Journal of Tropical Oceanography ›› 2010, Vol. 29 ›› Issue (4): 1-7.doi: 10.11978/j.issn.1009-5470.2010.04.001cstr: 32234.14.j.issn.1009-5470.2010.04.001

Special Issue: 海洋大数据及应用

• Marine hydrology •     Next Articles

Assimilation of hydrographic data in the northern South China Sea based on the Cressman objective analysis

CHEN Fei1,2, SHI Ping1,3, DU Yan1, WANG Dong-xiao1   

  1. 1. Key Laboratory of Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology, CAS, Guangzhou 510301, China; 2. Graduate University of CAS, Beijing 100049, China; 3.Yantai Institute of Coastal Zone Research for Sustainable Development, CAS, Yantai 264003, China
  • Received:2008-12-08 Revised:2009-06-08 Online:2010-07-31 Published:2010-07-29
  • Contact: 杜岩。 E-mail:duyan@scsio.ac.cn
  • About author:陈飞(1984—), 男, 陕西省汉中市人, 硕士研究生, 现从事物理海洋数值研究。E-mail: chenfei206@mails.gucas.ac.cn
  • Supported by:

    科学院知识创新项目(KZCX2-YW-BR-04, KZCX1-YW-12-01, KZCX2-YW-Q11-02); 自然科学基金项目(40876007)

Abstract:

 The authors assimilate cruise data in the northern South China Sea using the Princeton Ocean Model (POM). The results show that the model assimilation improves the simulation effectively by reducing model errors, namely making the model results closer to the observations. The assimilation results, however, are not quite ideal in the regions where cruise observations are absent, indicating the method needs to be improved. This assimilation method once improved can provide re-analysis dataset for studying the South China Sea.

Key words: data assimilation, interpolation method, Princeton Ocean Model (POM), cruise data