...
首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Turbulent statistical characteristics associated to the north wind phenomenon in southern Brazil with application to turbulent diffusion
【24h】

Turbulent statistical characteristics associated to the north wind phenomenon in southern Brazil with application to turbulent diffusion

机译:与巴西南部北风现象相关的湍流统计特征及其在湍流扩散中的应用

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

A parameterization for the transport processes in a shear driven planetary boundary layer (PBL) has been established employing turbulent statistical quantities measured during the north wind phenomenon in southern Brazil. Therefore, observed one-dimensional turbulent energy spectra are compared with a spectral model based on the Kolmogorov arguments. The good agreement obtained from this comparison leads to well defined formulations for the turbulent velocity variance, local decorrelation time scale and eddy diffusivity. Furthermore, for vertical regions in which the wind shear forcing is relevant, the eddy diffusivity derived from the north wind data presents a similar profile to those obtained from the non-extensive statistical mechanics theory. Finally, a validation for the present parameterization has been accomplished, using a Lagrangian stochastic dispersion model. The Prairie Grass data set, which presents high mean wind speed, is simulated. The analysis developed in this study shows that the turbulence parameterization constructed from wind data for north wind flow cases is able to describe the diffusion in a high wind speed, shear-dominated PBL.
机译:使用在巴西南部北风现象期间测得的湍流统计量,建立了剪切驱动行星边界层(PBL)中传输过程的参数化。因此,将观测到的一维湍动能谱与基于Kolmogorov参数的谱模型进行比较。从该比较中获得的良好一致性导致了湍流速度变化,局部去相关时间尺度和涡流扩散率的明确定义。此外,对于与风切变强迫有关的垂直区域,从北风数据推导出的涡流扩散率与从非广义统计力学理论获得的涡流相似。最后,使用拉格朗日随机色散模型完成了对当前参数化的验证。模拟了代表高平均风速的草原草数据集。这项研究中进行的分析表明,从北风流情况的风数据构建的湍流参数化能够描述在高风速,以剪切力为主的PBL中的扩散。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号