Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014 (2014), Article ID 838701, 7 pages
http://dx.doi.org/10.1155/2014/838701
Research Article

The Dependence of Global Ocean Modeling on Background Diapycnal Mixing

1Key Laboratory of Digital Ocean, State Oceanic Administration, Tianjin 300171, China
2National Marine Data and Information Service, Tianjin 300171, China

Received 16 August 2013; Accepted 23 October 2013; Published 22 January 2014

Academic Editors: F. Criado-Aldeanueva and P. Gillet

Copyright © 2014 Zengan Deng. 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. R. Bleck, “An oceanic general circulation model framed in hybrid isopycnic-Cartesian coordinates,” Ocean Modelling, vol. 4, no. 1, pp. 55–88, 2002. View at Publisher · View at Google Scholar · View at Scopus
  2. W. D. Collins, C. M. Bitz, M. L. Blackmon et al., “The Community Climate System Model version 3 (CCSM3),” AMS Journal of Climate, vol. 19, no. 11, pp. 2122–2143, 2006. View at Publisher · View at Google Scholar
  3. 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 Google Scholar · View at Scopus
  4. C. Wunsch and R. Ferrari, “Vertical mixing, energy, and the general circulation of the oceans,” Annual Review of Fluid Mechanics, vol. 36, pp. 281–314, 2004. View at Publisher · View at Google Scholar · View at Scopus
  5. J. R. Ledwell, A. J. Watson, and C. S. Law, “Evidence for slow mixing across the pycnocline from an open-ocean tracer-release experiment,” Nature, vol. 364, no. 6439, pp. 701–703, 1993. View at Google Scholar · View at Scopus
  6. J. R. Ledwell, A. J. Watson, and C. S. Law, “Mixing of a tracer in the pycnocline,” Journal of Geophysical Research C, vol. 103, no. 10, pp. 499–529, 1998. View at Google Scholar · View at Scopus
  7. E. Kunze, E. Firing, J. M. Hummon, T. K. Chereskin, and A. M. Thurnherr, “Global abyssal mixing inferred from lowered ADCP shear and CTD strain profiles,” Journal of Physical Oceanography, vol. 36, no. 8, pp. 1553–1576, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. L. Wu, Z. Jing, S. Riser, and M. Visbeck, “Seasonal and spatial variations of Southern ocean diapycnal mixing from Argo profiling floats,” Nature Geoscience, vol. 4, no. 6, pp. 363–366, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. Z. Deng, T. Yu, S. Shi, J. Jin, and K. Wu, “The global distribution of diapycnal mixing and mixing coefficient tensor in the upper 2000 m ocean from Argo observations,” Marine Geodesy. In publish.
  10. C. B. Whalen, L. D. Talley, and A. MacKinnon, “Spatial and temporal variability of global ocean mixing inferred from Argo profiles,” Geophysical Research Letter, vol. 39, no. 18, Article ID L18612, 2012. View at Publisher · View at Google Scholar
  11. A. J. Wallcraft, E. J. Metzger, and S. N. Carroll, Software Design Description for the HYcom Coordinate Ocean Model (HYCOM), Version 2.2 edition, 2009.
  12. J. Weaver and E. Sarachik, “On the importance of vertical resolution in certain ocean general circulation models,” Journal of Physical Oceanography, vol. 20, no. 4, pp. 600–609, 1990. View at Publisher · View at Google Scholar
  13. Z. Deng, L. Xie, T. Yu, S. Shi, J. Jin, and K. Wu, “Numerical study of the effects of wave-induced forcing on dynamics in ocean mixed layer,” Advances in Meteorology, vol. 2013, Article ID 365818, 10 pages, 2013. View at Publisher · View at Google Scholar
  14. Z. Deng, L. Xie, B. Liu, K. Wu, D. Zhao, and T. Yu, “Coupling winds to ocean surface currents over the global ocean,” Ocean Modelling, vol. 29, no. 4, pp. 261–268, 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. S. M. Griffies, M. Winton, L. J. Donner et al., “The GFDL CM3 coupled climate model: characteristics of the ocean and sea ice simulations,” Journal of Climate, vol. 24, no. 13, pp. 3520–3544, 2011. View at Publisher · View at Google Scholar · View at Scopus