Acta Oceanologica Sinica

, Volume 36, Issue 6, pp 1–11 | Cite as

China Argo project: progress in China Argo ocean observations and data applications

  • Zenghong Liu
  • Xiaofen Wu
  • Jianping Xu
  • Hong Li
  • Shaolei Lu
  • Chaohui Sun
  • Minjie Cao


This paper reviews the current achievements of the China Argo project. It considers aspects of both the construction of the Argo observing array, float technology, and the quality control and sharing of its data. The developments of associated data products and data applications for use in the fields of ocean, atmosphere, and climate research are discussed, particularly those related to tropical cyclones (typhoons), ocean circulation, mesoscale eddies, turbulence, oceanic heat/salt storage and transportation, water masses, and operational oceanic/atmospheric/climatic forecasts and predictions. Finally, the challenges and opportunities involved in the long-term maintenance and sustained development of the China Argo ocean observation network are outlined. Discussion also focuses on the necessity for increasing the number of floats in the Indian Ocean and for expanding the regional Argo observation network in the South China Sea, together with the importance of promoting the use of Argo data by the maritime countries of Southeast Asia and India.

Key words

China Argo ocean observation float development Argo data data application 


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  1. An Yuzhu, Zhang Ren, Wang Huizan, et al. 2012. Study on calculation and spatio-temporal variations of global ocean mixed layer depth. Chinese Journal of Geophysics (in Chinese), 55(7): 2249–2258Google Scholar
  2. Argo Science Team. 1998. On the design and implementation of Argo: an initial plan for a global array of profiling floats. ICPO Report No. 21. Melbourne, Vic: GODAE International Project Office, Bureau of MeteorologyGoogle Scholar
  3. Böhme L. 2003. Quality control of profiling float data in the subpolar north Atlantic [dissertation]. Kiel, Germany: Christian-Albrechts-UniversitätGoogle Scholar
  4. Brasseur P, Gruber R, Barciela R, et al. 2009. Integrating biogeochemistry and ecology into ocean data assimilation systems. Oceanography, 22(3): 206–215CrossRefGoogle Scholar
  5. Castelao R M. 2014. Mesoscale eddies in the South Atlantic Bight and the Gulf Stream recirculation region: vertical structure. Journal of Geophysical Research, 119(3): 2048–2065Google Scholar
  6. Chang Y S, Zhang Shaoqing, Rosati A, et al. 2013. An assessment of oceanic variability for 1960–2010 from the GFDL ensemble coupled data assimilation. Climate Dynamics, 40(3–4): 775–803CrossRefGoogle Scholar
  7. Chen Dake. 2011. Collection of Argo Research Papers (in Chinese). Beijing: China Ocean Press, 199Google Scholar
  8. Chen Dake. 2012. Argo-China. Atmosphere-Ocean, 50(Suppl): 1–3CrossRefGoogle Scholar
  9. Chen Ge, Chen Hanou. 2015. Interannual modality of upper-ocean temperature: 4D structure revealed by Argo data. Journal of Climate, 28(9): 3441–3452CrossRefGoogle Scholar
  10. Chen Ge, Wang Xuan. 2016. Vertical structure of upper-ocean seasonality: annual and semiannual cycles with oceanographic implications. Journal of Climate, 29(1): 37–59CrossRefGoogle Scholar
  11. Chen Ge, Yu Fangjie. 2015. An objective algorithm for estimating maximum oceanic mixed layer depth using seasonality indices derived from Argo temperature/salinity profiles. Journal of Geophysical Research, 120(1): 582–595Google Scholar
