Comparison of sequential data assimilation methods for the Kuramoto-Sivashinsky equation

International Journal for Numerical Methods in Fluids

Volumn 62, Issue 4, 2010, Pages 374-402

  Jardak, M ^a   Navon, I M ^a   Zupanski, M ^b  

^a FLORIDA STATE UNIVERSITY   (United States)

^b Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

Ensemble Kalman filter; Kuramoto Sivashinsky equation; Particle filter; Sequential data assimilation

Indexed keywords

1-D MODELS; BAYESIAN FILTERS; CHAOTIC PATTERN; DATA ASSIMILATION; DATA ASSIMILATION METHODS; ENSEMBLE KALMAN FILTER; KURAMOTO-SIVASHINSKY EQUATIONS; MAXIMUM LIKELIHOOD ENSEMBLE FILTER; OBSERVATION OPERATOR; PARTICLE FILTER; RELATIVE PERFORMANCE; SEQUENTIAL DATA; SEQUENTIAL MONTE CARLO; VARIATIONAL ADJOINT METHOD;

DATA PROCESSING; KALMAN FILTERS; MATHEMATICAL OPERATORS; MAXIMUM LIKELIHOOD; NONLINEAR FILTERING; SPUTTERING;

MONTE CARLO METHODS;

EID: 77950242739     PISSN: 02712091     EISSN: 10970363     Source Type: Journal    
DOI: 10.1002/fld.2020     Document Type: Article

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