A Three-Dimensional Variational analysis Using Sequential Filter

摘要：

A three-dimensional variational (3D-Var) data assimilation (DA) scheme which introduces sequential filter is designed to improve state estimation from observations. The sequential filter employed in this new hybrid scheme, operating on the background field instead of on the observation field as usual, is under the framework of ensemble adjustment Kalman filter (EAKF). Under perfect global barotropic spectral model, numerical experiments show that the new 3D-Var can retrieve structures of true field appropriately and outperforms traditional 3D-Var.

关键词： sequentialfllter 3D- Var data assimilation

作者: Xinrong Wu Guijun Han Dong Li Wei Li

作者单位: South China Sea Institute of Oceanology Chinese Academy of Science, Guangzhou, China Key Laboratory Key Laboratory of Marine Environmental Information Technology, SOA National Marine Data and Informat Key Laboratory of Marine Environmental Information Technology, SOA National Marine Data and Informat

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 1016-1020

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）