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An automatic recognition algorithm of global mesoscale dipole based on eddy tracking data
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Fenglin Tian1, 2, 3, Zhonghao Yuan1, Wei Liu4, Lingqi Cheng1, Ge Chen1, 2, *
Haiyang Xuebao | 2021, 43(1) : 122 - 136
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Haiyang Xuebao | 2021, 43(1): 122-136
Article
An automatic recognition algorithm of global mesoscale dipole based on eddy tracking data
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Fenglin Tian1, 2, 3, Zhonghao Yuan1, Wei Liu4, Lingqi Cheng1, Ge Chen1, 2, *
Affiliations
  • 1School of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
  • 2Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
  • 3Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China
  • 4Qingdao Institute of Measurement Technology, Qingdao 266100, China
Published: 2021-01-25 doi: 10.12284/hyxb2021015
Outline
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It is a common ocean phenomenon that eddies attract each other and propagate in the form of dipole mode, and these dipoles play an important role in transporting seawater, nutrients and other substances. In this paper, a global dipole pair automatic recognition method based on the eddy trajectory data is proposed. By using the K–D tree for cutting space, the eddy trajectory data are calculated from January 1993 to September 2016, and a total of 86 662 westward moving dipoles and 30 590 eastward moving dipoles with a life cycle of more than 60 days are found. The global characteristics of the dipole that we detected are analyzed, and the reliability of the automatic recognition algorithm is verified by the comparison and test with sea surface temperature anomaly and sea surface salinity anomaly. Finally in this paper, the transmission modes and characteristics of dipoles are analyzed, including the characteristics of long life, high propagation speed and entanglement trajectory.

dipole  /  K–D tree  /  eddy tracking  /  eddy recognition
Fenglin Tian, Zhonghao Yuan, Wei Liu, Lingqi Cheng, Ge Chen. An automatic recognition algorithm of global mesoscale dipole based on eddy tracking data[J]. Haiyang Xuebao, 2021 , 43 (1) : 122 -136 . DOI: 10.12284/hyxb2021015
Year 2021 volume 43 Issue 1
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Article Info
doi: 10.12284/hyxb2021015
  • Receive Date:2020-03-16
  • Online Date:2026-02-26
  • Published:2021-01-25
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History
  • Received:2020-03-16
  • Revised:2020-05-12
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Affiliations
    1School of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
    2Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
    3Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China
    4Qingdao Institute of Measurement Technology, Qingdao 266100, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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