  12. Chen Yide, Zhang Ren, Jiang Guorong. 2006. Evaluation and analysis of Mid-Depth currents of the equatorial Pacific using Argo float position information. Marine Forecasts (in Chinese), 23(4): 37–46Google Scholar
  13. Cheng Lijing, Zhu Jiang. 2014a. Artifacts in variations of ocean heat content induced by the observation system changes. Geophysical Research Letters, 41(20): 7276–7283CrossRefGoogle Scholar
  14. Cheng Lijing, Zhu Jiang. 2014b. Uncertainties of the ocean heat content estimation induced by insufficient vertical resolution of historical ocean subsurface observations. Journal of Atmospheric and Oceanic Technology, 31(6): 1383–1396CrossRefGoogle Scholar
  15. Cheng Lijing, Zhu Jiang. 2015. Influences of the choice of climatology on ocean heat content estimation. Journal of Atmospheric and Oceanic Technology, 32(2): 388–394CrossRefGoogle Scholar
  16. Cheng Lijing, Zhu Jiang, Sriver R L. 2015. Global representation of tropical cyclone-induced short-term ocean thermal changes using Argo data. Ocean Science, 11(5): 719–741CrossRefGoogle Scholar
  17. Du Yan, Zhang Yuhong, Feng Ming, et al. 2015. Decadal trends of the upper ocean salinity in the tropical Indo-Pacific since mid-1990s. Scientific Reports, 5: 16050, doi: 10.1038/srep16050CrossRefGoogle Scholar
  18. Fukasawa M, Freeland H, Perkin R, et al. 2004. Bottom water warming in the North Pacific Ocean. Nature, 427(6977): 825–827CrossRefGoogle Scholar
  19. Gao Fei, Zhang Ren, Li Can, et al. 2014. Analysis of the characteristics of temperature and thermocline in the ocean east of Taiwan based on gridded Argo data. Journal of Tropical Oceanography (in Chinese), 33(1): 17–25Google Scholar
  20. Gray A R, Riser S C. 2014. A global analysis of Sverdrup balance using absolute geostrophic velocities from Argo. Journal of Physical Oceanography, 44(4): 1213–1229CrossRefGoogle Scholar
  21. Guinehut S, Dhomps A L, Larnicol G, et al. 2012. High resolution 3-D temperature and salinity fields derived from in situ and satellite observations. Ocean Science Discussion, 8(5): 845–857CrossRefGoogle Scholar
  22. Han Guijun, Fu Hongli, Zhang Xuefeng, et al. 2013. A global ocean reanalysis product in the China Ocean Reanalysis (CORA) project. Advances in Atmospheric Sciences, 30(6): 1621–1631CrossRefGoogle Scholar
  23. Han Guijun, Li Wei, Zhang Xuefeng, et al. 2011. A regional ocean reanalysis system for coastal waters of china and adjacent seas. Advances in Atmospheric Sciences, 28(3): 682–690CrossRefGoogle Scholar
  24. Han Yukang, Zhou Lin. 2015. Analysis of acoustic field in tropical Indian Ocean upper based on Argo data. Journal of PLA University of Science and Technology (Natural Science Edition) (in Chinese), 16(2): 180–187Google Scholar
  25. Jiang Lianghong, Chen Dake. 2012. Spatiotemporal analysis of tropical Pacific barrier layer thickness. Journal of Marine Sciences (in Chinese), 30(2): 14–20Google Scholar
  26. Johnson G C, Purkey S G, Bullister J L. 2008. Warming and freshening in the abyssal southeastern Indian Ocean. Journal of Climate, 21(20): 5351–5363CrossRefGoogle Scholar
  27. Johnson K S, Berelson M W, Boss E S, et al. 2009. Observing biogeochemical cycles at global scales with profiling floats and gliders: prospects for a global array. Oceanography, 22(3): 216–225CrossRefGoogle Scholar
  28. Kwon Y O, Alexander M A, Bond N A, et al. 2010. Role of the gulf stream and Kuroshio-Oyashio systems in large-scale atmosphere-ocean interaction: a review. Journal of Climate, 23(12): 3249–3281CrossRefGoogle Scholar
