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基于深度学习的海洋中尺度涡识别与可视化 被引量:4
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作者 芦旭熠 单桂华 李观 《计算机系统应用》 2020年第4期65-75,共11页
中尺度涡是海洋中一种特殊的中尺度现象,对人类活动和海洋科学有着重要意义.海洋物理中对中尺度涡的检测通常依赖由专家预定义或调整的参数,无法保证准确度;或者对全部海洋数据逐点扫描判断,耗时较长.此外,中尺度涡的时空统计数据繁杂,... 中尺度涡是海洋中一种特殊的中尺度现象,对人类活动和海洋科学有着重要意义.海洋物理中对中尺度涡的检测通常依赖由专家预定义或调整的参数,无法保证准确度;或者对全部海洋数据逐点扫描判断,耗时较长.此外,中尺度涡的时空统计数据繁杂,整理和分析工作量巨大且无法较好展示相关信息.本文提出了一种基于深度学习目标检测的海洋中尺度涡检测算法,可达到较高的识别精确率和查全率,避免了阈值选取对中尺度涡检测的影响,大大提高了检测速度;并设计中尺度涡时空特征及海洋信息协同可视化系统,对中尺度涡进行交互式展示和分析,满足对涡旋的统计信息、特征分布和属性关联进行洞察、说明和相关性分析的需求. 展开更多
关键词 中尺度涡识别 中尺度可视化 深度学习 可视化分析
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Oceanic mesoscale eddy in the Kuroshio extension:Comparison of four datasets 被引量:1
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作者 Yao Meng Hailong Liu +2 位作者 Pengfei Lin Mengrong Ding Changming Dong 《Atmospheric and Oceanic Science Letters》 CSCD 2021年第1期63-68,共6页
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 parameter... 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. 展开更多
关键词 Mesoscale eddy Kuroshio extension Eddy identification and tracking
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Parameter identification of internal wave and mesoscale eddy
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作者 庄弘炜 《Journal of Chongqing University》 CAS 2003年第1期51-53,共3页
A simplified parameter identification algorithm for the inverse refractive indexes of the mesoscale eddy and the internal wave in the ocean is proposed by researching into the incident field and the scattered field th... A simplified parameter identification algorithm for the inverse refractive indexes of the mesoscale eddy and the internal wave in the ocean is proposed by researching into the incident field and the scattered field that comprise the total field of a wave in the ocean, considering that the total field and the incident field satisfy the Helmholtz equations and the scattered field conforms to the Sommerfield radiation condition. Two examples for the calculation of refractive index and inverse refractive index respectively of the mesoscale eddy and the internal wave demonstrate the applicability of the algorithm. 展开更多
关键词 parameter identification Helmholtz equation ocean variability
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