A Black Hole Eddy dataset of North Pacific Ocean based on satellite altimetry
Fenglin Tian,Yingying Zhao,Lan Qin,Shuang Long,and Ge Chen
Fenglin Tian
State Key Laboratory of Physical Oceanography, College of Marine Technology, Ocean University of China, Qingdao, 266100, China
Laboratory for regional Oceanography and Numerical Modelling, Department of Ocean Big Data and Prediction, Laoshan Laboratory, Qingdao, 266237, China
Yingying Zhao
State Key Laboratory of Physical Oceanography, College of Marine Technology, Ocean University of China, Qingdao, 266100, China
Lan Qin
State Key Laboratory of Physical Oceanography, College of Marine Technology, Ocean University of China, Qingdao, 266100, China
Shuang Long
Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai, 536000, China
Black Hole Eddy (BHE) is vital for transporting materials but were previously hard to identify efficiently. This study introduces an efficient method to identify BHE, 13 times quicker, firstly enables the creation of BHE dataset in the North Pacific from 1993 to 2023. We verified BHE maintains strong coherence and contributes to westward transport about 1.5 Sv. We found some previously unidentified coherent eddies and analyzed their coherence. This represents first comprehensive analysis of BHE.
Black Hole Eddy (BHE) is vital for transporting materials but were previously hard to identify...