A Comparison Study of Tropical Pacific Ocean State Estimation:Low-Resolution Assimilation ***-Resolution Simulation

作     者：符伟伟 朱江 周广庆 王会军 

作者机构：Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 Graduate School of the Chinese Academy of Sciences Beijing 100039 Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2005年第22卷第2期

页      面：212-219页

核心收录：

学科分类：07[理学] 0707[理学-海洋科学] 

基　　金：This study is supported by the Key Program of Chinese Academy of Sciences KZCX3 SW-221 the National Natural Science Foundation of China(Grant No.40233033 and 40221503) 

主　　题：comparison study high-resolution model data assimilation low-resolution model 

摘      要：A comparison study is performed to contrast the improvements in the tropical Pacific oceanic state of a low-resolution model respectively via data assimilation and by an increase in horizontal resolution. A low resolution model (LR) (1°lat by 2°lon) and a high-resolution model (HR) (0.5°lat by 0.5°lon) are employed for the comparison. The authors perform 20-yr numerical experiments and analyze the annual mean fields of temperature and salinity. The results indicate that the low-resolution model with data assimilation behaves better than the high-resolution model in the estimation of ocean large-scale features. From 1990 to 2000, the average of HR s RMSE (root-mean-square error) relative to independent Tropical Atmosphere Ocean project (TAO) mooring data at randomly selected points is 0.97℃ compared to a RMSE of 0.56℃ for LR with temperature assimilation. Moreover, the LR with data assimilation is more frugal in computation. Although there is room to improve the high-resolution model, the low-resolution model with data assimilation may be an advisable choice in achieving a more realistic large-scale state of the ocean at the limited level of information provided by the current observational system.