Atmospheric radar image interpolation method and device based on Fourier spectrum analysis

Abstract

The invention discloses an atmospheric radar image interpolation method and an atmospheric radar image interpolation device based on Fourier spectrum analysis, which obtain spectral characteristics of temporal and spatial variation of echo intensity by utilizing Fourier spectrum analysis, further apply the spectral characteristics to fit observation data discrete points, and then carry out resampling. The atmospheric radar image interpolation method can make structural characteristics of a strong echo region prominent when processing radar echo data with prominent strong echo center characteristics in a convection region, especially can interpolate an strong echo center which cannot be detected due to low radar resolution at a place far away from a radar, provides reference for further identifying position and intensity of the strong echo center accurately, can solidifying an algorithm program of the atmospheric radar image interpolation method into a chip so as to manufacture a chip device which is fast in operation speed and can satisfy real-time requirements.

Description

technical field [0001] The invention relates to an atmospheric radar image interpolation method and device based on Fourier spectrum analysis, and belongs to the technical field of weather radar image processing. Background technique [0002] The commonly used interpolation methods in weather radar network observation data processing are: 1) nearest neighbor method; 2) linear interpolation method; 3) Cressman weight method; 4) Barnes method or exponential weight method. The interpolation methods involved in the gridding of image data (often called PPI) obtained by radar observation at a given elevation angle are mainly the nearest neighbor method and bilinear interpolation method. Among them, the nearest neighbor method directly takes the observation value closest to the interpolation point, which takes the least time but has the least interpolation meaning; the bilinear interpolation method uses the distance as the weight to calculate the weighted average of the four observ...

AI Technical Summary

Problems solved by technology

This leads to the absence of some possible strong echo centers on the long-distance echo map. These strong echo centers cannot be displayed when making radar puzzles, which makes the echo appear smoother, which in turn affects the revealing of strong convection. Weather does not affect applications such as assimilation of radar data in numerical prediction models and disaster warnings

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