利用ARGO资料改进海洋资料同化和海洋模式中的物理过程

UTILIZING ARGO DATA TO IMPROVE THE OCEAN DATA ASSIMILATION AND THE RELATIVE PHYSICAL PROCESSES IN ZC OCEAN MODEL

中文关键词:  ARGO浮标资料  海洋资料同化  海洋物理过程  模式改进

英文关键词:ARGO floats data  Ocean data assimilation  Ocean physical process  Model improvement

中文摘要:

      国际ARGO计划的实施每年将可提供多达10万个剖面(0～2000m水深)的海水温度和盐度资料,这些资料的获取无疑将会大大促进海洋和大气科学的发展,使人们加深对海洋过程的了解,揭示海气相互作用的机理,为长期天气预报和短期气候预测提供模式初始场,提高长期天气预报和短期气候预测的能力。如何利用这些资料开展研究工作以及在实际业务中应用这些资料是目前大气和海洋科学界的一个前沿课题。本研究将ARGO浮标资料引入了国家气候中心的NCC-GODAS同化系统,结果分析表明,同化ARGO资料后所得到的海温场在三大洋中不仅在温度数值的大小,而且在分布形式方面都与观测场具有较好的一致性,可以很好地反映出观测到的冬季和夏季海温的分布形式以及海温的季节变化特征和异常特征。本研究还应用最新的ARGO海洋观测资料,通过建立新的热带西太平洋次表层海温参数化方案,改进了Zebiak-Cane(1987)海洋模式(ZC模式),克服了ZC模式几乎没有模拟赤道西太平洋表层和次表层海温变化能力的缺陷。在ZC模式中引用新的次表层海温参数化方案后,在赤道西太平洋不仅次表层海温的模拟得到了改善,对海面温度异常的模拟也有了较大的改进,不仅模拟出了赤道西太平洋表层和次表层海温异常的年际变化特征,也模拟出了与观类似的振幅的变化。

英文摘要:

      The international ARGO Project can provide more than 100000 profiles (from 0-2000 meters depth) of seawater temperature and salinity every year, which would be of great benefit to the development of ocean and atmosphere sciences. It is very helpful to deepen the comprehension of the ocean processes, to reveal the mechanism of ocean-atmosphere interaction, and to provide the more real model initial field for long-range weather and shortterm climate forecasting so as to improve the model forecasting ability. Presently, it is one of the hot issues in the both science fields of atmosphere and ocean, that utilizing these data to study and to apply these data in practical operation. In this study, the ARGO buoy data were int roduced to the NCC-GODAS assimilation system. It is viewed by the results that the sea water temperatures assimilated with ARGO data agree well with the observations in three oceans not only on the magnitude of temperature but also on the distributing forms. It is also shown clearly that it can better describe the observed sea water temperature pattern in both winter and summer seasons as well as the characters of the seasonal variation and interannual anomalies. Additionally, in this study, the Zebiak-Cane (1987) ocean model has been improved by establishing a new subsurface temperature parameterize scheme for equatorial western Pacific Ocean, based on the ARGO data. It is indicated that it overcomes the limitation that ZC model can't simulate the surface and subsurface temperature in equatorial western Pacific Ocean. With the new parameterization, the simulated subsurface temperature anomalies are improved but the sea surface temperature anom alies are also better simulated. It is also revealed that both the simulated interannual characters and the variability amplitudes of surface and subsurface temperature are similar with the observations.