Deep learning detection of submesoscale eddies from MODIS SST in the South China Sea
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Abstract
This dataset provides daily records of submesoscale eddies in the South China Sea from 2015 to 2024, identified from MODIS Aqua and Terra sea surface temperature (SST) imagery. Distributed as daily TXT files, each record includes eddy polarity, center coordinates (longitude and latitude), and eddy diameter.
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Authors: Xi Chen, Zihong Ou, Shaojie Sun, Xiaolong Yu, Jun Zhao
Institutions: Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Pearl River Hydraulic Research Institute