粗糙元几何参数的交互作用对床面空气动力学粗糙度的影响   总被引：1，自引：1，他引：0  

梅凡民  蒋缠文  江姗姗  王涛 《中国沙漠》2012,32(6):1534-1541

 为了全面地揭示粗糙元的所有几何参数的交互作用对空气动力学粗糙度的影响,利用风洞实验研究了粗糙元高度、密度、高度与间距比、孔隙度和方向比率等几何参数交互作用对空气动力学粗糙度的影响。结果表明,密实和孔隙粗糙元的无量纲空气动力学粗糙度（空气动力学粗糙度度/粗糙元高度）均可表示为粗糙元密度/等效密度的正比例函数,而比例系数反映了粗糙元几何参数交互作用。据此,该研究发展了一个全面反映粗糙元高度h、密度/等效密度λ、高度与行间距比Sp和方向比率AR等几何参数交互作用的空气动力学粗糙度模式:Z0h=-0.0028+0.5403S0.32p·AR-0.07·λ。该模式改进了模拟的精度,扩大了适用范围。  相似文献   

中国西北干旱区戈壁下垫面夏季的热力输送   总被引：6，自引：1，他引：5  

周德刚  黄刚  马耀明 《南京气象学院学报》2012,(5):541-549

以敦煌戈壁站2004年6月和2008年8月的常规观测和超声观测为例,分析了西北干旱区戈壁下垫面夏季热力输送的一般过程及特征。首先评价了湍流通量的观测质量以及仪器观测的地表能量通量闭合问题,结果表明敦煌戈壁站的观测在白天总体较好。夏季地表能量通量的平均日变化显示,潜热通量整天都很小,可以忽略,白天到达地表的短波辐射以及地表向上的长波辐射非常强,地表净辐射主要转化为感热输送（敦煌戈壁站在中午时平均分别达380W·m-2以上和250W·m-2以上）;夜间土壤释放热量以平衡地表的辐射冷却,感热通量略低于0。白天时地表大气经常触发自由对流活动,影响动量通量的观测质量,并有效输送地表热力至上层大气中,有助于形成超厚大气边界层。分析了戈壁下垫面的动量粗糙度特征和热力粗糙度特征（敦煌戈壁站动量粗糙度约为0．6mm）,热力粗糙度基本小于动量粗糙度一个量级,这符合目前对干旱区戈壁下垫面热力输送特征的初步认识。  相似文献   

黄土高原半干旱区非均一下垫面粗糙度分析   总被引：10，自引：6，他引：4       下载免费PDF全文

张文煜  张宇  陆晓静  郭振海  王晓妍 《高原气象》2009,28(4):763-768

利用2007年4月17日-2008年4月16日兰州大学半干旱气候与环境观测站边界层气象塔的风速、 风向、 温度、 气压、 湿度等观测资料, 采用经典的廓线法和风速、 风向标准差法, 分别计算了中性大气层结下观测站下垫面粗糙度长度, 并得到了具有黄土高原地理特征的地表粗糙度及其时空变化特征。计算结果表明, 季节变化对粗糙度的影响幅度可达0.159 m, 空间非均一性对粗糙度的影响幅度可达0.155 m。测站附近粗糙度春季为0.017 m, 夏季为0.062 m, 秋季为0.065 m, 冬季为0.018 m。测站西北方向上游粗糙度春季为0.17 m, 夏季为0.22 m, 秋季为0.34 m, 冬季为0.05 m。测站东南方向上游粗糙度春季为0.11 m, 夏季为0.17 m, 秋季为0.19 m, 冬季为0.05 m。该站下垫面粗糙度计算宜选用风速为6±1.5 m·s-1, 风向变化30°范围内的数据。  相似文献   

