| GTS的温盐资料在BCC_GODAS中的同化结果分析 |
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| 引用本文： | 刘向文,李维京,吴统文,肖贤俊.GTS的温盐资料在BCC_GODAS中的同化结果分析[J].应用气象学报,2010,21(5):558-569. |
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| 作者姓名： | 刘向文 李维京 吴统文 肖贤俊 |
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| 作者单位： | 国家气候中心中国气象局气候研究开放实验室, 北京 100081 |
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| 基金项目： | 国家重点基础研究发展计划项目，财政部行业专项，中国气象局"风云气象卫星遥感开发与应用"项目 |
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| 摘 要： | 分析了从GTS(全球无线通讯系统)获得的2002-2007年海洋温盐观测资料在国家气候中心第2代全球海洋资料同化系统(BCC_GODAS 2.0)中的同化结果。与SODA(简易海洋同化数据)资料的比较表明:GTS中的海洋温盐资料同化对模式温盐场的改进之处主要表现在混合层暖区的范围和中心强度、温跃层中温度槽脊的深度、温跃层附近的温度梯度以及盐度高、低值区的范围和中心强度等方面,同化后全球温盐场的均方根误差得到一定程度的降低。挑选位于不同海区的单点温盐廓线与ARGO(地转海洋学实时观测阵)观测作了进一步比较,结果表明:大多数情况下,同化后温盐廓线的均方根误差得到明显降低,模拟的温盐垂向分布特征也更为准确。与TAO(热带大气海洋观测网)资料的比较也同样表明:同化后的温盐场特征会得到一定程度改善。
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| 关 键 词： | GTS BCC_GODAS 温度 盐度 剖面 廓线 |
| 收稿时间： | 2009-08-11 |
| 修稿时间： | 7/2/2010 12:00:00 AM |
The Assimilation Results of Ocean Temperature and Salinity Data from GTS in BCC_GODAS 2.0 |
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| Liu Xiangwen,Li Weijing,Wu Tongwen and Xiao Xianjun.The Assimilation Results of Ocean Temperature and Salinity Data from GTS in BCC_GODAS 2.0[J].Quarterly Journal of Applied Meteorology,2010,21(5):558-569. |
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| Authors: | Liu Xiangwen Li Weijing Wu Tongwen and Xiao Xianjun |
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| Affiliation: | Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081 |
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| Abstract: | Ocean temperature and salinity observations data from GTS (Global Telecommunication System) are assimilated in second generation global ocean data assimilation system of Beijing Climate Center (BCC_GODAS 2.0) and the results are analyzed. First, the comparison with SODA (Simple Ocean Data Assimilation) reveals the vertical distribution features of root mean square error (RMSE) of global temperature and salinity in model and assimilation system. The analysis shows that, for the RMSE of temperature with assimilation, compared with the results without assimilation, it has a slight decline with a range of 0—0.3 ℃ in the sea surface layer, and an obvious descent with a range of 0.1—0.7 ℃ in depth from about 100 m to deep layer, but has no obvious variation in depth from the middle and lower mixed layer to about 100 m. For the RMSE of salinity after assimilation, it has a descent with a range of 0—0.2 psu in depth from ocean surface to deep layer. Second, further comparison is made for some vertical cross sections, including the zonal cross section along equator, the meridional cross section along 165°E in Pacific Ocean, the meridional cross section along 30°W in Atlantic Ocean, the longitudinal cross section along 90°E in Indian Ocean. The results show that, generally speaking, the GTS data assimilation improves the temperature and salinity simulation in many aspects including the extension and central intensity of warm sector in mixed layer, the depth of temperature ridge and trough in thermocline, the temperature gradient near thermocline, the extension and central intensity of high and low salinity sector, and so on. Moreover, the further comparison with some ARGO (Array for Real time Geostrophic Oceanography) observation indicates that, in most cases, the RMSE of temperature and salinity profiles has an obvious descent after assimilation, leading to more accurate vertical distribution features of temperature and salinity simulations. For selected single point profiles in different ocean areas in January, after assimilation, the RMSE of temperature and salinity decrease by 0.49 ℃ and 0.19 psu, respectively; for selected profiles in July, the descent of RMSE of temperature and salinity is 0.87 ℃ and 0.18 psu, respectively. The comparison with TAO (Tropical Atmosphere Ocean) data also shows that the assimilation can improve the temperature and salinity features to a certain extent. The BCC_GODAS 2.0 has superiority in some degree in ocean data assimilation, however, there is still some deficiency, and the assimilation effect is not very good in some areas or periods, which may be induced by lack of observations, uncertainties of the data, the imperfection of assimilation system, as well as the simulation capability of model, and so on. |
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| Keywords: | GTS BCC_GODAS |
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