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Variability of rain microphysics using long-term disdrometer observations

机译:使用长期抑菌观测的雨微物质理的变异性

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This study explores variability of rain microphysics in terms of drop size distributions (DSD) using seven years of Joss-Waldvogel disdrometer data in a long-term perspective. Firstly, self-consistency evaluation of the disdrometer is performed against four raingauges. The result indicates that the disdrometer derived rain totals are in a good agreement to the raingauges with correlation coefficients ranging from 0.89 to 0.99. In addition, a total of 162 415 one-minute filtered raindrop spectra obtained from the disdrometer are fitted to the normalized gamma DSD model to understand DSD variability in different seasonal and atmospheric states. To characterize rain microphysics, four sets of DSDs are created from the entire raindrop spectra - two are based on seasonal "equinox" criteria and the other two are based on wet bulb temperature. It has been revealed that the normalized gamma DSD parameters, N_w, D_m, and μ vary from set to set because of seasonal and atmospheric variability. Finally, radar Z-R relations for the four DSD sets are developed and it is shown that coefficients differ meaningfully from state to state. In particular, the variability is found to be more substantial between those DSDs which have been separated using the wet bulb temperature.
机译:本研究在长期的视角下使用七年的Joss-Waldvogel Discrometer数据探讨了跌落尺寸分布(DSD)的雨微物质理的变异性。首先,对抑菌计的自我一致性评估是针对四个raingauges进行的。结果表明,Distrometer衍生的雨量总计对Raingauges具有良好的关联系数,范围为0.89至0.99。此外,总共162个415分钟从抑制仪获得的雨水蒸质谱配合到标准化的伽马DSD模型,以了解不同季节性和大气状态的DSD变异性。为了表征雨微微物理学,从整个雨坡谱中创建了四组DSD - 两个基于季节性的“昼夜平分”标准,另外两个基于湿灯泡温度。据透露,由于季节性和大气变异性,归一化的伽马DSD参数,N_W,D_M和μ因设定而异。最后,开发了四个DSD集的雷达Z-R关系,结果显示系数与状态有意义地不同。特别地,发现可变性在使用湿灯泡温度分离的那些DSD之间的变化更大。

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