A Method of Quickly Obtaining Contour Data of Radar Composite Reflectivity
A technology of reflectivity and contour lines, applied in radio wave measurement systems, instruments, etc., can solve the problems of increasing product data volume, reducing data acquisition efficiency, and consuming large computing overhead, achieving good technical effects and shortening response time , the effect of reducing the amount of calculation data
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 The method for combining the reflectivity contour data of the radar of the present invention includes the following specific steps:
 1. Normalization of radar 3D scan data: From the original radar 3D scan reflectivity data, obtain the data of each scan layer, and construct the radar antenna position as the center and the azimuth angle as j degrees in each scan layer taken. , the elevation angle is the elevation angle corresponding to each scan layer, the number of data points is the line data of the original data number of any scan line in each scan layer, a total of 360 scan line data, where j represents the azimuth angle corresponding to the scan line Angle, the value range of j is 0 ≤j ≤359 and j is an integer. On the newly constructed 360 line data, the spatial interval between the i-th data point and the i+1-th data point is 1 km, where i represents the number of detection data points on the scan line from the radar center, 1≤i ≤ the number of data points on...
 For the radar combined reflectance contour data obtained in the first embodiment, the corresponding color is given to each contour according to the reflectivity factor Z value, and the result is as follows Figure 8 shown.
 In this example, different colors are assigned to the contour lines of different values, which can intuitively express the size of the echo value. For example, if the contour line is red or dark red, it means that the contour line represents high echo values. The area allows meteorological experts to intuitively determine the area of heavy rainfall.
 This kind of product data can intuitively express different callback areas, especially in the form of contour vector data, which has the characteristics of accurate location and easy data sharing and use. When superimposed and displayed with various image data, the use of this contour data with vector characteristics can avoid visual confusion with other image data.
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