多普勒天气雷达组网联合观测与数据融合

Joint Detection Doppler Weather Radar Network and Data Fusion

各部天气雷达把共同覆盖区域的探测数据通过互联网传到终端服务器,终端服务器再对联合观测数据进行处理和分析。对比分析了常用的插值算法和改进的自适应Barnes插值算法得到单部雷达的CAPPI资料。在自适应Barnes插值算法的基础上,研究数据分布特点并设定平滑参数。采用多种常用的反射率拼接方法对多部雷达的CAPPI资料拼接后,发现采用指数权重函数法具有优良的效果。实验表明,具有各向异性的滤波的自适应Barnes插值算法能够得到效果更好的CAPPI数据。

The detection data of the common coverage area are sent to the terminal server through the Internet,and then the terminal server processes and analyzes the joint observation data.In this paper,the methods of interpolating reflectivity volume scan data into the grids in the Cartesian coordinate system and three-dimensional mosaic for gridded reflectivity data of several radars are studied.The smoothing parameters of adaptive Barnes interpolation are improved.Through comparison of CAPPI images obtained by the commonly used interpolation schemes and the improved adaptive Barnes interpolation,it was found that the latter can provide consecutive reflectivity fields and retain high-resolution structure comparable to the raw data.The mean deviation filter is adopted to screen grid data and the data are fused by various fusion method.Result shows that index weight function is an excellent method which can provide continuous three-dimensional reflectivity mosaic data.