{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T16:42:39Z","timestamp":1764002559646,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T00:00:00Z","timestamp":1663286400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>With the constant deepening of research on marine environment simulation and information expression, there are higher and higher requirements for the sense of the reality of ocean data visualization results and the real-time interaction in the visualization process. Aiming at the challenges of 3D interactive key technology and GPU-based visualization algorithm technology, we developed a visualization system for large-scale 3D marine environmental data. The system realizes submarine terrain rendering, contour line visualization, isosurface visualization, section visualization, volume visualization and flow field visualization. In order to manage and express the data in the system, we developed a data management module, which can effectively integrate a large number of marine environmental data and manage them effectively. We developed a series of data analysis functions for the system, such as point query and line query, local analysis and multi-screen collaboration, etc. These functions can effectively improve the data analysis efficiency of users and meet the data analysis needs in multiple scenarios. The marine environmental data visualization system developed in this paper can efficiently and intuitively simulate and display the nature and changing process of marine water environmental factors.<\/jats:p>","DOI":"10.3390\/ijgi11090491","type":"journal-article","created":{"date-parts":[[2022,9,18]],"date-time":"2022-09-18T23:39:22Z","timestamp":1663544362000},"page":"491","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Design and Application of Multi-Dimensional Visualization System for Large-Scale Ocean Data"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7810-2061","authenticated-orcid":false,"given":"Teng","family":"Lv","sequence":"first","affiliation":[{"name":"Department of Navigation Engineering, Naval University of Engineering, Wuhan 430000, China"}]},{"given":"Jun","family":"Fu","sequence":"additional","affiliation":[{"name":"Department of Navigation Engineering, Naval University of Engineering, Wuhan 430000, China"}]},{"given":"Bao","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Navigation Engineering, Naval University of Engineering, Wuhan 430000, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2524","DOI":"10.1016\/j.rse.2010.05.028","article-title":"Seasonal-to-decadal modes of global sea level variability derived from merged altimeter data","volume":"114","author":"Chen","year":"2010","journal-title":"Remote Sens. 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