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Application of eSQG method in vertical velocity diagnosis in the South China Sea
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Jiahui Huang1, 2, Lingling Xie1, 2, 3, *, Qiang Li1, 2, 3, Min Li1, 2, 3
Haiyang Xuebao | 2022, 44(12) : 55 - 69
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Haiyang Xuebao | 2022, 44(12): 55-69
Article
Application of eSQG method in vertical velocity diagnosis in the South China Sea
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Jiahui Huang1, 2, Lingling Xie1, 2, 3, *, Qiang Li1, 2, 3, Min Li1, 2, 3
Affiliations
  • 1. Laboratory of Coastal Ocean Variation and Disaster Prediction, College of Oceanology and Meteorology, Guangdong Ocean University, Zhangjiang 524088, China
  • 2. Guangdong Key Laboratory of Climate, Resource and Environment in Continental Shelf Sea and Deep Ocean, Zhanjiang 524088, China
  • 3. Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China
Published: 2022-12-01 doi: 10.12284/hyxb2022153
Outline
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Using 0.1°×0.1° high-resolution temperature, salinity, velocity and sea surface height (SSH) data from the ocean general circulation model for the earth simulator (OFES) model, this study analyzes the capability and applicability of the eSQG (effective Surface Quasi-Geostrophy) method in vertical velocity diagnosis in the South China Sea (SCS), as well as the spatiotemporal variation of vertical velocities. The diagnosed vertical velocities ωeSQG from SSH with the eSQG method are of the same order of 10−5 m/s as the “true” vertical velocities ωOFES from the OFES model. ωeSQG shows spatial variations with higher values in northern basin. The correlation coefficients of the horizontal distribution of ωeSQG and ωOFES (rs) are greater in deep basin than that in the whole SCS, suggesting that the eSQG method is more efficient in vertical velocity diagnosis in deep water far from boundaries. Vertically, the correlation coefficient has maximum values occurring in the subsurface layer at about 150 m. ωeSQG is stronger in summer and rs show seasonal variation with higher values in winter, indicating more efficient in eSQG diagnosis in winter. ωeSQG is reliable in the regions southwest of Taiwan and east of Vietnam, where the temporal correlation coefficients of ωeSQG and ωOFES (rt) exceed 0.6, while ωeSQG is poorly correlated to ωOFES in the shelf regions in the southern and northwestern SCS with rt mostly under 0.2. rs in the same region is varying at periods of about 18−55 d. ωeSQG performs better as the distributions of the SSH and the sea surface density are in same phase. ωeSQG varies little as the temporal resolution of SSH varies, while rs increases as spatial resolution reduced to 0.25° in mesoscales.

vertical velocity  /  eSQG  /  spatio-temporal variation  /  South China Sea  /  OFES
Jiahui Huang, Lingling Xie, Qiang Li, Min Li. Application of eSQG method in vertical velocity diagnosis in the South China Sea[J]. Haiyang Xuebao, 2022 , 44 (12) : 55 -69 . DOI: 10.12284/hyxb2022153
Year 2022 volume 44 Issue 12
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Article Info
doi: 10.12284/hyxb2022153
  • Receive Date:2022-05-03
  • Online Date:2026-02-01
  • Published:2022-12-01
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  • Received:2022-05-03
  • Revised:2022-07-03
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Affiliations
    1. Laboratory of Coastal Ocean Variation and Disaster Prediction, College of Oceanology and Meteorology, Guangdong Ocean University, Zhangjiang 524088, China
    2. Guangdong Key Laboratory of Climate, Resource and Environment in Continental Shelf Sea and Deep Ocean, Zhanjiang 524088, China
    3. Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China
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表12种不同金属材料的力学参数

Family
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Number of
genus
种数
Number of
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种数
Number of
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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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