The compressed state Kalman filter for nonlinear state estimation: Application to large-scale reservoir monitoring

Water Resources Research

Volumn 51, Issue 12, 2015, Pages 9942-9963

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

^a Stanford University   (United States)

Author keywords

data assimilation; dimension reduction; Kalman filter; real time monitoring; stochastic hydrology; uncertainty quantification

Indexed keywords

CARBON DIOXIDE; COSTS; FLEXIBLE DISPLAYS; JACOBIAN MATRICES; KALMAN FILTERS; MATRIX ALGEBRA; MONITORING; REACTOR CORES; RESERVOIR MANAGEMENT; RISK ANALYSIS; RISK ASSESSMENT; STATE ESTIMATION; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

DATA ASSIMILATION; DIMENSION REDUCTION; REAL TIME MONITORING; STOCHASTIC HYDROLOGIES; UNCERTAINTY QUANTIFICATIONS;

COST BENEFIT ANALYSIS;

CARBON DIOXIDE; DATA ASSIMILATION; ENVIRONMENTAL MONITORING; HYDROLOGICAL MODELING; KALMAN FILTER; RESERVOIR; RISK ASSESSMENT; STOCHASTICITY; UNCERTAINTY ANALYSIS;

EID: 84956716900     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017203     Document Type: Article

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