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Evaluating the capabilities and uncertainties of droplet measurements for the fog droplet spectrometer (FM-100)

机译:评估雾滴光谱仪(FM-100)的液滴测量能力和不确定性

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摘要

Droplet size spectra measurements are crucial to obtain a quantitativemicrophysical description of clouds and fog. However, cloud droplet sizemeasurements are subject to various uncertainties. This work focuses on theerror analysis of two key measurement uncertainties arising during cloud dropletsize measurements with a conventional droplet size spectrometer (FM-100):first, we addressed the precision with which droplets can besized with the FM-100 on the basis of the Mie theory. We deduced errorassumptions and proposed a new method on how to correct measured size distributions for theseerrors by redistributing the measured droplet size distribution using astochastic approach. Second, based on a literature study, we summarizedcorrections for particle losses during sampling with the FM-100. We appliedboth corrections to cloud droplet size spectra measured at the high alpinesite Jungfraujoch for a temperature range from 0 °C to 11 °C.We showed that Mie scattering led to spikes in the droplet sizedistributions using the default sizing procedure, while the new stochasticapproach reproduced the ambient size distribution adequately. A detailedanalysis of the FM-100 sampling efficiency revealed that particle losses weretypically below 10% for droplet diameters up to 10 μm. For largerdroplets, particle losses can increase up to 90% for the largest dropletsof 50 μm at ambient wind speeds below 4.4 m s and even to>90% for larger angles between the instrument orientation and the windvector (sampling angle) at higher wind speeds. Comparisons of the FM-100 toother reference instruments revealed that the total liquid water content(LWC) measured by the FM-100 was more sensitive to particle losses than tore-sizing based on Mie scattering, while the total number concentration wasonly marginally influenced by particle losses. Consequently, for furtherLWC measurements with the FM-100 we strongly recommend to consider (1) theerror arising due to Mie scattering, and (2) the particle losses, especiallyfor larger droplets depending on the set-up and wind conditions.
机译:液滴尺寸光谱测量对于获得云雾的定量微物理描述至关重要。但是,云滴尺寸测量存在各种不确定性。这项工作着重于对使用常规液滴尺寸光谱仪(FM-100)进行云滴尺寸测量过程中出现的两个关键测量不确定度的误差分析:首先,我们介绍了基于Mie的FM-100可以确定液滴尺寸的精度理论。我们推导了误差假设,并提出了一种新的方法,该方法通过使用随机方法重新分配测得的液滴尺寸分布来校正这些误差的测得尺寸分布。其次,基于文献研究,我们总结了使用FM-100进行采样时颗粒损失的校正方法。我们对温度在0°C至11°C的高寒山峰少女峰处测得的云滴尺寸谱进行了校正,结果表明,使用默认的上浆程序,米氏散射导致液滴尺寸分布出现尖峰,而新的stochasticapproach再现了环境尺寸分布充分。 FM-100采样效率的详细分析显示,对于直径最大为10μm的液滴,颗粒损失通常低于10%。对于较大的液滴,在低于4.4 m s的环境风速下,对于50μm的最大液滴,颗粒损失最多可增加90%,而对于在较高风速下仪器方向和风向之间的较大角度(采样角度),颗粒损失甚至可增加至90%以上。 FM-100与其他参考仪器的比较表明,FM-100测量的总液态水含量(LWC)对颗粒损失的敏感性高于基于Mie散射的尺寸调整,而总浓度仅受到颗粒的少量影响损失。因此,对于使用FM-100进行的进一步LWC测量,我们强烈建议考虑(1)由Mie散射引起的误差,以及(2)颗粒损失,特别是对于较大的液滴,具体取决于设置和风况。

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