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首页> 外文期刊>Russian physics journal >SPATIOTEMPORAL DYNAMICS OF THE VARIANCE OF THE WIND VELOCITY FROM MINI-SODAR MEASUREMENTS
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SPATIOTEMPORAL DYNAMICS OF THE VARIANCE OF THE WIND VELOCITY FROM MINI-SODAR MEASUREMENTS

机译:微型声雷达测量风速变化的时空动力学

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摘要

Statistical trends of the spatiotemporal dynamics of the variance of the three wind velocity components in the atmospheric boundary layer have been established from Doppler mini-sodar measurements. Over the course of a 5-day period of measurements in the autumn time frame from 12 to 16 September 2003, values of the variance of the x- and y-components of the wind velocity lay in the interval from 0.001 to 10 m(2)/s(2), and for the z-component, from 0.001 to 1.2 m(2)/s(2). They were observed to grow during the morning hours (around 11: 00 local time) and in the evening (from 18: 00 to 22: 00 local time), which is explained by the onset of heating and subsequent cooling of the Earth's surface, which are accompanied by an increase in the motion of the air masses. Analysis of the obtained vertical profiles of the standard deviations of the three wind velocity components showed that growth of sigma(x) and sigma(y) with altitude is well described by a power-law dependence with its exponent varying from 0.22 to 1.3 as a function of the time of day while sigma(z) varies according to a linear law. At night (from 00: 00 to 5: 00 local time) the variance of the z-component changes from 0.01 to 0.56 m(2)/s(2), which is in good agreement with the data available in the literature. Fitting parameters are found and the error of the corresponding fits is estimated, which makes it possible to describe the diurnal dynamics of the wind velocity variance.
机译:大气边界层中三个风速分量方差的时空动力学统计趋势已经从多普勒迷你声雷达测量中建立。在2003年9月12日至16日的秋季时间范围内的5天测量过程中,风速的x和y分量的方差值介于0.001至10 m(2 )/ s(2),并且对于z分量,范围为0.001至1.2 m(2)/ s(2)。观察到它们在早上(当地时间11:00左右)和晚上(当地时间18:00至22:00)生长,这可以通过开始加热和随后地球表面冷却来解释,伴随着空气质量运动的增加。对获得的三个风速分量的标准偏差的垂直分布图的分析表明,σ(x)和σ(y)随高度的增长可以通过幂律相关性很好地描述,其指数从0.22到1.3变化为sigma(z)根据线性定律变化时的时间函数。在晚上(当地时间00:00到5:00),z分量的方差从0.01变为0.56 m(2)/ s(2),这与文献中的数据非常吻合。找到拟合参数并估计相应拟合的误差,这使得可以描述风速变化的昼夜动态。

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