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太原上空大气风场及风切变特征研究

Study on Characteristics of the Atmospheric Wind Field and Wind Shear over Taiyuan

  • 摘要: 基于FNL再分析资料的风场数据,利用矢量平均法及数理统计理论,对太原(37.37°N,112.35°E)上空0.8~47 km的大气风场垂直分布特征及风切变特性进行了分析。根据太原上空风场特征和对飞行器发射的影响,本文以风场特征为标准重新划分为四个时期:4月、5月、6月为雨季前期,7月和8月为雨季,9月、10月为雨季后期,11月、12月、1~3月为冬季。根据风场时期变化的差异,垂直结构以5、20 km两个高度层为标准分为3层。在20 km以下,雨季的平均风速要小于其他三个时期;在20 km以上,冬季和雨季风速大于雨季前期和雨季后期。利用综合矢量风方法计算了风切变特征,风切变在冬季40~47 km高度范围内强度最大,其他时期在12 km附近出现次大强度值;最大风引起的风切变主要影响范围在±8 km内。利用新的λ-概率密度函数(λ-PDF)多项式混沌展开法,有效地拟合出风场参数,解决了风场分布的不确定性问题,为复杂的飞行问题提供理论上的支撑。

     

    Abstract: Herein, based on the wind field data from FNL reanalysis data, the atmospheric wind field at altitudes ranging from 0.8 to 47 km above Taiyuan (37.37°N, 112.35°E) is investigated. The vertical distribution and wind shear characteristics of this region are analyzed through vector averaging and mathematical statistics to understand their effects on aircraft launch activities. This analysis identifies four periods based on wind characteristics: April to June marks the early rainy season, July and August constitute the core rainy season, September and October represent the late rainy season, and November to March marks the winter season. According to the seasonal variation of the wind field, the wind vertical structure is divided into three layers, delineated by two height layers: 5 and 20 km. Below 20 km, the average wind speed in the rainy season is lower than in the other three periods. Above 20 km, the average wind speeds in the winter and rainy seasons are higher than in the early and late rainy seasons. The wind shear characteristics are calculated using the integrated vector wind method. Calculation results indicate that the intensity of wind shear is greatest in the height range of 40–47 km in winter, and the maximum intensity value occurs around 12 km in other periods. The primary influence range of the wind shear caused by the maximum wind is at a certain altitude within ±8 km. Using the new λ-Probability distribution function (λ-PDF) polynomial chaotic expansion method, the wind field parameters are effectively fitted and the uncertainty of the wind field distribution is resolved, providing theoretical guidance for complex flight problems.

     

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