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On the gap in the spectra of surface-layer atmospheric turbulence

机译:在表面层大气湍流光谱中的间隙

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A large set of tower data was used to identify the gap that separates small-scale turbulence and mesoscale structures in the cospectra of surface fluxes. The cospectra were obtained using a multi-resolution decomposition algorithm. The gap time scale τ g was found by fitting a fifth-order polynomial to the cospectra and identifying special points occurring after the peak at small scales. In unstable conditions (day) τ g was found to fall as the mean wind speed increased, while no such dependence was observed in stable conditions (night). The gap scale was found to change very weakly with stability both in moderately stable and moderately unstable conditions, with a sharp drop from about 1100 to 250 s occurring in near-neutral conditions. The vertical fluxes computed at different averaging intervals were found to correlate exceptionally well with each other, the scatter being somewhat larger during the night. Although considerable discrepancy may occur for individual records, when averaged over 10 months, the difference in the flux estimated at 7 to 109 min intervals never exceeded 4%, which is comparable or less than the instrumental error.
机译:大量塔数据用于识别在表面通量的共同谱中将小规模湍流和中尺度结构分开的间隙。使用多分辨率分解算法获得了共谱。间隙时间标度τg 是通过将五阶多项式拟合到共谱并识别出小规模出现在峰之后的特殊点而找到的。在不稳定的条件下(白天),发现τg 随着平均风速的增加而下降,而在稳定的条件下(夜晚)则没有这种依赖性。发现间隙标度在中度稳定和中度不稳定的条件下均具有稳定度的非常微弱的变化,在接近中性的条件下从约1100s急剧下降至250s。发现以不同的平均间隔计算的垂直通量相互之间异常相关,夜间散射较大。尽管单个记录可能会出现相当大的差异,但如果平均10个月,则以7到109分钟为间隔估算的通量差异永远不会超过4%,这可与仪器误差相媲美或小于仪器误差。

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