Clear-Air Turbulence (CAT) Encounters on 13 November 2019 over Central and Eastern China: Numerical Simulation and Generation Mechanism

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Boyan Hu, Pinhong Hui, Jinfeng Ding, Jianping Tang
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引用次数: 0

Abstract

On 13 November 2019, seven commercial aircraft of China Eastern Airlines encountered nine severe-or-greater clear-air turbulence (CAT) events over central and eastern China within 12 hours (0000 to 1200 UTC). These events mainly occurred at altitudes between 6.0 and 6.7 km. A high-resolution nested numerical simulation is carried out using the Weather Research and Forecasting (WRF) model to investigate the generation mechanism of these CAT events, with a horizontal resolution of 1 km over the inner domain. In addition, seven CAT diagnostics with outstanding performances are employed for the mechanism analysis. The WRF model can reasonably reproduce both synoptic-scale systems (Siberian high and upper-level jet stream) and local vertical structures (temperature, dewpoint temperature, and wind field). The simulation indicates that an upper-level front-jet system with a remarkable meridional temperature gradient intensifies over central and eastern China, with the maximum wind speed increasing from 59.0 to 67.3 m s−1. The intensification of the front-jet system induces the tropopause folding, and nine localized CAT events occur in the region with large vertical wind shear (VWS) (1.55×10−2−2.53×10−2 s−1) and small Richardson numbers (Ri) (0.42-0.85) below the cyclonic side of the jet stream. Diagnostic analysis reveals that Kelvin-Helmholtz instability plays an important role in CAT generation, while convective and inertial instability is not directly associated with CAT generation in this study. A typical flight case with continuous CAT events also suggests that large VWS (greater than 1.3×10−2 s−1) accompanied with small Ri (less than 1) favors CAT generation in a front-jet system environment.
2019年11月13日中国中东部晴空湍流(CAT)遭遇:数值模拟和产生机制
2019年11月13日,中国东方航空公司的7架商用飞机在12小时内(0000至1200 UTC)在中国中部和东部遭遇了9次严重或更严重的晴空湍流(CAT)事件。这些事件主要发生在海拔6.0 ~ 6.7 km之间。利用气象研究与预报(WRF)模式进行了高分辨率嵌套数值模拟,研究了这些CAT事件的产生机制,水平分辨率为1 km。此外,采用7种性能较好的CAT诊断方法进行机理分析。WRF模式可以较好地再现天气尺度系统(西伯利亚高压和高空急流)和局地垂直结构(温度、露点温度和风场)。模拟结果表明,中国中东部上空一个具有显著经向温度梯度的高空前急流系统增强,最大风速从59.0 m s−1增加到67.3 m s−1。锋面急流系统的增强引起对流层顶褶皱,在急流气旋侧下方垂直风切变大(VWS) (1.55×10−2−2.53×10−2 s−1)和理查德森数(Ri)小(0.42 ~ 0.85)的区域发生了9次局部性CAT事件。诊断分析表明,Kelvin-Helmholtz不稳定性在CAT的产生中起重要作用,而对流和惯性不稳定性在本研究中与CAT的产生没有直接关系。一个具有连续CAT事件的典型飞行案例也表明,在前喷射系统环境中,较大的VWS(大于1.3×10−2 s−1)和较小的Ri(小于1)有利于CAT的产生。
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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