Abstract
Abstract This paper compares two different analysis approaches for dual-frequency (VHF and UHF) wind profiler precipitation retrievals. The first technique is based on a general deconvolution process to remove broadening effects from the Doppler spectra due to turbulence and finite radar beamwidth. The second technique is based on a nonlinear least squares fitting approach, where an analytical function that describes the drop size distribution is convolved with a clear air distribution to model the broadening of the observed spectra. These techniques are tested with simulated data, where the true drop size distribution is known and represented by a gamma or exponential distribution, and with observations. The median volume diameter D0, which is based on the third moment of the drop size number distribution, is used to test these retrieval techniques. This parameter is closely related to the rain rate, which is approximately the 3.67th moment of the drop size number distribution. Methods for extracting D0 ...
Published Version
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