  29. Li Hong, Liu Zenghong, Xu Jianping, et al. 2015. Introduction of Global Ocean Argo Gridded Dataset (BOA_Argo) (in Chinese). Hangzhou: China Argo Real-time Data CenterGoogle Scholar
  30. Li Hong, Liu Zenghong, Xu Jianping, et al. 2016. Introduction of Global Ocean Argo Gridded Dataset (BOA_Argo) (in Chinese). Hangzhou: China Argo Real-time Data CenterGoogle Scholar
  31. Li Hong, Xu Jianping, Liu Zenghong, et al. 2012. Global Ocean Argo Gridded Dataset (BOA_Argo) User Manual (in Chinese). Hangzhou: China Argo Real-time Data CenterGoogle Scholar
  32. Li Hong, Xu Jianping, Liu Zenghong, et al. 2013. Study on the global ocean Argo gridded dataset and its validation community in coastal waters of Yantai. Marine Science Bulletin (in Chinese), 32(6): 615–625Google Scholar
  33. Li Hong, Xu Jianping, Liu Zenghong, et al. 2014. Global Ocean Argo Gridded Dataset (BOA_Argo) User Manual (in Chinese). Hangzhou: China Argo Real-time Data CenterGoogle Scholar
  34. Li H, Xu F, Zhou W, et al. 2017. Development of a global gridded Argo data set with Barnes successive corrections. Journal of Geophysical Research Oceans, 122, doi: 10.1002/2016JC012285Google Scholar
  35. Lin I I, Black P, Price J F, et al. 2013a. An ocean coupling potential intensity index for tropical cyclones. Geophysical Research Letters, 40(9): 1878–1882CrossRefGoogle Scholar
  36. Lin I I, Goni G J, Knaff J A, et al. 2013b. Ocean heat content for tropical cyclone intensity forecasting and its impact on storm surge. Natural Hazards, 66(3): 1481–1500CrossRefGoogle Scholar
  37. Lin I I, Pun L F, Lien C C. 2014. “Categoty-6” supertyphoon Haiyan in global warming hiatus: contribution from subsurface ocean warming. Geophysical Research Letters, 41(23): 8547–8553CrossRefGoogle Scholar
  38. Liu Yimin, Li Weijing, Zhang Peiqun. 2005. A global 4-dimensional ocean data assimilation system and the studies on its results in the tropic Pacific. Haiyang Xuebao (in Chinese), 27(1): 27–35Google Scholar
  39. Liu Zenghong, Xu Jianping, Sun Chaohui. 2007. Discussing on detecting and calibration method of Argo conductivity sensor drift errors. Ocean Technology (in Chinese), 26(4): 72–76Google Scholar
  40. Liu Zenghong, Xu Jianping, Sun Chaohui, et al. 2011. The characteristics of water mass distribution and its seasonal variation near the Luzon Strait. Journal of Tropical Oceanography (in Chinese), 30(1): 11–19Google Scholar
  41. Liu Zenghong, Xu Jianping, Sun Chaohui, et al. 2014. An upper ocean response to Typhoon Bolaven analyzed with Argo profiling floats. Acta Oceanologica Sinica, 33(11): 90–101CrossRefGoogle Scholar
  42. Liu Zenghong, Xu Jianping, Zhu Bokang, et al. 2006. Upper ocean response to tropical cyclones in northwestern Pacific during 2001–2004 by Argo data. Journal of Tropical Oceanography (in Chinese), 25(1): 1–8Google Scholar
  43. Lu Shaolei, Li Hong, Liu Zenghong. 2014. Improvement of Argo salinity data delayed-mode quality control method. Journal of PLA University of Science and Technology (Natural Science Edition) (in Chinese), 15(6): 598–606Google Scholar
  44. Lu Shaolei, Sun Chaohui, Liu Zenghong, et al. 2016. Comparative testing and data quality evaluation for COPEX, HM2000 and APEX profiling buoys. Journal of Ocean Technology (in Chinese), 35(1): 84–92Google Scholar
  45. Mao Qingwen, Chu Xiaoqing, Yan Youfang, et al. 2013. A three-dimensional temperature and salinity reconstruction system in the South China Sea. Journal of Tropical Oceanography (in Chinese), 32(6): 1–8Google Scholar
