期刊
JOURNAL OF COMPUTATIONAL PHYSICS
卷 284, 期 -, 页码 631-647出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2015.01.003
关键词
Data assimilation; Recursive Gaussian filter and numerical optimization
资金
- Italian Ministry of Education
- University and Research
- Italian Ministry of Environment, Land and Sea under the GEMINA
- Next Data projects
We propose an improvement of an oceanographic three dimensional variational assimilation scheme (3D-VAR), named OceanVar, by introducing a recursive filter (RF) with the third order of accuracy (3rd-RF), instead of an RFwith first order of accuracy (1st-RF), to approximate horizontal Gaussian covariances. An advantage of the proposed scheme is that the CPU's time can be substantially reduced with benefits on the large scale applications. Experiments estimating the impact of 3rd-RF are performed by assimilating oceanographic data in two realistic oceanographic applications. The results evince benefits in terms of assimilation process computational time, accuracy of the Gaussian correlation modeling, and show that the 3rd-RF is a suitable tool for operational data assimilation. (C) 2015 Elsevier Inc. All rights reserved.
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