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《大气和海洋科学快报(英文版)》 2010-02
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The Impact of "Bad" Argo Profiles on Ocean Data Assimilation

YAN Chang-Xiang 1 and ZHU Jiang 2 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  
Recent studies have found cold biases in a fraction of Argo profiles (hereinafter referred to as bad Array for Real-time Geostrophic Oceanography (Argo) profiles) due to the pressure drifts during 2003 and 2006. These bad Argo profiles have had an important impact on in situ observation-based global ocean heat content esti- mates. This study investigated the impact of bad Argo profiles on ocean data assimilation results that were based on observations from diverse ocean observation systems, such as in situ profiles (e.g., Argo, expendable bathy- thermograph (XBT), and Tropical Atmosphere Ocean (TAO), remote-sensing sea surface temperature products and satellite altimetry between 2004 and 2006. Results from this work show that the upper ocean heat content analysis is vulnerable to bad Argo profiles and demon- strate a cooling trend in the studied period despite the multiple independent data types that were assimilated. When the bad Argo profiles were excluded from the as- similation, the decreased heat content disappeared and a warming occurred. Combination of satellite altimetry and mass variation data from gravity satellite demonstrated an increase, which agrees well with the increased heat con- tent. Additionally, when an additional Argo profile quality control procedure was utilized that simply removed the profiles that presented static unstable water columns, the results were very similar to those obtained when the bad Argo profiles were excluded from the assimilation. This indicates that an ocean data assimilation that uses multiple data sources with improved quality control could be less vulnerable to a major observation system failure, such as a bad Argo event.
【Fund】: supported by the 973 Program(Grant No.2006CB403606);; the Chinese Academy of Sciences(Grant Nos.KZCX2-YW-143 and KZCX2-YW-202);; the 863 Program (Grant No.2009AA12Z138);; the National Natural Science Foundation of China (Grant Nos.40606008 40437017 and 40221503)
【CateGory Index】: P732
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Chinese Journal Full-text Database 1 Hits
1 YAN Changxiang;ZHU Jiang;XIE Jiping;International Center for Climate and Environment Sciences,Institute of Atmospheric Physics,Chinese Academy of Sciences;;An Ocean Data Assimilation System in the Indian Ocean and West Pacific Ocean[J];Advances in Atmospheric Sciences;2015-11
【Citations】
Chinese Journal Full-text Database 1 Hits
1 Ji Fengying ( 纪风颖 )1, Lin Shaohua ( 林绍花 )2 2 1 College of Environment ,Ocean University of China, Qingdao 266003, Shandong, China 2 China National Marine Data & Information Service, Tianjin 300171, China;Quality Control of ARGO Data Based on Climatological T-S Models[J];Marine Science Bulletin;2004-02
【Co-citations】
Chinese Journal Full-text Database 3 Hits
1 WANG Hui-Zan1,2,ZHANG Ren1,WANG Gui-Hua2,AN Yu-Zhu1,JIN Bao-Gang1,2 1 PLA Research Center of Ocean Environment Numerical Simulation,Institute of Meteorology, PLA University of Science and Technology,Nanjing 211101,China 2 State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography, State Oceanic Administration,Hangzhou 310012,China;Quality control of Argo temperature and salinity observation profiles[J];地球物理学报;2012-02
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1 Xiao DONG;Renping LIN;Jiang ZHU;Zeting LU;International Center for Climate and Environment Sciences, Institute of Atmospheric Physics,Chinese Academy of Sciences;University of Chinese Academy of Sciences;Troop 61741,PLA;;Evaluation of Ocean Data Assimilation in CAS-ESM-C:Constraining the SST Field[J];Advances in Atmospheric Sciences;2016-07
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