Advances in Earth Science ›› 2022, Vol. 37 ›› Issue (8): 822-840. doi: 10.11867/j.issn.1001-8166.2022.044

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Research Progress of Global Gridded Ocean Environment Datasets

Haodi WANG( ), Shiyao CHEN, Senliang BAO, Kaijun REN( )   

  1. College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China
  • Received:2022-05-05 Revised:2022-07-15 Online:2022-08-10 Published:2022-09-13
  • Contact: Kaijun REN E-mail:wanghaodi@nudt.edu.cn;renkaijun@nudt.edu.cn
  • About author:WANG Haodi (1998-), male, Yantai City, Shandong Province, Master student. Research area includes numerical simulation of ocean circulation. E-mail: wanghaodi@nudt.edu.cn
  • Supported by:
    the National Key Research and Development Program of China “High-performance computing servitizing architecture in multi-domain environment”(2018YFB0203801);The National Natural Science Foundation of China “Research on optimization execution method of large-scale scientific workflow in IaaS cloud environment”(61572510)

Haodi WANG, Shiyao CHEN, Senliang BAO, Kaijun REN. Research Progress of Global Gridded Ocean Environment Datasets[J]. Advances in Earth Science, 2022, 37(8): 822-840.

Marine science is a discipline developed on the basis of continuous observation data accumulation, and major breakthroughs in marine science development history are inseparable from the updating of ocean datasets. The time extension of existing gridded datasets has become the main form of updating ocean data products. This review summarizes the current development of gridded marine environment datasets. First, the historical development of ocean observations is divided into three stages: an initial accumulation period dominated by sparse observations, a rapid growth period guided by international observation programs, and a high-quality development period driven by data assimilation and ocean reanalysis. Starting from the three key elements of temperature, salinity, and ocean current, we focus on the global gridded ocean environment datasets published and updated internationally in recent decades, including six flow field datasets, such as HYCOM and OFES, and ten thermohaline datasets, such as Argo and IAP. Based on previous studies, the sources, characteristic information, advantages, and disadvantages of these datasets are briefly reviewed to provide a reference for marine scientists. Finally, the future development direction and research focus of ocean gridded datasets are discussed.

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