A comparison study of tropical Pacific Ocean state estimation: Low-resolution assimilation vs. high-resolution simulation

Advances in Atmospheric Sciences

Volumn 22, Issue 2, 2005, Pages 212-219

  Fu, Weiwei ^a,b   Zhu, Jiang ^a   Zhou, Guangqing ^a   Wang, Huijun ^a  

^a INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Comparison study; Data assimilation; High resolution model; Low resolution model

Indexed keywords

EID: 15944374321     PISSN: 02561530     EISSN: None     Source Type: Journal    
DOI: 10.1007/bf02918510     Document Type: Article

References (25)

1. Bleck, R., S. Sun, and S. Dean, 1997: Global ocean simulations with an isopycnic coordinate model. Some New Directions in Science on Computer, G. Bhanot, S. Chin, and P. Seiden, Eds., World Scientific, 297-317.
2. Bourassa, M. A., S. R. Smith, and J. J. O'Brien, 2001: A new FSU winds and flux climatology. 11th Conference on Interations of the Sea and Atmosphere, San Diego, CA, Amer. Meteor. Soc., 912.
3. Bryan, F. O., 1987: Parameter sensitivity of primitive equation ocean general circulation models. J. Phys. Oceanogr., 17, 970-985.
4. Chao, Y., and L.-L. Fu, 1995: A compassion between TOPEX/Poseidon data and a global ocean general circulation model during 1992-93. J. Geophys. Res., 100, 24 965-24 976.
5. Conkright, M., S. Levitus, T. O'Brien, T. Boyer, J. Antonov, and C. Stephens, 1998: World Ocean Atlas 1998 CD-ROM Data Set Documentation Tech. Rep. 15, NODC Internal Report, Silver Springs, MD, 16pp.
6. Courtier and Coauthors 1998: The ECMWF implementation of three-dimensional variational assimilation (3DVar). Part 1: Formulation. Quart. J. Roy. Meteor. Soc., 124, 1783-1807.
7. Cox, M. D., 1985: An eddy-resolving numerical model of the ventilated thermocline. J. Phys. Oceanogr., 15, 1312-1324.
8. Derber, J., and A. Rosati, 1989: A global oceanic data assimilation system. J. Phys. Oceanogr., 19, 1333-1347.
9. Errico, R., T. Vukicevic, and K. Raeder, 1993: Examination of the accuracy of a tangent linear model. Tellus, 45A, 462-477.
10. Esbensen, S. K., and Y. Kushnir, 1981: The heat budget of the global ocean: An atlas based on estimates from the surface marine observation. Climate Research Institute Rep. No.39, Oregon State University, 27pp. [Available from Colledg of Oceanic and Atmospheric Sciences, Oregon seate University, Corvauis, OR 97331.]
11. FU Weiwei, Zhou Guangqing, and Wang Huijun, 2004: Ocean data assimilation with background error covariance derived from OGCM output. Adv. Atmos. Sci., 21, 181-192.
12. Haney, R. L., 1971: Surface thermal boundary conditions for ocean circulation models. J. Phys. Oceanogr., 1, 241-248.
13. Hellerman, S., and M. Rosenstein, 1983: Normal monthly wind stress over the world ocean with error estimates. J. Phys. Oceanogr., 13 1093-1104.
14. Holland, W. R., and F. O. Bryan, 1993a: Sensitivity studies on the role of the ocean in climate change. Ocean Processes in Climate Dynamics: Global and Mediterranean Examples, P. Malanotte-Rizzoli and A. R. Robinson, Eds., NATO ASI Series, Kluwer Academic Publishers, Dordrecht, 111-134.
15. Jaeger, L., 1976: Monatskarten Des Niederschlags fur die ganze Erde. Selbstverlag Des Deutschen Wetterdienstes, Offenbach, Germany.
16. Maltrud, M. E., R. D. Smith, A. J. Semtner, and R. C. Malone, 1998: Global eddy-resolving ocean simulations driven by 1985-1995 atmospheric winds. J. Geophys. Res., 103, 20 825-30 853.
17. Navon, I., M., and D. M. Legler, 1987: Conjugate-gradient methods for large-scale minimization in meteorology. Mon. Wea. Rev., 115 1479-1502.
18. Pacanowski, R., and S. G. H. Philander, 1981: Parameterization of vertical mixing in numerical models of the tropical ocean. J. Phys. Oceanogr., 11, 1443-1451.
19. Parrish, D., and J. Derber, 1992: The National Meteorological Center's spectral statistical-interpolation analysis system. Mon. Wea. Rev. 120, 1747-1763.
20. Smith, R. D., M. E. Maltrud, F. O. Bryan, and M. W. Hecht, 2000: Numerical simulation of the North Atlantic at 1/10 degrees. J. Phys. Oceanogr., 30, 1532-1561.
21. Stammer, D., and C. W. Böning, 1992: Mesoscale variability in the Atlantic Ocean from Geosat altimetry and WOCE high resolution numerical, modeling. J. Phys. Oceanogr., 22, 732-752,
22. Tokmakian, R., and J. L. McClean, 2003: How realistic is the high-frequency signal of a 0.1°C resolution ocean model? J. Geophys. Res., 108(C4), 3115, doi:10.1029/2002JC001446.
23. Zhang, R.-H., and M. Endoh, 1992: A free surface general circulation model for the tropical Pacific Ocean. J. Geophys. Res., 97 C7), 11237-11255.
24. Zhou, Guangqing, Qingcun Zeng, and Ronghua Zhang, 1999: An improved coupled ocean-atmosphere general circulation model and its numerical simulation. Progress in Natural Sciences, 9, 374-381.
25. Zhu, J., and M. Kamachi 2000: An adaptive variational method for data assimilation with imperfect models. Tellus, 52A, 265-279.