Assessment of intraseasonal variabilities in China Ocean Reanalysis (CORA)
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摘要: 本文通过与观测资料以及ECCO2、SODA两个再分析产品的比较,评估了中国近海以及邻近海域海洋再分析产品(CORA)中的季节内变化。结果表明,与ECCO2和SODA资料相比,CORA资料能较好的刻画海表温度和海表面高度的季节内变化特征,这主要是由于CORA资料在中国近海及邻近海域具有较高的分辨率,同化了更多的区域数据,并且CORA所用模式对季节内尺度的大气强迫(主要是MJO)似乎有较强的响应。但在海洋次表层,CORA的季节内变化比现实要弱,这可能是因为同化的观测资料较少以及CORA所用模式的海洋内部垂向混合较弱。综上,CORA资料适合于中国近海海洋表层季节内变化的研究,但不太适合海洋次表层季节内过程的研究。Abstract: A regional reanalysis product-China Ocean Reanalysis (CORA)-has been developed for the China's seas and the adjacent areas. In this study, the intraseasonal variabilities (ISVs) in CORA are assessed by comparing with observations and two other reanalysis products (ECCO2 and SODA). CORA shows a better performance in capturing the intraseasonal sea surface temperatures (SSTs) and the intraseasonal sea surface heights (SSHs) than ECCO2 and SODA do, probably due to its high resolution, stronger response to the intraseasonal forcing in the atmosphere (especially the Madden-Julian Oscillation), and more available regional data for assimilation. But at the subsurface, the ISVs in CORA are likely to be weaker than reality, which is probably attributed to rare observational data for assimilation and weak diapycnal eddy diffusivity in the CORA model. According to the comparison results, CORA is a good choice for the study related to variabilities at the surface, but cares have to be taken for the study focusing on the subsurface processes.
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Carton J A, Giese B S. 2008. A reanalysis of Ocean climate using Simple Ocean Data Assimilation (SODA). Monthly Weather Re-view, 136(8):2999-3017 Carton J A, Chepurin G, Cao Xianhe. 2000a. A simple ocean data as-similation analysis of the global upper ocean 1950-95. Part II:results. Journal of Physical Oceanography, 30(2):311-326 Carton J A, Chepurin G, Cao Xianhe, et al. 2000b. A simple ocean data assimilation analysis of the global upper ocean 1950-95. Part I:methodology. Journal of Physical Oceanography, 30(2):294-309 Ezer T, Mellor G L. 2004. A generalized coordinate ocean model and a comparison of the bottom boundary layer dynamics in terrain-following and in z-level grids. Ocean Model, 6(3-4):379-403 Fofonoff N P, Millard R C. 1983. Algorithms for computation of funda-mental properties of seawater. Woods Hole Oceanographic In-stitution. Han Guijun, Fu Hongli, Zhang Xuefeng, et al. 2013a. A global ocean reanalysis product in the China Ocean Reanalysis (CORA) project. Advances in Atmospheric Sciences, 30(6):1621-1631 Han Guijun, Li Wei, Zhang Xuefeng, et al. 2011. A regional Ocean reanalysis system for coastal waters of China and adjacent seas. Advances in Atmospheric Sciences, 28(3):682-690 Han Guijun, Li Wei, Zhang Xuefeng, et al. 2013b. A new version of re-gional Ocean reanalysis for coastal waters of China and adja-cent seas. Advances in Atmospheric Sciences, 30(4):974-982 Kajikawa Y, Yasunari T, Wang Bin. 2009. Decadal change in in-traseasonal variability over the South China Sea. Geophysical Research Letters, 36(6):L06810 Kobashi F, Kawamura H. 2001. Variation of sea surface height at peri-ods of 65-220 days in the subtropical gyre of the North Pacific. Journal of Geophysical Research, 106(C11):26817-26831 Li Wei. 2008. Numerical study of the Kuroshio front to the East of Taiwan (in Chinese)[dissertation]. Qingdao:Ocean University of China Li Wei, Xie Yuanfu, He Zhongjie, et al. 2008. Application of the multi-grid data assimilation scheme to the China Seas' temperature forecast. J Atmos Oceanic Tech, 25(11):2106-2116 Li Yuanlong, Han Weiqing, Shinoda T, et al. 2014. Revisiting the Win-tertime Intraseasonal SST Variability in the Tropical South Indi-an Ocean:Impact of the Ocean Interannual Variation. Journal of Physical Oceanography, 44(7):1886-1907 Lin Xiaopei, Yin Yuqi, Zhai Ping, et al. 2014. A mechanism for the lat-itudinal dependence of peak-spectrum sea surface height vari-ability. J Geophys Res, 119(2):1431-1444, doi:10.1002/2013JC 009642 Madden R A, Julian P R. 1971. Detection of a 40-50 day oscillation in the zonal wind in the tropical Pacific. J Atmos Sci, 28(5):702-708 Matthews A J, Singhruck P, Heywood K J. 2007. Deep Ocean impact of a Madden-Julian oscillation observed by Argo floats. Science, 318(5857):1765-1769 Mellor G L, H.kkinen S, Ezer T, et al. 2002. A generalization of a sigma coordinate ocean model and an intercomparison of model vertical grids. In:Pinard N, Woods J, eds. Ocean Fore-casting:Conceptual Basis and Applications. Berlin:Springer, 55-72 Menemenlis D, Campin J-M, Heimbach P, et al. 2008. ECCO2:high resolution global ocean and sea ice data synthesis. Mercator Ocean Quarterly Newsletter, 31:13-21 Ponte R M, Wunsch C, Stammer D. 2007. Spatial mapping of time-variable errors in Jason-1 and TOPEX/Poseidon sea surface height measurements. Journal of Atmospheric and Oceanic Technology, 24(6):1078-1085 Qiao Fangli, Ezer T, Yuan Yeli. 