Multi-Dimensional Analysis on the Temporal and Spatial Variability of Sea Surface Salinity in South China Sea

Abstract

Sea surface salinity (SSS) is an important parameter of the physical marine environment and its variation has significant effects on the hydrodynamic environment in the South China Sea. With the developing of sea surface salinity retrieval technology based on SMOS data, intuitive SSS could be obtained. Study on the SSS could help better understand the role of salinity in ocean circulation and the global water cycle. In this paper, multi-dimensional analysis methods will be applied to study on the temporal and spatial variability pattern of sea surface salinity from 2014 to 2019 in South China Sea. In this paper, to reveal the temporal and spatial variability of SSS in South China Sea, time series analysis, geostatistical method and EOF decomposition algorithms were adopted. The purpose is studying on the temporal and spatial variability pattern of sea surface salinity from 2014 to 2019 in South China Sea.