Time-resolved measurements of the densities of individual frozen hydrometeors and fresh snowfall

IF 3.2 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Dhiraj K. Singh, Eric R. Pardyjak, Timothy J. Garrett
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Abstract

Abstract. It is a challenge to obtain accurate measurements of the microphysical properties of delicate, structurally complex, frozen, and semi-frozen hydrometeors. We present a new technique for the real-time measurement of the density of freshly fallen individual snowflakes. A new thermal-imaging instrument, the Differential Emissivity Imaging Disdrometer (DEID), has been shown through laboratory and field experiments to be capable of providing accurate estimates of individual snowflake and bulk snow hydrometeor density (which can be interpreted as the snow-to-liquid ratio or SLR). The method exploits the rate of heat transfer during the melting of a hydrometeor on a heated metal plate, which is a function of the temperature difference between the hotplate surface and the top of the hydrometeor. The product of the melting speed and melting time yields an effective particle thickness normal to the hotplate surface, which can then be used in combination with the particle mass and area on the plate to determine a particle density. Uncertainties in estimates of particle density are approximately 4 % based on calibrations with laboratory-produced particles made from water and frozen solutions of salt and water and field comparisons with both high-resolution imagery of falling snow and traditional snowpack density measurements obtained at 12 h intervals. For 17 storms, individual particle densities vary from 19 to 495 kg m−3, and storm mean snow densities vary from 40 to 100 kg m−3. We observe probability distribution functions for hydrometeor density that are nearly Gaussian with kurtosis of ≈ 3 and skewness of ≈ 0.01.
对单个冰冻水文介质和新降雪的密度进行时间分辨测量
摘要要精确测量结构复杂的冰冻和半冰冻水介质的微物理性质是一项挑战。我们介绍了一种实时测量刚落下的单片雪花密度的新技术。通过实验室和现场实验证明,一种新型热成像仪器--差分发射率成像仪(DEID)能够准确估算单片雪花和大块雪水流体的密度(可解释为雪液比或 SLR)。该方法利用了水流星在加热金属板上融化时的传热速率,该速率是热板表面与水流星顶部之间温度差的函数。熔化速度与熔化时间的乘积可得出沿加热板表面法线方向的有效颗粒厚度,然后将其与颗粒质量和板上面积结合使用,即可确定颗粒密度。颗粒密度估算值的不确定性约为 4%,这是用实验室生产的由水和盐及水的冷冻溶液制成的颗粒进行校准,以及与高分辨率降雪图像和以 12 小时间隔获得的传统雪堆密度测量结果进行实地比较后得出的结果。在 17 次暴风雪中,单个颗粒密度从 19 kg m-3 到 495 kg m-3 不等,暴风雪平均密度从 40 kg m-3 到 100 kg m-3 不等。我们观察到水流密度的概率分布函数接近高斯分布,峰度≈3,偏度≈0.01。
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来源期刊
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
7.10
自引率
18.40%
发文量
331
审稿时长
3 months
期刊介绍: Atmospheric Measurement Techniques (AMT) is an international scientific journal dedicated to the publication and discussion of advances in remote sensing, in-situ and laboratory measurement techniques for the constituents and properties of the Earth’s atmosphere. The main subject areas comprise the development, intercomparison and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.
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