2004. Zonal distribution features of high frequency planetary waves in the oceans derived from satellite altimeter data. Acta Oceanologica Sinica, 23(1):91-96 Qu Tangdong, Girton J B, Whitehead J A. 2006. Deepwater overflow through Luzon strait. Journal of Geophysical Research, 111(C1):doi: 10.1029/2005JC003139 Qu Tangdong, Mitsudera H, Yamagata T. 2000. Intrusion of the North Pacific waters into the South China Sea. Journal of Geophysical Research, 105(C3):6415-6424 Reynolds R W, Smith T M, Liu Chunying, et al. 2007. Daily high-resol-ution-blended analyses for sea surface temperature. Journal of Climate, 20(22):5473-5496 Stammer D, Chassignet E. 2000. Ocean state estimation and predic-tion in support of oceanographic research. Oceanography, 13(2):51-56 Sprintall J, Wijffels S, Gordon A L, et al. 2004. INSTANT:a new inter-national array to measure the Indonesian throughflow. EOS, 85(39):369 Su Jilan. 2005. Overview of the South China Sea circulation and its dy-namics. HaiyangXuebao (in Chinese), 27(6):1-8 Wang Guihua, Ling Zheng, Wu Renguang, et al. 2013. Impacts of the Madden-Julian oscillation on the summer South China Sea Ocean circulation and temperature. J Climate, 26(20):8084-8096 Wheeler M C, Hendon H H. 2004. An all-season real-time multivari-ate MJO index:development of an index for monitoring and prediction. Monthly Weather Review, 132(8):1917-1932 Wu C R, Chiang T-L. 2007. Mesoscale eddies in the northern South China Sea. Deep Sea Research Part II:Topical Studies in Oceanography, 54(14-15):1575-1588 Wu Yang. 2012. Characteristics of seasonal and interannual variabil-ity of the thermal structure in the upper South China Sea (in Chinese)[dissertation]. Nanjing:Nanjing University of Informa-tion Science & Technology Wu Yang, Cheng Guosheng, Han Guijun, et al. 2013. Analysis of sea-sonal and interannual variability of sea surface temperature for China Seas based on CORA dataset. HaiyangXuebao (in Chinese), 35(1):44-54 Wunsch C, Stammer D. 2003. III:OCEAN CIRCULATION:global ocean data assimilation and geoid measurements. Space Sci-ence Reviews, 108(1-2):147-162 Wyrtki K. 1961. Physical oceanography of the southeast Asian waters. NAGA REPORT Vol 2. La Jolla California:The University of Cali-fornia Scripps Institution of Oceanography Xie Shangping, Chang C H, Xie Qiang, et al. 2007. Intraseasonal vari-ability in the summer South China Sea:wind jet, cold filament, and recirculations. Journal of Geophysical Research, 112(C10):C10008 Xie Shangping, Liu W T, Liu Qinyu, et al. 2001. Far-reaching effects of the Hawaiian Islands on the Pacific ocean-atmosphere system. Science, 292(5524):2057-2060 Xie Shangping, Xie Qiang, Wang Dongxiao, et al. 2003. Summer up-welling in the South China Sea and its role in regional climate variations. Journal of Geophysical Research, 108(C8):3261 Xu Jianping, Chai Fei, Liu Zenghong, et al. 2003. Several significant hydrographic characteristics and their formation mechanism in the South China Sea during the spring and summer of 1998. Acta Oceanologica Sinica, 22(4):491-502 Yang Qingxuan, Tian Jiwei, Zhao Wei, et al. 2014b. Observations of turbulence on the shelf and slope of northern South China Sea. Deep Sea Research Part I:Oceanographic Research Papers, 87:43-52 Yang Qingxuan, Zhou Lei, Tian Jiwei, et al. 2014a. The roles of kur-oshio intrusion and mesoscale eddy in upper mixing in the northern South China Sea. Journal of Coastal Research, 30(1):192-198 Zhang C. 2005. Madden-Julian Oscillation. Reviews of Geophysics, 43:1-36 Zhang Dongxiao, Lee T N, Johns W E, et al. 2001. The kuroshio east of Taiwan:modes of variability and relationship to interior ocean mesoscale eddies. Journal of Physical Oceanography, 31(4):1054-1074 Zeng Guang'en, Lian Shumin, Cheng Xuhua. 2006. EOF analysis of intra-seasonal variabilities of SST in the East China Sea and Yellow Sea. Advances in Marine Science (in Chinese), 24(2):146-155 Zhang Linlin, Hu Dunxin, Hu Shijian, et al. 2014. Mindanao Current/Undercurrent measured by a subsurface mooring. Journal of Geophysical Research, 119(6):3617-3628 Zhai Ping. 2008. The distribution characteristic and mechanism of in-traseasonal oscillations in global Oceans (in Chinese)[disserta-tion]. Qingdao:Ocean University of China Zhou Faxiu, Ding Jie, Yu Shenyu. 1995. The intraseasonal oscillation of sea surface temperature in the South China Sea. Journal of Ocean University of Qingdao (in Chinese), 25(1):1-6 Zhou Faxiu, Gao Rongzhen. 2002. Intraseasonal variability of the sub-surface temperature observed in the South China Sea (SCS). Chinese Science Bulletin, 47(4):337-342 Zhou Lei, Murtugudde R. 2010. Influences of Madden-Julian oscilla-tions on the eastern Indian Ocean and the maritime continent. Dynamics of Atmospheres and Oceans, 50(2):257-274 Zhou Lei, Murtugudde R, Jochum M. 2008. Seasonal influence of In-donesian throughflow in the southwestern Indian Ocean. J Phys Oceanogr, 38(7):1529-1541
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