一种基于多普勒天气雷达基数据的三维建模算法
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作者单位:

1.江苏省气象信息中心;2.江苏省气象台

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P412

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江苏省气象局重点项目(KZ201904)


THE ALGORITHM FOR 3D MODELING OF DOPPLER WEATHER RADAR BASE DATA
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Affiliation:

1.Jiangsu Meteorological Information Center;2.Jiangsu Meteorological Observatory

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    摘要:

    根据多普勒天气雷达基数据空间呈锥状分布的特点,提出了基于基数据的移动梯状多面体三维建模算法(MTPD)。该方法采用梯状多面体作为体积单元;根据雷达三维建模空间范围选择六面体索引和四面体索引两种不同模式构建三维等值面,以平衡算法效率和建模结果精度。在该算法基础上利用WebGL技术开发了多普勒天气雷达三维可视化平台。结果表明:与传统三维建模算法相比,MTPD在保证建模精度的条件下明显提升了算法效率,六面体索引模式和四面体索引模式计算效率分别提高62.5%和23.0%;四面体索引模式得到的回波三维结构更连续;基于WebGL的多普勒天气雷达三维可视化平台提供了跨平台的雷达三维展示,能够直观反映对流云的三维结构。

    Abstract:

    This paper proposed a Marching Trapezoidal Polyhedrons 3D modeling algorithm (MTPD) based on the spatial cone-shape distribution of Doppler weather radar base data. In this algorithm, a trapezoidal polyhedron was introduced as a basic volume element for modelling. On the other hand, the hexahedral ?index or tetrahedral index was selected as the construction model for the 3D iso-surface based on the difference in spatial range for 3D radar modeling, to balance the efficiency of the algorithm and the precision of the modeling results. Based on this algorithm, a doppler weather radar 3D visualization platform was developed using WebGL technology. The results revealed that the algorithm significantly improved efficiency without compromising the precision of 3D modeling when compared with the conventional modeling algorithm based on radar grid data. The computational efficiency for the algorithms were increased by 62.5% and 23.0%, under the tetrahedral index mode, the 3D echo structure was more continuous, with a higher level of precision. The doppler weather 3D radar visualization platform based on the B/S architecture could provide a cross-platform 3D radar display, thus visualizing the 3D structure of convective cloud effectively.

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历史
  • 收稿日期:2021-12-06
  • 最后修改日期:2022-01-21
  • 录用日期:2022-01-25
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