2   Artículos

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en línea
Yanqiu Gao    
The ensemble Kalman filter is often used in parameter estimation, which plays an essential role in reducing model errors. However, filter divergence is often encountered in an estimation process, resulting in the convergence of parameters to the improper... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Elias D. Nino-Ruiz    
In this paper, a matrix-free posterior ensemble Kalman filter implementation based on a modified Cholesky decomposition is proposed. The method works as follows: the precision matrix of the background error distribution is estimated based on a modified C... ver más
Revista: Atmosphere    Formato: Electrónico

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