面向web三维应用的气象雷达矢量剖面生成

Generation of Weather Radar Vector Profiles for Web 3D Applications

气象雷达矢量剖面主要负责监测与研究强对流天气的面向web三维应用的三维结构特征,传统剖面生成无法能够保证空间连续性,不能最大程度保留特征。为此,提出一种新的面向web三维应用的气象雷达矢量剖面生成方法。确定雷达反射率因子垂直剖面基线。在此基础上,由剖线左端某点着手,分别求出剖线上各点的垂直距离与方位角。设定剖面上同剖线点相对应的空间垂直线点,计算其反射率强度;通过径向、方位上的最近邻与垂直线性内插结合的插值方法生成气象雷达矢量剖面图。依据相同高度的雷达数据,研究气象雷达回波信息在一定高度上的水平分布;将其和该高度相邻天气图结合在一起,获取面向三维应用的不同天气的三维结构。实验结果表明,所提方法生成的气象雷达矢量剖面空间位置合理,在水平与竖直方向均有很好的空间连续性,分辨率高,分析值和观测值更加接近。将所提方法应用于气象预测中,能够有效完成预测,应用性强。

The meteorological radar vector section is mainly responsible for monitoring and studying the three-dimensional structure features of the web 3D application for strong convective weather.The traditional section generation can not guarantee the spatial continuity and can not retain the features in the maximum degree.Therefore,a new generation method of weather radar vector profile for web 3D application is proposed.The vertical profile baseline of radar reflectivity factor is determined.On this basis,the vertical distance and azimuth angle of each point on the section line are obtained by starting from a certain point on the left side of the section line.The spatial vertical line points corresponding to the profile point on the profile are set,and the reflectance intensity is calculated.The vector profile of the weather radar is generated by the interpolation method combined with the nearest neighbor and vertical linear interpolation in the radial and azimuth.According to the radar data of the same height,the horizontal distribution of the echo information of the weather radar at a certain height is studied,and it is combined with the high adjacent weather map to obtain the three-dimensional structure of different weather for three dimensional applications.The experimental results show that the space position of the vector profile generated by the proposed method is reasonable,and has a good spatial continuity in the horizontal and vertical direction,and the resolution is high,and the analysis value and the observation value are closer.The application of the proposed method and meteorological prediction can effectively predict and apply strongly.