Modeling passive scalar dispersion in the atmospheric boundary layer with WRF large-eddy simulation
Modeling passive scalar dispersion in the atmospheric boundary layer with WRF large-eddy simulation
复制标题
利用 WRF 大涡模拟模拟大气边界层中的被动标量色散
DOI：
10.1016/j.atmosenv.2013.10.026
复制
发表时间：
2014
影响因子：
5
通讯作者：
R. Keeling
中科院分区：
文献类型：
--
作者：
A. Nottrott;J. Kleissl;R. Keeling
对天气研究和预报大涡模拟模式（WRF-LES）模拟对流和中性大气边界层中连续源的被动标量扩散的能力进行了研究。WRF-LES精确地模拟了平均烟羽轨迹和浓度场。白天对流边界层中浓度波动的WRF-LES统计数据与实验室实验和其他LES模式获得的数据相似。然而，在中性边界层模拟近地面的湍流分辨率差，导致下风向水平方向上的平均扩散的预测和过度预测的浓度方差在中性表面层。浓度波动的不透明度因子的梯度在近地面观测到，在白天边界层的地面源的顺风。该观察表明，在源确定应用中，不透明度因子是用于估计源-传感器距离的有希望的度量。
The ability of the Weather Research and Forecasting, large-eddy simulation model (WRF-LES) to model passive scalar dispersion from continuous sources in convective and neutral atmospheric boundary layers was investigated. WRF-LES accurately modeled mean plume trajectories and concentration fields. WRF-LES statistics of concentration fluctuations in the daytime convective boundary layer were similar to data obtained from laboratory experiments and other LES models. However, poor turbulence resolution near the surface in neutral boundary layer simulations caused under prediction of mean dispersion in the crosswind horizontal direction and over prediction of concentration variance in the neutral surface layer. A gradient in the intermittency factor for concentration fluctuations was observed near the surface, downwind of ground-level sources in the daytime boundary layer. That observation suggests that the intermittency factor is a promising metric for estimating source-sensor distance in source determination applications.