  46. Mercier H, Lherminier P, Sarafanov A, et al. 2015. Variability of the meridional overturning circulation at the Greenland-Portugal OVIDE section from 1993 to 2010. Progress in Oceanography, 132: 250–261CrossRefGoogle Scholar
  47. National Marine Data and Information Service. 2011. Argo Gridded Product User Manual (in Chinese). Tianjin: National Marine Data and Information ServiceGoogle Scholar
  48. Ollitrault M, de Verdière A C. 2014. The ocean general circulation near 1000-m depth. Journal of Physical Oceanography, 44(1): 384–409CrossRefGoogle Scholar
  49. Ollitrault M, Rannou J P. 2013. ANDRO: an Argo-based deep displacement dataset. Journal of Atmospheric and Oceanic Technology, 30(4): 759–788CrossRefGoogle Scholar
  50. Owens W B, Wong A P S. 2009. An improved calibration method for the drift of the conductivity sensor on autonomous CTD profiling floats by θ-S climatology. Deep Sea Research Part I: Oceanographic Research Papers, 56(3): 450–457CrossRefGoogle Scholar
  51. Pei Yuhua, Zhang Ronghua, Chen Dake. 2015. Upper ocean response to tropical cyclone wind forcing: a case study of typhoon Rammasun (2008). Science China Earth Sciences, 58(9): 1623–1632CrossRefGoogle Scholar
  52. Purkey S G, Johnson G C. 2010. Warming of global abyssal and deep Southern Ocean waters between the 1990s and 2000s: contributions to global heat and sea level rise budgets. Journal of Climate, 23(23): 6336–6351CrossRefGoogle Scholar
  53. Purkey S G, Johnson G C. 2013. Antarctic Bottom Water warming and freshening: contributions to sea level rise, ocean freshwater budgets, and global heat gain. Journal of Climate, 26(16): 6105–6122CrossRefGoogle Scholar
  54. Riser S C, Freeland H J, Roemmich D, et al. 2016. Fifteen years of ocean observations with the global Argo array. Nature Climate Change, 6(2): 145–153CrossRefGoogle Scholar
  55. Song Xiangzhou, Lin Xiaopei, Padmore M R, et al. 2009. Spacial structure and annual variation estimated from Argo float data for Subtropical Mode Water in the Northwest Pacific Ocean. Advances in Marine Science (in Chinese), 27(1): 1–10Google Scholar
  56. Sun Liang, Li Yingxin, Yang Yuanjian, et al. 2014. Effects of super typhoons on cyclonic ocean eddies in the Western North Pacific: a satellite data-based evaluation between 2000 and 2008. Journal of Geophysical Research, 119(9): 5585–5598Google Scholar
  57. Sun Chaohui, Xu Jianping, Liu Zenghong, et al. 2008. Application of Argo data in the analysis of water masses in the northwest Pacific ocean. Marine Science Bulletin, 10(2): 1–13Google Scholar
  58. Thierry C, Robert K, Yasushi T, et al. 2015. Argo User’S Manual V3.2. Scholar
  59. Tong Mingrong, Xu Jianping, Ma Jirui, et al. 2004. Probing into the conductivity sensor drift problem of the ARGO profiling float. Ocean Technology (in Chinese), 23(3): 105–116, 124Google Scholar
  60. Wang Guihua, Liu Zenghong, Xu Jianping. 2006. Three dimensional Pacific temperature, salinity and circulation reconstructions with Argo data. In: Xu Jianping, eds. A Collection of Research Articles on Argo Application (in Chinese). Beijing: China Ocean Press, 16–26Google Scholar
  61. Wang Xidong, Wang Chunzai, Han Guijun, et al. 2014. Effects of tropical cyclones on large-scale circulation and ocean heat transport in the South China Sea. Climate Dynamics, 43(12): 3351–3366CrossRefGoogle Scholar
  62. Wang Huizan, Wang Guihua, Zhang Ren, et al. 2010. Argo Gridded Salinity Product (G-Argo) User Manual (in Chinese). Hangzhou: China Argo Real-time Data CenterGoogle Scholar
