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Microburst Detection With the WRF Model: Effective Resolution and Forecasting Indices
Journal of Geophysical Research: Atmospheres ( IF 4.4 ) Pub Date : 2020-06-18 , DOI: 10.1029/2020jd032883
Pedro Bolgiani 1 , Daniel Santos‐Muñoz 1 , Sergio Fernández‐González 2 , Mariano Sastre 1 , Francisco Valero 1, 3 , María Luisa Martín 3, 4
Affiliation  

Microbursts are meteorological phenomena in the lower troposphere which can produce damaging surface winds and pose a severe risk to aircraft flying close to the ground. As these events usually span less than 4 km and 15 min, the spatiotemporal resolution is a challenge for numerical simulations. Although research of microburst using operative mesoscale models is scarce, the Weather Research and Forecasting (WRF) model has been used in the diagnosis of this phenomenon. In this paper, such model is used to simulate several microburst conducive days using two different boundary conditions. The energy spectra of the simulations are computed to evaluate the effective resolution of the model. The results are in line with previous studies and produce no notable differences among the boundary conditions. Nonetheless, the energy spectra show an overenergetic troposphere at microscale resolutions, rendering the effective resolution inadequate for microburst forecasting using the simulated physics variables. Thus, mesoscale indices are analyzed as a prognostic tool. The wind index, the wet microburst severity index and the microburst windspeed potential index do not show high forecasting performances, even though improving the results of climatology. Also, notable differences among the boundary conditions can be seen. The most consistent results are achieved by the wet microburst severity index.

中文翻译:

WRF模型的微爆检测:有效的分辨率和预测指标

微暴是对流层下层的气象现象,会产生破坏性的表面风,并严重威胁飞行器靠近地面飞行。由于这些事件通常跨越不到4 km 15分钟,因此时空分辨率对于数值模拟是一个挑战。尽管使用操作中尺度模型进行微暴的研究很少,但是天气研究和预报(WRF)模型已用于诊断这种现象。在本文中,该模型用于模拟使用两个不同边界条件的几个微暴爆发日。计算模拟的能谱以评估模型的有效分辨率。结果与以前的研究一致,并且在边界条件之间没有显着差异。尽管如此,能谱显示在微观尺度上对流层能量过大,从而使得有效分辨率不足以使用模拟的物理变量来预测微暴。因此,中尺度指数被分析为一种预后工具。尽管改善了气候学结果,但风指数,湿微暴强度指数和微暴风速潜力指数并没有显示出很高的预报性能。同样,可以看到边界条件之间的显着差异。最一致的结果是通过湿微爆强度指数获得的。即使改善了气候学结果,湿微暴强度指数和微暴风速潜力指数也没有表现出很高的预报性能。同样,可以看到边界条件之间的显着差异。最一致的结果是通过湿微爆强度指数获得的。即使改善了气候学结果,湿微暴强度指数和微暴风速潜力指数也没有表现出很高的预报性能。同样,可以看到边界条件之间的显着差异。最一致的结果是通过湿微爆强度指数获得的。
更新日期:2020-07-14
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