Global climatology of submesoscale restratification using machine learning
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Researchers are using machine learning to study the global climatology of submesoscale restratification. The study appears to involve high-resolution ocean models, with data available from simulations of specific regions, such as the Northern South China Sea. Details of the study's methodology and findings are not specified, but it involves the use of ocean models with varying resolutions.