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Visualization of structured nonuniform grids

机译：可视化结构化非均匀网格

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Operational forecasters and weather researchers need accurate visualization of atmospheric data from both computational models and observed data. Although these two applications share some requirements, they have different needs and goals. We've developed a visualization tool for atmospheric science researchers and research weather forecasters that allows the 3D visualization of measured radar data and rendered numerical model data to show the 3D structures as well as how the weather event would look when observed in the field. Our system lets us load the original data directly onto the graphics hardware, with the grid mapping from the rendering space to the grid space programmed on the GPU. This method is flexible enough to handle the grids important in meteorological research and enables the application of advanced visualization methods available in texture-based slicing systems. The visually accurate rendering of weather data can be useful for training weather spotters, evaluating forecasting models, training forecasters to interpret radar data, and comparing sensor data to observed weather events.
机译：运营预报员和天气研究人员需要准确地可视化来自计算模型和观测数据的大气数据。尽管这两个应用程序具有一些需求，但是它们具有不同的需求和目标。我们为大气科学研究人员和研究天气预报员开发了可视化工具，该工具可以对测得的雷达数据和渲染的数值模型数据进行3D可视化，以显示3D结构以及在野外观察时天气事件的外观。我们的系统允许我们将原始数据直接加载到图形硬件上，并具有从渲染空间到在GPU上编程的网格空间的网格映射。这种方法足够灵活，可以处理在气象研究中很重要的网格，并且可以应用基于纹理的切片系统中可用的高级可视化方法。视觉上准确的天气数据渲染对于培训天气观测者，评估预报模型，培训预报员以解释雷达数据以及将传感器数据与观察到的天气事件进行比较可能很有用。

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