Sigma-point Kalman filter data assimilation methods for strongly nonlinear systems

Journal of the Atmospheric Sciences

Volumn 66, Issue 2, 2009, Pages 261-285

  Ambadan, Jaison Thomas ^a   Tang, Youmin ^a  

^a UNIVERSITY OF NORTHERN BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC MODELS; DATA ASSIMILATION METHODS; DATA ASSIMILATIONS; ENSEMBLE KALMAN FILTERS; HIGHER-DIMENSIONAL SYSTEMS; HIGHLY NONLINEAR; JACOBIANS; JOINT ESTIMATIONS; MODEL STATE; NOISY OBSERVATIONS; NUMERICAL EXPERIMENTS; SIGMA-POINT KALMAN FILTERS; STANDARD KALMAN FILTERS; STRONGLY NONLINEAR; STRONGLY NONLINEAR SYSTEMS; SUBSPACE MODELS; TANGENT LINEAR MODELS; TEST BEDS;

CELLULAR RADIO SYSTEMS; EQUIPMENT TESTING; EXTENDED KALMAN FILTERS; NONLINEAR SYSTEMS; OCEAN ENGINEERING; OCEANOGRAPHY; PARAMETER ESTIMATION; STANDARDS;

CONTROL THEORY;

ACCURACY ASSESSMENT; ALGORITHM; ATMOSPHERIC MODELING; DATA ASSIMILATION; ESTIMATION METHOD; KALMAN FILTER; NUMERICAL MODEL; PARAMETERIZATION; PERFORMANCE ASSESSMENT;

EID: 65549106490     PISSN: 00224928     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008JAS2681.1     Document Type: Article

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