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首页> 外文期刊>Journal of atmospheric and oceanic technology >Nonparametric Estimation of Raindrop Size Distributions from Dual-Polarization Radar Spectral Observations
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Nonparametric Estimation of Raindrop Size Distributions from Dual-Polarization Radar Spectral Observations

机译：基于双极化雷达光谱观测的雨滴尺寸分布的非参数估计

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摘要

This paper presents a method to retrieve raindrop size distributions (DSD) from slant profile dual-polarization Doppler spectra observations. It is shown that using radar measurements taken at a high elevation angle raindrop size distributions can be retrieved without making an assumption on the form of a DSD. In this paper it is shown that drop size distributions can be retrieved from Doppler power spectra by compensating for the effect of spectrum broadening and mean velocity shift. To accomplish that, spectrum deconvolution is used where the spectral broadening kernel width and wind velocity are estimated from spectral differential reflectivity measurements. Since convolution kernel is estimated from dual-polarization Doppler spectra observations and does not require observation of a clear-air signal, this method can be used by most radars capable of dual-polarization spectra measurements. To validate the technique, sensitivity of this method to the underlying assumptions and calibration errors is evaluated on realistic simulations of radar observations. Furthermore, performance of the method is illustrated on Colorado State University-University of Chicago-Illinois State Water Survey radar (CSU-CHILL) measurements of stratiform precipitation.
机译：本文提出了一种从倾斜剖面双极化多普勒光谱观测中检索雨滴大小分布（DSD）的方法。结果表明，使用雷达在高仰角测量的雨滴大小分布可以被检索，而无需假设DSD的形式。本文表明，可以通过补偿频谱展宽和平均速度偏移的影响，从多普勒功率谱中检索液滴大小分布。为此，使用了光谱反卷积，其中根据光谱差分反射率测量值估算光谱加宽的核宽度和风速。由于卷积核是根据双极化多普勒频谱观测估计的，并且不需要观测晴空信号，因此该方法可用于大多数能够进行双极化频谱测量的雷达。为了验证该技术，在现实的雷达观测模拟中评估了该方法对基本假设和校准误差的敏感性。此外，该方法的性能在科罗拉多州立大学-芝加哥-伊利诺伊州立大学水调查雷达（CSU-CHILL）的层状降水测量中得到了说明。

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