  63. Wang Guihua, Wu Lingwei, Johnson N C, et al. 2016. Observed threedimensional structure of ocean cooling induced by Pacific tropical cyclones. Geophysical Research Letters, 43(14): 7632–7638CrossRefGoogle Scholar
  64. Wang Jin, Zhang Jie, Wang Jing. 2015. Quality assessment of spaceborne microwave radiometer Aquarius data product based on Argo buoy data. Haiyang Xuebao (in Chinese), 37(3): 46–53Google Scholar
  65. Wong A P S, Johnson G C, Owens W B. 2003. Delayed-mode calibration of autonomous CTD profiling float salinity data by θ-S climatology. Journal of Atmospheric and Oceanic Technology, 20: 308–318CrossRefGoogle Scholar
  66. Wong A, Keeley R, Carval T, et al. 2014. Argo Quality Control Manual. [2016–12-29/2016–10-22]Google Scholar
  67. Wu Lixin, Jing Zhao, Riser S, et al. 2011a. Seasonal and spatial variations of Southern Ocean diapycnal mixing from Argo profiling floats. Nature Geoscience, 4(6): 363–366CrossRefGoogle Scholar
  68. Wu Tongwen, Song Lianchun, Liu Xiangwen, et al. 2013. Progress in developing the short-range operational climate prediction system of China national climate center. Journal of Applied Meteorological Science (in Chinese), 24(5): 533–543Google Scholar
  69. Wu Xiaofen, Xu Jianping, Zhang Qilong, et al. 2011b. CSEOF analysis of the upper ocean heat content over tropical western Pacific. Journal of Tropical Oceanography (in Chinese), 30(6): 37–46Google Scholar
  70. Wu Xiaofen, Zhang Qilong, Liu Zenghong. 2014. Annual and interannual variations of the Western Pacific Warm Pool volume and sources of warm water revealed by Argo data. Science China Earth Sciences, 57(9): 2269–2280CrossRefGoogle Scholar
  71. Xie Jiping, Zhu Jiang. 2008. Estimation of the surface and mid-depth currents from Argo floats in the Pacific and error analysis. Journal of Marine Systems, 73(1–2): 61–75CrossRefGoogle Scholar
  72. Xie Jiping, Zhu Jiang. 2009. A dataset of global ocean surface currents for 1999–2007 derived from Argo float trajectories: a comparison with surface drifter and TAO measurements. Atmospheric and Oceanic Science Letters, 2(2): 97–102CrossRefGoogle Scholar
  73. Xie Jiping, Zhu Jiang, Xu Li, et al. 2005. Evaluation of mid-depth currents of NCEP reanalysis data in the tropical Pacific using Argo float position information. Advances in Atmospheric Sciences, 22(5): 677–684CrossRefGoogle Scholar
  74. Xu Jianping. 2002. A Exploration of Global Ocean Argo Observing (in Chinese). Beijing: China Ocean PressGoogle Scholar
  75. Xu Jianping. 2006. Collection of Argo Application Papers (in Chinese). Beijing: China Ocean Press, 240Google Scholar
  76. Xu Jianping. 2010. Collection of Papers on the Observation and Application of Argo Profilling Floats in the West Pacific Ocean (in Chinese). Beijing: China Ocean Press, 344Google Scholar
  77. Xu Jianping. 2014. A Collection of Research Articles of Argo Science Workshop (in Chinese). Beijing: China Ocean Press, 368Google Scholar
  78. Xu Lixiao, Li Peiliang, Xie Shangping, et al. 2016. Observing mesoscale eddy effects on mode-water subduction and transport in the North Pacific. Nature Communications, 7: 10505, doi: 10.1038/ncomms10505CrossRefGoogle Scholar
  79. Xu Jianping, Liu Zenghong. 2007. Experiment of Chinese Argo Ocean Observing Array (in Chinese). Beijing: China Meteorological Press, 158Google Scholar
  80. Xu Dongfeng, Liu Zenghong, Xu Xiaohua, et al. 2005. The influence of typhoon on the sea surface salinity in the Warm Pool of the western Pacific. Haiyang Xuebao (in Chinese), 27(6): 9–15Google Scholar
