Application of deep learning technique to the sea surface height prediction in the South China Sea

2021 ◽  
Vol 40 (7) ◽  
pp. 68-76
Author(s):  
Tao Song ◽  
Ningsheng Han ◽  
Yuhang Zhu ◽  
Zhongwei Li ◽  
Yineng Li ◽  
...  
Keyword(s):  
Deep Learning ◽  
South China Sea ◽  
South China ◽  
Sea Surface Height ◽  
The South China Sea ◽  
Sea Surface ◽  
The South ◽  
China Sea ◽  
Learning Technique ◽  
Height Prediction

Variability of sea surface height in the South China Sea and its relationship to Pacific oscillations

2015 ◽  
Vol 34 (12) ◽  
pp. 80-92 ◽  
Author(s):  
Yuhua Pei ◽  
Rong-Hua Zhang ◽  
Xiangming Zhang ◽  
Lianghong Jiang ◽  
Yanzhou Wei
Keyword(s):  
South China Sea ◽  
South China ◽  
Sea Surface Height ◽  
The South China Sea ◽  
Sea Surface ◽  
The South ◽  
China Sea

scholarly journals Intraseasonal variability in sea surface height over the South China Sea

2010 ◽  
Vol 115 (C4) ◽  
Author(s):  
Wei Zhuang ◽  
Shang-Ping Xie ◽  
Dongxiao Wang ◽  
Bunmei Taguchi ◽  
Hidenori Aiki ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Intraseasonal Variability ◽  
Sea Surface Height ◽  
The South China Sea ◽  
Sea Surface ◽  
The South ◽  
China Sea

Seasonal variability of sea surface height in the South China Sea observed with TOPEX/Poseidon altimeter data

2000 ◽  
Vol 105 (C6) ◽  
pp. 13981-13990 ◽  
Author(s):  
Chung-Ru Ho ◽  
Quanan Zheng ◽  
Yin S. Soong ◽  
Nan-Jung Kuo ◽  
Jian-Hua Hu
Keyword(s):  
South China Sea ◽  
South China ◽  
Seasonal Variability ◽  
Sea Surface Height ◽  
The South China Sea ◽  
Sea Surface ◽  
Altimeter Data ◽  
The South ◽  
China Sea

scholarly journals Purpleback Flying Squid Sthenoteuthis oualaniensis in the South China Sea: Growth, Resources and Association with the Environment

Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 65
Author(s):  
Chunxu Zhao ◽  
Chunyan Shen ◽  
Andrew Bakun ◽  
Yunrong Yan ◽  
Bin Kang
Keyword(s):  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
Biological Characteristics ◽  
Trophic Levels ◽  
Sea Surface ◽  
Height Anomaly ◽  
The South ◽  
China Sea ◽  
Sthenoteuthis Oualaniensis

The purpleback flying squid (Ommastrephidae: Sthenoteuthis oualaniensis) is an important species at higher trophic levels of the regional marine ecosystem in the South China Sea (SCS), where it is considered to show the potential for fishery development. Accordingly, under increasing climatic and environmental changes, understanding the nature and importance of various factors that determine the spatial and temporal distribution and abundance of S. oualaniensis in the SCS is of great scientific and socio-economic interest. Using generalized additive model (GAM) methods, we analyzed the relationship between available environmental factors and catch per unit effort (CPUE) data of S. oualaniensis. The body size of S. oualaniensis in the SCS was relatively small (<19.4 cm), with a shorter lifespan than individuals in other seas. The biological characteristics indicate that S. oualaniensis in the SCS showed a positive allometric growth, and could be suitably described by the logistic growth equation. In our study, the sea areas with higher CPUE were mainly distributed at 10°–11° N, with a 27–28 °C sea surface temperature (SST) range, a sea surface height anomaly (SSHA) of −0.05–0.05 m, and chlorophyll-a concentration (Chl-a) higher than 0.18 μg/L. The SST was the most important factor in the GAM analysis and the best fitting GAM model explained 67.9% of the variance. Understanding the biological characteristics and habitat status of S. oualaniensis in the SCS will benefit the management of this resource.

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