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The Fallacy of Drifting Snow

机译:飘雪的谬误

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A common parametrization over snow-covered surfaces that are undergoing saltation is that the aerodynamic roughness length for wind speed (zo) scales as au_*~2/g, where is the friction velocity, g is the acceleration of gravity, and a is an empiricalconstant. Data analyses seem to support this scaling: many published plots of zo measured over snow demonstrate proportionality to u_*~2. In fact, I show similar plots here that are based on two large eddy-covariance datasets: one collected over snow-covered Arctic sea ice; another collected over snow-covered Antarctic sea ice. But in these and in most such plots from the literature, the independent variable, u_*, was used to compute zo in the first place; the plots thus suffer from fictitious correlation that causes zo to unavoidably increase with u_* without any intervening physics. For these two datasets, when I plot zo against u_* derived from a bulk flux algorithm—and thus minimize the fictitious correlation—zo is independent of u_* in the drifting snow region, u_* > 0.30 ms~(_l). I conclude that the relation zo = when snow is drifting is a fallacy fostered by analyses that suffer from fictitious correlation.
机译:在经历盐化作用的冰雪覆盖的表面上,常见的参数化是风速(zo)的空气动力学粗糙度长度定为au_ *〜2 / g,其中摩擦速度,g是重力加速度,a是经验常数。数据分析似乎支持这种缩放:许多在雪上测得的zo的公开图都显示与u_ *〜2成比例。实际上,我在这里显示了基于两个大型涡度协方差数据集的相似图:一个是在冰雪覆盖的北极海冰上收集的;另一个是在冰雪覆盖的北极海冰上收集的。另一个是在冰雪覆盖的南极海冰上收集的。但是,在这些文献以及大多数此类文献中,首先使用自变量u_ *来计算zo。因此,这些图具有虚拟相关性,导致zo不可避免地随着u_ *的增加而没有任何介入的物理过程。对于这两个数据集,当我针对从体通量算法得出的u_ *绘制zo从而使虚拟相关性最小时,zo在浮雪区域与u_ *无关,u_ *> 0.30 ms〜(_1)。我得出的结论是,假想相关性的分析助长了zo =当积雪飘移时的谬论。

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