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Advances in Meteorology
Volume 2017, Article ID 7314106, 12 pages
https://doi.org/10.1155/2017/7314106
Research Article

Evaluation of the Impact of Argo Data on Ocean Reanalysis in the Pacific Region

1College of Automation, Harbin Engineering University, Harbin, China
2Key Laboratory of Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, Tianjin, China
3State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, SOA, Hangzhou, China

Correspondence should be addressed to Chang Liu; nc.ude.uebrh@704gnahcuil

Received 16 May 2017; Accepted 3 August 2017; Published 28 September 2017

Academic Editor: Xiaohui Ma

Copyright © 2017 Xuefeng Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. G. Han, H. Fu, and X. Zhang, “A global ocean reanalysis product in the china ocean reanalysis (CORA) project,” Advances in Atmospheric Sciences, vol. 30, pp. 1621–1631, 2013. View at Publisher · View at Google Scholar
  2. W. Li, Y. F. Xie, Z. J. He et al., “Application of the multi-grid data assimilation scheme to the China seas' temperature forecast,” Journal of Atmospheric and Oceanic Technology, vol. 25, no. 11, pp. 2106–2116, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. G. J. Han, W. Li, X. F. Zhang et al., “A regional ocean reanalysis system for coastal waters of China and adjacent seas,” Advances in Atmospheric Sciences, vol. 28, no. 3, pp. 682–690, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. N. S. Cooper, “The effect of salinity in tropical ocean models,” J. Phys. Oceanogr, vol. 18, pp. 697–707, 1988. View at Publisher · View at Google Scholar
  5. Y. M. Liu, R. H. Zhang, Y. H. Yin, and T. Niu, “The application of Argo data to a global 4-dimensional ocean data assimilation system,” in The Collection of Argo Application Papers, pp. 139–150, China Ocean Press, Beijing, China, 2006. View at Google Scholar
  6. J. Zhu, C. X. Yan, and L. Y. Wan, “Applications of Argo data to the Pacific Ocean data assimilation (in chinese). The Collection of Argo Application Papers, 151-162,” in doi, pp. 10–1007, China Ocean Press, Beijing, 2006. View at Google Scholar
  7. M. Balmaseda, D. Anderson, and A. Vidard, “Impact of Argo on analyses of the global ocean,” Geophysical Research Letters, vol. 34, no. 16, Article ID L16605, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Zhang, M. J. Harrison, A. Rosati, and A. Wittenberg, “System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies,” Monthly Weather Review, vol. 135, no. 10, pp. 3541–3564, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. S. Zhang, M. J. Harrison, A. T. Wittenberg, A. Rosati, J. L. Anderson, and V. Balaji, “Initialization of an ENSO forecast system using a parallelized ensemble filter,” Monthly Weather Review, vol. 133, no. 11, pp. 3176–3201, 2005. View at Publisher · View at Google Scholar · View at Scopus
  10. M. Michiko, W. S. Thomas, and M. E. Ronald, “Observing System Simulation Experiments,” in Data Assimilation: Making Sense of Observations, W. A. Lahoz, B. Khattatov, and R. Ménard, Eds., pp. 647–679, Springer, 2010. View at Google Scholar
  11. J. Marshall, C. Hill, L. Perelman, and A. Adcroft, “Hydrostatic, quasi-hydrostatic, and nonhydrostatic ocean modeling,” Journal of Geophysical Research C: Oceans, vol. 102, no. 3, Article ID 96JC02776, pp. 5733–5752, 1997. View at Publisher · View at Google Scholar · View at Scopus
  12. W. G. Large, J. C. McWilliams, and S. C. Doney, “Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization,” Reviews of Geophysics, vol. 32, no. 4, pp. 363–403, 1994. View at Publisher · View at Google Scholar · View at Scopus
  13. S. M. Durski, S. M. Glenn, and D. B. Haidvogel, “Vertical mixing schemes in the coastal ocean: Comparison of the level 2.5 Mellor-Yamada scheme with an enhanced version of the K profile parameterization,” Journal of Geophysical Research C: Oceans, vol. 109, no. (C01015), pp. 1029–1051, 2004. View at Google Scholar · View at Scopus
  14. “National Oceanic and Atmospheric Administration,” in ETOPO5 digital relief of the surface of the Earth, Data Announce, 88-MGG-02, The National Geophysical Data Center, Boulder, Colo, USA, 1988.
  15. W. Li, Y. F. Xie, S.-M. Deng, and Q. Wang, “Application of the multigrid method to the two-dimensional Doppler radar radial velocity data assimilation,” Journal of Atmospheric and Oceanic Technology, vol. 27, no. 2, pp. 319–332, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. A. Troccoli, M. A. Balmaseda, J. Segschneider et al., “Salinity adjustments in the presence of temperature data assimilation,” Monthly Weather Review, vol. 130, no. 1, pp. 89–102, 2002. View at Publisher · View at Google Scholar · View at Scopus
  17. J. A. Carton, G. Chepurin, X. Cao, and B. Giese, “A simple ocean data assimilation analysis of the global upper ocean 1950-95. Part I: Methodology,” Journal of Physical Oceanography, vol. 30, no. 2, pp. 294–309, 2000. View at Publisher · View at Google Scholar · View at Scopus
  18. J. A. Carton, G. Chepurin, and X. Cao, “A simple ocean data assimilation analysis of the global upper ocean 1950-95. Part II: Results,” Journal of Physical Oceanography, vol. 30, no. 2, pp. 311–326, 2000. View at Publisher · View at Google Scholar · View at Scopus