Wind profile radar signal processing method

Abstract

The invention discloses a wind profile radar signal processing method. The method comprises the following steps: S1, collecting original power spectrum data of a wind profile radar; s2, performing basic processing on the original power spectrum data acquired in the step S1; s3, the power spectrum data subjected to basic processing in the step S2 are subjected to wave crest position identification and weather significance judgment, and the wave crest position and intensity of a signal spectrum with weather significance are recorded; and S4, turbulence signal identification is carried out on the signal spectrum with meteorological significance in the step S3. The wind profile radar signal processing method provided by the invention not only solves the problem of data missing in the rainfall period in the existing algorithm, but also verifies the reliability of the method for inverting the horizontal wind field.

Description

technical field [0001] The invention relates to the technical field of meteorological prediction, in particular to a wind profile radar signal processing method. Background technique [0002] Due to its high temporal and spatial resolution, wind profiler radar has become an important reference tool for short-term nowcasting. Existing domestic wind profiler radars use five-beam detection, including a vertical beam and oblique beams uniformly distributed in four directions, pointing to the zenith, east, south, west, and north directions respectively, and the zenith angle of the oblique beam About 15°. according to Figure 1a The spatial geometric relationship between the three-dimensional wind field and the radial velocity can be obtained as the following formula (1): [0003] [0004] The above formula (1) is also the radial velocity The expression about the three components of wind field u, v, w; where is the radial velocity, u, v, w are the three components of the ...

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Problems solved by technology

[0013] At present, there are few domestic and foreign studies on the interference of the wind profiler radar power spectrum by precipitation, and it has certain limitations. Spectrum width, etc. to judge whether the data is polluted by precipitation, but there is no effective quality control for the data polluted by precipitation; some technicians have carried out data filling and Reprocessing, but it cannot solve the demand for wind profile radar data in the forecast and early warning business; some technicians use the lowest point of the connection between the two peaks of the precipitation spectrum and the turbulence spectrum in the power spectrum of the returned signal to segment the two, but this separation The method often has large errors; some technicians identify and separate the turbulence spectrum from the mixed and superimposed power spectrum according to the statistical principle that the turbulence spectrum and the precipitation spectrum in the original power spectrum tend to be Gaussian when the number of spectral averages is sufficient. field inversion, which improves the quality of wind field inversion, but this method ignores the situation of "multiple peak spectrum" (multiple peaks appear in the power spectrum)

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