Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline
The visualization of flow fields is crucial for comprehending and explaining spatio-temporal geographic processes that encompass diverse fluid phenomena in the ocean. This study presents an interactive visualization algorithm designed for the spatio-temporal correlated ocean unsteady flow field util...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2440445 |
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| author | Fenglin Tian Jing Xie Guangzhe Liu Yongyang Qi Ge Chen |
| author_facet | Fenglin Tian Jing Xie Guangzhe Liu Yongyang Qi Ge Chen |
| author_sort | Fenglin Tian |
| collection | DOAJ |
| description | The visualization of flow fields is crucial for comprehending and explaining spatio-temporal geographic processes that encompass diverse fluid phenomena in the ocean. This study presents an interactive visualization algorithm designed for the spatio-temporal correlated ocean unsteady flow field utilizing dynamic adaptive pathlines. The algorithm based on the pathline space–time continuum framework, provides enhanced space–time continuity and computational efficiency, and it modify the pathline length interactively by adjusting the correlation coefficient. Furthermore, an interactive transfer function has been created to extract different characteristics of the 2D/3D flow field from the ambient current. Using the high-resolution 2D/3D ocean current datasets GLORYS12V1 and OMEGA3D to apply and test, the experimental results illustrate that the pathline-based visualization algorithm, as opposed to the streamline-based approach, can effectively represent a wide array of marine phenomena in real-time with improved clarity. Moreover, it has the capability to dynamically capture intricate features within complex flow fields. |
| format | Article |
| id | doaj-art-ddef467bf4ad414f8bb4db2eac4672db |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-ddef467bf4ad414f8bb4db2eac4672db2025-01-16T09:13:03ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-12-0118110.1080/17538947.2024.2440445Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathlineFenglin Tian0Jing Xie1Guangzhe Liu2Yongyang Qi3Ge Chen4Department of Marine Technology, Ocean University of China, Qingdao, People’s Republic of ChinaDepartment of Marine Technology, Ocean University of China, Qingdao, People’s Republic of ChinaDepartment of Marine Technology, Ocean University of China, Qingdao, People’s Republic of ChinaDepartment of Marine Technology, Ocean University of China, Qingdao, People’s Republic of ChinaDepartment of Marine Technology, Ocean University of China, Qingdao, People’s Republic of ChinaThe visualization of flow fields is crucial for comprehending and explaining spatio-temporal geographic processes that encompass diverse fluid phenomena in the ocean. This study presents an interactive visualization algorithm designed for the spatio-temporal correlated ocean unsteady flow field utilizing dynamic adaptive pathlines. The algorithm based on the pathline space–time continuum framework, provides enhanced space–time continuity and computational efficiency, and it modify the pathline length interactively by adjusting the correlation coefficient. Furthermore, an interactive transfer function has been created to extract different characteristics of the 2D/3D flow field from the ambient current. Using the high-resolution 2D/3D ocean current datasets GLORYS12V1 and OMEGA3D to apply and test, the experimental results illustrate that the pathline-based visualization algorithm, as opposed to the streamline-based approach, can effectively represent a wide array of marine phenomena in real-time with improved clarity. Moreover, it has the capability to dynamically capture intricate features within complex flow fields.https://www.tandfonline.com/doi/10.1080/17538947.2024.2440445Unsteady flow field visualizationspace–time continuumadaptive pathlineinteractive transfer functionflow feature extraction |
| spellingShingle | Fenglin Tian Jing Xie Guangzhe Liu Yongyang Qi Ge Chen Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline International Journal of Digital Earth Unsteady flow field visualization space–time continuum adaptive pathline interactive transfer function flow feature extraction |
| title | Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline |
| title_full | Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline |
| title_fullStr | Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline |
| title_full_unstemmed | Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline |
| title_short | Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline |
| title_sort | interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline |
| topic | Unsteady flow field visualization space–time continuum adaptive pathline interactive transfer function flow feature extraction |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2024.2440445 |
| work_keys_str_mv | AT fenglintian interactivevisualizationofoceanunsteadyflowdatabasedondynamicadaptivepathline AT jingxie interactivevisualizationofoceanunsteadyflowdatabasedondynamicadaptivepathline AT guangzheliu interactivevisualizationofoceanunsteadyflowdatabasedondynamicadaptivepathline AT yongyangqi interactivevisualizationofoceanunsteadyflowdatabasedondynamicadaptivepathline AT gechen interactivevisualizationofoceanunsteadyflowdatabasedondynamicadaptivepathline |