湍流通量参数化方案的非迭代方法研究   总被引：3，自引：2，他引：1  

李煜斌  高志球  袁仁民 《大气科学》2009,33(4):760-770

基于Högström (1996) 和Beljaars et al.(1991) 的研究工作, 沿用Louis et al.(1982) 和Launiainen (1995) 的思路, 本文采用多元回归分析方法, 研发了一种采用非迭代方法的湍流通量参数化方案。该方案直接用整体理查森数、 空气动力学粗糙度长度和热力学粗糙度长度对稳定度参数进行参数化, 从而避免了通过循环迭代计算Monin－Obukhov长度。该方案不仅有效地节省了CPU计算时间, 而且其计算结果与迭代方案 (BHH方案) 的计算结果非常接近。  相似文献   

河西走廊下垫面粗糙度实测值与模拟值的差异性分析   总被引：5，自引：4，他引：1       下载免费PDF全文

胡文超  张文煜  张宇  郭振海  刘欣 《高原气象》2010,29(1):51-55

利用甘肃省河西地区17个风塔观测资料和风向风速标准差法,计算了风塔处的下垫面粗糙度,并与中尺度数值模式ARPS中使用的粗糙度参数进行了比较分析。结果表明,数值模式中使用的粗糙度值和实况具有一定差异,其使用的粗糙度定义方案并不能准确地反映出下垫面粗糙度和非均一性特征。差异最大出现在草原下垫面上,可达375%,且差异程度随下垫面植被复杂程度增加。  相似文献   

青藏高原东部土壤冻融过程中地表粗糙度的确定   总被引：4，自引：1，他引：3       下载免费PDF全文

尚伦宇  吕世华  张宇  奥银焕  罗斯琼  李锁锁  王少影 《高原气象》2010,29(1):17-22

利用黄河源区气候与环境综合观测研究站2006年10月—2007年4月的湍流观测资料和一种新的方法,计算了青藏高原东部玛曲地区土壤冻融过程中的地表粗糙度。结果表明:所用的计算粗糙度的方法是可行的,玛曲土壤未冻结阶段、冻结阶段和融化后阶段的地表粗糙度分别为3.23×10-3m,2.27×10-3m和1.92×10-3m,地表粗糙度呈逐渐减小的趋势。三阶段地表粗糙度有明显区别,以前将冬季前后的粗糙度取为定值的计算会导致一定的误差。  相似文献   

The Effect of Stratification on the Aerodynamic Roughness Length and Displacement Height   总被引：1，自引：0，他引：1  

S. S. Zilitinkevich  I. Mammarella  A. A. Baklanov  S. M. Joffre 《Boundary-Layer Meteorology》2008,129(2):179-190

The roughness length, z _0u , and displacement height, d _0u , characterise the resistance exerted by the roughness elements on turbulent flows and provide a conventional boundary condition for a wide range of turbulent-flow problems. Classical laboratory experiments and theories treat z _0u and d _0u as geometric parameters independent of the characteristics of the flow. In this paper, we demonstrate essential stability dependences—stronger for the roughness length (especially in stable stratification) and weaker but still pronounced for the displacement height. We develop a scaling-analysis model for these dependences and verify it against experimental data.  相似文献   

Temporal and Spatial Variations of the Aerodynamic Roughness Length in the Ablation Zone of the Greenland Ice Sheet   总被引：2，自引：1，他引：1  

