Abstract
Abstract In this study, the air temperature and velocity component means were also computed, as were the fluctuation values of the three component velocities (u, v, and w) and the air temperature (T). The instantaneous velocity can be broken down into its tally of varying and time-averaged contributions using a process known as Reynolds decomposition. The Reynolds decomposition depends on how you define the mean. The results show that the behaviors of the u, v, and w diurnal cycles are anticipated in ABL. The best fit is for air temperature because the correlation coefficient between time and temperature is large. The component fluctuated around zero, and the sum of the fluctuation averages equaled zero. The fluctuation of u was large, which increased because of the initial value of u and because of wind direction and friction velocity.
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