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首页> 外文期刊>Boundary-layer Meteorology >Moving Beyond Monin-Obukhov Similarity Theory in Modelling Wind-Speed Profiles in the Lower Atmospheric Boundary Layer under Stable Stratification
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Moving Beyond Monin-Obukhov Similarity Theory in Modelling Wind-Speed Profiles in the Lower Atmospheric Boundary Layer under Stable Stratification

机译:在稳定分层下超越Monin-Obukhov相似性理论在较低大气边界层的风速剖面建模中

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摘要

Monin-Obukhov similarity theory (MOST) is commonly used to model the wind-speed profile at altitudes relevant to wind-power production (e.g. 10-200 m). Though reasonably accurate for unstable to weakly stable stratification, this approach becomes less accurate under increasingly stable stratification, largely due to the constant-flux surface layer assumed by MOST becoming shallower than the altitude range of interest. Furthermore, above the surface layer, the Coriolis force has a considerable influence on the wind-speed profile (in particular in the formation of low-level jets) that cannot be modelled using similarity theory. Our goal is to compare the accuracy of alternative extrapolation models that are more physically appropriate above the surface layer. Using data from the 213-m Cabauw meteorological tower in the Netherlands between July 2007 and June 2008, it is shown that MOST is accurate only at low altitudes and low stability, and breaks down at high altitudes and high stability. Local similarity is generally more accurate than MOST across all altitudes and stabilities, though the model requires turbulent flux data at multiple altitudes that is generally impractical. In contrast, a two-layer MOST-Ekman model is found to be comparable to the other models at low stability ranges and considerably more accurate in the high stability range, while requiring only a measure of surface stability and the geostrophic wind
机译:Monin-Obukhov相似性理论(MOST)通常用于模拟与风力发电相关的海拔高度(例如10-200 m)的风速剖面。尽管对于不稳定到弱稳定的分层来说是相当准确的,但是这种方法在逐渐稳定的分层中变得不那么精确,这在很大程度上是由于MOST假定的恒定通量表层变得比目标海拔范围浅。此外,在表面层上方,科里奥利力对风速分布有很大影响(特别是在形成低空急流时),这无法使用相似性理论进行建模。我们的目标是比较表面层上方物理上更合适的替代外推模型的准确性。利用2007年7月至2008年6月之间荷兰213米长Cabauw气象塔的数据,表明MOST仅在低海拔和低稳定性时才是准确的,而在高海拔和高稳定性时会崩溃。在所有高度和稳定性下,局部相似性通常比MOST更为准确,尽管该模型需要在多个高度上的湍流数据,这通常是不切实际的。相比之下,发现两层MOST-Ekman模型在低稳定性范围内可与其他模型媲美,而在高稳定性范围内则更为精确,而仅需测量表面稳定性和地转风

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