Argo温盐资料在BCCGODAS2.0中的同化试验

基于国家气候中心新一代的海洋资料同化系统（BCCGODAS2.0）,对20042008年Argo温盐资料进行了同化试验,并利用TAO（International Tropical Ocean and Global Atmosphere/Tropical Atmosphere Ocean）、OISST（OptimallyZnterPolated Sea Surface Temperature）和SODA（Simple Ocean Data Assimilation）数据集进行了检验和评估。同化结果对01000m的整层海洋的模拟都有改善,尤其在混合层更为明显,能够使温度的均方根误差（RMSE,Root Mean Squared Error）减小3℃,盐度的均方根误差减小0.2psu。尤其是减小了北半球中高纬地区、北大西洋温度模拟的显著误差。模拟结果中在中西太平洋、印度洋地区明显的暖异常也在同化结果中得到了校正。通过TAO时间序列资料的验证表明,同化后能很好地模拟出热带附近上层海洋的季节变化震荡幅度。此外,同化之后,模拟的效果能得到较为稳定的改善,证明系统是稳定的,这对在业务上的应用打好了良好的基础。

Argo Temperature/Salinity Data Assimilation Experiment in BCC_GODAS2.0

Based on the new generation developing Global Ocean Data Assimilation System of National Climate Center,the assimilation experiment take place to Argo temperature /salt data during 2004-2008,TAO,OISST and SODA data were carried out an inspection certificate.The results suggested that the simulation of the 0-1 000 meters entire layer of the ocean have improved,especially obvious in the mixed layer,RMSE of temperature can reduced 3 ℃,and RMSE of salinity to 0.2psu,reduce the notable temperature simulate error of high latitude area,the North Atlantic Ocean in the Northern Hemisphere.The warm anomaly is also apparent correct in the Central and Western Pacific,Indian Ocean region.The verification by TAO time series data indicate that,assimilation can seize the seasonal temperature variation much better.In addition,after assimilation,the simulation effect can have a more steady improvement to prove that the system is stable,which builds the good foundation in the service application.