利用无线电探空仪观测数据评估 QLCS 中气流预报的 "三要素法"

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Weather and Forecasting Pub Date : 2023-12-01 DOI:10.1175/waf-d-22-0176.1
Max D. Ungar, M. Coniglio
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引用次数: 0

摘要

一种被广泛用于预测QLCS中涡旋潜力的技术被称为“三成分法”(3IM)。3IM指出,在以下情况下有利于中涡旋:1)QLCS冷池和环境低层切变接近平衡或占主导地位;2)与对流线垂直的0 - 3 km风切变分量≥30 kt (1 kt≈0.51 m s - 1); 3)后入流急流或增强的流出引起对流线上的浪涌或弯曲。尽管在操作环境中广泛使用,但这种方法在正式文献中几乎没有得到评价。为了评估3IM,将无线电探空观测与雷达观测的QLCS特性进行了比较。在50个观测到的qlcs内的1820个线段中,分别评估了阵风锋与主要对流线上高反射率之间的距离(“u - r距离”)、后入流涌流的存在以及中涡旋(mv)。虽然0 - 3 km线法风切变在mv生成段和零段之间存在统计学差异,但44%的mv生成段的值≤30 kt。0 - 6 km线正常风切变也显示出MV发生段和零段之间的强烈区别,并且在测试层之间显示出u - r距离(系统平衡的度量)的最佳线性关系,尽管分布中的分散和重叠表明许多因素可以影响MV发生(如预期的那样)。总体而言,大多数mv发生在u - r距离在- 5 - 5 km之间,存在后入流浪涌,伴随着正0 - 1 km风切变,0 - 3 km风切变> 10 kt, 0 - 6 km风切变> 20 kt(均为线法向)。在雷暴线的前沿附近,可以产生龙卷风和强风的旋转区域(“中涡旋”)经常迅速发展。尽管对中涡旋的理解有所进步,但很少有可操作的指导方针来预测它们的起源。本研究评估了一种常用的中涡旋预测方法——“三成分法”。我们的研究证实了其中两个因素的重要性——外流风的涌动和几乎停留在外流前缘上方的雷暴。然而,我们发现许多中涡旋发生在低层风切变的阈值以下。在此基础上提出了改进方法的建议,包括考虑外流锋面与雷暴上升气流之间的有利距离和多层风切变的下限,在此下限以下可能不太可能出现中涡旋。
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Using Radiosonde Observations to Assess the “Three Ingredients Method” to Forecast QLCS Mesovortices
A technique used widely to forecast the potential for QLCS mesovortices is known as the “Three Ingredients Method” (3IM). The 3IM states that mesovortices are favored where 1) the QLCS cold pool and ambient low-level shear are said to be nearly balanced or slightly shear dominant, 2) where the component of the 0–3-km wind shear normal to the convective line is ≥30 kt (1 kt ≈ 0.51 m s−1), and 3) where a rear-inflow jet or enhanced outflow causes a surge or bow along the convective line. Despite its widespread use in operational settings, this method has received little evaluation in formal literature. To evaluate the 3IM, radiosonde observations are compared to radar-observed QLCS properties. The distance between the gust front and high reflectivity in the leading convective line (the “U-to-R distance”), the presence of rear-inflow surges, and mesovortices (MVs) were each assessed across 1820 line segments within 50 observed QLCSs. Although 0–3-km line-normal wind shear is statistically different between MV-genesis and null segments, values are ≤30 kt for 44% of MV-genesis segments. The 0–6-km line-normal wind shear also shows strong discrimination between MV-genesis and null segments and displays the best linear relationship of the U-to-R distance (a measure of system balance) among layers tested, although the scatter and overlap in distributions suggest that many factors can impact MV genesis (as expected). Overall, most MVs occur where the U-to-R distance lies between −5 and 5 km in the presence of a rear-inflow surge, along with positive 0–1-km wind shear, 0–3-km wind shear > 10 kt, and 0–6-km wind shear > 20 kt (all line-normal). Near the leading edge of thunderstorm lines, areas of rotation that can produce tornadoes and strong winds (“mesovortices”) often develop rapidly. Despite advances in understanding mesovortices, few operational guidelines exist to anticipate their genesis. One popular method used to forecast mesovortices—the “Three Ingredients Method”—is evaluated in this study. Our work confirms the importance of two of the ingredients—a surge of outflow winds and thunderstorms that stay nearly atop the leading edge of the outflow. However, we find that many mesovortices occur below the threshold of low-level wind shear ascribed by the forecast method. Refinements to the method are suggested, including the favorable distance between the leading edge of the outflow and thunderstorm updrafts and lower bounds of wind shear over multiple layers, below which mesovortices may be unlikely.
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来源期刊
Weather and Forecasting
Weather and Forecasting 地学-气象与大气科学
CiteScore
5.20
自引率
17.20%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.
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