ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
A new method for cloud radar Doppler spectral denoising and its application in cloud physics retrievals
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Abstract:
Doppler spectral is the Ka-band cloud radar original data. Based on the consistency difference between cloud-precipitation signal and the ‘ghost echo’ along with other noise signals in different Doppler spectral modes, this study used the difference between short-pulse and long-pulse modes to determine the cloud signal boundary for the first time. The ‘ghost echo’ was removed and the cloud signal boundary was used to calculated the noise level, forming a new denoising method. In addition, the sensitivity of cloud signal boundary changing with the difference threshold T was analyzed. Based on the small particle tracer method, the left cloud signal boundary after denoising was used to calculate the vertical air velocity. Two rainfall (snow) cases in Beijing were analyzed and compared with the in-situ aircraft observation results of the vertical air velocity. It was verified that the new denoising method can effectively remove the ‘ghost echo’. Although a certain percentage deviation existed between the average vertical air velocity obtained by cloud radar and aircraft. The direction and magnitude corresponded well in general. This method and the retrieved results were reasonable.
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