Small-Scale Spatial Variation of the Nocturnal Wind Field
Small-Scale Spatial Variation of the Nocturnal Wind Field
复制标题
夜间风场小尺度空间变化
DOI：
10.1007/s10546-021-00627-z
复制
发表时间：
2021
影响因子：
4.3
通讯作者：
Acevedo, O.
中科院分区：
文献类型：
--
作者：
Mahrt, L.;Belušić, D.;Acevedo, O.
本研究使用水平宽度从 500 m 到 65 km 的八个表面观测网络来研究夜间风场的空间变化。风场分为小尺度变化（亚细观运动）和空间平均风矢量。矢量平均风类似于通过数值模型解析的风，这里根据观测网络上矢量平均的风来提出。小尺度变化代表根据观测域内风矢量的空间变化估计的未解决的子网格（子网络）变化。空间平均热通量的整体公式经过修改，以考虑风场的亚网格变化。对风场空间变化的研究也是出于需要估计单个测量地点的风矢量观测相对于周围景观的风场的代表性的需要。观测到的风场的小尺度变化在网络之间作为空间平均风矢量、分层、网络大小和地形的函数进行对比。尽管每个网络有不同的仪器、部署策略和处理，但对拓扑的强烈依赖还是出现了。即使地形较弱也很重要。简要讨论了未来观测网络的更好设计。
This study examines the spatial variability of the nocturnal wind field using eight networks of surface observations ranging in horizontal width from 500 m to 65 km. The wind field is partitioned into small-scale variability (submeso motions) and the spatially-averaged wind vector. The vector-averaged wind is analogous to the wind resolved by a numerical model, posed here in terms of the wind that is vector averaged over an observational network. The small-scale variability represents the unresolved subgrid (sub-network) variation estimated in terms of the spatial variation of the wind vector within the observational domain. The bulk formula for the spatially-averaged heat flux is modified to account for the subgrid variation of the wind field. Investigation of the spatial variability of the wind field is also motivated by the need to estimate the representativeness of observations of the wind vector at an individual measurement site with respect to the wind field over the surrounding landscape. The small-scale variability of the observed wind field is contrasted between the networks as a function of the spatially-averaged wind vector, stratification, size of the network, and the topography. A strong dependence on topography emerges in spite of different instrumentation, deployment strategy, and processing for each network. Even weak topography can be important. A better design for future observational networks is briefly discussed.
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