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Evaluation of a 3dVAR system for the South China Sea

查看全文 作  者:Xianjun [1,2]Xiao;Dongxiao [1]Wang;Changxiang [3]Yan;Jiang [3]Zhu 高影响力作者 机构地区:[1]LED, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;[2]NCC, China Meteorological Administration, Beijing 100081, China;[3]Institute of Atmospheric Physics, Chinese Academy of Sciences, Beoing 100029, China高影响力机构 出  处:《Progress in Natural Science:Materials International》索引2008年第18卷第5期,共8页高影响力期刊 基  金:This work was supported by the National Natural Science Foundation of China (Grant Nos.404760l3 and 406250l7) ; M OST of China (Grant Nos.2006AA09Z156 and 2002AA639250);The ECCO.SIO 0 data were provided by the Consortium for Estimating the Circulation and Climate of the Ocean(ECCO) funded by the National Oceanographic Partnership Program.NCEP Reanalysis data were provided by the NOAA/OAR/ESRL PSD,Boulder,Colorado,USA,from their W eb site at http://gffzzf0e8ee987ee640dfhu5c9xnvwxcxo6wqn.ffgz.tsg.suse.edu.cnnoaa.gov. 摘  要:The authors evaluate a three-dimensional variational (3dVAR) system for the South China Sea (SCS) in this study. The assimilation method applied in the system takes into consideration error correlation along each ground track and uses recursive lter for optimiza- tion. Data from three R/V cruises during the spring and summer of 1998 and the summer of 2000 are used to evaluate the system. The root-mean-square error and bias are reduced signi cantly and when the altimeter data are assimilated, the distribution of the error is much closer to the Gaussian distribution. Precipitation and river discharge in the southwestern SCS are reproduced, and the variability of sea surface height is e ciently transferred to the subsurface. The 3dVAR system performs well for each of the three cruises, suggesting that it is steady for routine usage. 关 键 词:南中国海 三维变化数据 同化现象 过滤器
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