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.

本数据集基于海表温度（Sea Surface Temperature, SST）与海平面异常（Sea Level Anomaly, SLA）数据构建。依据拓扑结构，可将涡旋-锋面关联合理划分为弱关联、中等关联与强关联三类。涡旋-锋面关联识别网络（eddy-front association recognition network, EFARN）可用于获取识别得到的锋面、涡旋-锋面类别掩码以及三类涡旋-锋面关联。