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《大气科学进展(英文版)》 2005-05
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Evaluation of Mid-Depth Currents of NCEP Reanalysis Data in the Tropical Pacific Using ARGO Float Position Information

XIE Jiping*1,2 ZHU Jiang1 XU Li2 and GUO Pinwen2 1 Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 2 Department of Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044  
The global project of the Array for Real-time Geostrophic Oceanography (ARGO) provides a unique opportunity to observe the absolute velocity in mid-depths of the world oceans. A total of 1597 velocity vectors at 1000 (2000) db in the tropical Pacific derived from the ARGO float position information during the period November 2001 to October 2004 are used to evaluate the intermediate currents of the National Centers for Environmental Prediction reanalysis. To derive reliable velocity information from ARGO float trajectory points, a rigorous quality control scheme is applied, and by virtue of a correction method for reducing the drift error on the surface in obtaining the velocity vectors, their relative errors are less than 25%. Based on the comparisons from the quantitative velocity vectors and from the space-time average currents, some substantial discrepancies are revealed. The first is that the velocities of the reanalysis at mid-depths except near the equator are underestimated relative to the observed velocities by the floats. The average speed difference between NCEP and ARGO values ranges from about -2.3cm s-1 to-1.8 cm s-1, The second is that the velocity difference between the ocean model and the observations at 2000 dB seems smaller than that at 1000 dB. The third is that the zonal flow in the reanalysis is too dominant so that some eddies could not be simulated, such as the cyclonic eddy to the east of 160°E between 20°N and 30°N at 2000 dB. In addition, it is noticeable that many floats parking at 1000 dB cannot acquire credible mid-depth velocities due to the time information of their end of ascent (start of descent) on the surface in the trajectory files. Thus, relying on default times of parking, descent and ascent in the metadata files gravely confines their application to measuring mid-depth currents.
【CateGory Index】: P731.21
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【References】
Chinese Journal Full-text Database 3 Hits
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【Co-references】
Chinese Journal Full-text Database 6 Hits
1 SU Jing-zhi, WANG Dong-xiao, CHEN Ju, DU Yan, XIE Qiang (LED, South China Sea Institute of Oceanonolgy, Chinese Academy of Sciences, Guangzhou 510301, China);MODELING THE TRAJECTORIES OF SATELLITE-TRACKED DRIFTERS WITH REGRESSION MODELS[J];Advance in Earth Sciences;2005-06
2 SU Jing-Zhi, LU Jun *L,HOU Yi-Jun,FANG Guo-Hong,WEI Ze-Xun,YIN Bao-Shu (Institute of Oceanology,The Chinese Academy of Sciences,Qingdao,266071) *L (Industry University of Tianjin,Tianjin,300191);ANALYSIS OF SATELLITE-TRACKED DRIFTING BUOYS IN THE SOUTH CHINA SEA[J];Oceanologia Et Limnologia Sinica;2002-02
3 Zhang Renhe (Chinese Academy of Meteorological Sciences, Beijing 100081) Liu Yimin (National Climate Center, CMA, Beijing 100081) Yin Yonghong Shi Li (Chinese Academy of Meteorological Sciences, Beijing 100081);UTILIZING ARGO DATA TO IMPROVE THE OCEAN DATA ASSIMILATION AND THE RELATIVE PHYSICAL PROCESSES IN ZC OCEAN MODEL[J];Acta Meteorologica Sinica;2004-05
4 He Zhigang, Wang Dongxiao, Hu Jianyu1. Institute of Subtropical Oceanography, Xiamen University, Xiamen 361005, China2. LED, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;Features of eddy kinetic energy and variations of upper circulation in the South China Sea[J];海洋学报(英文版);2002-02
5 WANG Guihua, SU Jilan, LI RongfengKey Laboratory of Ocean Dynamic Processes and Satellite Oceanography of State Oceanic Administration Jiangzhou 310012, ChinaSecond Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, ChinaLASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;Mesoscale eddies in the South China Sea and their impact on temperature profiles[J];海洋学报(英文版);2005-01
6 Zhang Renhe~(1)) Yin Yonghong~(1)) Li Qingquan~(2)) Liu Yimin~(2)) Niu Tao~(1)) ~(1))(State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081) ~(2))(National Climate Center,Beijing 100081);Utilizing ARGO Data to Improve the Prediction of ENSO and Short-term Climate Prediction of Summer Rainfall in China[J];Journal of Applied Meteorological Science;2006-05
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