Temporal and Spatial Distribution of Sea Surface Temperature in the East China Sea Based on SODA Data
摘要
Sea Surface Temperature (SST) is one of the primary physical parameters of the ocean and a key focus of marine research both domestically and internationally. This study utilizes the Simple Ocean Data Assimilation (SODA) dataset from 1980 to 2022, comprising 43 years of data, to analyze the temporal and spatial evolution characteristics of SST in the East China Sea (ECS). Through a comprehensive analysis of the dataset, this research reveals long-term trends, distribution features, and seasonal variations in SST across ECS. It was found that the SST in ECS has shown a significant upward trend over recent decades, with marked seasonal variations and spatial distribution primarily influenced by solar radiation, ocean currents, and water masses. This study provides valuable insights for understanding the marine environment of ECS under global climate change and offers scientific support for the management of marine resources and ecological protection in the region.