  81. Yan Yunwei, Wang Guihua, Wang Chunzai, et al. 2015. Low-salinity water off west Luzon island in Summer. Journal of Geophysical Research, 120(4): 3011–3021Google Scholar
  82. Yang Tingting, Chen Zhongbiao, He Yijun. 2015a. A new method to retrieve salinity profiles from sea surface salinity observed by SMOS satellite. Acta Oceanologica Sinica, 34(9): 85–93CrossRefGoogle Scholar
  83. Yang Shenglong, Jin Shaofei, Hua Chengjun, et al. 2015b. Spatialtemporal distribution of bigeye tuna Thunnus obesus in the tropical Atlantic Ocean based on Argo data. Chinese Journal of Applied Ecology (in Chinese), 26(2): 601–608Google Scholar
  84. Yang Shenglong, Ma Junjie, Wu Yumei, et al. 2008. Study on the reconstruction of Pacific temperature arena with Argo data based on the Kriging methods. Marine Fisheries (in Chinese), 30(1): 13–18Google Scholar
  85. Yang Tingting, Xu Yongsheng. 2015. Estimation of the time series of the meridional heat transport across 15°N in the Pacific ocean from Argo and satellite data. Journal of Geophysical Research, 120(4): 3043–3060Google Scholar
  86. Yang Guang, Yu Weidong, Yuan Yeli, et al. 2015c. Characteristics, vertical structures, and heat/salt transports of mesoscale eddies in the southeastern tropical Indian ocean. Journal of Geophysical Research, 120(10): 6733–6750Google Scholar
  87. Yi Shuang, Sun Wenke, Heki K, et al. 2015. An increase in the rate of global mean sea level rise since 2010. Geophysical Research Letters, 42(11): 3998–4006CrossRefGoogle Scholar
  88. Yu Lizhong, Shang Hongmei, Zhang Shaoyong. 2001. Elementary introduction of Argo buoy technological study. Ocean Technology (in Chinese), 20(3): 34–40Google Scholar
  89. Yuan Dongliang, Zhang Zhichun, Chu C P, et al. 2014. Geostrophic circulation in the tropical North Pacific Ocean based on Argo profiles. Journal of Physical Oceanography, 44(2): 558–575CrossRefGoogle Scholar
  90. Zhang Chuan, Hu Bo, Wang Cong, et al. 2011. Comparative study of Argo floats on sea trial. Ocean Technology (in Chinese), 30(2): 94–98Google Scholar
  91. Zhang Ren, Huang Zhisong, Liu Wei, et al. 2012. Diagnostic calculation of three dimensions sea currents in the Pacific based on ARGO buoyage observational data. Chinese Journal of Hydrodynamics (in Chinese), 27(3): 256–263Google Scholar
  92. Zhang Shaoyong, Lin Yuchi. 2005. Brief introduction to calibrating the profiling depth of the COPEX. Ocean Technology (in Chinese), 24(3): 41–45Google Scholar
  93. Zhang Renhe, Liu Yinmin, Yin Yonghong, et al. 2004. Utilizing Argo data to improve the ocean data assimilation and the relative physical processes in ZC ocean model. Acta Meteorologica Sinica (in Chinese), 62(5): 613–622Google Scholar
  94. Zhang Zhengguang, Wang Wei, Qiu Bo. 2014. Oceanic mass transport by mesoscale eddies. Science, 345(6194): 322–324CrossRefGoogle Scholar
  95. Zhang Chunling, Xu Jianping. 2014. T/S distribution and variation in the Pacific based on Argo observations: Part I. temperature. Marine Science Bulletin (in Chinese), 33(6): 647–658Google Scholar
  96. Zhang Chunling, Xu Jianping. 2015. T/S distribution and variation in the Pacific based on Argo observations: Part II. salinity. Marine Science Bulletin (in Chinese), 34(1): 21–31Google Scholar
  97. Zhang Chunling, Xu Jianping Liu Zenghong, et al. 2013a. User Manual of Argo Three-Dimensional Grid Data (GDCSM_Argo) (in Chinese). Hangzhou: China Argo Real-time Data CenterGoogle Scholar
