Impacts of sampling and storm-motion estimates on RUC/RAP-based discriminations of nontornadic and tornadic supercell environments

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
M. Coniglio, Richard L. Thompson
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Abstract

This study explores reasons for differences in discriminations of nontornadic and tornadic supercell environments between a recent study of field project (FP) radiosonde observations and RUC/RAP-based studies. Two differences are explored: 1) differences in relative skill between near-ground and deeper-layer storm-relative helicity (SRH) and 2) differences in skill for storm-relative winds (SRWs) seen in observed soundings that are not seen in RUC/RAP-based analyses. Results show that RUC/RAP-derived near-ground SRH continues to show larger skill than deeper-layer SRH for springtime, afternoon/evening cases over the plains (the “FP” domain), although 0-1-km SRH becomes more skillful than 0–500 m SRH. The skill of kinematic variables decreases over the FP domain, as the skill of mixed-layer CAPE (MLCAPE) and the percent of the low-level horizontal vorticity that is streamwise increases for significant tornadoes. Large skill is found for mean ground-relative winds (GRWs) over all layers tested, but the skill of SRWs using Bunkers motion is relatively small. The field project dataset is shown to be biased toward particularly high-end nontornadic supercells, with more tornado-favorable mixed-layer lifted condensation levels (MLLCLs), lapse rates, and low-level shear/SRH compared to the nontornadic cases in the RUC/RAP dataset over the FP domain. The skill of deeper-layer SRH, GRWs, SRWs, and MLCAPE are unusually large in the field project sample, which highlights variables that may increase the likelihood of tornadoes when other variables that relate to supercell tornado production (low-level shear/SRH and MLLCLs) are already in a tornado-favorable range. The skill of deeper-layer kinematic variables is particularly evident when observed storm motions are used instead of Bunkers motion.
取样和风暴运动估计值对基于 RUC/RAP 的非龙卷风和龙卷风超级暴风环境判别的影响
本研究探讨了最近对实地项目(FP)无线电探空仪观测数据的研究与基于 RUC/RAP 的研究在区分非龙卷风和龙卷风超级暴风环境方面存在差异的原因。本文探讨了两种差异:1)近地面和深层风暴相关切变(SRH)之间相对技能的差异;2)基于 RUC/RAP 的分析中看不到的观测探空数据中风暴相关风(SRW)技能的差异。结果表明,在平原地区("FP "域)春季、下午/傍晚的情况下,RUC/RAP 得出的近地面 SRH 继续比深层 SRH 显示出更大的技能,尽管 0-1 千米 SRH 比 0-500 米 SRH 更有技能。在 "FP "域中,运动变量的技能有所降低,而混合层 CAPE(MLCAPE)和低层水平涡度在显著龙卷风中的流向百分比的技能则有所提高。在所有测试层中,平均地面相对风(GRWs)的技能都很高,但使用 Bunkers 运动的 SRWs 技能相对较低。结果表明,实地项目数据集偏向于特别高端的非龙卷风超级暴风,与RUC/RAP数据集中的FP域上空的非龙卷风案例相比,其混合层抬升凝结水平(MLLCLs)、失效率和低层切变/SRH更有利于龙卷风。在实地项目样本中,深层 SRH、GRWs、SRWs 和 MLCAPE 的技能异常高,这突出表明,当与超级龙卷风生成有关的其他变量(低层切变/SRH 和 MLLCLs)已经处于对龙卷风有利的范围时,这些变量可能会增加龙卷风发生的可能性。当使用观测到的风暴运动而不是 Bunkers 运动时,深层运动变量的技能尤其明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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