Analyzing the evolution of thunderstorms is critical in determining the potential for the development of severe weather events. Existing visualization systems for short-term weather forecasting (nowcasting) allow for basic analysis and prediction of storm developments. However, they lack advanced visual features for efficient decision-making. We developed a visual analytics tool for the detection of hazardous thunderstorms and their characterization, using a visual design centered on a reformulated expert task workflow that includes visual features to overview storms and quickly identify high-impact weather events, a novel storm graph visualization to inspect and analyze the storm structure, as well as a set of interactive views for efficient identification of similar storm cells (known as analogs) in historical data and their use for nowcasting. Our tool was designed with and evaluated by meteorologists and expert forecasters working in short-term operational weather forecasting of severe weather events. Results show that our solution suits the forecasters' workflow. Our visual design is expressive, easy to use, and effective for prompt analysis and quick decision-making in the context of short-range operational weather forecasting.

中文翻译：

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Hornero：使用可视化分析的雷暴表征

分析雷暴的演变对于确定恶劣天气事件发展的可能性至关重要。现有的短期天气预报（临近预报）可视化系统允许对风暴发展进行基本分析和预测。但是，它们缺乏用于有效决策的高级视觉功能。我们开发了一种用于检测危险雷暴及其特征的可视化分析工具，使用以重新制定的专家任务工作流为中心的可视化设计，该工作流包括概述风暴和快速识别高影响天气事件的视觉特征，一种新颖的风暴图可视化以检查分析风暴结构，以及一组交互式视图，用于有效识别历史数据中的类似风暴单元（称为类似物）及其用于临近预报。我们的工具是由从事恶劣天气事件短期业务天气预报工作的气象学家和专家预报员设计和评估的。结果表明，我们的解决方案适合预测人员的工作流程。我们的视觉设计富有表现力，易于使用，并且可以有效地在短期业务天气预报的背景下进行及时分析和快速决策。