On the turbulent Prandtl number in the stable atmospheric boundary layer

被引:0
作者
Andrey A. Grachev
Edgar L Andreas
Christopher W. Fairall
Peter S. Guest
P. Ola G. Persson
机构
[1] University of Colorado,Cooperative Institute for Research in Environmental Sciences
[2] NOAA Earth System Research Laboratory,undefined
[3] NorthWest Research Associates,undefined
[4] Inc. (Bellevue Division),undefined
[5] Naval Postgraduate School,undefined
来源
Boundary-Layer Meteorology | 2007年 / 125卷
关键词
Richardson number; SHEBA; Stable boundary layer; Turbulent Prandtl number;
D O I
暂无
中图分类号
学科分类号
摘要
This study focuses on the behaviour of the turbulent Prandtl number, Prt, in the stable atmospheric boundary layer (SBL) based on measurements made during the Surface Heat Budget of the Arctic Ocean experiment (SHEBA). It is found that Prt increases with increasing stability if Prt is plotted vs. gradient Richardson number, Ri; but at the same time, Prt decreases with increasing stability if Prt is plotted vs. flux Richardson number, Rf, or vs. ζ =  z/L. This paradoxical behaviour of the turbulent Prandtl number in the SBL derives from the fact that plots of Prt vs. Ri (as well as vs. Rf and ζ) for individual 1-h observations and conventional bin-averaged values of the individual quantities have built-in correlation (or self-correlation) because of the shared variables. For independent estimates of how Prt behaves in very stable stratification, Prt is plotted against the bulk Richardson number; such plots have no built-in correlation. These plots based on the SHEBA data show that, on the average, Prt decreases with increasing stability and Prt <  1 in the very stable case. For specific heights and stabilities, though, the turbulent Prandtl number has more complicated behaviour in the SBL.
引用
收藏
页码:329 / 341
页数:12
相关论文
共 97 条
[1]  
Andreas EL(2002)Parameterizing scalar transfer over snow and ice: a review J Hydormeterol 3 417-432
[2]  
Andreas EL(2002)Comments on ‘Critical test of the validity of Monin-Obukhov similarity during convective conditions’ J Atmos Sci 59 2605-2607
[3]  
Hicks BB(2006)Evaluations of the von Kármán constant in the atmospheric surface layer J Fluid Mech 559 117-149
[4]  
Andreas EL(2006)Exploring self-correlation in flux-gradient relationships for stably stratified conditions J Atmos Sci 63 3045-3054
[5]  
Claffey KJ(2006)Large-eddy simulation of stably stratified atmospheric boundary layer turbulence: a scale-dependent dynamic modeling approach J Atmos Sci 63 2074-2091
[6]  
Jordan RE(2006)An intercomparison of large-eddy simulations of the stable boundary layer Boundary-Layer Meteorol 118 247-272
[7]  
Fairall CW(1991)Flux parameterization over land surfaces for atmospheric models J Appl Meteorol 30 327-341
[8]  
Guest PS(1995)On the magnitude and apparent range of variation of the von Kármán constant in the atmospheric surface layer Boundary-Layer Meteorol 72 371-392
[9]  
Persson POG(1995)A further note ‘On the magnitude and apparent range of variation of the von Kármán constant’ Boundary-Layer Meteorol 73 315-317
[10]  
Grachev AA(2005)Stable boundary-layer scaling regimes: the SHEBA data Boundary-Layer Meteorol 116 201-235