Retrieval of Arbitrarily Shaped Raindrop Size Distributions from Wind Profiler Measurements

Retrieval of Arbitrarily Shaped Raindrop Size Distributions from Wind Profiler Measurements
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从风廓线仪测量中检索任意形状的雨滴尺寸分布

DOI:
10.1175/jtech1705.1
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发表时间:
2005
影响因子:
2.2
通讯作者:
A. Adachi
A. Adachi
中科院分区:
地球科学4区
文献类型:
--
作者:
Takahisa Kobayashi;A. Adachi

文献摘要

被引文献

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摘要针对风廓线仪测得的多普勒光谱,提出了一种有效的任意形状雨滴大小分布迭代反演方法。实测的多普勒谱是降水谱和湍流谱的卷积。多普勒频谱的反卷积是通过重复卷积来实现的。该方法不假设雨滴大小分布的先验形状,自动得到雨滴大小分布;此外,它还可以应用于大数据量。此外,它对初始值不敏感。该方法适用于模拟光谱和观测光谱。所得液滴大小分布与模拟值一致。较窄的湍流谱宽产生较好的结果。估算中位体积直径(D0)、液态水含量(LWC)和雷达反射率因子的积分值,误差小于10%。将该方法应用于风场,可得到精确的雨滴大小分布垂直剖面。
Abstract An efficient iterative retrieval method for arbitrarily shaped raindrop size distributions (ITRAN) is developed for Doppler spectra measured with a wind profiler. A measured Doppler spectrum is a convolution of the precipitation spectrum and the turbulent spectrum. Deconvolution of the Doppler spectra is achieved through repeated convolutions. The developed method assumes no prior shape of drop size distributions and automatically obtains raindrop size distributions; additionally, it can be applied to large data volumes. Furthermore, it is insensitive to initial values. The method was applied to both simulated and observed spectra. Derived drop size distributions agree with simulated values. Narrower turbulent spectral widths yield better results. Integral values of median volume diameter (D0), liquid water content (LWC), and radar reflectivity factor are estimated with errors of less than 10%. Accurate vertical profiles of raindrop size distributions result when this method is applied to wind pr...