{"title":"垂直指向雷达观测到的冻结水流星终端落体速度与粒子习性和边缘的关系","authors":"S. Matrosov","doi":"10.1175/jamc-d-23-0002.1","DOIUrl":null,"url":null,"abstract":"\nVertically-pointing Ka-band radar measurements are used to derive fall velocity – reflectivity factor (Vt=aZeb) relations for frozen hydrometeor populations of different habits during snowfall events observed at Oliktok Point, Alaska, and at the multidisciplinary drifting observatory for study of Arctic climate (MOSAiC). Case study events range from snowfall with highly rimed particles observed during periods with large amounts of supercooled liquid water path (LWP > 320 g m-2) to unrimed snowflakes including instances when pristine planar crystals were the dominant frozen hydrometeor habit. The prefactor a and the exponent b in the observed Vt –Ze relations scaled to the sea level vary in the approximate ranges 0.5 – 1.4 and 0.03 – 0.13, respectively (reflectivities are in mm6m-3 and velocities are in m s-1). The coefficient a values are the smallest for planar crystals (a~0.5) and the largest (a>1.2) for particles under severe riming conditions with high LWP. There is no clear distinction between b values for high and low LWP conditions. The range of the observed Vt –Ze relation coefficients is in general agreement with results of modeling using fall velocity – size (vt =αDβ) relations for individual particles found in literature for hydrometeors of different habits, though there is significant variability in α and β coefficients from different studies even for a same particle habit. Correspondences among coefficients in the Vt –Ze relations for particle populations and in the individual particle vt–D relations are analyzed. These correspondences and the observed Vt –Ze relations can be used for evaluating different frozen hydrometeor fall velocity parameterizations in models.","PeriodicalId":15027,"journal":{"name":"Journal of Applied Meteorology and Climatology","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Frozen hydrometeor terminal fall velocity dependence on particle habit and riming as observed by vertically-pointing radars\",\"authors\":\"S. 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The coefficient a values are the smallest for planar crystals (a~0.5) and the largest (a>1.2) for particles under severe riming conditions with high LWP. There is no clear distinction between b values for high and low LWP conditions. The range of the observed Vt –Ze relation coefficients is in general agreement with results of modeling using fall velocity – size (vt =αDβ) relations for individual particles found in literature for hydrometeors of different habits, though there is significant variability in α and β coefficients from different studies even for a same particle habit. Correspondences among coefficients in the Vt –Ze relations for particle populations and in the individual particle vt–D relations are analyzed. 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引用次数: 0
摘要
垂直指向Ka波段雷达测量用于推导在阿拉斯加Oliktok Point和北极气候研究多学科漂移观测站(MOSAiC)观测到的降雪事件期间不同习惯的冰冻水文气象种群的下降速度-反射率因子(Vt=aZeb)关系。案例研究事件包括在大量过冷液态水路径(LWP>320 g m-2)期间观察到的具有高度聚合颗粒的降雪,以及未成熟的雪花,包括原始平面晶体是主要冷冻水文气象习惯的情况。观测到的与海平面成比例的Vt–Ze关系中的前置因子a和指数b分别在0.5–1.4和0.03–0.13的近似范围内变化(反射率以mm6m-3为单位,速度以m s-1为单位)。在具有高LWP的严重边缘条件下,平面晶体的系数a最小(a~0.5),颗粒的系数a最大(a>1.2)。对于高和低LWP条件,b值之间没有明显的区别。观测到的Vt–Ze关系系数的范围与文献中发现的不同习性的水文气象器的单个颗粒的下落速度-大小(Vt=αDβ)关系的建模结果基本一致,尽管即使对于相同的颗粒习性,不同研究的α和β系数也存在显著差异。分析了粒子群的Vt–Ze关系和单个粒子Vt–D关系中系数之间的对应关系。这些对应关系和观测到的Vt–Ze关系可用于评估模型中不同的冻结水文气象降落速度参数化。
Frozen hydrometeor terminal fall velocity dependence on particle habit and riming as observed by vertically-pointing radars
Vertically-pointing Ka-band radar measurements are used to derive fall velocity – reflectivity factor (Vt=aZeb) relations for frozen hydrometeor populations of different habits during snowfall events observed at Oliktok Point, Alaska, and at the multidisciplinary drifting observatory for study of Arctic climate (MOSAiC). Case study events range from snowfall with highly rimed particles observed during periods with large amounts of supercooled liquid water path (LWP > 320 g m-2) to unrimed snowflakes including instances when pristine planar crystals were the dominant frozen hydrometeor habit. The prefactor a and the exponent b in the observed Vt –Ze relations scaled to the sea level vary in the approximate ranges 0.5 – 1.4 and 0.03 – 0.13, respectively (reflectivities are in mm6m-3 and velocities are in m s-1). The coefficient a values are the smallest for planar crystals (a~0.5) and the largest (a>1.2) for particles under severe riming conditions with high LWP. There is no clear distinction between b values for high and low LWP conditions. The range of the observed Vt –Ze relation coefficients is in general agreement with results of modeling using fall velocity – size (vt =αDβ) relations for individual particles found in literature for hydrometeors of different habits, though there is significant variability in α and β coefficients from different studies even for a same particle habit. Correspondences among coefficients in the Vt –Ze relations for particle populations and in the individual particle vt–D relations are analyzed. These correspondences and the observed Vt –Ze relations can be used for evaluating different frozen hydrometeor fall velocity parameterizations in models.
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.