Visual exploration and evaluation of climate-related simulation data
Visual exploration and evaluation of climate-related simulation data
复制标题
DOI：
10.1109/wsc.2007.4419664
复制
发表时间：
2007-12
期刊：
影响因子：
--
通讯作者：
T. Nocke;M. Flechsig;U. Böhm
中科院分区：
文献类型：
--
作者：
T. Nocke;M. Flechsig;U. Böhm
在许多学科中，例如在气候和气候影响研究中，计算和存储大量的异构模拟数据。为了获得洞察力，当前的气候分析将统计方法和模型敏感性分析与标准可视化技术相结合。然而，有一些障碍，研究人员在应用复杂的可视化的全部功能，利用可用的交互和可视化功能，以超越数据呈现任务。特别是，有一个可用的和实际应用的多变量可视化技术之间的差距。此外，仿真（和测量）数据的可视化数据比较仍然是一项具有挑战性的任务。因此，本文介绍了一个可视化技术库，量身定制，以支持气候模拟数据的探索和评估。这些技术被集成到易于使用的可视化框架SimEnvVis -设计作为一个前端用户界面的模拟环境-它提供了一个高层次的用户支持生成可视化表示。
Large, heterogeneous volumes of simulation data are calculated and stored in many disciplines, e.g. in climate and climate impact research. To gain insight, current climate analysis applies statistical methods and model sensitivity analyzes in combination with standard visualization techniques. However, there are some obstacles for researchers in applying the full functionality of sophisticated visualization, exploiting the available interaction and visualization functionality in order to go beyond data presentation tasks. In particular, there is a gap between available and actually applied multi-variate visualization techniques. Furthermore, visual data comparison of simulation (and measured) data is still a challenging task. Consequently, this paper introduces a library of visualization techniques, tailored to support exploration and evaluation of climate simulation data. These techniques are integrated into the easy-to-use visualization framework SimEnvVis - designed as a front-end user interface to a simulation environment - which provides a high level of user support generating visual representations.