Visually Comparing Weather Features in Forecasts
Visually Comparing Weather Features in Forecasts
复制标题
直观地比较预测中的天气特征
DOI：
10.1109/tvcg.2015.2467754
复制
发表时间：
2016
影响因子：
5.2
通讯作者：
J. Dykes
中科院分区：
文献类型：
--
作者：
Miriah D. Meyer;M. Goodchild;Steve Kruger;J. Dykes
气象学家使用可视化处理和分析天气预报，以检查天气特征的行为和之间的关系。在这项与决策支持角色的气象学家进行的设计研究中，我们确定并试图解决天气可视化中的两个重要的共同挑战：在广泛的可视化中使用不一致且通常无效的视觉编码实践，以及缺乏对直接可视化不同天气特征如何在可能的预报结果集合中相关的支持。在这项工作中，我们提出了与气象预报相关的问题和数据的表征，我们提出了一套知情的默认编码选择，将现有的气象公约与有效的可视化实践相结合，我们扩展了一套技术，作为直接可视化的多个功能的相互作用在集合预报的第一步。我们讨论了这些贡献集成到一个功能原型工具，也反映了许多实际的挑战，在工作时出现的天气数据。
Meteorologists process and analyze weather forecasts using visualization in order to examine the behaviors of and relationships among weather features. In this design study conducted with meteorologists in decision support roles, we identified and attempted to address two significant common challenges in weather visualization: the employment of inconsistent and often ineffective visual encoding practices across a wide range of visualizations, and a lack of support for directly visualizing how different weather features relate across an ensemble of possible forecast outcomes. In this work, we present a characterization of the problems and data associated with meteorological forecasting, we propose a set of informed default encoding choices that integrate existing meteorological conventions with effective visualization practice, and we extend a set of techniques as an initial step toward directly visualizing the interactions of multiple features over an ensemble forecast. We discuss the integration of these contributions into a functional prototype tool, and also reflect on the many practical challenges that arise when working with weather data.