An Ocean Reanalysis System for the Joining Area of Asia and Indian-Pacific Ocean  

作　　者：YAN Chang-Xiang ZHU Jiang XIE Ji-Ping 

机构地区：[1]International Center for Climate and Environment Science, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China [2]State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry （LAPC）, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

出　　处：《Atmospheric and Oceanic Science Letters》2010年第2期81-86,共6页大气和海洋科学快报（英文版）

基　　金：supported by the Chinese Academy of Sciences (Grant No. KZCX2-YW-202);the 973 Pro-gram (Grant No. 2006CB403606),the 863 Program (Grant No.2009AA12Z138);the National Natural Science Foundation of China (Grant Nos. 40606008,40437017,and 40221503)

摘　　要：An ocean reanalysis system for the joining area of Asia and Indian-Pacific Ocean (AIPO) has been developed and is currently delivering reanalysis data sets for study on the air-sea interaction over AIPO and its climate variation over China in the inter-annual time scale.This system consists of a nested ocean model forced by atmospheric reanalysis,an ensemble-based multivariate ocean data assimilation system and various ocean observations.The following report describes the main components of the data assimilation system in detail.The system adopts an ensemble optimal interpolation scheme that uses a seasonal update from a free running model to estimate the background error covariance matrix.In view of the systematic biases in some observation systems,some treatments were performed on the observations before the assimilation.A coarse resolution reanalysis dataset from the system is preliminarily evaluated to demonstrate the performance of the system for the period 1992 to 2006 by comparing this dataset with other observations or reanalysis data.An ocean reanalysis system for the joining area of Asia and Indian-Pacific Ocean （AIPO） has been developed and is currently delivering reanalysis data sets for study on the air-sea interaction over AIPO and its climate variation over China in the inter-annual time scale. This system consists of a nested ocean model forced by atmospheric reanalysis, an ensemble-based multivariate ocean data assimilation system and various ocean obser- vations. The following report describes the main components of the data assimilation system in detail. The system adopts an ensemble optimal interpolation scheme that uses a seasonal update from a free running model to estimate the background error covariance matrix. In view of the systematic biases in some observation systems, some treatments were performed on the observations before the assimilation. A coarse resolution reanalysis dataset from the system is preliminarily evaluated to demonstrate the performance of the system for the period 1992 to 2006 by comparing this dataset with other observations or reanalysis data.

关 键 词：reanalysis system data assimilation ensemble optimal interpolation background error covariance 

分 类 号：O212.1[理学—概率论与数理统计] TG172.3[理学—数学]