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A modified method with a new noise reduction scheme that can reducethe noise distribution to a narrow range is proposed to distinguish cloudsand other hydrometeors from noise and recognize more features with weaksignal in cloud radar observations. A spatial filter with central weighting,which is widely used in cloud radar hydrometeor detection algorithms, is alsoapplied in our method to examine radar return for significant levels ofsignals. <q>Square clouds</q> were constructed to test our algorithm and themethod used for the US Department of Energy Atmospheric RadiationMeasurements Program millimeter-wavelength cloud radar. We also applied boththe methods to 6 months of cloud radar observations at the Semi-AridClimate and Environment Observatory of Lanzhou University and compared theresults. It was found that our method has significant advantages in reducingthe rates of both failed negative and false positive hydrometeoridentifications in simulated clouds and recognizing clouds with weak signalfrom our cloud radar observations

An improved hydrometeor detection method for millimeter-wavelength cloud radar