大气和海洋科学快报（英文版）2021，Vol.14Issue(1)：63-68,6.
黑潮延伸体海洋中尺度涡旋:四套数据的比较
Oceanic mesoscale eddy in the Kuroshio extension: Comparison of four datasets
摘要
Abstract
Some relatively mature mesoscale eddy products have been released for scientific purposes in recent decades.However,the metrics used to identify eddies,the tracking methods,and the definition of the physical parameters are all different across the different datasets,so intercomparisons and validation of these datasets are badly needed.Here,the authors intercompare the basic features of ocean mesoscale eddies in the Kuroshio extension region from four eddy datasets—namely,Chelton,GEM-M,Faghmous,and Dong.In the case study,eddy numbers and locations as well as the eddy tracks identified by the four datasets are compared for a specific date.The authors find that all the datasets have different eddy numbers,but more than 50％ of identified eddies coincide.GEM-M,with the so-called "segmentation" algorithm,can identify considerably more eddies than others,while Chelton identifies fewer eddies due to tracking errors,which also lead to a long lifespan.From the analysis of the probability distribution function of eddy features,GEM-M eddies tend to have a larger amplitude and radius and Chelton tends to have long-life eddies.It is further found that the geographic distributions and temporal variation of normalized eddy features are highly similar among the four datasets—particularly among Chelton,Fahgmous,and Dong.In addition,the mean trajectories of the four datasets are generally overlapped initially,and then spread after 245 days.The findings help toward better understanding the uncertainties of eddy features in the Kuroshio extension region.关键词
中尺度涡/黑潮延伸体/涡旋识别和追踪Key words
Mesoscale eddy/Kuroshio extension/Eddy identification and tracking引用本文复制引用
Yao Meng,Hailong Liu,Pengfei Lin,Mengrong Ding,Changming Dong..黑潮延伸体海洋中尺度涡旋:四套数据的比较[J].大气和海洋科学快报（英文版）,2021,14(1):63-68,6.基金项目
This study was supported by National Key R&D Program for Developing Basic Sciences[grant number 2018YFA0605703],the Strategic Priority Research Program of the Chinese Academy of Sciences[grant number XDB42010404],and the National Natural Science Foundation of China[grant numbers 41976026,41776030,41931183,and 41931182]. （）
