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3D structure and seasonal variation of temperature fronts in the shelf sea west of Guangdong
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Keyi Tan1, 2, Lingling Xie1, 2, 3, Mingming Li1, 2, 3, *, Min Li1, 2, 3, Junyi Li1, 2, 3
Haiyang Xuebao | 2023, 45(10) : 42 - 55
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Haiyang Xuebao | 2023, 45(10): 42-55
Article
3D structure and seasonal variation of temperature fronts in the shelf sea west of Guangdong
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Keyi Tan1, 2, Lingling Xie1, 2, 3, Mingming Li1, 2, 3, *, Min Li1, 2, 3, Junyi Li1, 2, 3
Affiliations
  • 1Laboratory of Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
  • 2Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Ocean, Zhanjiang 524088, China
  • 3Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China
Published: 2023-10-01 doi: 10.12284/hyxb2023053
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Using reanalysis sea surface data and in-situ high-resolution observations in spring, summer 2018, and summer 2019, this study analyzes the 3D structure and seasonal variation of temperature fronts in the shelf sea west of Guangdong. The results show that the sea surface temperature (SST) fronts reach the strongest intensity up to 0.049°C/km in winter, with the largest occurrence probability of 75% and coverage of 66 km. The SST fronts weaken in spring and summer, and almost disappear in autumn. The average offshore distance of the front is 50 km in winter and 23.1 km in summer. The in-situ observations show a strong thermal front in coastal areas shallower than 20 m in both spring and summer. The front gets weaker and closer to the coast in deeper layers and is associated with warm coastal water and cold shelf water. In shelf areas deeper than 20 m, the fronts in the subsurface layer are stronger than in the surface layer and shift shoreward in deeper layers. The correlation coefficient and information flow between the surface wind and frontal parameters reveal that the surface wind stress curl and along-coast wind are the most important factors affecting the surface thermal front. These thermal fronts also have interannual variations, with maximum intensity in La Niña years with negative PDO and minimum intensity in El Niño years with positive PDO.

ocean front  /  seasonal variation  /  3D structure  /  information flow  /  shelf west of Guangdong
Keyi Tan, Lingling Xie, Mingming Li, Min Li, Junyi Li. 3D structure and seasonal variation of temperature fronts in the shelf sea west of Guangdong[J]. Haiyang Xuebao, 2023 , 45 (10) : 42 -55 . DOI: 10.12284/hyxb2023053
Year 2023 volume 45 Issue 10
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Article Info
doi: 10.12284/hyxb2023053
  • Receive Date:2022-09-29
  • Online Date:2025-12-28
  • Published:2023-10-01
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History
  • Received:2022-09-29
  • Revised:2022-12-20
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Affiliations
    1Laboratory of Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
    2Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Ocean, Zhanjiang 524088, China
    3Key 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
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
species (%)
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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