Visually accurate multi-field weather visualization

Kirk Riley, D. Ebert, C. Hansen, J. Levit
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引用次数: 62

Abstract

Weather visualization is a difficult problem because it comprises volumetric multi-field data and traditional surface-based approaches obscure details of the complex three-dimensional structure of cloud dynamics. Therefore, visually accurate volumetric multi-field visualization of storm scale and cloud scale data is needed to effectively and efficiently communicate vital information to weather forecasters, improving storm forecasting, atmospheric dynamics models, and weather spotter training. We have developed a new approach to multi-field visualization that uses field specific, physically-based opacity, transmission, and lighting calculations per-field for the accurate visualization of storm and cloud scale weather data. Our approach extends traditional transfer function approaches to multi-field data and to volumetric illumination and scattering.
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视觉上精确的多场天气可视化
天气可视化是一个难题,因为它包括体积多场数据,而传统的基于表面的方法模糊了云动力学复杂的三维结构的细节。因此,需要对风暴尺度和云尺度数据进行视觉上精确的体积多场可视化,以便有效和高效地向天气预报员传达重要信息,改进风暴预报、大气动力学模型和气象观测员培训。我们已经开发了一种新的多场可视化方法,该方法使用特定于现场的、基于物理的不透明度、透射率和照明计算,以实现风暴和云尺度天气数据的精确可视化。我们的方法将传统的传递函数方法扩展到多场数据和体积照明和散射。
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