  98. Zhang Renhe, Yin Yonghong, Li Qingquan, et al. 2006. Utilizing Argo data to improve the prediction of ENSO and short-term climate prediction of summer rainfall in China. Journal of Applied Meteorological Science (in Chinese), 17(5): 538–547Google Scholar
  99. Zhang Weitao, Zhang Ren, An Yuzhu, et al. 2013b. Diagnostic calculation of three dimensions sea flow in the Pacific by P vector method on isopycnal surface. Chinese Journal of Hydrodynamics (in Chinese), 28(1): 72–80Google Scholar
  100. Zhang Xu, Zhang Yonggang, Zhang Jianxue, et al. 2010. EOF analysis of sound speed profiles in sea area east of Taiwan. Advances in Marine Science (in Chinese), 28(4): 498–506Google Scholar
  101. Zhang Xu, Zhang Yonggang, Zhang Shengjun, et al. 2009. Distribution and seasonal variability of sound speed profile in the Philippine Sea. Journal of Tropical Oceanography (in Chinese), 28(6): 23–34Google Scholar
  102. Zhang Renhe, Zhu Jiang, Xu Jianping, et al. 2013c. Argo global ocean data assimilation and its applications in short-term climate prediction and oceanic analysis. Chinese Journal of Atmospheric Sciences (in Chinese), 37(2): 411–424Google Scholar
  103. Zhao Xin, Li Hong, Liu Zenghong, et al. 2016. Argo surface temperature and salinity estimation by the mixed layer model. Marine Science Bulletin (in Chinese), 35(5): 532–544Google Scholar
  104. Zheng Fei, Wang Hui, Wan Liying. 2015. Effects of interannual salinity variability on the dynamic height in the western equatorial Pacific as diagnosed by Argo. Acta Oceanologica Sinica, 34(5): 22–28CrossRefGoogle Scholar
  105. Zheng Fei, Zhang Ronghua. 2015. Interannually varying salinity effects on ENSO in the tropical Pacific: a diagnostic analysis from Argo. Ocean Dynamics, 65(5): 691–705CrossRefGoogle Scholar
  106. Zheng Fei, Zhang Ronghua, Zhu Jiang. 2014. Effects of interannual salinity variability on the barrier layer in the western-central equatorial Pacific: a diagnostic analysis from Argo. Advances in Atmospheric Sciences, 31(3): 532–542CrossRefGoogle Scholar
  107. Zhou Wei, Chen Mengyan, Zhuang Wei, et al. 2016. Evaluation of the tropical variability from the Beijing Climate Center’s real-time operational Global Ocean Data Assimilation System. Advances in Atmospheric Sciences, 33(2): 208–220CrossRefGoogle Scholar
  108. Zhou Hui, Xu Jianping, Guo Peifang, et al. 2006. A study on an anticyclonic eddy east of Mindanao observed by an Argo profiling float. Journal of Tropical Oceanography (in Chinese), 25(6): 8–14Google Scholar
  109. Zhou Hui, Yuan Dongliang, Guo Peifang, et al. 2010. Meso-scale circulation at the intermediate-depth east of Mindanao observed by Argo profiling floats. Science China Earth Sciences, 53(3): 432–440CrossRefGoogle Scholar
  110. Zhu Jiang, Zhou Guangqing, Yan Changxiang, et al. 2006. A three-dimensional variational ocean data assimilation system: scheme and preliminary results. Science in China Series D: Earth Sciences, 49(11): 1212–1222CrossRefGoogle Scholar

Copyright information

© The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Zenghong Liu
    • 1
  • Xiaofen Wu
    • 1
  • Jianping Xu
    • 1
  • Hong Li
    • 2
  • Shaolei Lu
    • 1
  • Chaohui Sun
    • 1
  • Minjie Cao
    • 1
  1. 1.State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of OceanographyState Oceanic AdministrationHangzhouChina
  2. 2.Zhejiang Institute of Hydraulics and EstuaryHangzhou310020China

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