Weather radar base data three-dimensional curved surface triangulation network construction method

Abstract

The invention discloses a weather radar base data three-dimensional curved surface triangulation network construction method, which comprises the following steps of: S1, data analysis, namely analyzing base data according to weather radar base data storage characteristics and a coding format to obtain three-dimensional conical surface data expressed by polar coordinates; S2, data conversion, namely converting the three-dimensional conical surface data represented by polar coordinates into three-dimensional grid point field data represented by Cartesian coordinates through a data interpolation method according to the coordinate range of the specified region; S3, curved surface tracking, namely using a moving cube algorithm to track an equivalent curved surface representing a certain element value, wherein the equivalent curved surface is formed by connecting a plurality of triangles according to a certain topological structure; and S4, data output, namely outputting and storing the triangulation network information representing the equivalent surface. According to the weather radar base data three-dimensional curved surface triangulation network construction method, the constructed three-dimensional grid point field data improves the vertical direction data density, a three-dimensional grid point field can be dynamically constructed according to a specified radar detection range, and three-dimensional reconstruction of a storm monomer or a local range becomes reality.

Description

technical field [0001] The invention relates to detection data in weather forecasting, in particular to a method for constructing a three-dimensional surface triangulation network based on weather radar basic data. Background technique [0002] The new-generation Doppler weather radar detection data is one of the most commonly used detection data in weather forecasting. It is of great significance for studying the formation of precipitation, analyzing small and medium-scale weather systems, and warning of strong convective weather. It is an important tool for small and medium-scale weather monitoring. , providing great help for meteorologists to make accurate forecasts. Existing analysis methods for weather radar echoes mainly stay on two-dimensional planes, such as PPI (Plane Position Display), CAPPI (Contour Plane Position Display) and RHI (Range Height Display) and other plane images, which cannot express storm well. Three-dimensional structural characteristics of cloud ...

AI Technical Summary

Problems solved by technology

[0003] The above-mentioned use of multi-layer cone scanning data of the radar to construct a triangular surface, and the trapezoidal cylinder is used to divide the entire radar data space, which has insufficient vertical precision, resulting in unsatisfactory 3D visualization

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