Python在CINRAD风暴数据可视化中的应用

利用Python语言实现了新一代多普勒天气雷达风暴数据的解码和可视化。通过建立风暴自动匹配方法,利用Python地理信息可视化和时间序列可视化技术,实现风暴追踪的动画显示效果;利用Python数据分析与图表可视化技术,实现风暴多维度信息的图表显示,直观展示风暴变化趋势。本文提供了一种更加通用的快速获取风暴信息的方法,为气象业务工作者使用雷达资料带来便利。同时,增强的风暴信息可视化效果提高了资料再利用价值,为专业领域的研究提供支持。

Application of Python in Visualization of CINRAD Storm Products

Using the Python language, the decoding and visualization of the new generation Doppler weather radar storm data is realized. Through the establishment of the storm automatic matching method and in use of Python geographic information visualization and time series visualization technology, the animation display effect of storm tracking is achieved. By using Python data analysis and chart visualization technology, the multi dimensional information of the storm can be displayed in the chart, and the trend of the storm can be intuitively displayed. The work in this paper provides a more general method to get the storm information quickly, which brings convenience to weather forecasters to use the radar data. Meanwhile, the enhanced visualization of storm information improves the reuse of data and supports the researches in the field of expertise.