2   Artículos

 
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
Ang Su, Liang Zhang, Xuefeng Zhang, Shaoqing Zhang, Zhao Liu, Caili Liu and Anmin Zhang    
Due to the model and sampling errors of the finite ensemble, the background ensemble spread becomes small and the error covariance is underestimated during filtering for data assimilation. Because of the constraint of computational resources, it is diffi... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

« Anterior     Página: 1 de 1     Siguiente »