Doppler power spectrum data fusion method and device for cloud radar

Abstract

The invention provides a Doppler power spectrum data fusion method and device for a cloud radar. The method comprises the steps of performing fuzzy correction on N groups of Doppler power spectrum data in N observation modes, performing unit conversion and data interpolation on the N groups of Doppler power spectrum data undergoing fuzzy correction, selecting, according to pre-stored quality control parameters, available Doppler power spectrum data in each observation mode from N groups of Doppler power spectrum data undergoing unit conversion and data interpolation, so as to obtain N groups of available Doppler power spectrum data, wherein quality control parameters comprise a maximum detection range, a minimum detecting range, a signal to noise ratio oversaturation threshold, a flexibility threshold and a speed error threshold; and determining data of each spectral point of the Doppler power spectrum from the N groups of available Doppler power spectrum data, so as to obtain fused Doppler power spectrum data. Multiple groups of Doppler power spectrum data obtained after cloud measurement in different observation modes can be fused.

Description

technical field [0001] The present application relates to the technical field of meteorological observation, in particular to a cloud radar Doppler power spectrum data fusion method and device. Background technique [0002] Cloud is an important process of transforming into precipitation, an important reason for affecting the climate, and the main object of artificially affecting the weather, so it is a very important element in meteorological observation. Cloud radar is an important means of observing clouds. In order to achieve the purpose of perennial observation, cloud radars in my country usually use solid-state transmitters at present. However, due to the limited transmission power of cloud radars with solid-state transmitters, in order to improve the detection accuracy of cloud radars, at the same time reduce the For small observation blind areas, multiple observation modes such as different pulse widths, different coherent and non-coherent accumulations must be used, ...

AI Technical Summary

Problems solved by technology

[0003] Among the different observation modes adopted by cloud radar, the observation mode with the highest sensitivity can observe weak clouds in the upper layers, but there is a large blind area in the lower layers, and there is also the problem of false echoes in the range side lobes of the data. Because of the coherent accumulation, its The corresponding maximum radial velocity value is also relatively small, and the problem of partial ambiguity of the radial velocity often occurs

The observation mode with relatively low sensitivity can observe the cloud precipitation in the lower layer well, but the observation ability of weak clouds is relatively poor, and there are usually missing measurements.

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