A VASUALIZATION FOR THE DYNAMIC BEHAVIORS OF THE MIXTURE OF WATER MASS FOR NORTHWESTERN PACIFIC NEAR JAPAN

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS
Kun Zhao, S. Nakada, Naohisa Sakamoto, K. Koyamada, C. Bajaj, Y. Ishikawa, T. Awaji, T. In, S. Saitoh
{"title":"A VASUALIZATION FOR THE DYNAMIC BEHAVIORS OF THE MIXTURE OF WATER MASS FOR NORTHWESTERN PACIFIC NEAR JAPAN","authors":"Kun Zhao, S. Nakada, Naohisa Sakamoto, K. Koyamada, C. Bajaj, Y. Ishikawa, T. Awaji, T. In, S. Saitoh","doi":"10.1142/S179396231341002X","DOIUrl":null,"url":null,"abstract":"Recent studies are focusing on the distribution of water mass because the mixture region of water mass is highly related to the rich fishing grounds [Yasuda I., Watanabe Y., Fish. Oceanogr.3(3):172–181, 1994]. Due to the large data size and time-varying property, efficient exploration and visualization of the ocean data is always extremely challenging. To extract the dynamic behaviors of the water mass and its mixture from a large-scale simulated ocean dataset, we developed an efficient visualization system by applying our volume compression method and our volume rendering method. This system allows us to investigate the time-varying distributions of ocean physical properties, additionally from the user's perspective and requirements. In the experiments, we show the generality and expressiveness by applying our system for single- and multi-property visualizations to find some significant ocean water mass. Consequently, we could obtain a clear visualization result to show the dynamic behaviors of the mixture of water mass for simulation data regarding a location in the northwestern Pacific near Japan.","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":"38 1","pages":"1341002"},"PeriodicalIF":0.9000,"publicationDate":"2013-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Modeling Simulation and Scientific Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S179396231341002X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 3

Abstract

Recent studies are focusing on the distribution of water mass because the mixture region of water mass is highly related to the rich fishing grounds [Yasuda I., Watanabe Y., Fish. Oceanogr.3(3):172–181, 1994]. Due to the large data size and time-varying property, efficient exploration and visualization of the ocean data is always extremely challenging. To extract the dynamic behaviors of the water mass and its mixture from a large-scale simulated ocean dataset, we developed an efficient visualization system by applying our volume compression method and our volume rendering method. This system allows us to investigate the time-varying distributions of ocean physical properties, additionally from the user's perspective and requirements. In the experiments, we show the generality and expressiveness by applying our system for single- and multi-property visualizations to find some significant ocean water mass. Consequently, we could obtain a clear visualization result to show the dynamic behaviors of the mixture of water mass for simulation data regarding a location in the northwestern Pacific near Japan.
日本附近西北太平洋混合水团动力特性的数值模拟
最近的研究集中在水团的分布上,因为水团的混合区域与丰富的渔场高度相关[Yasuda I., Watanabe Y., Fish.]。Oceanogr.3(3): 172 - 181, 1994)。由于数据量大、时变特性,海洋数据的高效勘探和可视化一直是一个极具挑战性的问题。为了从大型模拟海洋数据集中提取水体及其混合物的动态行为,我们采用体积压缩方法和体积渲染方法开发了一个高效的可视化系统。该系统使我们能够从用户的角度和要求研究海洋物理性质的时变分布。在实验中,我们通过应用我们的系统进行单属性和多属性的可视化来发现一些重要的海水质量,从而显示了系统的通用性和表现力。因此,我们可以获得一个清晰的可视化结果,以显示在西北太平洋附近的一个位置的模拟数据的混合水团的动态行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.50
自引率
16.70%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信