大气科学进展（英文版）
大氣科學進展（英文版）
대기과학진전（영문판）
ADVANCES IN ATMOSPHERIC SCIENCES
2010年
2期
293-302
,共10页
递归滤波器%资料同化%变分同化%海洋%应用%系统%误差协方差%三维
遞歸濾波器%資料同化%變分同化%海洋%應用%繫統%誤差協方差%三維
체귀려파기%자료동화%변분동화%해양%응용%계통%오차협방차%삼유
recursive filter%background error covariance%the Ocean Variational Assimilation System （OVALS）
In order to improve the efficiency of the Ocean Variational Assimilation System （OVALS）, which has been widely used in various applications, an improved OVALS （OVALS2） is developed based on the recursive filter （RF） algorithm. The first advantage of OVALS2 is that memory storage can be substantially reduced in practice because it implicitly computes the background error covariance matrix; the second advantage is that there is no inversion of the background error covariance by preconditioning the control variable. For comparing the effectiveness between OVALS2 and OVALS, a set of experiments was implemented by assimilating expendable bathythermograph （XBT） and ARGO data into the Tropical Pacific circulation model. The results show that the efficiency of OVALS2 is much higher than that of OVALS. The computational time and the computer storage in the assimilation process were reduced by 83% and 77%, respectively. Additionally, the corresponding results produced by the RF are almost as good as those obtained by OVALS. These results prove that OVALS2 is suitable for operational numerical oceanic forecasting.
