中文摘要：

随着卫星遥感观测技术的发展,越来越多的卫星观测资料被应用于数值模式的同化研究中。基于国家海洋环境预报中心西北太平洋三维温盐流预报系统,利用法国CLS中心的沿轨高度计资料的海表面高度异常的融合数据,结合基于三维变分的OVALS（ocean variational analysis sys-tem）同化系统,在垂向将海面高度资料反演为温盐廓线后进行水平面上的温度和盐度同化,研究卫星高度计资料在三维海温和盐度数值预报中的作用,结果表明,加入高度计资料同化的预报结果好于未使用同化的预报结果,这说明高度计资料同化对短期数值预报结果的改进是有效的。

英文摘要：

With the development of remote sensing technology,satellite observation data have been used to study the numerical model assimilation technology.The 3-D northwest Pacific sea temperature,salinity and current forecast system developed by the National Marine Environment Forecasting Center is applied here to assimilating the sea surface height abnormal（SSHA） of the Collecte Localisation Satellites altimeter data with OVALS（ocean variational analysis system） which is based on 3-D-VAR scheme.The sea temperature and salinity profile data transformed from altimeter data are assimilated in the horizontal layer to find out the effect of the altimeter data on the numerical prediction.The results show that the forecasting accuracy by adding altimeter data assimilation is better than without assimilation,which verifies that the altimeter data assimilation for the improvement of the short-term numerical prediction is valid.