The forecasting of tropical cyclones has long been a complex and challenging task, particularly when it comes to predicting Rapid Intensification (RI), a phenomenon characterized by a sudden and significant increase in wind speed. Researchers from the Institute of Oceanology of the Chinese Academy of Sciences have made a crucial advancement in this field by developing a novel model that leverages "contrastive learning" to improve the accuracy of RI predictions.
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