海洋预报2013，Vol.30Issue(1)：86-92,7.DOI:10.11737/j.issn.1003-0239.2013.01.012
海洋温盐度资料多变量同化研究进展
Review of ocean data assimilation for temperature and salinity
摘要
Abstract
Early ocean data assimilation only considered temperature adjustment and ignored the salinity changes, which often brings false information and lead to density field deteriorated seriously. The assimilation results were even worse than that without assimilating any observation data. In order to solve this problem, some multi-variable assimilation schemes for temperature and salinity were brought up. In this paper, we reviewed the data assimilation methods widely used in multivariate analysis and different temperature and salinity adjustment schemes, discussed the advantages and disadvantages of them, and pointed out their application situation respectively. Finally, the importance of Argo data and the key research of future data assimilation were discussed in this paper.关键词
海洋资料同化/多变量调整/Argo资料/网格化/海洋模式Key words
ocean data assimilation/ multivariable adjustment/ Argo data/ gridding/ ocean model分类
海洋科学引用本文复制引用
张春玲,李宏,许建平,王振峰..海洋温盐度资料多变量同化研究进展[J].海洋预报,2013,30(1):86-92,7.基金项目
海洋公益性专项(201005033) （201005033）
科技基础性工作专项(2012FYl12300) （2012FYl12300）
国家海洋局第二海洋研究所基本科研业务费专项(JT0904) （JT0904）
