State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
Di Tian
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
Min He
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
Qi Li
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
Guofei Wei
Key Laboratory of Straits Severe Weather China Meteorological Administration, Fuzhou 350028, China
Fujian Meteorological Observatory, Fuzhou 350028, China
Jian Liu
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
School of Geography and Ocean Science, Ministry of Education Key Laboratory for Coast and Island Development, Nanjing University, Nanjing 210023, China
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Total article views: 1,849 (including HTML, PDF, and XML)
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426
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BibTeX: 66
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635
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Viewed (geographical distribution)
Total article views: 2,990 (including HTML, PDF, and XML)
Thereof 2,908 with geography defined
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Total article views: 1,849 (including HTML, PDF, and XML)
Thereof 1,807 with geography defined
and 42 with unknown origin.
Total article views: 1,141 (including HTML, PDF, and XML)
Thereof 1,101 with geography defined
and 40 with unknown origin.
This paper provides a cross-shaped moored array dataset (MASCS 1.0) of observations that consist of five buoys and four moorings in the northern South China Sea from 2014 to 2015. The moored array is influenced by atmospheric forcings such as tropical cyclones and monsoon as well as oceanic tides and flows. The data reveal variations of the air–sea interface and the ocean itself, which are valuable for studies of air–sea interactions and ocean dynamics in the northern South China Sea.
This paper provides a cross-shaped moored array dataset (MASCS 1.0) of observations that consist...