Voting-based Ensemble-averaging Visualization for Water Mass Distribution
Voting-based Ensemble-averaging Visualization for Water Mass Distribution
复制标题
基于投票的水体分布的集合平均可视化
DOI：
10.1007/s12650-014-0258-6
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发表时间：
2015
影响因子：
1.7
通讯作者：
Koji Koyamada
中科院分区：
文献类型：
--
作者：
Kun Zhao;Naohisa Sakamoto;Koji Koyamada
摘要 水团分布已成为近年来海洋研究的重要课题之一。水团动态流动并具有年际变化，因此即使在短时间内，分布也可能发生巨大变化，并且每年可能有所不同。在本文中，我们使用包含多个海洋变量的高分辨率海洋数据集来可视化水团的细节。由于水团可以由多个海洋变量（例如温度和盐度）来定义，因此我们开发了一个多变量可视化系统，该系统使我们能够从多个变量中提取水团的时变分布。然后，多个海洋专家对可视化进行调整，因为直接应用现有定义来提取水团会导致渲染结果不正确。这就带来了另一个问题，不同的海洋专家可能对水团的分布有不同的看法，从而调整也会不同。为了解决这个问题，对多个海洋专家调整后的渲染结果进行集合平均处理。为了提高真实性，我们还在系统中添加了投票方案，以便可以将多数规则应用于整体平均结果。作为所提出的基于投票的集合平均可视化系统的应用，我们首先显示重要水团的年际变化，然后可视化不同年份的感兴趣时期的动态行为。我们还强调了对水团分布有强烈影响的混合现象。因此，我们可以获得清晰、准确的水团分布可视化。图形摘要
AbstractThe distribution of water masses has become one of the most important topics in recent oceanic research. Water masses flow dynamically and have interannual variability, and hence the distribution can change dramatically even over short time periods and may differ from year to year. In this paper, we use a high-resolution ocean dataset, which contains multiple ocean variables, to visualize the details of the water mass. Because water mass can be defined by multiple ocean variables (e.g., temperature and salinity), we develop a multi-variate visualization system, which allows us to extract the time-varying distributions of water masses from multiple variables. The visualization is then adjusted by multiple ocean specialists because directly applying the existing definition to extract the water mass would result in incorrect rendering results. This leads to another problem that different ocean specialists may have different perspectives on the distribution of water masses, so that the adjustments would also be different. To solve this problem, an ensemble average process is performed for the adjusted rendering results from multiple ocean specialists. To increase the authenticity, we also add a voting scheme to the system, so that a majority rule can be applied to the ensemble-averaging result. As the application of the proposed voting-based ensemble-averaging visualization system, we first show the interannual variability of the significant water mass and then visualize the dynamic behavior for the period of interest in different years. We also highlight a mixing phenomenon that has a strong influence on the distribution of the water mass. As a result, we can obtain a clear and accurate visualization of the water mass distribution.Graphical Abstract