An evaluation of the nonlinear/non-Gaussian filters for the sequential data assimilation

Remote Sensing of Environment

Volumn 112, Issue 4, 2008, Pages 1434-1449

  Han, Xujun ^a   Li, Xin ^a  

^a Chinese Academy of Sciences   (China)

Author keywords

Bayesian filtering; Kalman filter; Land surface model; Lorenz model; Microwave remote sensing; Monte Carlo methods; Nonlinear non Gaussian; Particle filter; Sequential data assimilation

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; DATA ACQUISITION; MATHEMATICAL MODELS; REMOTE SENSING; SOIL MOISTURE;

LAND SURFACE MODELS; SEQUENTIAL DATA ASSIMILATION;

KALMAN FILTERS;

BAYESIAN ANALYSIS; BRIGHTNESS TEMPERATURE; COMPARATIVE STUDY; DATA ASSIMILATION; EXPERIMENTAL STUDY; FILTER; GAUSSIAN METHOD; KALMAN FILTER; LAND SURFACE; MICROWAVE RADIATION; MONTE CARLO ANALYSIS; NOISE; NUMERICAL MODEL; REMOTE SENSING; SOIL MOISTURE; UNCERTAINTY ANALYSIS;

EID: 40649116661     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.07.008     Document Type: Article

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