Bulk cloud microphysical properties as seen from numerical simulation and remote sensing products: case study of a hailstorm event over the La Plata Basin

IF 3.6 4区 地球科学 Q1 Earth and Planetary Sciences Journal of Southern Hemisphere Earth Systems Science Pub Date : 2024-05-01 DOI:10.1071/es23006
Angel Liduvino Vara-Vela, Natália Machado Crespo, Éder Paulo Vendrasco, Noelia Rojas Benavente, Marcos Vinicius Bueno de Morais, Jorge Alberto Martins, Vaughan Trevor James Phillips, Fabio Luiz Teixeira Gonçalves, Maria Assunção Faus da Silva Dias
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Abstract

Hailstorms develop over the La Plata Basin, in south-eastern South America, more often during later winter and early austral spring, between September and October. These systems have significant socioeconomic impacts over the region. Thus, a better understanding of how atmospheric drivers modulate the formation of hailstorms is important to improve the forecast of such phenomena. In this study, we selected a hailstorm event observed over the eastern La Plata Basin during 14–15 July 2016 to evaluate the performance of the Brazilian developments on the Regional Atmospheric Modelling System (BRAMS) model. The ability of the model in simulating cloud microphysical properties was evaluated by comparing simulations driven by different global forcings against in situ and remote sensing observations. The model results showed good skill in capturing the basic characteristics of the thunderstorm, particularly in terms of the spatial distribution of hydrometeors. The simulated spatial distribution of hail covers locations where hail fall was reported. The BRAMS simulations suggest that, despite relatively low values of the convective available potential energy (CAPE) (700–1000 J kg−1), environments with strong 0–8-km bulk shear (60–70 kt, ~30.9–36.0 m s–1) can promote the formation of ice clouds and hail fall over the eastern La Plata Basin. To be more conclusive, however, further research is needed to understand how different combinations of CAPE and shear affect hail formation over the region.

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从数值模拟和遥感产品看云团微物理特性:拉普拉塔盆地冰雹事件案例研究
南美洲东南部拉普拉塔盆地上空的冰雹多发生在 9 月至 10 月间的冬末和早春季节。这些系统对该地区的社会经济产生了重大影响。因此,更好地了解大气驱动因素如何调节冰雹的形成,对于改善此类现象的预报非常重要。在本研究中,我们选择了 2016 年 7 月 14-15 日在拉普拉塔盆地东部观测到的一次冰雹事件,以评估巴西开发的区域大气模拟系统(BRAMS)模型的性能。通过将不同全球作用力驱动的模拟结果与现场和遥感观测结果进行比较,评估了模型模拟云微物理特性的能力。模型结果表明,该模型在捕捉雷暴的基本特征,尤其是水文介质的空间分布方面表现出色。模拟的冰雹空间分布覆盖了有冰雹坠落报道的地点。BRAMS 模拟结果表明,尽管对流可用势能 (CAPE) 值相对较低(700-1000 焦耳/千克-1),但在拉普拉塔盆地东部,0-8 千米范围内的强体积切变(60-70 千米/秒,约 30.9-36.0 米-1)会促进冰云的形成和冰雹的降下。不过,要得出更确切的结论,还需要进一步研究,以了解 CAPE 和切变的不同组合如何影响该地区冰雹的形成。
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来源期刊
Journal of Southern Hemisphere Earth Systems Science
Journal of Southern Hemisphere Earth Systems Science Earth and Planetary Sciences-Oceanography
CiteScore
8.10
自引率
8.30%
发文量
0
审稿时长
>12 weeks
期刊介绍: The Journal of Southern Hemisphere Earth Systems Science (JSHESS) publishes broad areas of research with a distinct emphasis on the Southern Hemisphere. The scope of the Journal encompasses the study of the mean state, variability and change of the atmosphere, oceans, and land surface, including the cryosphere, from hemispheric to regional scales. general circulation of the atmosphere and oceans, climate change and variability , climate impacts, climate modelling , past change in the climate system including palaeoclimate variability, atmospheric dynamics, synoptic meteorology, mesoscale meteorology and severe weather, tropical meteorology, observation systems, remote sensing of atmospheric, oceanic and land surface processes, weather, climate and ocean prediction, atmospheric and oceanic composition and chemistry, physical oceanography, air‐sea interactions, coastal zone processes, hydrology, cryosphere‐atmosphere interactions, land surface‐atmosphere interactions, space weather, including impacts and mitigation on technology, ionospheric, magnetospheric, auroral and space physics, data assimilation applied to the above subject areas . Authors are encouraged to contact the Editor for specific advice on whether the subject matter of a proposed submission is appropriate for the Journal of Southern Hemisphere Earth Systems Science.
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