在弱天气尺度强迫下,土地利用、地形、前期降雨和大气条件对夏季对流风暴启动的中尺度影响

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Christopher Tracy, John R. Mecikalski
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引用次数: 0

摘要

在整个夏季,美国东南部在弱天气支持(如弱风切变)的白天会大量发生孤立对流。围绕这一前提,开展了一个涉及地理和气象特征的双夏季有限区域CI事件案例研究。本研究的目的是帮助解释弱天气环境下SEUS夏季CI,这可以提高CI的可预测性。结果表明:空间CI出现非随机事件模式,正午高海拔地区CI事件密度较大;当天晚些时候,随着其他机制/因素的出现(如城市热岛),总体CI事件计数下降。在CI发生的地方,之前的降雨量、不稳定性和湿度特征也平均较高。在随机森林特征重要性分析中,海拔是决定下午早期到中午CI事件的最重要变量,而之前的降雨量和风向始终在排列重要性中排名最高。尽管统计信号不明显,但累积的结果表明,CI事件发生的一定程度的空间聚类跨越了研究领域,作为白天加热和特征对增强CI概率的贡献的函数(例如,差异加热,中尺度热环流)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mesoscale influences of land use, topography, antecedent rainfall, and atmospheric conditions on summertime convective storm initiation under weak synoptic scale forcing
Abstract Throughout the summer months in the Southeast United States, the initiation of isolated convection can occur abundantly during the daytime with weak synoptic support (e.g., weak wind shear). Centered around this premise, a dual-summer, limited area case study of CI events concerning both geographical and meteorological features was conducted. The goal of this study was to help explain SEUS summertime CI in weak synoptic environments, which can enhance CI predictability . Results show that spatial CI non-randomness event patterns arise, with greater CI event density appearing over high elevation by midday. Later in the day, overall CI event counts subside with other mechanisms/factors emerging (e.g., urban heat island). Antecedent rainfall, instability, and moisture features are also higher on average where CI occurred. In a random forest feature importance analysis, elevation was the most important variable in dictating CI events in the early to mid-afternoon while antecedent rainfall and wind direction consistently rank highest in permutation importance. The results cumulatively allude to, albeit in a muted, non-significant statistical signal, and a degree of spatial clustering of CI event occurrences cross the study domain as a function of daytime heating and contributions of features to enhancing CI probabilities (e.g., differential heating, mesoscale thermal circulations).
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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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