Spatial-temporal analysis of sea level changes in China seas and neighboring oceans by merged altimeter data

International Conference on Energy Engineering and Environmental Protection 2016

能源学;生态环境科学

Xu, Yao^1 ; Zhou, Bin^1 ; Yu, Zhifeng^1 ; Lei, Hui^1 ; Sun, Jiamin^1 ; Zhu, Xingrui^1 ; Liu, Congjin^2

Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou, Zhejiang

311121, China^1

Hangzhou Institute of Service Engineering, Hangzhou Normal University, Hangzhou, Zhejiang

311121, China^2

关键词: Coefficient of variability;    Large-scale dynamics;    Satellite altimeter;    Scientific development;    Sea level anomaly;    Seasonal variability;    Spatial temporal analysis;    Spatial temporals;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/52/1/012065/pdf
DOI  :  10.1088/1742-6596/52/1/012065

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The knowledge of sea level changes is critical important for social, economic and scientific development in coastal areas. Satellite altimeter makes it possible to observe long term and large scale dynamic changes in the ocean, contiguous shelf seas and coastal zone. In this paper, 1993-2015 altimeter data of Topex/Poseidon and its follow-on missions is used to get a time serious of continuous and homogeneous sea level anomaly gridding product. The sea level rising rate is 0.39 cm/yr in China Seas and the neighboring oceans, 0.37 cm/yr in the Bo and Yellow Sea, 0.29 cm/yr in the East China Sea and 0.40 cm/yr in the South China Sea. The mean sea level and its rising rate are spatial-temporal non-homogeneous. The mean sea level shows opposite characteristics in coastal seas versus open oceans. The Bo and Yellow Sea has the most significant seasonal variability. The results are consistent with in situ data observation by the Nation Ocean Agency of China. The coefficient of variability model is introduced to describe the spatial-temporal variability. Results show that the variability in coastal seas is stronger than that in open oceans, especially the seas off the entrance area of the river, indicating that the validation of altimeter data is less reasonable in these seas.