A team of researchers from the Chinese Academy of Sciences, led by Professor Li Xiaofeng, studied Pacific activity using AI technology. Information about the work published in Science Advances
The research team first used a satellite-based deep learning model to predict the extent of ocean instability.
The main reasons ocean storms and storms begin are hidden under the water column. They can be tracked according to satellite remote sensing data. Scientists have used deep AI training to process all of these signals.
Artificial intelligence technology is a promising alternative to model oceanic phenomena, it allows you to bypass the difficulties that traditional numerical models encounter.
Li Xiaofeng, Professor, China Academy of Sciences
Researchers have developed a deep learning model to predict ocean conditions based on current and previous satellite data. Verification showed that the model effectively and accurately predicts the temperature of the water and fixes the spatial and temporal variations of the propagation of large waves.
According to Professor Lee, models based on artificial intelligence, statistical models, and traditional numerical models can complement each other, in which case they will provide a new perspective for studying complex oceanic features.