Numerical study on the interannual oscillation of sea surface temperature in the South China Sea[J]. 海洋湖沼学报(英文), 1996,14(1):61-67.
Dong-xiao, W., Fa-xiu, Z., Gang, F. et al. Numerical study on the interannual oscillation of sea surface temperature in the South China Sea., Chin. J. Ocean. Limnol. 14, 61–67 (1996). https://doi.org/10.1007/BF02850542
Numerical study on the interannual oscillation of sea surface temperature in the South China Sea[J]. 海洋湖沼学报(英文), 1996,14(1):61-67. DOI: 10.1007/BF02850542.
Dong-xiao, W., Fa-xiu, Z., Gang, F. et al. Numerical study on the interannual oscillation of sea surface temperature in the South China Sea., Chin. J. Ocean. Limnol. 14, 61–67 (1996). https://doi.org/10.1007/BF02850542DOI:
Numerical study on the interannual oscillation of sea surface temperature in the South China Sea
摘要
Abstract
A two and a half layer oceanic model of wind-driven
thermodynamical general circulation is applied to study the interannual oscillation of sea surface temperature (SST) in the South China Sea (SCS). The model consists of two active layers: the upper mixed layer (UML) and the seasonal thermocline
with the motionless abyss beneath them. The governing equations which include momentum
continuity and sea temperature for each active layer
can describe the physics of Boussinseq approximation
reduced gravity and equatorial β-plane. The formulas for the heat flux at the surface and at the interface between two active layers are designed on the Haney scheme. The entrainment and detrainment at the bottom of the UML induces vertical transport of mass
momentum and heat
and couples of dynamic and thermodynamic effects. Using leap-frog integrating scheme and the Arakawa—C grid the model is forced by a time-dependent wind anomaly stress pattern obtained from category analysis of COADS. The numerical results indicate that there is a kind of oscillation with about 30 months period. The paper supports the opinion that the SST interannual oscillation is the oceanic response to the forcing by monsoon wind anomalies in the SCS.
关键词
Keywords
references
Haney, R. L., 1971. Surface thermal boundary condition for ocean circulation models.J. Phys. Oceano.,1: 241–248.
McCreary Jr., J. P., Yu Zuojun, 1992. Equatorial dynamics in a 2 1/2 layer model.Prog. Oceano. 29: 61–132.
McCreary Jr., J. R., Kundu, P. K., 1988. A numerical investigation of the Somali Current during the Southwest Monsoon.J. Mari. Res.,46: 25–58.
Neelin, J. D., 1991. The slow sea surface temperature model and the fast-wave limit: Analytic theory for tropical interannual oscillations and experiments in a hybrid coupled model.J. Atmos. Sci.,48: 584–606.
Niller, P. P., Kraus, E. B., 1977. One Dimensional Models of the Upper Layer. in Modelling and Prediction of the Upper Layers of the Ocean. Ed. E. B. Kraus, Pergamon Press, Oxford, pp. 143–177.
Philander, S. G. H., Yamagata, T., Pacanowski, R. C., 1984. Unstable air-sea interactions in the tropic.J. Atmos. Sci. 41: 604–613.
Schopf, P. S., Cane, M. A., M. A., 1982. On equatorial dynamics, mixed layer physics and sea surface temperature.J. Phys. Oceano. 13: 917–935.
Zebiak, S. E., Cane, M. A., 1987. A model El Niño and Southern Oscillation.Mon. Wea. Rev. 115: 2262–2278.
Zhou Faxiu, Yu Shenyu, 1991. The low frequency oscillation of SST in the South China Sea.Acta Oceano. Sinica,13: 333–338. (in Chinese with English abstract).
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相关作者
Yun LIANG
Yan DU
Shang-Ping XIE
Wang Dong-xiao
Li Yong-ping
Zekai CHEN
Yifan LIU
Qiong XIA
相关机构
State Key Laboratory of Tropical Oceanography & Key Laboratory of Science and Technology on Operational Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences & Innovation Academy of South China Sea Ecology and Environmental Engineering
College of Marine Science, University of Chinese Academy of Sciences
Peking University Chongqing Research Institute of Big Data
Southern Marine Science and Engineering Guangdong Laboratory
Scripps Institution of Oceanography, University of California, San Diego, La Jolla