXIMATION THEORY; CARBON DIOXIDE; KALMAN FILTERS; LARGE SCALE SYSTEMS; MATRIX ALGEBRA; REAL TIME SYSTEMS; UNCERTAINTY ANALYSIS;

BAYESIAN ANALYSIS; COMPUTATIONALLY EFFICIENT; CROSS COVARIANCE MATRICES; DATA ASSIMILATION; DATA ASSIMILATION METHODS; LOW RANK APPROXIMATIONS; STATE-COVARIANCE MATRIX; UNCERTAINTY QUANTIFICATIONS;

COVARIANCE MATRIX;

BAYESIAN ANALYSIS; CARBON DIOXIDE; CARBON SEQUESTRATION; DATA ASSIMILATION; KALMAN FILTER; MONITORING; REAL TIME; SPECTRAL ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 84949672341     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2015.07.017     Document Type: Article

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