EFARN data

Based on sea surface temperature (SST) and sea level anomaly (SLA) data, the eddy-front associations are reasonably classified into three categories according to their topological structure, which are weak association, medium association and strong association. The eddy-front association recognition network (EFARN) is used to obtain the recognized fronts, the mask of eddy-front categories and three types of eddy-front associations.

本数据集基于海表面温度（sea surface temperature, SST）与海平面异常（sea level anomaly, SLA）数据，依据拓扑结构将涡旋-锋面关联合理划分为三类：弱关联、中等关联与强关联。通过涡旋-锋面关联识别网络（eddy-front association recognition network, EFARN），可获取已识别的锋面、涡旋-锋面类别掩膜以及三类涡旋-锋面关联结果。