Normal and abnormal eddy dataset based on the intersection of altimeters and Argos

The current mainstream identification method of eddy based on the altimeter is not completely certain in determining the polarity of eddies, so we use the Argo arrays covering the global ocean to screen out abnormal eddies with subsurface potential density anomaly features opposite to surface height anomaly features, including abnormal anticyclonic eddies and abnormal cyclonic eddies. Meanwhile, for further comparing the differences between the natures of normal and abnormal eddies, we also screen out the normal eddies whose subsurface potential density anomaly features are same as surface height anomaly features, including normal anticyclonic eddies and normal cyclonic eddies. The dataset stores the location coordinate, radius, amplitude and lifetime of the eddy, as well as the float number, profile number, location coordinate, date of record of the profile in this eddy and the potential density anomaly in the depth range of 0-1000 m.当前基于高度计（altimeter）的主流涡旋（eddy）识别方法，在判定涡旋极性方面仍存在一定不确定性。为此，本研究依托覆盖全球海洋的Argo阵列（Argo arrays），筛选出次表层位势密度异常（subsurface potential density anomaly）特征与海面高度异常（surface height anomaly）特征相反的异常涡旋，包括异常反气旋涡旋与异常气旋涡旋。同时，为进一步对比正常涡旋与异常涡旋的性质差异，本研究还筛选出次表层位势密度异常特征与海面高度异常特征一致的正常涡旋，包括正常反气旋涡旋与正常气旋涡旋。本数据集存储了涡旋的位置坐标、半径、振幅与生命周期，同时收录了该涡旋内各剖面的浮标编号、剖面序号、位置坐标、记录日期，以及0-1000米深度范围内的位势密度异常数据。