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A New Three-Dimensional Visualization System for Combining Aircraft and Radar Data and Its Application to RICO Observations

机译:飞机与雷达数据相结合的新型三维可视化系统及其在RICO观测中的应用

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摘要

The analysis of diverse datasets from meteorological field campaigns often involves the use of separate 1D or combined 2D plots from various applications, making the determination of spatial and temporal relationships and correlations among these data, and the overall synthesis of information, extremely challenging. Presented here is a new 3D visualization tool, the Aircraft and Radar Data Collocation and Analysis in 3D (ARCA3D), that can combine data collected from different sources and at different scales, utilizing advanced visualization and user interface techniques, which allows for easier comparison and synthesis of such disparate data. The 3D tool is demonstrated with aircraft-based microphysical probe data and ground-based dual-polarization radar data all collected during the Rain in Cumulus over the Ocean (RICO) field campaign. The 3D volumes of radar data can be interactively selected and quantitatively probed, while aircraft-measured variables can be viewed along the aircraft track plotted within the 3D radar volumes or plotted as time series within regions of interest relative to the radar echoes. The greatest benefits of the new software, the 3D viewing of large radar and aircraft datasets with user-driven controls, are difficult to communicate here in a static, 2D written medium, but the application of the tool toward a research problem is presented to elucidate the impacts of these benefits. The ARCA3D software is used to investigate the possible role of giant aerosol particles in the development of precipitation in trade wind cumuli. The temporal trends in the spatial location of the maximum differential reflectivity echoes within the clouds are examined with respect to the ambient giant aerosol number concentration and the measured cloud-base droplet number concentrations on 10 days. The results indicate that in trade wind cumuli of sufficient depth, giant aerosol may determine the original location of the earliest differential reflectivity maximum echo, and thus the first raindrops when present in higher number concentrations. However, when the giant aerosol are less plentiful, the number of cloud droplets activated above the cloud base may also play a role in determining the location of the earliest maximum differential reflectivity echo, and thus the earliest raindrops, in these trade wind cumuli.
机译:来自气象野战的各种数据集的分析通常涉及使用来自各种应用程序的单独的1D或组合的2D绘图,这使得确定这些数据之间的时空关系和相关性以及信息的整体综合非常困难。这里展示的是一种新的3D可视化工具,即3D飞机和雷达数据配置和分析(ARCA3D),它可以利用先进的可视化和用户界面技术,结合从不同来源和不同规模收集的数据,从而使比较和比较容易。这些不同数据的综合。 3D工具通过基于飞机的微物理探测数据和基于地面的双极化雷达数据进行了演示,这些数据都是在海洋积雨(RICO)野战期间收集的。雷达数据的3D体积可以进行交互选择和定量探测,而飞机测量的变量可以沿3D雷达体积内绘制的飞机航迹查看,或在感兴趣区域内相对于雷达回波按时间序列绘制。新软件的最大好处是,在3D视图下使用用户驱动的控件查看大型雷达和飞机数据集,很难在静态的2D书面介质中进行通信,但是提出了该工具在研究问题中的应用以阐明这些好处的影响。 ARCA3D软件用于研究巨型气溶胶颗粒在商业风积云中降水发展中的可能作用。相对于周围的巨型气溶胶数浓度和10天测量的云基液滴数浓度,检查了云内最大差分反射回波的空间位置的时间趋势。结果表明,在足够深度的商业风积云中,巨大的气溶胶可能会确定最早的差分反射率最大回波的原始位置,从而确定较高浓度的第一个雨滴。但是,当巨型气溶胶不那么丰富时,在这些基层风中积聚的云滴上方激活的云滴的数量也可能会影响确定最早的最大差分反射率回波的位置,从而确定最早的雨滴的位置。

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  • 来源
    《Journal of atmospheric and oceanic technology》 |2010年第5期|p.811-828|共18页
  • 作者单位

    Dept. of Earth and Atmospheric Sciences, Purdue University, 550 Stadium Mall Dr., West Lafayette, IN 47907;

    rnDepartment of Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana;

    rnPurdue University Rendering and Perceptualization Laboratory, West Lafayette, Indiana;

    rnPurdue University Rendering and Perceptualization Laboratory, West Lafayette, Indiana;

    rnPurdue University Rendering and Perceptualization Laboratory, West Lafayette, Indiana;

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