The distribution, sources, and propagation of internal waves in South China Sea based on satellite remote sensing

Juan Wang; Weigen Huang; Jingsong Yang; Huaguo Zhang; Yufang Pan

doi:10.1117/12.902045

23 November 2011 The distribution, sources, and propagation of internal waves in South China Sea based on satellite remote sensing

Juan Wang, Weigen Huang, Jingsong Yang, Huaguo Zhang, Yufang Pan

Author Affiliations +

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80062E (2011) https://doi.org/10.1117/12.902045
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

In this paper, more than 1000 SAR (ENVISAT, ERS-2) and optical (MODIS, HJ-1A/1B) images are used to analyze the distribution, sources and propagation of internal waves in South China Sea. The distribution of internal waves shows that, internal waves mainly occur in three regions of South China Sea: 1) Northern South China Sea, 2) Western South China Sea, 3) Southern South China Sea. Internal waves are observed all year in the South China Sea, most during summer, least in winter. The sources and propagation of internal waves are obtained from the distribution of internal waves. 1) in Northern South China Sea, most internal waves origin in Luzon Strait and propagate westward across Dongsha Island, then some internal waves turn into northwestward, others continue to propagate westward.2) in Western South China Sea, internal waves generate at the shelf, and propagate to the shore or off the shore.3) in Southern South China Sea, internal waves generate at the shelf. Some internal waves propagate to the Kalimantan shore, some propagate southwestward.

Citation Download Citation

Juan Wang, Weigen Huang, Jingsong Yang, Huaguo Zhang, and Yufang Pan "The distribution, sources, and propagation of internal waves in South China Sea based on satellite remote sensing", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80062E (23 November 2011); https://doi.org/10.1117/12.902045

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