Exploring the Composited T-28 Hailstorm Penetration Dataset to Characterize Hail Properties within the Updraft and Downdraft Regions

IF 2.6 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Andrew J. Heymsfield, Micael A. Cecchini, Andrew Detwiler, Ryan Honeyager, Paul Field
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Abstract

Abstract Measurements from the South Dakota School of Mines and Technology T-28 hail-penetrating aircraft are analyzed using recently developed data processing techniques with the goals of identifying where the large hail is found relative to vertical motion and improving the detection of hail microphysical properties from radar. Hail particle size distributions (PSD) and environmental conditions (temperature, relative humidity, liquid water content, air vertical velocity) were digitally collected by the T28 between 1995 and 2003 and synthesized by Detwiler et al. (2012). The PSD were forward-modeled by Cecchini et al. (2022) to simulate the radar reflectivity of the PSD at multiple radar wavelengths. The T-28 penetrated temperatures primarily between 0 and −10 °C. The largest hailstones were sampled near the updraft/downdraft interface. Liquid water contents were highest in the updraft cores, whereas total (liquid + frozen) water contents were highest near the updraft/downdraft interface. The fitted properties of the PSD, intercept and slope, are directly related to each other, but do not show any dependence on the region of the hailstorm where sampled. The PSD measurements and the radar reflectivity calculations at multiple radar wavelengths facilitated the development of relationships between the PSD bulk properties—hail kinetic energy and kinetic energy flux—and the radar reflectivity. Rather than using the oft-assumed sphericity and solid ice physical properties, actual measurements of hail properties are used in the analysis. Results from the maximum estimated size of hail (MESH) and vertical integrated liquid water (VIL) algorithms are evaluated based on this analysis.
利用T-28复合冰雹穿透数据集表征上升和下降气流区域的冰雹特性
利用最新开发的数据处理技术,对南达科他州矿业与技术学院T-28破雹机的测量结果进行了分析,目的是确定相对于垂直运动发现大冰雹的位置,并改进雷达对冰雹微物理特性的检测。冰雹粒径分布(PSD)和环境条件(温度、相对湿度、液态水含量、空气垂直速度)由T28在1995 - 2003年间进行数字化采集,并由Detwiler等(2012)进行合成。Cecchini等人(2022)对PSD进行了正演模拟,模拟了PSD在多个雷达波长下的雷达反射率。T-28穿透的温度主要在0到- 10°C之间。最大的冰雹在上升气流/下降气流界面附近取样。液态水含量在上升气流核心处最高,而总(液体+冷冻)水含量在上升/下降气流界面附近最高。PSD的拟合性质,截距和斜率,彼此直接相关,但不显示任何依赖于冰雹取样的区域。在多个雷达波长下的PSD测量和雷达反射率计算促进了PSD体特性(冰雹动能和动能通量)与雷达反射率之间关系的发展。而不是使用通常假设的球形和固体冰的物理性质,冰雹性质的实际测量在分析中使用。在此基础上,对最大估计冰雹大小(MESH)算法和垂直综合液态水(VIL)算法的结果进行了评价。
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来源期刊
Journal of Applied Meteorology and Climatology
Journal of Applied Meteorology and Climatology 地学-气象与大气科学
CiteScore
5.10
自引率
6.70%
发文量
97
审稿时长
3 months
期刊介绍: The Journal of Applied Meteorology and Climatology (JAMC) (ISSN: 1558-8424; eISSN: 1558-8432) publishes applied research on meteorology and climatology. Examples of meteorological research include topics such as weather modification, satellite meteorology, radar meteorology, boundary layer processes, physical meteorology, air pollution meteorology (including dispersion and chemical processes), agricultural and forest meteorology, mountain meteorology, and applied meteorological numerical models. Examples of climatological research include the use of climate information in impact assessments, dynamical and statistical downscaling, seasonal climate forecast applications and verification, climate risk and vulnerability, development of climate monitoring tools, and urban and local climates.
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