C. J. P. P. Smeets  M. R. van den Broeke 《Boundary-Layer Meteorology》2008,128(3):315-338

To understand the response of the Greenland ice sheet to climate change the so-called ablation zone is of particular importance, since it accommodates the yearly net surface ice loss. In numerical models and for data analysis, the bulk aerodynamic method is often used to calculate the turbulent surface fluxes, for which the aerodynamic roughness length (z ₀) is a key parameter. We present, for the first time, spatial and temporal variations of z ₀ in the ablation area of the Greenland ice sheet using year-round data from three automatic weather stations and one eddy-correlation mast. The temporal variation of z ₀ is found to be very high in the lower ablation area (factor 500) with, at the end of the summer melt, a maximum in spatial variation for the whole ablation area of a factor 1000. The variation in time matches the onset of the accumulation and ablation season as recovered by sonic height rangers. During winter, snow accumulation and redistribution by snow drift lead to a uniform value of z ₀≈ 10⁻⁴ m throughout the ablation area. At the beginning of summer, snow melt uncovers ice hummocks and z ₀ quickly increases well above 10⁻² m in the lower ablation area. At the end of summer melt, hummocky ice dominates the surface with z ₀ > 5  ×  10⁻³ m up to 60 km from the ice edge. At the same time, the area close to the equilibrium line (about 90 km from the ice edge) remains very smooth with z ₀ = 10⁻⁵ m. At the beginning of winter, we observed that single snow events have the potential to lower z ₀ for a very rough ice surface by a factor of 20 to 50. The total surface drag of the abundant small-scale ice hummocks apparently dominates over the less frequent large domes and deep gullies. The latter results are verified by studying the individual drag contributions of hummocks and domes with a drag partition model.  相似文献   

The Parameterisation of Scalar Transfer over Rough Ice     

C. J. P. P. Smeets  M. R. van den Broeke 《Boundary-Layer Meteorology》2008,128(3):339-355

We test a surface renewal model that is widely used over snow and ice surfaces to calculate the scalar roughness length (z _s ), one of the key parameters in the bulk aerodynamic method. For the first time, the model is tested against observations that cover a wide range of aerodynamic roughness lengths (z ₀). During the experiments, performed in the ablation areas of the Greenland ice sheet and the Vatnajökull ice cap in Iceland, the surface varied from smooth snow to very rough hummocky ice. Over relatively smooth snow and ice with z ₀ below a threshold value of approximately 10^?3 m, the model performs well and in accord with earlier studies. However, with growing hummock size, z ₀ increases well above the threshold and the bulk aerodynamic flux becomes significantly smaller than the eddy-correlation flux (e.g. for z ₀ = 0.01 m, the bulk aerodynamic flux is about 50% smaller). Apparently, the model severely underpredicts z _s over hummocky ice. We argue that the surface renewal model does not account for the deep inhomogeneous roughness sublayer (RSL) that is generated by the hummocks. As a consequence, the homogeneous substrate ice grain cover becomes more efficiently ‘ventilated’. Calculations with an alternative model that includes the RSL and was adapted for use over hummocky ice, qualitatively confirms our observations. We suggest that, whenever exceedance of the threshold occurs (z ₀  >  10^?3 m, i.e., an ice surface covered with at least 0.3-m high hummocks), the following relation should be used to calculate scalar roughness lengths, ln (z _s /z ₀)  =  1.5  ? 0.2 ln (Re _*)  ? 0.11(ln (Re _*))².  相似文献   

A straightforward approach for using single time domain simulations to assess characteristic extreme responses     

L.V.S. Sagrilo  Z. Gao  E.C.P. Lima 《Ocean Engineering》2011,38(13):1464-1471

Short-term wave design approach of marine structures, using nonlinear time domain simulations, is a design procedure that is recognized by various modern standard codes. One of the most challenging points of this approach is the evaluation of the characteristic extreme values for response parameters used in the design check equations. The most straightforward and recommended way to evaluate a response characteristic value is by fitting an extreme value probability distribution to the N-sample of extreme values extracted from N independent time domain simulations with duration equal to the short-term period indicated by the code, which is usually taken as 3 h. However, this procedure would not be practical for some types of marine structures, such as risers and mooring lines, under numerous design load cases and demanding huge finite element models. A more feasible approach would be to assess the response extreme value distribution using only a single short-term time domain simulation with duration shorter than 3 h. But reduced time simulations always introduce some additional statistical uncertainty into the extreme values estimates. This paper discusses a workable way of properly taking into account the statistical uncertainty associated with the simulation length in the assessment of a characteristic short-term extreme response value based on a single time series.  相似文献