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A comparison of ice water content measurement techniques on the FAAM BAe-146 aircraft

机译:FAAM BAe-146飞机上冰水含量测量技术的比较

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This paper presents a comparison of ice water content (q_i) data from a variety of measurement techniques on the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 research aircraft. Data are presented from a range of cloud types measured during the PIKNMIX field experiment that include mixed-phase stratocumulus, cumulus congestus and cirrus clouds. These measurements cover a broad range of conditions in which atmospheric ice particles are found in nature, such as the low-ice-water-content environments typically found in midlatitude cirrus and the environments with much higher ice water content often observed in cold convective clouds. The techniques include bulk measurements from (i) a Nevzorov hot-wire probe, (ii) the difference between the measured total water content (condensed plus vapour) and the water vapour content of the atmosphere and (iii) a counterflow virtual impactor (CVI) (only for cirrus measurements). We also estimate the q_i from integration of the measured particle size distribution (PSD) with assumptions on how the density of ice particles varies as a function of size. The results show that the only bulk ice water content technique capable of measuring high q_i values (several g m~(-3)) was the method of total water content minus water vapour. For low ice water contents we develop a new parametrisation of the Nevzorov baseline drift that enables the probe to be sensitive to q_i ± 0.002 g m~(-3). In cirrus clouds the agreement between the Nevzorov and other bulk measurements was typically better than a factor of 2 for the CVI (q_i > 0.008 gm~(-3)) and the method of total water content minus water vapour (q_i > 0.02 gm~(-3)). Good agreement with the bulk measurements for all cases could be obtained with the estimate from the PSD provided that appropriate a priori assumptions on the mass-dimension relationship were made. This is problematic in the convective clouds sampled because pristine ice particles, heavily rimed particles and supercooled liquid drops were all present. In a cirrus case, we show that using a temperature-dependent mass-dimension relation was required to match the bulk measurement of q_i.
机译:本文对机载大气测量设施(FAAM)BAe-146研究飞机上各种测量技术中的冰水含量(q_i)数据进行了比较。数据来自PIKNMIX野外试验期间测得的一系列云类型,包括混合相层积云,积云和卷云。这些测量涵盖了在自然界中发现大气冰粒的各种条件,例如中纬度卷云中常见的低冰水含量环境以及在冷对流云中经常观察到的冰水含量高得多的环境。该技术包括通过(i)内夫佐洛夫(Nevzorov)热线探针进行批量测量,(ii)测得的总水含量(冷凝水和蒸气)与大气中水蒸气含量之间的差,以及(iii)逆流虚拟撞击器(CVI )(仅用于卷云测量)。我们还根据测得的粒径分布(PSD)的积分估算q_i,并假设冰粒的密度如何随尺寸变化。结果表明,唯一能够测量高q_i值(几g m〜(-3))的大块冰水含量技术是总水含量减去水蒸气的方法。对于低冰水含量,我们开发了Nevzorov基线漂移的新参数化,使探头对q_i±0.002 g m〜(-3)敏感。在卷云中,对于CVI(q_i> 0.008 gm〜(-3))和总含水量减去水蒸气的方法(q_i> 0.02 gm〜),Nevzorov与其他体积测量值之间的一致性通常优于2倍。 (-3))。如果对质维关系做出了适当的先验假设,则可以通过PSD的估算获得与所有情况下的批量测量结果良好的一致性。在采样的对流云中,这是有问题的,因为原始的冰颗粒,重边缘的颗粒和过冷的液滴都存在。在卷云情况下,我们表明需要使用温度相关的质量维关系来匹配q_i的体积测量。

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