Articles | Volume 16, issue 11
https://doi.org/10.5194/essd-16-5131-2024
https://doi.org/10.5194/essd-16-5131-2024
Data description paper
 | 
06 Nov 2024
Data description paper |  | 06 Nov 2024

Constructing a 22-year internal wave dataset for the northern South China Sea: spatiotemporal analysis using MODIS imagery and deep learning

Xudong Zhang and Xiaofeng Li

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Cited articles

Alpers, W.: Theory of radar imaging of internal waves, Nature, 314, 245–247, 1985. 
Bai, X., Liu, Z., Li, X., and Hu, J.: Generation sites of internal solitary waves in the southern Taiwan Strait revealed by MODIS true-colour image observations, Int. J. Remote Sens., 35, 4086–4098, https://doi.org/10.1080/01431161.2014.916453, 2014. 
Bai, X., Li, X., Lamb, K. G., and Hu, J.: Internal Solitary Wave Reflection Near Dongsha Atoll, the South China Sea, J. Geophys. Res.-Oceans, 122, 7978–7991, https://doi.org/10.1002/2017jc012880, 2017. 
Bao, S., Meng, J., Sun, L., and Liu, Y.: Detection of ocean internal waves based on Faster R-CNN in SAR images, J. Oceanol. Limnol., 38, 55–63, https://doi.org/10.1007/s00343-019-9028-6, 2019. 
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Short summary
Internal wave (IW) is an important ocean process and is frequently observed in the South China Sea (SCS). This study presents a detailed IW dataset for the northern SCS spanning from 2000 to 2022, with a spatial resolution of 250 m, comprising 3085 IW MODIS images. This dataset can enhance understanding of IW dynamics and serve as a valuable resource for studying ocean dynamics, validating numerical models, and advancing AI-driven model building, fostering further exploration into IW phenomena.
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