A 3D Structure Extraction Method from Multi-Depth Ocean Temperature Data
文献类型：期刊论文
| 作者 | Luo, Xudong3,4; Fu, Xin4; Han, Zhoushun3,4; Yu, Jianing2,3; Zhang, Hengcai2,3; Xu, Zhenghe4; Wu, Yu1 |
| 刊名 | JOURNAL OF MARINE SCIENCE AND ENGINEERING
 |
| 出版日期 | 2025-12-06 |
| 卷号 | 13期号:12页码:2316 |
| 关键词 | 3D ocean structure marine technology anomaly extraction 3D analysis multi-depth ocean temperature datasets |
| DOI | 10.3390/jmse13122316 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Understanding subsurface temperature-transition structures is essential for interpreting upper-ocean stratification; however, most existing methods rely on two-dimensional profiles and fail to resolve the full three-dimensional geometry of temperature anomalies. This study proposes the Three-Dimensional Ocean Temperature Structure Extraction method (3D-OTSE), a flexible data-driven framework that identifies coherent three-dimensional thermal-transition features directly from multi-depth ocean temperature fields. The method defines a Temperature-Contrast Index (TCI) based on local three-dimensional temperature differences, determines an adaptive threshold from the curvature of the TCI distribution, and employs 3D DBSCAN to extract volumetric structures. Rather than assuming a thermocline, 3D-OTSE detects a wide range of vertical temperature anomalies-including thermoclines, inverse thermoclines, and multilayer transitions-according to their spatial organization in the data. Applying this method to the South China Sea Basin (SCS) can reconstruct thermocline-like structures that conform to large-scale regional patterns and can also capture complex lateral variations that are difficult to detect by traditional profile diagnosis methods. The region-adaptive threshold enables this framework to adapt to inhomogeneous formation states and spatio-temporal scales. In general, 3D-OTSE provides a universal, parameter-adaptive tool for finding three-dimensional underground temperature anomaly layers, supplements perspectives for traditional methods, and lays the foundation for future multivariate and time-varying applications. |
| URL标识 | 查看原文 |
| WOS关键词 | THERMOCLINE ; VARIABILITY |
| WOS研究方向 | Engineering ; Oceanography |
| 语种 | 英语 |
| WOS记录号 | WOS:001647566100001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219455]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Fu, Xin |
| 作者单位 | 1.Tianjin Univ, Sch Earth Syst Sci, Tianjin 300072, Peoples R China 2.Shandong Univ Aeronaut, Shandong Key Lab Eco Environm Sci Yellow River Del, Binzhou 256603, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 4.Univ Jinan, Sch Water Conservancy & Environm, Jinan 250022, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Luo, Xudong,Fu, Xin,Han, Zhoushun,et al. A 3D Structure Extraction Method from Multi-Depth Ocean Temperature Data[J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING,2025,13(12):2316. |
| APA | Luo, Xudong.,Fu, Xin.,Han, Zhoushun.,Yu, Jianing.,Zhang, Hengcai.,...&Wu, Yu.(2025).A 3D Structure Extraction Method from Multi-Depth Ocean Temperature Data.JOURNAL OF MARINE SCIENCE AND ENGINEERING,13(12),2316. |
| MLA | Luo, Xudong,et al."A 3D Structure Extraction Method from Multi-Depth Ocean Temperature Data".JOURNAL OF MARINE SCIENCE AND ENGINEERING 13.12(2025):2316. |
入库方式： OAI收割
来源：地理科学与资源研究所
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