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Study on applicability of GOCI inversion and OSU model sea surface currents field data in the Yellow Sea tidal wave system
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He Cui1, 2, Jianyu Chen1, 2, *, Zhenyi Cao2, Weibing Guan2, Qiankun Zhu2, Fang Gong2
Haiyang Xuebao | 2022, 44(7) : 1 - 16
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Haiyang Xuebao | 2022, 44(7): 1-16
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Study on applicability of GOCI inversion and OSU model sea surface currents field data in the Yellow Sea tidal wave system
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He Cui1, 2, Jianyu Chen1, 2, *, Zhenyi Cao2, Weibing Guan2, Qiankun Zhu2, Fang Gong2
Affiliations
  • 1. Ocean College, Zhejiang University, Zhoushan 316021, China
  • 2. Second Institute of Oceanology, Ministry of Natural Resources, Hangzhou 310012, China
Published: 2022-07-01 doi: 10.12284/hyxb2022108
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The Yellow Sea presents unique topographic conditions, and the tidal wave movement in this area has unique characteristics. In this paper, Geostationary Ocean Color Imager (GOCI) inversion and Oregon State University (OSU) tidal current model are used to obtain the sea surface currents field in the Yellow Sea. Based on the unique tidal wave system in the sea area, the tidal wave interference area is proposed and identified, and then the currents field of GOCI inversion is extracted. And partition of two kinds of trend data usability evaluation, through the validation of the drifting buoy data evaluation. The results show that the sea surface currents field obtained by GOCI inversion and OSU tidal current model has a certain degree of reliability. The AME value of sea surface currents field velocity obtained by GOCI inversion is 0.77, and that obtained by OSU tidal model is 0.49. On the whole, the currents field data obtained by GOCI inversion and OSU tide model are reliable to a certain extent. In the central area of the Yellow Sea near the tidal wave interference area, the consistency between GOCI tidal currents data and OSU tidal currents data is better than that of OSU tidal currents data, and their AAE values are 48.45° and 63.10°, respectively. In the coastal area of the Yellow Sea far from the tidal wave interference area, the consistency between the OSU tidal currents data and the measured data is better than that of the GOCI tidal currents data in terms of velocity magnitude and direction.

Geostationary Ocean Color Imager (GOCI)  /  Oregon State University tide current model  /  Yellow Sea flow field inversion  /  rotating tidal wave system  /  maximum correlation coefficient method
He Cui, Jianyu Chen, Zhenyi Cao, Weibing Guan, Qiankun Zhu, Fang Gong. Study on applicability of GOCI inversion and OSU model sea surface currents field data in the Yellow Sea tidal wave system[J]. Haiyang Xuebao, 2022 , 44 (7) : 1 -16 . DOI: 10.12284/hyxb2022108
Year 2022 volume 44 Issue 7
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doi: 10.12284/hyxb2022108
  • Receive Date:2021-12-20
  • Online Date:2026-02-01
  • Published:2022-07-01
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  • Received:2021-12-20
  • Revised:2022-01-11
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    1. Ocean College, Zhejiang University, Zhoushan 316021, China
    2. Second Institute of Oceanology, Ministry of Natural Resources, Hangzhou 310012, 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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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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